jeo

JEO — Integrated Agent Orchestration

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Install skill "jeo" with this command: npx skills add .

JEO — Integrated Agent Orchestration

Keyword: jeo · annotate · UI-review · agentui (deprecated) | Platforms: Claude Code · Codex CLI · Gemini CLI · OpenCode

A unified skill providing fully automated orchestration flow: Plan (ralph+plannotator) → Execute (team/bmad) → UI Feedback (agentation/annotate) → Cleanup (worktree cleanup)

Control Layers

JEO uses one cross-platform abstraction for orchestration:

  • settings : platform/runtime configuration such as Claude hooks, Codex config.toml , Gemini settings.json , MCP registration, and prompt parameters

  • rules : policy constraints that must hold on every platform

  • hooks : event callbacks that enforce those rules on each platform

The key JEO rules are:

  • do not reopen the PLAN gate when the current plan hash already has a terminal result

  • only a revised plan resets plan_gate_status to pending

  • do not process agentation annotations before explicit submit/onSubmit opens the submit gate

The authoritative state is .omc/state/jeo-state.json . Hooks may help advance the workflow, but they must obey the state file.

  1. Agent Execution Protocol (follow immediately upon jeo keyword detection)

The following are commands, not descriptions. Execute them in order. Each step only proceeds after the previous one completes.

STEP 0: State File Bootstrap (required — always first)

mkdir -p .omc/state .omc/plans .omc/logs

If .omc/state/jeo-state.json does not exist, create it:

{ "phase": "plan", "task": "<detected task>", "plan_approved": false, "plan_gate_status": "pending", "plan_current_hash": null, "last_reviewed_plan_hash": null, "last_reviewed_plan_at": null, "plan_review_method": null, "team_available": null, "retry_count": 0, "last_error": null, "checkpoint": null, "created_at": "<ISO 8601>", "updated_at": "<ISO 8601>", "agentation": { "active": false, "session_id": null, "keyword_used": null, "submit_gate_status": "idle", "submit_signal": null, "submit_received_at": null, "submitted_annotation_count": 0, "started_at": null, "timeout_seconds": 120, "annotations": { "total": 0, "acknowledged": 0, "resolved": 0, "dismissed": 0, "pending": 0 }, "completed_at": null, "exit_reason": null } }

Notify the user:

"JEO activated. Phase: PLAN. Add the annotate keyword if a UI feedback loop is needed."

STEP 0.1: Error Recovery Protocol (applies to all STEPs)

Checkpoint recording — immediately after entering each STEP:

Execute immediately at the start of each STEP (agent updates jeo-state.json directly)

python3 -c " import json, datetime, os, subprocess, tempfile try: root = subprocess.check_output(['git', 'rev-parse', '--show-toplevel'], stderr=subprocess.DEVNULL).decode().strip() except: root = os.getcwd() f = os.path.join(root, '.omc/state/jeo-state.json') if os.path.exists(f): import fcntl with open(f, 'r+') as fh: fcntl.flock(fh, fcntl.LOCK_EX) try: d = json.load(fh) d['checkpoint']='<current_phase>' # 'plan'|'execute'|'verify'|'cleanup' d['updated_at']=datetime.datetime.utcnow().isoformat()+'Z' fh.seek(0) json.dump(d, fh, ensure_ascii=False, indent=2) fh.truncate() finally: fcntl.flock(fh, fcntl.LOCK_UN) " 2>/dev/null || true

last_error recording — on pre-flight failure or exception:

python3 -c " import json, datetime, os, subprocess, fcntl try: root = subprocess.check_output(['git', 'rev-parse', '--show-toplevel'], stderr=subprocess.DEVNULL).decode().strip() except: root = os.getcwd() f = os.path.join(root, '.omc/state/jeo-state.json') if os.path.exists(f): with open(f, 'r+') as fh: fcntl.flock(fh, fcntl.LOCK_EX) try: d = json.load(fh) d['last_error']='<error message>' d['retry_count']=d.get('retry_count',0)+1 d['updated_at']=datetime.datetime.utcnow().isoformat()+'Z' fh.seek(0) json.dump(d, fh, ensure_ascii=False, indent=2) fh.truncate() finally: fcntl.flock(fh, fcntl.LOCK_UN) " 2>/dev/null || true

Checkpoint-based resume on restart:

If jeo-state.json already exists, resume from checkpoint

python3 -c " import json, os, subprocess try: root = subprocess.check_output(['git', 'rev-parse', '--show-toplevel'], stderr=subprocess.DEVNULL).decode().strip() except: root = os.getcwd() f = os.path.join(root, '.omc/state/jeo-state.json') if os.path.exists(f): d=json.load(open(f)) cp=d.get('checkpoint') err=d.get('last_error') if err: print(f'Previous error: {err}') if cp: print(f'Resuming from: {cp}') " 2>/dev/null || true

Rule: Before exit 1 in pre-flight, always update last_error and increment retry_count . If retry_count >= 3 , ask the user whether to abort.

STEP 1: PLAN (never skip)

Pre-flight (required before entering):

Record checkpoint

python3 -c " import json,datetime,os,subprocess,fcntl,tempfile try: root=subprocess.check_output(['git','rev-parse','--show-toplevel'],stderr=subprocess.DEVNULL).decode().strip() except: root=os.getcwd() f=os.path.join(root,'.omc/state/jeo-state.json') if os.path.exists(f): with open(f,'r+') as fh: fcntl.flock(fh,fcntl.LOCK_EX) try: d=json.load(fh) d.update({'checkpoint':'plan','updated_at':datetime.datetime.utcnow().isoformat()+'Z'}) fh.seek(0); json.dump(d,fh,ensure_ascii=False,indent=2); fh.truncate() finally: fcntl.flock(fh,fcntl.LOCK_UN) " 2>/dev/null || true

NOTE: Claude Code — skip this entire bash block.

plannotator is a hook-only binary; calling it directly always fails.

