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Fast iteration with two-stage review (spec compliance, then code quality)
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always. Upgraded with AC-first workflow, pre-flight fast-fail, and structured Judge verdicts (inspired by opslane/verify).
Guide for creating Claude Code skills following Anthropic's official best practices. Use when user wants to create a new skill, build a skill, write SKILL.md, or needs skill creation guidelines. Provides structure, naming conventions, description writing, and quality checklist.
Pattern for progressively refining context retrieval to solve the subagent context problem
Multi-agent coordination SOP derived from Anthropic's internal coordinator architecture. Use when orchestrating parallel workers, dispatching subagents, planning multi-step implementations, or when tasks require research→synthesis→implementation→verification workflow. Triggers: 'coordinate', 'dispatch workers', 'parallel agents', 'multi-agent', 'fan out', 'orchestrate'.
Use to run multiple subagents concurrently on independent tasks
Cross-platform content distribution and growth strategy for DYA app across 10+ platforms (Xiaohongshu, Douyin, TikTok, Instagram Reels, X/Twitter, Reddit, Weibo, Bilibili, WeChat Video). Use when planning social media posts, distributing video content, optimizing for platform algorithms, writing platform-specific copy, scheduling content releases, analyzing engagement data, deciding posting strategy, or maximizing organic reach. Also use when creating video ads that need multi-platform distribution, or when discussing growth/marketing/推广/发帖/推流/算法/涨粉 topics.
| name | subagent-driven-development |
| description | Fast iteration with two-stage review (spec compliance, then code quality) |
digraph when_to_use {
"Have implementation plan?" [shape=diamond];
"Tasks mostly independent?" [shape=diamond];
"Stay in this session?" [shape=diamond];
"subagent-driven-development" [shape=box];
"executing-plans" [shape=box];
"Manual execution or brainstorm first" [shape=box];
"Have implementation plan?" -> "Tasks mostly independent?" [label="yes"];
"Have implementation plan?" -> "Manual execution or brainstorm first" [label="no"];
"Tasks mostly independent?" -> "Stay in this session?" [label="yes"];
"Tasks mostly independent?" -> "Manual execution or brainstorm first" [label="no - tightly coupled"];
"Stay in this session?" -> "subagent-driven-development" [label="yes"];
"Stay in this session?" -> "executing-plans" [label="no - parallel session"];
}
vs. Executing Plans (parallel session):
digraph process {
rankdir=TB;
subgraph cluster_per_task {
label="Per Task";
"Dispatch implementer subagent (./implementer-prompt.md)" [shape=box];
"Implementer subagent asks questions?" [shape=diamond];
"Answer questions, provide context" [shape=box];
"Implementer subagent implements, tests, commits, self-reviews" [shape=box];
"Dispatch spec reviewer subagent (./spec-reviewer-prompt.md)" [shape=box];
"Spec reviewer subagent confirms code matches spec?" [shape=diamond];
"Implementer subagent fixes spec gaps" [shape=box];
"Dispatch code quality reviewer subagent (./code-quality-reviewer-prompt.md)" [shape=box];
"Code quality reviewer subagent approves?" [shape=diamond];
"Implementer subagent fixes quality issues" [shape=box];
"Mark task complete in TodoWrite" [shape=box];
}
"Read plan, extract all tasks with full text, note context, create TodoWrite" [shape=box];
"More tasks remain?" [shape=diamond];
"Dispatch final code reviewer subagent for entire implementation" [shape=box];
"Use superpowers:finishing-a-development-branch" [shape=box style=filled fillcolor=lightgreen];
"Read plan, extract all tasks with full text, note context, create TodoWrite" -> "Dispatch implementer subagent (./implementer-prompt.md)";
"Dispatch implementer subagent (./implementer-prompt.md)" -> "Implementer subagent asks questions?";
