RFC駆動の複数エージェントDAG実行パターン、品質ゲート、マージキュー、ワークユニットオーケストレーション。
Install
npx skills add https://github.com/affaan-m/ecc --skill ralphinho-rfc-pipelineSKILL.md
Ralphinho RFC Pipeline
humanplane スタイルのRFC分解パターンと複数ユニットオーケストレーションワークフローにインスパイア。
単一エージェントパスでは大きすぎる機能を独立して検証可能なワークユニットに分割する必要がある場合、このスキルを使用します。
Pipeline Stages
- RFC intake
- DAG decomposition
- Unit assignment
- Unit implementation
- Unit validation
- Merge queue and integration
- Final system verification
Unit Spec Template
各ワークユニットに含める:
iddepends_onscopeacceptance_testsrisk_levelrollback_plan
Complexity Tiers
- Tier 1: isolated file edits, deterministic tests
- Tier 2: multi-file behavior changes, moderate integration risk
- Tier 3: schema/auth/perf/security changes
Quality Pipeline per Unit
- research
- implementation plan
- implementation
- tests
- review
- merge-ready report
Merge Queue Rules
- Never merge a unit with unresolved dependency failures.
- Always rebase unit branches on latest integration branch.
- Re-run integration tests after each queued merge.
Recovery
ユニットが stall した場合:
- evict from active queue
- snapshot findings
- regenerate narrowed unit scope
- retry with updated constraints
Outputs
- RFC execution log
- unit scorecards
- dependency graph snapshot
- integration risk summary
Related skills
find-skillsvercel-labs3.6MHelps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.handoffmattpocock883KCompact the current conversation into a handoff document for another agent to pick up.microsoft-foundrymicrosoft618KBuild, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, create agent, update agent, add tool to agent, invoke agent, agent.yaml, agent insights, pull agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, prompt optimizer, optimize agcavemanjuliusbrussee544KUltra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".