For Claude Code: call EnterPlanMode → write plan → call ExitPlanMode.

The ExitPlanMode PermissionRequest hook fires plannotator automatically.

The following script is for Codex / Gemini / OpenCode only.

GUARD: enforce no-repeat PLAN review by plan hash.

same hash + terminal gate status => skip reopening the plan gate

revised plan.md content => reset gate to pending and review again

PLAN_GATE_STATUS=$(python3 -c " import json, os try: s = json.load(open('.omc/state/jeo-state.json')) print(s.get('plan_gate_status', 'pending')) except Exception: print('pending') " 2>/dev/null || echo "pending")

HASH_MATCH=$(python3 -c " import hashlib, json, os try: s = json.load(open('.omc/state/jeo-state.json')) if not os.path.exists('plan.md'): print('no-match') else: current_hash = hashlib.sha256(open('plan.md', 'rb').read()).hexdigest() print('match' if current_hash == (s.get('last_reviewed_plan_hash') or '') else 'no-match') except Exception: print('no-match') " 2>/dev/null || echo "no-match")

if [[ "$HASH_MATCH" == "match" && "$PLAN_GATE_STATUS" =~ ^(approved|manual_approved|feedback_required|infrastructure_blocked)$ ]]; then echo "✅ Current plan hash already has gate result: $PLAN_GATE_STATUS. Do not reopen plannotator." exit 0 fi

plannotator is mandatory for the PLAN step (Codex/Gemini/OpenCode).

If missing, JEO auto-installs it before opening the PLAN gate.

Resolve the JEO scripts directory (works from any CWD)

_JEO_SCRIPTS="" for _candidate in
"${JEO_SKILL_DIR:-}/scripts"
"$HOME/.agent-skills/jeo/scripts"
"$HOME/.codex/skills/jeo/scripts"
"$(pwd)/.agent-skills/jeo/scripts"
"scripts"
; do if [ -f "${_candidate}/plannotator-plan-loop.sh" ]; then _JEO_SCRIPTS="$_candidate" break fi done

if [ -z "$_JEO_SCRIPTS" ]; then echo "❌ JEO scripts not found. Re-run: bash setup-codex.sh (or setup-gemini.sh)" exit 1 fi

if ! bash "${_JEO_SCRIPTS}/ensure-plannotator.sh"; then echo "❌ plannotator auto-install failed: cannot proceed with PLAN step." echo " Retry: bash ${_JEO_SCRIPTS}/../scripts/install.sh --with-plannotator" exit 1 fi

Required PLAN gate (Codex / Gemini / OpenCode):

- Must wait until approve/feedback is received

- Auto-restart on session exit (up to 3 times)

- After 3 exits, ask user whether to end PLAN

FEEDBACK_DIR=$(python3 -c "import hashlib,os; h=hashlib.md5(os.getcwd().encode()).hexdigest()[:8]; d=f'/tmp/jeo-{h}'; os.makedirs(d,exist_ok=True); print(d)" 2>/dev/null || echo '/tmp') FEEDBACK_FILE="${FEEDBACK_DIR}/plannotator_feedback.txt" bash "${_JEO_SCRIPTS}/plannotator-plan-loop.sh" plan.md "$FEEDBACK_FILE" 3 PLAN_RC=$?

if [ "$PLAN_RC" -eq 0 ]; then echo "✅ Plan approved" elif [ "$PLAN_RC" -eq 10 ]; then echo "❌ Plan not approved — apply feedback, revise plan.md, and retry" exit 1 elif [ "$PLAN_RC" -eq 32 ]; then echo "⚠️ plannotator UI unavailable (sandbox/CI). Entering Conversation Approval Mode:" echo " 1. Output plan.md content to user in conversation" echo " 2. Ask user: 'approve' to proceed or provide feedback" echo " 3. DO NOT proceed to EXECUTE until user explicitly approves" exit 32 elif [ "$PLAN_RC" -eq 30 ] || [ "$PLAN_RC" -eq 31 ]; then echo "⛔ PLAN exit decision (or awaiting confirmation). Confirm with user before retrying." exit 1 else echo "❌ plannotator PLAN gate failed (code=$PLAN_RC)" exit 1 fi mkdir -p .omc/plans .omc/logs

  • Write plan.md (include goal, steps, risks, and completion criteria)

  • Invoke plannotator (per platform):

  • Claude Code (hook mode — only supported method): plannotator is a hook-only binary. It cannot be called via MCP tool or CLI directly. Call EnterPlanMode , write the plan content in plan mode, then call ExitPlanMode . The ExitPlanMode PermissionRequest hook fires the JEO Claude plan-gate wrapper automatically. That wrapper must skip re-entry when the current plan hash already has a terminal review result. Wait for the hook to return before proceeding — approved or feedback will arrive via the hook result.

  • Codex / Gemini / OpenCode: run blocking CLI (never use & ):

_JEO_SCRIPTS must be resolved first via the dynamic path discovery block in the pre-flight above

bash "${_JEO_SCRIPTS}/plannotator-plan-loop.sh" plan.md /tmp/plannotator_feedback.txt 3

If plannotator is missing, JEO must auto-run bash "${_JEO_SCRIPTS}/ensure-plannotator.sh" first and continue only after the CLI is available.

