القائمة
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.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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