Break an RFC, a written design proposal, into work units with dependencies and acceptance tests for multiple agents. Organize research, implementation, testing, review, queued merges, and final system verification for features too large for one pass.
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.
This skill organizes a multi-agent workflow by splitting a large feature RFC, a written design proposal, into independently verifiable work units. Each unit receives an ID, dependencies, scope, acceptance tests, risks, and a rollback plan. Work proceeds through research, planning, implementation, testing, and review. Changes are then merged in sequence before the whole system is verified.
Use it for features too large for one agent pass, or when several changes must be combined according to their dependencies. It groups change complexity into three tiers and produces an execution log, unit scorecards, a dependency diagram, and an integration risk summary. If work stalls, it preserves the findings and organizes a retry with a narrower scope.
Do not merge work with unresolved dependency failures. Each work branch must be rebased onto the latest integration branch, and integration tests must run after every merge. Final system verification is required in addition to unit-level tests.
This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.
AI rated this skill on four points using only the contents of its SKILL.md. Stars and popularity are not taken into account.
The total counts each point as A = 25, B = 15, C = 5. Rated by AI (OpenAI Codex) as of Oct 19, 2026. Treat it as a guide and read the original before installing.
Review the instructions the agent will receive before you install.
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.
Each work unit should include:
iddepends_onscopeacceptance_testsrisk_levelrollback_planIf a unit stalls:
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