  • Check result:

  • approved: true (Claude Code: hook returns approved) → update jeo-state.json phase to "execute" and plan_approved to true → enter STEP 2

  • Not approved (Claude Code: hook returns feedback; others: exit 10 ) → read feedback, revise plan.md → repeat step 2

  • Infrastructure blocked (exit 32 ) → localhost bind unavailable (e.g., sandbox/CI). Use manual gate in TTY; confirm with user and retry outside sandbox in non-TTY

  • Session exited 3 times (exit 30/31 ) → ask user whether to end PLAN and decide to abort or resume

NEVER: enter EXECUTE without approved: true . NEVER: run with & background. NEVER: reopen the same unchanged plan after approved , manual_approved , feedback_required , or infrastructure_blocked .

STEP 2: EXECUTE

Pre-flight (auto-detect team availability):

Record checkpoint

python3 -c " import json,datetime,os,subprocess,fcntl try: root=subprocess.check_output(['git','rev-parse','--show-toplevel'],stderr=subprocess.DEVNULL).decode().strip() except: root=os.getcwd() f=os.path.join(root,'.omc/state/jeo-state.json') if os.path.exists(f): with open(f,'r+') as fh: fcntl.flock(fh,fcntl.LOCK_EX) try: d=json.load(fh) d.update({'checkpoint':'execute','updated_at':datetime.datetime.utcnow().isoformat()+'Z'}) fh.seek(0); json.dump(d,fh,ensure_ascii=False,indent=2); fh.truncate() finally: fcntl.flock(fh,fcntl.LOCK_UN) " 2>/dev/null || true

TEAM_AVAILABLE=false if [[ "${CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS:-}" =~ ^(1|true|True|yes|YES)$ ]]; then TEAM_AVAILABLE=true elif python3 -c " import json, os, sys try: s = json.load(open(os.path.expanduser('~/.claude/settings.json'))) val = s.get('env', {}).get('CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS', '') sys.exit(0 if str(val) in ('1', 'true', 'True', 'yes') else 1) except Exception: sys.exit(1) " 2>/dev/null; then TEAM_AVAILABLE=true fi export TEAM_AVAILABLE_BOOL="$TEAM_AVAILABLE" python3 -c " import json,os,subprocess,fcntl try: root=subprocess.check_output(['git','rev-parse','--show-toplevel'],stderr=subprocess.DEVNULL).decode().strip() except: root=os.getcwd() f=os.path.join(root,'.omc/state/jeo-state.json') if os.path.exists(f): with open(f,'r+') as fh: fcntl.flock(fh,fcntl.LOCK_EX) try: d=json.load(fh) d['team_available']=os.environ.get('TEAM_AVAILABLE_BOOL','false').lower()=='true' fh.seek(0); json.dump(d,fh,ensure_ascii=False,indent=2); fh.truncate() finally: fcntl.flock(fh,fcntl.LOCK_UN) " 2>/dev/null || true

  • Update jeo-state.json phase to "execute"

  • Check next_mode in state (written by claude-plan-gate.py on approval):

Read next_mode from jeo-state.json

import json, os, subprocess try: root = subprocess.check_output(['git','rev-parse','--show-toplevel'], text=True).strip() except Exception: root = os.getcwd() state = json.load(open(os.path.join(root, '.omc/state/jeo-state.json'))) next_mode = state.get('next_mode', '')

  • next_mode == "ralphmode" → invoke /omc:ralphmode "<task>" (autonomous execution with ralph loop)

  • default → /omc:team 3:executor "<task>"

  • Team available (Claude Code + omc):

ralphmode (set when plan was approved via plannotator):

/omc:ralphmode "<task>"

or standard team mode:

/omc:team 3:executor "<task>"

  • Claude Code but no team: echo "❌ JEO requires Claude Code team mode. Re-run bash scripts/setup-claude.sh, restart Claude Code, and confirm CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1." exit 1

Never fall back to single-agent execution in Claude Code.

  • No omc (BMAD fallback — Codex / Gemini / OpenCode only): /workflow-init # Initialize BMAD /workflow-status # Check current step

STEP 3: VERIFY

  • Update jeo-state.json phase to "verify"

  • Basic verification with agent-browser (when browser UI is present): agent-browser snapshot http://localhost:3000

  • annotate keyword detected → enter STEP 3.1

  • Otherwise → enter STEP 4

STEP 3.1: VERIFY_UI (only when annotate keyword is detected)

  • Pre-flight check (required before entering): if ! curl -sf --connect-timeout 2 http://localhost:4747/health >/dev/null 2>&1; then echo "⚠️ agentation-mcp server not running — skipping VERIFY_UI and proceeding to CLEANUP" python3 -c "

import json,os,subprocess,fcntl,time try: root=subprocess.check_output(['git','rev-parse','--show-toplevel'],stderr=subprocess.DEVNULL).decode().strip() except: root=os.getcwd() f=os.path.join(root,'.omc/state/jeo-state.json') if os.path.exists(f): with open(f,'r+') as fh: fcntl.flock(fh,fcntl.LOCK_EX) try: d=json.load(fh) d['last_error']='agentation-mcp not running; VERIFY_UI skipped' d['updated_at']=time.strftime('%Y-%m-%dT%H:%M:%SZ',time.gmtime()) fh.seek(0); json.dump(d,fh,ensure_ascii=False,indent=2); fh.truncate() finally: fcntl.flock(fh,fcntl.LOCK_UN) " 2>/dev/null || true

Proceed to STEP 4 CLEANUP (no exit 1 — graceful skip)

fi

  1. Update jeo-state.json: phase = "verify_ui", agentation.active = true, agentation.submit_gate_status = "waiting_for_submit"
  2. Wait for explicit human submit:
  • Claude Code: wait for UserPromptSubmit after the user presses Send Annotations / onSubmit
  • Codex / Gemini / OpenCode: wait until the human confirms submission and the agent emits ANNOTATE_READY (or compatibility alias AGENTUI_READY)
  1. Before that submit signal arrives, do not read /pending, do not acknowledge annotations, and do not start the fix loop
  2. After submit arrives, switch agentation.submit_gate_status = "submitted" and record submit_signal, submit_received_at, and submitted_annotation_count
  3. Claude Code (MCP): blocking call to agentation_watch_annotations (batchWindowSeconds:10, timeoutSeconds:120)
  4. Codex / Gemini / OpenCode (HTTP): polling loop via GET http://localhost:4747/pending
  5. Process each annotation: acknowledge → navigate code via elementPath → apply fix → resolve
  6. count=0 or timeout → reset the submit gate or finish the sub-phase → enter STEP 4

NEVER: process draft annotations before submit/onSubmit.

