Plan AQE Work

SkillDev tools

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.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Plan AQE Work skill

What this skill tells your AI

The instructions your AI receives, as published by proffesor-for-testing/agentic-qe in .agents/skills/aqe-plan-work/SKILL.md and read by ahel’s review.

  1. Read AGENTS.md, the objective, relevant research, affected implementation, tests, configuration, and public boundaries.
  2. Define observable outcomes, non-goals, constraints, assumptions, and decisions that require human approval.
  3. Decompose work into independently verifiable deliverables. Map dependencies, consumers, migrations, compatibility boundaries, and rollback points.
  4. Select the smallest useful specialist fleet with references/planning-framework.md. Give every selected specialty a concrete output; do not summon the whole fleet.
  5. 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.
  6. 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.
  7. 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.
  8. 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.

Signals

GitHub stars
475
Forks
91
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
aqe-plan-work
Source
github.com/proffesor-for-testing/agentic-qe