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apm-review-panel Skill

AI Agent SkillPythonOpen source

Use this skill to run a multi-persona expert advisory review on a labelled pull request in microsoft/apm. The panel fans out to five mandatory specialists plus a test-coverage specialist (active on every PR that touches src/) plus three conditional specialists (auth, doc-writer, performance-expert), all running in thei Published by microsoft in apm.

What is apm-review-panel Skill?

Use this skill to run a multi-persona expert advisory review on a labelled pull request in microsoft/apm. The panel fans out to five mandatory specialists plus a test-coverage specialist (active on every PR that touches src/) plus three conditional specialists (auth, doc-writer, performance-expert), all running in thei Published by microsoft in apm. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
87/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Testing
  • Design and media
  • Testing use cases
  • Design and media use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use apm-review-panel Skill

  • Use it for testing.
  • Use it for design and media.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/apm
  • Skill file: packages/apm-review-panel/SKILL.md

What it does

Use this skill to run a multi-persona expert advisory review on a labelled pull request in microsoft/apm. The panel fans out to five mandatory specialists plus a test-coverage specialist (active on every PR that touches src/) plus three conditional specialists (auth, doc-writer, performance-expert), all running in thei

Skill instructions

APM Review Panel - Fan-Out Advisory Review The panel is FAN-OUT + SYNTHESIZER. Each persona runs in its own agent thread (via the task tool) and returns JSON matching assets/panelist-return-schema.json. The orchestrator schema-validates each return, hands all returns to the apm-ceo synthesizer (also a task thread, returns JSON matching assets/ceo-return-schema.json), then renders ONE recommendation comment from assets/recommendation-template.md. This skill is ADVISORY by design. It does not compute a binary verdict, it does not apply verdict labels, and it does not gate merge. The panel surfaces findings; the maintainer and the PR author decide ship. Architecture invariants - Advisory regime, not gate regime. There is no APPROVE / REJECT, no panel-approved / panel-rejected label, no deterministic verdict computation. The CEO returns a shiprecommendation.stance (shipnow / shipwithfollowups / needsdiscussion / needsrework); this is prose for the human reviewer, never auto-applied as a la

Explore related resources

Frequently asked questions

What is apm-review-panel?

apm-review-panel is a open-source AI agent skill with Copy skill directory. Use this skill to run a multi-persona expert advisory review on a labelled pull request in microsoft/apm.

Who is apm-review-panel best for?

apm-review-panel is best for reusing agent instructions, scripts, and references, testing workflows, design and media workflows.

How do I install apm-review-panel?

Install or run apm-review-panel using Copy skill directory. Check apm-review-panel for the latest setup command.

Is apm-review-panel actively maintained?

apm-review-panel may need a closer maintenance check before production use.

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Stars
3,219
Forks
283
Last commit
10 days ago
Repository age
10 months
License
MIT

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