STEP 4: CLEANUP

Pre-flight (check before entering):

# Record checkpoint
python3 -c "
import json,datetime,os,subprocess,fcntl
try:
 root=subprocess.check_output(['git','rev-parse','--show-toplevel'],stderr=subprocess.DEVNULL).decode().strip()
except:
 root=os.getcwd()
f=os.path.join(root,'.omc/state/jeo-state.json')
if os.path.exists(f):
 with open(f,'r+') as fh:
     fcntl.flock(fh,fcntl.LOCK_EX)
     try:
         d=json.load(fh)
         d.update({'checkpoint':'cleanup','updated_at':datetime.datetime.utcnow().isoformat()+'Z'})
         fh.seek(0); json.dump(d,fh,ensure_ascii=False,indent=2); fh.truncate()
     finally:
         fcntl.flock(fh,fcntl.LOCK_UN)
" 2>/dev/null || true

if ! git rev-parse --is-inside-work-tree >/dev/null 2>&#x26;1; then
echo "⚠️ Not a git repository — skipping worktree cleanup"
else
UNCOMMITTED=$(git status --porcelain 2>/dev/null | wc -l | tr -d ' ')
[[ "$UNCOMMITTED" -gt 0 ]] &#x26;&#x26; echo "⚠️ ${UNCOMMITTED} uncommitted change(s) — recommend commit/stash before cleanup"
fi

- Update jeo-state.json
 phase
 to "cleanup"

- Worktree cleanup:
bash scripts/worktree-cleanup.sh || git worktree prune

- Update jeo-state.json
 phase
 to "done"

1. Quick Start

Source of truth: https://github.com/akillness/oh-my-skills

Local paths like ~/.claude/skills/jeo/
 are copies installed via npx skills add
.
To update to the latest version, reinstall using the command below.

# Install JEO (npx skills add — recommended)
npx skills add https://github.com/akillness/oh-my-skills --skill jeo

# Full install (all AI tools + all components)
bash scripts/install.sh --all

# Check status
bash scripts/check-status.sh

# Individual AI tool setup
bash scripts/setup-claude.sh      # Claude Code plugin + hooks
bash scripts/setup-codex.sh       # Codex CLI developer_instructions
bash scripts/setup-gemini.sh      # Gemini CLI hooks + GEMINI.md
bash scripts/setup-opencode.sh    # OpenCode plugin registration

2. Installed Components

Tools that JEO installs and configures:

Tool
Description
Install Command

omc (oh-my-claudecode)
Claude Code multi-agent orchestration
/plugin marketplace add https://github.com/Yeachan-Heo/oh-my-claudecode

omx
Multi-agent orchestration for OpenCode
bunx oh-my-opencode setup

ohmg
Multi-agent framework for Gemini CLI
bunx oh-my-ag

bmad
BMAD workflow orchestration
Included in skills

ralph
Self-referential completion loop
Included in omc or install separately

plannotator
Visual plan/diff review
Auto-installed during PLAN via bash scripts/ensure-plannotator.sh
 (or preinstall with bash scripts/install.sh --with-plannotator
)

agentation
UI annotation → agent code fix integration (annotate
 keyword, agentui
 compatibility maintained)
bash scripts/install.sh --with-agentation

agent-browser
Headless browser for AI agents — primary tool for browser behavior verification
npm install -g agent-browser

playwriter
Playwright-based browser automation (optional)
npm install -g playwriter

3. JEO Workflow

Full Flow

jeo "&#x3C;task>"
    │
    ▼
[1] PLAN (ralph + plannotator)
    Draft plan with ralph → visual review with plannotator → Approve/Feedback
    │
    ▼
[2] EXECUTE
    ├─ team available? → /omc:team N:executor "&#x3C;task>"
    │                    staged pipeline: plan→prd→exec→verify→fix
    └─ no team?       → /bmad /workflow-init → run BMAD steps
    │
    ▼
[3] VERIFY (agent-browser — default behavior)
    Verify browser behavior with agent-browser
    → capture snapshot → confirm UI/functionality is working
    │
    ├─ with annotate keyword → [3.3.1] VERIFY_UI (agentation watch loop)
    │   agentation_watch_annotations blocking → annotation ack→fix→resolve loop
    │
    ▼
[4] CLEANUP
    After all work is done → bash scripts/worktree-cleanup.sh
    git worktree prune

3.1 PLAN Step (ralph + plannotator)

Platform note: The /ralph
 slash command is only available in Claude Code (omc).
Use the "alternative method" below for Codex/Gemini/OpenCode.