"Implementer subagent asks questions?" -> "Answer questions, provide context" [label="yes"];
"Answer questions, provide context" -> "Dispatch implementer subagent (./implementer-prompt.md)";
"Implementer subagent asks questions?" -> "Implementer subagent implements, tests, commits, self-reviews" [label="no"];
"Implementer subagent implements, tests, commits, self-reviews" -> "Dispatch spec reviewer subagent (./spec-reviewer-prompt.md)";
"Dispatch spec reviewer subagent (./spec-reviewer-prompt.md)" -> "Spec reviewer subagent confirms code matches spec?";
"Spec reviewer subagent confirms code matches spec?" -> "Implementer subagent fixes spec gaps" [label="no"];
"Implementer subagent fixes spec gaps" -> "Dispatch spec reviewer subagent (./spec-reviewer-prompt.md)" [label="re-review"];
"Spec reviewer subagent confirms code matches spec?" -> "Dispatch code quality reviewer subagent (./code-quality-reviewer-prompt.md)" [label="yes"];
"Dispatch code quality reviewer subagent (./code-quality-reviewer-prompt.md)" -> "Code quality reviewer subagent approves?";
"Code quality reviewer subagent approves?" -> "Implementer subagent fixes quality issues" [label="no"];
"Implementer subagent fixes quality issues" -> "Dispatch code quality reviewer subagent (./code-quality-reviewer-prompt.md)" [label="re-review"];
"Code quality reviewer subagent approves?" -> "Mark task complete in TodoWrite" [label="yes"];
"Mark task complete in TodoWrite" -> "More tasks remain?";
"More tasks remain?" -> "Dispatch implementer subagent (./implementer-prompt.md)" [label="yes"];
"More tasks remain?" -> "Dispatch final code reviewer subagent for entire implementation" [label="no"];
"Dispatch final code reviewer subagent for entire implementation" -> "Use superpowers:finishing-a-development-branch";
}
./implementer-prompt.md - Dispatch implementer subagent./spec-reviewer-prompt.md - Dispatch spec compliance reviewer subagent./code-quality-reviewer-prompt.md - Dispatch code quality reviewer subagentYou: I'm using Subagent-Driven Development to execute this plan.
[Read plan file once: docs/plans/feature-plan.md]
[Extract all 5 tasks with full text and context]
[Create TodoWrite with all tasks]
Task 1: Hook installation script
[Get Task 1 text and context (already extracted)]
[Dispatch implementation subagent with full task text + context]
Implementer: "Before I begin - should the hook be installed at user or system level?"
You: "User level (~/.config/superpowers/hooks/)"
Implementer: "Got it. Implementing now..."
[Later] Implementer:
- Implemented install-hook command
- Added tests, 5/5 passing
- Self-review: Found I missed --force flag, added it
- Committed
[Dispatch spec compliance reviewer]
Spec reviewer: ✅ Spec compliant - all requirements met, nothing extra
[Get git SHAs, dispatch code quality reviewer]
Code reviewer: Strengths: Good test coverage, clean. Issues: None. Approved.
[Mark Task 1 complete]
vs. Manual execution:
vs. Executing Plans:
Enhanced with patterns from Anthropic's internal coordinator architecture.
This skill maps onto the coordinator's 4-phase workflow:
| Coordinator Phase | SDD Equivalent |
|---|---|
| Research | Implementer reads task, asks questions |
| Synthesis | Controller synthesizes answers into context |
| Implementation | Implementer implements, tests, commits |
| Verification | Spec reviewer + Code quality reviewer |
When providing context to implementer subagents, synthesize — don't dump:
❌ WRONG: "Here's the plan file, go implement task 3"
✅ RIGHT: "Task 3: Add rate limiting middleware.
File: src/middleware/rateLimit.ts (create new)
Pattern: Follow src/middleware/auth.ts structure.
Limit: 100 req/min per IP using sliding window.
Store: Redis via existing src/lib/redis.ts client.
Tests: src/middleware/__tests__/rateLimit.test.ts"
coordinator-mode — Full multi-agent coordination SOPdispatching-parallel-agents — Parallel execution patternsverification-before-completion — Evidence-based verification