Build dependency-aware execution plans for complex Agentic QE, Ruflo, integration, migration, or multi-stream engineering programs.
Use when Codex must turn research or requirements into phased work, select a small AQE fleet, map critical paths and parallel streams, define acceptance gates, or sequence risky changes.
Use aqe-plan-quality instead when the primary output is only a test or quality plan.
Similar popular skills
Related neighbors and high-traction skills in the same topics — useful to compare before installing.
Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
Claude CodeNot declared
CursorNot declared
CodexNot declared
GitHub CopilotNot declared
WindsurfNot declared
Gemini CLINot declared
ClineNot declared
OpenCodeNot declared
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skill mdSKILL.md2,058 B
docsSUMMARY.md424 B
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SKILL.md
Plan AQE Work
Read AGENTS.md, the objective, relevant research, affected implementation,
tests, configuration, and public boundaries.
Define observable outcomes, non-goals, constraints, assumptions, and decisions
that require human approval.
Decompose work into independently verifiable deliverables. Map dependencies,
consumers, migrations, compatibility boundaries, and rollback points.
Select the smallest useful specialist fleet with
[references/planning-framework.md](references/planning-framework.md). Give every selected specialty a concrete output; do not summon the whole fleet.
Arrange phases so contracts, safety controls, and durable tests precede or
accompany implementation. Check CLI/MCP and Claude/Codex parity when shared capabilities cross those surfaces.
Identify work that can run in parallel and a clear critical path. Do not use
unsupported precision for time estimates; size work by risk and dependency.
Attach acceptance criteria and the narrowest verification command to each
deliverable. Include security, resilience, performance, accessibility, or data-integrity gates only when triggered by the actual scope.
End with prioritized milestones, risks and mitigations, open decisions, and
a recommended first vertical slice.
Use Ruflo for persistent memory, learned routing, hooks, or multi-agent coordination only when its operational benefit exceeds its setup overhead. Treat Claude agent definitions as domain references; translate their workflows into available Codex actions rather than copying Claude-only tool syntax.