Claude Code (omc):

/ralph "jeo-plan: &#x3C;task>" --completion-promise="PLAN_APPROVED" --max-iterations=5

Codex / Gemini / OpenCode (alternative):

# Session-isolated feedback directory (prevents concurrent run conflicts)
FEEDBACK_DIR=$(python3 -c "import hashlib,os; h=hashlib.md5(os.getcwd().encode()).hexdigest()[:8]; d=f'/tmp/jeo-{h}'; os.makedirs(d,exist_ok=True); print(d)" 2>/dev/null || echo '/tmp')
FEEDBACK_FILE="${FEEDBACK_DIR}/plannotator_feedback.txt"

# 1. Write plan.md directly, then review with plannotator (blocking — no &#x26;)
PLANNOTATOR_RUNTIME_HOME="${FEEDBACK_DIR}/.plannotator"
mkdir -p "$PLANNOTATOR_RUNTIME_HOME"
touch /tmp/jeo-plannotator-direct.lock &#x26;&#x26; python3 -c "
import json
print(json.dumps({'tool_input': {'plan': open('plan.md').read(), 'permission_mode': 'acceptEdits'}}))
" | env HOME="$PLANNOTATOR_RUNTIME_HOME" PLANNOTATOR_HOME="$PLANNOTATOR_RUNTIME_HOME" plannotator > "$FEEDBACK_FILE" 2>&#x26;1
# ↑ Run without &#x26;: waits until user clicks Approve/Send Feedback in browser

# 2. Check result and branch
if python3 -c "
import json, sys
try:
    d = json.load(open('$FEEDBACK_FILE'))
    sys.exit(0 if d.get('approved') is True else 1)
except Exception:
    sys.exit(1)
" 2>/dev/null; then
  echo "PLAN_APPROVED"   # → enter EXECUTE step
else
  echo "PLAN_FEEDBACK"   # → read \"$FEEDBACK_FILE\", replan, repeat above
fi

Important: Do not run with &#x26;
 (background). Must run blocking to receive user feedback.

Common flow:

- Generate plan document (plan.md
)

- Run plannotator blocking → browser UI opens automatically

- Review plan in browser → Approve or Send Feedback

- Approve ("approved":true
) → enter [2] EXECUTE step

- Feedback → read /tmp/plannotator_feedback.txt
 annotations and replan (loop)

- exit 32 (sandbox/CI — Conversation Approval Mode):

- Output full plan.md
 content to user

- Ask: "⚠️ plannotator UI unavailable. Reply 'approve' to proceed or provide feedback."

- WAIT for user response — do NOT proceed to EXECUTE

- On approval → update jeo-state.json
 plan_approved=true, plan_gate_status="manual_approved"
 → EXECUTE

- On feedback → revise plan.md
, retry loop, repeat

Claude Code manual run:

Shift+Tab×2 → enter plan mode → plannotator runs automatically when plan is complete

3.2 EXECUTE Step

When team is available (Claude Code + omc):

/omc:team 3:executor "jeo-exec: &#x3C;task based on approved plan>"

- staged pipeline: team-plan → team-prd → team-exec → team-verify → team-fix

- Maximize speed with parallel agent execution

When Claude Code team mode is unavailable:

echo "❌ JEO requires /omc:team in Claude Code. Run bash scripts/setup-claude.sh, restart Claude Code, then retry."
exit 1

- Do not degrade to single-agent mode

When team is unavailable (BMAD fallback — Codex / Gemini / OpenCode):

/workflow-init   # Initialize BMAD workflow
/workflow-status # Check current step

- Proceed in order: Analysis → Planning → Solutioning → Implementation

- Review documents with plannotator after each step completes

3.3 VERIFY Step (agent-browser — default behavior)

When browser-based functionality is present, verify behavior with agent-browser
.

# Capture snapshot from the URL where the app is running
agent-browser snapshot http://localhost:3000

# Check specific elements (accessibility tree ref method)
agent-browser snapshot http://localhost:3000 -i
# → check element state using @eN ref numbers

# Save screenshot
agent-browser screenshot http://localhost:3000 -o verify.png

Default behavior: Automatically runs the agent-browser verification step when browser-related work is complete.
Backend/CLI tasks without a browser UI skip this step.

3.3.1 VERIFY_UI Step (annotate — agentation watch loop)

Runs the agentation watch loop when the annotate
 keyword is detected. (The agentui
 keyword is also supported for backward compatibility.)
This follows the same pattern as plannotator operating in planui
 / ExitPlanMode
.

Prerequisites:

- npx agentation-mcp server
 (HTTP :4747) is running

- &#x3C;Agentation endpoint="http://localhost:4747" />
 is mounted in the app

Pre-flight Check (required before entering — common to all platforms):

# Step 1: Check server status (graceful skip if not running — no exit 1)
if ! curl -sf --connect-timeout 2 http://localhost:4747/health >/dev/null 2>&#x26;1; then
  echo "⚠️  agentation-mcp server not running — skipping VERIFY_UI and proceeding to CLEANUP"
  echo "   (to use agentation: npx agentation-mcp server)"
  python3 -c "
import json,os,subprocess,fcntl,time
try:
    root=subprocess.check_output(['git','rev-parse','--show-toplevel'],stderr=subprocess.DEVNULL).decode().strip()
except:
    root=os.getcwd()
f=os.path.join(root,'.omc/state/jeo-state.json')
if os.path.exists(f):
    with open(f,'r+') as fh:
        fcntl.flock(fh,fcntl.LOCK_EX)
        try:
            d=json.load(fh)
            d['last_error']='agentation-mcp not running; VERIFY_UI skipped'
            d['updated_at']=time.strftime('%Y-%m-%dT%H:%M:%SZ',time.gmtime())
            fh.seek(0); json.dump(d,fh,ensure_ascii=False,indent=2); fh.truncate()
        finally:
            fcntl.flock(fh,fcntl.LOCK_UN)
" 2>/dev/null || true
  # Proceed to STEP 4 CLEANUP (no exit 1 — graceful skip)
else
  # Step 2: Check session existence (&#x3C;Agentation> component mount status)
  SESSIONS=$(curl -sf http://localhost:4747/sessions 2>/dev/null)
  S_COUNT=$(echo "$SESSIONS" | python3 -c "import sys,json; print(len(json.load(sys.stdin)))" 2>/dev/null || echo 0)
  [ "$S_COUNT" -eq 0 ] &#x26;&#x26; echo "⚠️ No active sessions — &#x3C;Agentation endpoint='http://localhost:4747' /> needs to be mounted"
  echo "✅ agentation ready — server OK, ${S_COUNT} session(s)"
fi

After passing pre-flight (else
 branch), update jeo-state.json phase
 to "verify_ui"
, set agentation.active
 to true
, and set agentation.submit_gate_status
 to "waiting_for_submit"
.
Do not call /pending
 yet. Draft annotations are not actionable until the user explicitly submits them.

