Files
librenotes/.wave/prompts/speckit-flow/plan.md
Michael Czechowski 22370827ee Add GitHub issue pipelines and prompts using gh CLI
gh-issue-impl, gh-issue-research, gh-issue-rewrite, gh-issue-update
pipelines with corresponding prompts for fetch-assess, plan,
implement, and create-pr steps.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 17:02:42 +01:00

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1.5 KiB
Markdown

You are creating an implementation plan for a feature specification.
Feature context: {{ input }}
## Working Directory
You are running in an **isolated git worktree** shared with previous pipeline steps.
Your working directory IS the project root. The feature branch was created by a
previous step and is already checked out.
## Instructions
Follow the `/speckit.plan` workflow:
1. Find the feature directory and spec file path from the spec info artifact
2. Run `.specify/scripts/bash/setup-plan.sh --json` to get FEATURE_SPEC, IMPL_PLAN,
SPECS_DIR, and BRANCH paths
3. Load the feature spec and `.specify/memory/constitution.md`
4. Follow the plan template phases:
**Phase 0 — Outline & Research**:
- Extract unknowns from the spec (NEEDS CLARIFICATION markers, tech decisions)
- Research best practices for each technology choice
- Consolidate findings into `research.md` with Decision/Rationale/Alternatives
**Phase 1 — Design & Contracts**:
- Extract entities from spec → write `data-model.md`
- Generate API contracts from functional requirements → `/contracts/`
- Run `.specify/scripts/bash/update-agent-context.sh claude`
5. Evaluate constitution compliance at each phase gate
6. Stop after Phase 1 — report branch, plan path, and generated artifacts
## CONSTRAINTS
- Do NOT spawn Task subagents — work directly in the main context
- Do NOT use WebSearch — all information is in the spec and codebase
## Output
Produce a JSON status report matching the injected output schema.