ralph

Ralph — Autonomous Agent Runner

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Install skill "ralph" with this command: npx skills add vechain/vechain-ai-skills/vechain-vechain-ai-skills-ralph

Ralph — Autonomous Agent Runner

Ralph is a bash script that runs Claude autonomously to implement features from a PRD. It processes one user story per iteration, commits after each, and stops when the PRD is complete.

First-time Setup

When the user first invokes Ralph, check if the project is set up:

  • If ralph.sh doesn't exist in the project root, create it from references/ralph-script.md (in this skill's directory)

  • Make it executable: chmod +x ralph.sh

  • Add to .gitignore if not already present: prd.json , progress.txt

  • Create tasks/ directory if it doesn't exist

  • Create empty progress.txt if it doesn't exist

  • Verify jq is installed (which jq ); if not, tell the user to install it (brew install jq )

Workflow

  • Create a PRD using the prd skill → saves to tasks/prd-[feature-name].md

  • Convert the PRD to prd.json using the conversion rules below

  • Run Ralph in a separate terminal: ./ralph.sh 10 (number = max iterations)

  • Wait for completion — Ralph implements each story and commits

PRD to prd.json Conversion

Output Format

{ "project": "[Project Name]", "branchName": "ralph/[feature-name-kebab-case]", "description": "[Feature description from PRD title/intro]", "userStories": [ { "id": "US-001", "title": "[Story title]", "description": "As a [user], I want [feature] so that [benefit]", "acceptanceCriteria": [ "Criterion 1", "Criterion 2", "Typecheck passes" ], "priority": 1, "passes": false, "notes": "" } ] }

Conversion Rules

  • Each user story becomes one JSON entry

  • IDs: Sequential (US-001, US-002, etc.)

  • Priority: Based on dependency order, then document order

  • All stories: passes: false and empty notes

  • branchName: Derive from feature name, kebab-case, prefixed with ralph/

  • Always add: "Typecheck passes" to every story's acceptance criteria

Story Size: The Number One Rule

Each story must be completable in ONE Ralph iteration (one context window).

Ralph spawns a fresh Claude instance per iteration with no memory of previous work. If a story is too big, the LLM runs out of context before finishing and produces broken code.

Right-sized stories:

  • Add a database column and migration

  • Add a UI component to an existing page

  • Update a server action with new logic

  • Add a filter dropdown to a list

Too big (split these):

  • "Build the entire dashboard" → Split into: schema, queries, UI components, filters

  • "Add authentication" → Split into: schema, middleware, login UI, session handling

  • "Refactor the API" → Split into one story per endpoint or pattern

Rule of thumb: If you cannot describe the change in 2-3 sentences, it is too big.

Story Ordering: Dependencies First

Stories execute in priority order. Earlier stories must not depend on later ones.

Correct order:

  • Schema/database changes (migrations)

  • Server actions / backend logic

  • UI components that use the backend

  • Dashboard/summary views that aggregate data

Wrong order:

  • UI component (depends on schema that does not exist yet)

  • Schema change

Acceptance Criteria: Must Be Verifiable

Each criterion must be something Ralph can CHECK, not something vague.

Good criteria (verifiable):

  • "Add status column to tasks table with default 'pending'"

  • "Filter dropdown has options: All, Active, Completed"

  • "Clicking delete shows confirmation dialog"

  • "Typecheck passes"

  • "Tests pass"

Bad criteria (vague):

  • "Works correctly"

  • "User can do X easily"

  • "Good UX"

  • "Handles edge cases"

Always include as final criterion:

"Typecheck passes"

For stories with testable logic, also include:

"Tests pass"

For stories that change UI, also include:

"Verify in browser"

Frontend stories are NOT complete until visually verified in the browser.

Archiving Previous Runs & Reset

Before writing a new prd.json, check if there is an existing one from a different feature:

  • Read the current prd.json if it exists

  • Check if branchName differs from the new feature's branch name

  • If different AND progress.txt has content:

  • Create archive folder: archive/YYYY-MM-DD-feature-name/

  • Copy current prd.json and progress.txt to archive

ALWAYS reset progress.txt:

After writing the new prd.json , reset progress.txt to empty:

echo "" > progress.txt

How Ralph Works (for reference)

Each iteration:

  • Find highest-priority story with passes: false

  • Implement the feature

  • Run type checks

  • Update prd.json : set passes: true and add notes

  • Append progress to progress.txt

  • Create a git commit

Stops when all stories have passes: true or iterations exhausted.

Running Ralph

./ralph.sh 10 # Run up to 10 iterations

Requirements

  • jq installed (brew install jq )

  • Claude CLI configured and authenticated

Safety

  • Ralph auto-switches to the branch specified in prd.json

  • Refuses to run on main or master

Checklist Before Saving prd.json

  • Previous run archived (if prd.json exists with different branchName)

  • Each story is completable in one iteration (small enough)

  • Stories are ordered by dependency (schema → backend → UI)

  • Every story has "Typecheck passes" as criterion

  • UI stories have "Verify in browser" as criterion

  • Acceptance criteria are verifiable (not vague)

  • No story depends on a later story

  • progress.txt reset to empty after writing prd.json

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