Claude Code (direct MCP tool call):

# annotate keyword detected (or agentui — backward compatible)
# 1. wait for UserPromptSubmit after the user clicks Send Annotations / onSubmit
# 2. the JEO submit-gate hook records submit_gate_status="submitted"
# 3. only then run the blocking agentation watch loop
#
# batchWindowSeconds:10 — receive annotations in 10-second batches
# timeoutSeconds:120   — auto-exit after 120 seconds with no annotations
#
# Per-annotation processing loop:
# 1. agentation_acknowledge_annotation({id})           — show 'processing' in UI
# 2. navigate code via annotation.elementPath (CSS selector) → apply fix
# 3. agentation_resolve_annotation({id, summary})      — mark 'done' + save summary
#
# Loop ends when annotation count=0 or timeout

Important: agentation_watch_annotations
 is a blocking call. Do not run with &#x26;
 background.
Same as plannotator's approved:true
 loop: annotation count=0 or timeout = completion signal.
annotate
 is the primary keyword. agentui
 is a backward-compatible alias and behaves identically.

Codex / Gemini / OpenCode (HTTP REST API fallback):

START_TIME=$(date +%s)
TIMEOUT_SECONDS=120

# Required gate: do not enter the loop until the human has clicked Send Annotations
# and the platform has opened agentation.submit_gate_status="submitted".
while true; do
  # Timeout check
  NOW=$(date +%s)
  ELAPSED=$((NOW - START_TIME))
  if [ $ELAPSED -ge $TIMEOUT_SECONDS ]; then
    echo "[JEO] agentation polling timeout (${TIMEOUT_SECONDS}s) — some annotations may remain unresolved"
    break
  fi

  SUBMIT_GATE=$(python3 -c "
import json
try:
    print(json.load(open('.omc/state/jeo-state.json')).get('agentation', {}).get('submit_gate_status', 'idle'))
except Exception:
    print('idle')
" 2>/dev/null || echo "idle")
  if [ "$SUBMIT_GATE" != "submitted" ]; then
    sleep 2
    continue
  fi

  COUNT=$(curl -sf --connect-timeout 3 --max-time 5 http://localhost:4747/pending 2>/dev/null | python3 -c "import sys,json; data=sys.stdin.read(); d=json.loads(data) if data.strip() else {}; print(d.get('count', len(d.get('annotations', [])) if isinstance(d, dict) else 0))" 2>/dev/null || echo 0)
  [ "$COUNT" -eq 0 ] &#x26;&#x26; break

  # Process each annotation:
  # a) Acknowledge (show as in-progress)
  curl -X PATCH http://localhost:4747/annotations/&#x3C;id> \
    -H 'Content-Type: application/json' \
    -d '{"status": "acknowledged"}'

  # b) Navigate code via elementPath (CSS selector) → apply fix

  # c) Resolve (mark done + fix summary)
  curl -X PATCH http://localhost:4747/annotations/&#x3C;id> \
    -H 'Content-Type: application/json' \
    -d '{"status": "resolved", "resolution": "&#x3C;fix summary>"}'

  sleep 3
done

3.4 CLEANUP Step (automatic worktree cleanup)

# Runs automatically after all work is complete
bash scripts/worktree-cleanup.sh

# Individual commands
git worktree list                         # List current worktrees
git worktree prune                        # Clean up worktrees for deleted branches
bash scripts/worktree-cleanup.sh --force  # Force cleanup including dirty worktrees

Default run removes only clean extra worktrees; worktrees with changes are left with a warning.
Use --force
 only after review.

4. Platform Plugin Configuration

4.1 Claude Code

# Automatic setup
bash scripts/setup-claude.sh

# Or manually:
/plugin marketplace add https://github.com/Yeachan-Heo/oh-my-claudecode
/plugin install oh-my-claudecode
/omc:omc-setup

# Add plannotator hook
bash .agent-skills/plannotator/scripts/setup-hook.sh

Config file: ~/.claude/settings.json

{
  "hooks": {
    "PermissionRequest": [{
      "matcher": "ExitPlanMode",
      "hooks": [{
        "type": "command",
        "command": "python3 ~/.claude/skills/jeo/scripts/claude-plan-gate.py",
        "timeout": 1800
      }]
    }]
  }
}

agentation MCP config (~/.claude/settings.json
 or .claude/mcp.json
):

{
  "mcpServers": {
    "agentation": {
      "command": "npx",
      "args": ["-y", "agentation-mcp", "server"]
    }
  },
  "hooks": {
    "UserPromptSubmit": [{
      "matcher": "*",
      "hooks": [{
        "type": "command",
        "command": "python3 ~/.claude/skills/jeo/scripts/claude-agentation-submit-hook.py",
        "timeout": 300
      }]
    }]
  }
}

4.2 Codex CLI

# Automatic setup
bash scripts/setup-codex.sh

# What gets configured:
# - developer_instructions: ~/.codex/config.toml
# - prompt file: ~/.codex/prompts/jeo.md
# - notify hook: ~/.codex/hooks/jeo-notify.py
# - [tui] notifications: agent-turn-complete

agentation MCP config (~/.codex/config.toml
):

