sprint-planner

Convert complex implementation plans into focused, autonomous agent sprints with measurable acceptance criteria. Use when (1) decomposing a large plan into agent-executable chunks, (2) breaking down multi-endpoint migrations or multi-step projects, (3) creating sprint definitions with acceptance criteria for autonomous agents, (4) planning dependency chains across implementation sprints, or (5) structuring work for parallel agent execution.

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Install skill "sprint-planner" with this command: npx skills add jkappers/agent-skills/jkappers-agent-skills-sprint-planner

Sprint Planner

Decompose complex implementation plans into focused, autonomous agent sprints. Each sprint is self-contained, has measurable acceptance criteria, and can execute without human intervention.

When invoked with arguments, decompose: $ARGUMENTS

When to Use

Plan CharacteristicsAction
>15 discrete steps or >8K tokensDecompose into sprints
Cross-domain work (multiple categories, services, or layers)Decompose into sprints
Long-running work requiring checkpointsDecompose into sprints
<10 steps, single domain, clear scopeExecute directly — decomposition adds overhead
Exploratory or research workExecute directly — fluid reasoning needs cross-domain context

When uncertain, decompose. The cost of unnecessary decomposition is low; the cost of context collapse mid-execution is high.

Workflow

  1. Load the plan — Read the plan from the argument path or user input. If the input is a description rather than a file, ask for the full plan or spec location.
  2. Inventory work items — List every discrete deliverable (endpoints, migrations, features, integrations). Categorize each by complexity: setup, simple, stub, complex, integration.
  3. Identify dependencies — Map which items depend on others. Group independent items for parallel execution.
  4. Batch into sprints — Apply the Batching Strategy table below. Each sprint gets 2-6 items maximum.
  5. Write sprint definitions — Define each sprint using the Sprint Structure fields. Write acceptance criteria using the Acceptance Criteria Format.
  6. Build dependency chain — Express the full chain as: 1 → 2, 3 → 4 → 5
  7. Output the plan — Write the sprint plan using assets/sprint-template.yaml. Append the Execution Protocol and Rollback sections from references/execution-protocol.md.

Sprint Requirements

Every sprint MUST satisfy:

RequirementConstraint
Duration2-4 hours
Scope2-6 discrete items maximum
Acceptance criteria3-5 verifiable checks with measurable outcomes
DependenciesExplicitly listed by sprint ID
AutonomyExecutable without human intervention
Token budgetSprint definition fits in <2K input tokens (scope + criteria + constraints + references)

Sprint Structure

Every sprint defines these fields:

FieldRequirement
sprint_idSequential integer
titleFormat: "Category: Description" (e.g., "Setup: Create Feature Structure")
duration_hours1-4 hours
dependenciesList of sprint IDs that must complete first. Empty list if none
input_stateExact filesystem/database state before sprint
output_stateExact filesystem/database state after sprint
scopeBulleted list of discrete work items
acceptance_criteria3-5 verifiable checks (see format below)
constraintsExplicit prohibitions — what NOT to do
reference_materialFile path + line range or section name. Never paste full source
style_anchorPath to shared conventions doc (naming, patterns, structure). All sprints reference the same anchor to prevent drift

Acceptance Criteria Format

Use measurable, deterministic checks. Never use "code looks good", "follows conventions", or "works correctly".

Criterion TypeFormatExample
Artifact exists"Files exist: [paths]""Files exist: FundEndpoints.cs, AccountEndpoints.cs"
Code pattern present"[File] contains [pattern]""InvestorApiEndpoints.cs registers 5 handler methods"
Build/test success"[command] succeeds with [result]""dotnet build --configuration Release succeeds with 0 errors"
Verification output"[endpoint/command] returns [expected]""GET /api/v1/investors returns 200 with JSON array"
Integration checkpoint"Manual review: [action]""Manual review: Run smoke test and verify UI loads"

Batching Strategy

Sprint TypeDurationItemsUse For
Setup1h1 complex setupFolder structure, service registration, scaffolding
Simple CRUD bulk2-3h5-10 endpointsStraightforward GET/POST handler migrations
Stub migration2h8-12 stubsReplace hardcoded data with database queries
Complex work3-4h1-2 itemsPDF generation, calculations, email, file processing
Integration2h1 taskRoute registration, config updates, OpenAPI verification

Batching rules:

  • Separate infrastructure setup from implementation
  • Group by feature or category to reduce context switching
  • Isolate complex work into dedicated sprints
  • Never mix setup and implementation in the same sprint
  • Design each sprint to be independently re-executable from its input_state — if a sprint fails, it can be re-run without repeating prior sprints

Context Minimization

LLM performance degrades 30-40% when sprint context exceeds ~2K tokens, and information placed mid-context is used 30-60% less effectively than information at the start or end. Minimize each sprint definition to only what execution requires.

Rules:

  • Reference the full plan by file path — do not paste content inline
  • Order fields so acceptance criteria and constraints appear before reference material — critical information must not be buried at the end
  • Target <2K tokens per sprint definition (scope + criteria + constraints + references combined)
# Correct
reference_material: "docs/plan.md lines 45-67"

# Wrong
reference_material: "[full source code pasted here]"

Dependency Ordering

Mark dependencies explicitly. Independent sprints can execute in parallel.

sprint_id: 4
dependencies: [1, 3]  # Must complete sprints 1 and 3 first

Express the full chain in the plan header:

dependency_chain: "1 → 2, 3, 4 → 5 → 7"

Where commas indicate parallel sprints and arrows indicate sequential dependencies.

Output

Write the sprint plan as YAML using assets/sprint-template.yaml.

After the sprint definitions, append:

See references/example.md for a complete 43-endpoint migration decomposed into 7 sprints.

Validation Checklist

  • Every sprint has 3-5 measurable acceptance criteria
  • No criterion uses subjective language
  • All dependencies are explicitly declared
  • No sprint exceeds 4 hours or 6 items
  • Each sprint definition fits within ~2K input tokens
  • Reference materials use file paths, not inline content
  • Acceptance criteria and constraints appear before reference material in each sprint
  • Dependency chain accounts for all sprints
  • Independent sprints are marked for parallel execution
  • Constraints specify what NOT to do, not just what to do
  • Input and output states are concrete and verifiable
  • Each sprint is independently re-executable from its input_state
  • A style_anchor is defined when the plan spans multiple sprints with shared conventions

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