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Break a feature or epic into ordered, implementable user stories for the aiagent project. Uses the planner agent to analyze the feature and produce a sprint plan with story dependencies.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Full Agent Development Life Cycle pipeline for the aiagent project. Runs story refinement → design → implementation planning (with human approval checkpoint) → implementation → testing → security → database → devops. Each coding phase uses a doer + antagonistic reviewer loop requiring score >= 8/10.
Create a detailed user story for the aiagent project with acceptance criteria and technical breakdown. Uses the story-refiner agent to explore the codebase and produce a structured story artifact.
Database schema + review loop for the aiagent project. The dba agent designs schema changes ensuring JSON/MongoDB storage duality, then the dba-reviewer scores the changes against the 6 pillars. Loops until score >= 8/10 or 3 iterations maximum.
Deployment readiness check for the aiagent project. Verifies the release pipeline, Docker build, and all 7 binary targets are ready before tagging a release. Uses the devops agent.
Architecture design + review loop for the aiagent project. The architect designs a solution following DDD patterns, then the architect-reviewer scores it against the 6 pillars. Loops until score >= 8/10 or 3 iterations maximum.
DevOps pipeline + review loop for the aiagent project. The devops agent manages CI/CD and Docker changes, then the devops-reviewer scores against the 6 pillars. Loops until score >= 8/10 or 3 iterations maximum.
| name | plan-sprint |
| description | Break a feature or epic into ordered, implementable user stories for the aiagent project. Uses the planner agent to analyze the feature and produce a sprint plan with story dependencies. |
| user-invocable | true |
| argument-hint | feature: real-time collaboration on chats |
| context | fork |
Plan the following feature into stories:
Use the Agent tool with subagent_type: "planner" to:
The planner will produce a sprint plan:
## Sprint Plan: [Feature Name]
### Stories (ordered by dependency)
**Story 1: [Title]** — Size: S/M/L
- Goal: [one sentence]
- Acceptance Criteria: [2–5 bullet points]
- Depends on: [none or Story N]
- Layers touched: [entities / interfaces / services / repositories / TUI / Web UI]
**Story 2: ...**
/refine-story on each story before starting implementation