[mcp_servers.agentation]
command = "npx"
args = ["-y", "agentation-mcp", "server"]

notify hook (~/.codex/hooks/jeo-notify.py
):

- Detects PLAN_READY
 signal in last-assistant-message
 when agent turn completes

- Confirms plan.md
 exists, compares the current hash against last_reviewed_plan_hash
, and skips the gate when the plan was already reviewed

- Saves result to /tmp/plannotator_feedback.txt

- Detects ANNOTATE_READY
 signal (or backward-compatible AGENTUI_READY
) only in verify_ui

- Opens agentation.submit_gate_status="submitted"
 first, then polls http://localhost:4747/pending

~/.codex/config.toml
 config:

developer_instructions = """
# JEO Orchestration Workflow
# ...
"""

notify = ["python3", "~/.codex/hooks/jeo-notify.py"]

[tui]
notifications = ["agent-turn-complete"]
notification_method = "osc9"

developer_instructions
 must be a top-level string.
Writing it as a [developer_instructions]
 table may cause Codex to fail on startup with invalid type: map, expected a string
.
notify
 and [tui].notifications
 must also be set correctly for the PLAN/ANNOTATE follow-up loop to actually work.

Using in Codex:

/prompts:jeo    # Activate JEO workflow
# Agent writes plan.md and outputs "PLAN_READY" → notify hook runs automatically

4.3 Gemini CLI

# Automatic setup
bash scripts/setup-gemini.sh

# What gets configured:
# - AfterAgent backup hook: ~/.gemini/hooks/jeo-plannotator.sh
# - Instructions (MANDATORY loop): ~/.gemini/GEMINI.md

Key principle: The agent must call plannotator directly in blocking mode to receive feedback in the same turn.
The AfterAgent hook serves only as a safety net (runs after turn ends → injected in next turn).

AfterAgent backup hook (~/.gemini/settings.json
):

{
  "hooks": {
    "AfterAgent": [{
      "matcher": "",
      "hooks": [{
        "name": "plannotator-review",
        "type": "command",
        "command": "bash ~/.gemini/hooks/jeo-plannotator.sh",
        "description": "Run plannotator when plan.md is detected (AfterAgent backup)"
      }]
    }]
  }
}

PLAN instructions added to GEMINI.md (mandatory loop):

1. Write plan.md
2. Run plannotator blocking (no &#x26;) → /tmp/plannotator_feedback.txt
3. approved=true → EXECUTE / Not approved → revise and repeat step 2
NEVER proceed to EXECUTE without approved=true.

agentation MCP config (~/.gemini/settings.json
):

{
  "mcpServers": {
    "agentation": {
      "command": "npx",
      "args": ["-y", "agentation-mcp", "server"]
    }
  }
}

Note: Gemini CLI hook events use BeforeTool
 and AfterAgent
.
ExitPlanMode
 is a Claude Code-only hook.

Hooks Official Guide

4.4 OpenCode

# Automatic setup
bash scripts/setup-opencode.sh

# Added to opencode.json:
# "@plannotator/opencode@latest" plugin
# "@oh-my-opencode/opencode@latest" plugin (omx)

OpenCode slash commands:

- /jeo-plan
 — plan with ralph + plannotator

- /jeo-exec
 — execute with team/bmad

- /jeo-annotate
 — start agentation watch loop (annotate; /jeo-agentui
 is a deprecated alias)

- /jeo-cleanup
 — worktree cleanup

plannotator integration (MANDATORY blocking loop):

# Write plan.md then run PLAN gate (no &#x26;) — receive feedback in same turn
bash scripts/plannotator-plan-loop.sh plan.md /tmp/plannotator_feedback.txt 3
# - Must wait until approve/feedback is received
# - Auto-restart on session exit (up to 3 times)
# - After 3 exits, confirm with user whether to abort or resume
# - exit 32 if localhost bind unavailable (replace with manual gate in TTY)

# Branch based on result
# approved=true  → enter EXECUTE
# not approved   → apply feedback, revise plan.md → repeat above

agentation MCP config (opencode.json
):

{
  "mcp": {
    "agentation": {
      "type": "local",
      "command": ["npx", "-y", "agentation-mcp", "server"]
    }
  }
}

5. Memory &#x26; State

JEO stores state at the following paths:

{worktree}/.omc/state/jeo-state.json   # JEO execution state
{worktree}/.omc/plans/jeo-plan.md      # Approved plan
{worktree}/.omc/logs/jeo-*.log         # Execution logs

State file structure:

{
  "mode": "jeo",
  "phase": "plan|execute|verify|verify_ui|cleanup|done",
  "session_id": "&#x3C;uuid>",
  "task": "current task description",
  "plan_approved": true,
  "plan_gate_status": "pending|approved|feedback_required|infrastructure_blocked|manual_approved",
  "plan_current_hash": "&#x3C;sha256 or null>",
  "last_reviewed_plan_hash": "&#x3C;sha256 or null>",
  "last_reviewed_plan_at": "2026-02-24T00:00:00Z",
  "plan_review_method": "plannotator|manual|null",
  "team_available": true,
  "retry_count": 0,
  "last_error": null,
  "checkpoint": "plan|execute|verify|verify_ui|cleanup",
  "created_at": "2026-02-24T00:00:00Z",
  "updated_at": "2026-02-24T00:00:00Z",
  "agentation": {
    "active": false,
    "session_id": null,
    "keyword_used": null,
    "submit_gate_status": "idle|waiting_for_submit|submitted",
    "submit_signal": "claude-user-prompt-submit|codex-notify|gemini-manual|null",
    "submit_received_at": "2026-02-24T00:00:00Z",
    "submitted_annotation_count": 0,
    "started_at": null,
    "timeout_seconds": 120,
    "annotations": {
      "total": 0, "acknowledged": 0, "resolved": 0, "dismissed": 0, "pending": 0
    },
    "completed_at": null,
    "exit_reason": null
  }
}

