Agent skill · software engineering · affaan-m

ralphinho-rfc-pipeline

Split an RFC into a multi-agent execution DAG — decompose into work units with dependencies and acceptance tests, run research, plan, implement, test, and review per unit, then merge through a queue with re-based branches and final system verification. Use when a feature is too large for a single agent pass, orchestrating RFC-driven multi-agent execution, or managing merge queues across agent-built units.

Why this skill is useful

Adds a comprehensive multi-agent orchestration workflow with specific stages, templates, and quality gates that enhance the AI's capability to manage complex feature implementations.

What it needs

About 1k tokens when loaded. Last updated 2026-08-06. 238,342 stars on the source repository.

What this skill does

Ralphinho RFC Pipeline Inspired by humanplane style RFC decomposition patterns and multi-unit orchestration workflows. Use this skill when a feature is too large for a single agent pass and must be split into independently verifiable work units. Pipeline Stages 1. RFC intake 2. DAG decomposition 3. Unit assignment 4. Unit implementation 5. Unit validation 6. Merge queue and integration 7. Final system verification Unit Spec Template Each work unit should include: id dependson scope acceptancetests risklevel rollbackplan 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 1. research 2. implementation plan 3. implementation 4. tests 5. review 6. 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 If a unit stalls: 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

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills affaan-m/ralphinho-rfc-pipeline--bdca19

View the source on GitHub

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