Speckit.plan

description: Generate implementation plan from a spec handoffs:

• label: Create Tasks agent: speckit.tasks prompt: Break the plan into tasks send: true
• label: Create Checklist agent: speckit.checklist prompt: Create a checklist for the following domain... scripts: sh: scripts/bash/setup-plan.sh --json ps: scripts/powershell/setup-plan.ps1 -Json agent_scripts: sh: scripts/bash/update-agent-context.sh AGENT ps: scripts/powershell/update-agent-context.ps1 -AgentType AGENT

User Input

$ARGUMENTS

You MUST consider the user input before proceeding (if not empty).

Outline

1. Setup: Run {SCRIPT} from repo root and parse JSON for FEATURE_SPEC, IMPL_PLAN, SPECS_DIR, BRANCH. For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'''m Groot' (or double-quote if possible: "I'm Groot").

2. Load context: Read FEATURE_SPEC and /memory/constitution.md. Load IMPL_PLAN template (already copied).

3. Execute plan workflow: Follow the structure in IMPL_PLAN template to:

   • Fill Technical Context (mark unknowns as "NEEDS CLARIFICATION")
   • Fill Constitution Check section from constitution
   • Evaluate gates (ERROR if violations unjustified)
   • Phase 0: Generate research.md (resolve all NEEDS CLARIFICATION)
   • Phase 1: Generate data-model.md, contracts/, quickstart.md
   • Phase 1: Database migrations — When Storage is not N/A, generate db-migration.md (or e.g. mongodb-migration.md): required vs no-op, schema/index/backfill, rollback; link data-model.md. Stateless: omit file; note N/A in plan.md.
   • Phase 1: Update agent context by running the agent script
   • Re-evaluate Constitution Check post-design

4. Stop and report: Command ends after Phase 2 planning. Report branch, IMPL_PLAN path, and generated artifacts.

Phases

Phase 0: Outline & Research

1. Extract unknowns from Technical Context above:

   • For each NEEDS CLARIFICATION → research task
   • For each dependency → best practices task
   • For each integration → patterns task

2. Generate and dispatch research agents:

   For each unknown in Technical Context:
     Task: "Research {unknown} for {feature context}"
   For each technology choice:
     Task: "Find best practices for {tech} in {domain}"
   

3. Consolidate findings in research.md using format:

   • Decision: [what was chosen]
   • Rationale: [why chosen]
   • Alternatives considered: [what else evaluated]

Output: research.md with all NEEDS CLARIFICATION resolved

Phase 1: Design & Contracts

Prerequisites: research.md complete

1. Extract entities from feature spec → data-model.md:

   • Entity name, fields, relationships
   • Validation rules from requirements
   • State transitions if applicable

2. Define interface contracts (if project has external interfaces) → /contracts/:

   • Identify what interfaces the project exposes to users or other systems
   • Document the contract format appropriate for the project type
   • Examples: public APIs for libraries, command schemas for CLI tools, endpoints for web services, grammars for parsers, UI contracts for applications
   • Skip if project is purely internal (build scripts, one-off tools, etc.)

3. Database migrations (when feature uses persisted storage):

   • Produce db-migration.md or project-specific name in the feature spec directory per plan template

4. Agent context update:

   • Run {AGENT_SCRIPT}
   • These scripts detect which AI agent is in use
   • Update the appropriate agent-specific context file
   • Add only new technology from current plan
   • Preserve manual additions between markers

Output: data-model.md, /contracts/*, quickstart.md, db-migration.md when Storage ≠ N/A, agent-specific file

Key rules

• Use absolute paths
• ERROR on gate failures or unresolved clarifications