agentation fields: active
 — whether the watch loop is running (used as hook guard), session_id
 — for resuming,
submit_gate_status
 — prevents processing draft annotations before submit/onSubmit, submit_signal
 — which platform opened the gate,
submit_received_at
 / submitted_annotation_count
 — audit trail for the submitted batch, exit_reason
 — "all_resolved"
 | "timeout"
 | "user_cancelled"
 | "error"

dismissed annotations: When a user dismisses an annotation in the agentation UI (status becomes "dismissed"
),
the agent should skip code changes for that annotation, increment annotations.dismissed
, and continue to the next pending annotation.
Dismissed annotations are counted but not acted upon. The watch loop exits normally when pending == 0
 (resolved + dismissed covers all).

plan_review_method
: set to "plannotator"
 when approved via UI, "manual"
 when approved via TTY fallback gate.

cleanup_completed
: set to true
 by worktree-cleanup.sh
 after successful worktree prune.

Error recovery fields:

- retry_count
 — number of retries after an error. Increments +1 on each pre-flight failure. Ask user to confirm if >= 3
.

- last_error
 — most recent error message. Used to identify the cause on restart.

- checkpoint
 — last phase that was started. Resume from this phase on restart (plan|execute|verify|cleanup
).

Checkpoint-based resume flow:

# Check checkpoint on restart
python3 -c "
import json, os, subprocess
try:
    root = subprocess.check_output(['git', 'rev-parse', '--show-toplevel'], stderr=subprocess.DEVNULL).decode().strip()
except:
    root = os.getcwd()
f = os.path.join(root, '.omc/state/jeo-state.json')
if os.path.exists(f):
    d=json.load(open(f))
    cp=d.get('checkpoint')
    err=d.get('last_error')
    rc=d.get('retry_count',0)
    print(f'Resume from: {cp or \"beginning\"}')
    if err: print(f'Previous error ({rc} time(s)): {err}')
    if rc >= 3: print('⚠️ Retry count exceeded 3 — user confirmation required')
"

Restore after restart:

# Check status and resume
bash scripts/check-status.sh --resume

6. Recommended Workflow

# Step 1: Install (once)
bash scripts/install.sh --all
bash scripts/check-status.sh

# Step 2: Start work
jeo "&#x3C;task description>"           # Activate with keyword
# Or in Claude: Shift+Tab×2 → plan mode

# Step 3: Review plan with plannotator
# Approve or Send Feedback in browser UI

# Step 4: Automatic execution
# team or bmad handles the work

# Step 5: Cleanup after completion
bash scripts/worktree-cleanup.sh

7. Best Practices

- Plan first: always review the plan with ralph+plannotator before executing (catches wrong approaches early)

- Team first: omc team mode is most efficient in Claude Code

- bmad fallback: use BMAD in environments without team (Codex, Gemini)

- Worktree cleanup: run worktree-cleanup.sh
 immediately after work completes (prevents branch pollution)

- State persistence: use .omc/state/jeo-state.json
 to maintain state across sessions

- annotate: use the annotate
 keyword to run the agentation watch loop for complex UI changes (precise code changes via CSS selector). agentui
 is a backward-compatible alias.

8. Troubleshooting

Issue
Solution

plannotator not running
JEO first auto-runs bash scripts/ensure-plannotator.sh
; if it still fails, run bash .agent-skills/plannotator/scripts/check-status.sh

plannotator not opening in Claude Code
plannotator is hook-only. Do NOT call it via MCP or CLI. Use EnterPlanMode
 → write plan → ExitPlanMode
; the hook fires automatically. Verify hook is set: cat ~/.claude/settings.json | python3 -c "import sys,json;h=json.load(sys.stdin).get('hooks',{});print(h.get('PermissionRequest','missing'))"

plannotator feedback not received
Remove &#x26;
 background execution → run blocking, then check /tmp/plannotator_feedback.txt
 (Codex/Gemini/OpenCode only)

Same plan is repeatedly re-reviewed in Codex
Compare last_reviewed_plan_hash
 in jeo-state.json
 with the current plan.md
 hash. If they match and plan_gate_status
 is terminal, do not re-run

Codex startup failure (invalid type: map, expected a string
)
Re-run bash scripts/setup-codex.sh
 and confirm developer_instructions
 in ~/.codex/config.toml
 is a top-level string

Gemini feedback loop missing
Add blocking direct call instruction to ~/.gemini/GEMINI.md

worktree conflict
git worktree prune &#x26;&#x26; git worktree list

team mode not working
JEO requires team mode in Claude Code. Run bash scripts/setup-claude.sh
, restart Claude Code, and verify CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1
 before retrying

omc install failed
Run /omc:omc-doctor

agent-browser error
Check agent-browser --version

annotate (agentation) not opening
Check curl http://localhost:4747/health
 and curl http://localhost:4747/sessions
. JEO waits for explicit submit/onSubmit before polling /pending

annotation not reflected in code
Confirm summary
 field is present when calling agentation_resolve_annotation

agentui
 keyword not activating
Use the annotate
 keyword (new). agentui
 is a deprecated alias but still works.

MCP tool not registered (Codex/Gemini)
Re-run bash scripts/setup-codex.sh
 / setup-gemini.sh

9. References

- oh-my-claudecode — Claude Code multi-agent

- plannotator — visual plan/diff review

- BMAD Method — structured AI development workflow

- Agent Skills Spec — skill format specification

- agentation — UI annotation → agent code fix integration (annotate
; agentui
 backward compatible)

Source Transparency

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