agentsclimarketplace

Github maintainer

Skill Orkas-AI/Orkas-Awesome-AgentSkills/product/skills/github-maintainer

Curated Orkas agents and skills for education, product development, content creation, data analysis, office automation, and e-commerce workflows.From the repository description

Install
npx -y skills add Orkas-AI/Orkas-Awesome-AgentSkills --skill github-maintainer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 12 stars12 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.2 KB, 591 tokens by cl100k_base, as published. Nobody here has run it

GitHub Maintainer

Use this when the user wants maintainer-grade judgment over a GitHub project queue. The goal is not just to list issues or pull requests; it is to decide what each item means, what evidence exists, what is risky, and what should happen next.

Scope

  • Default to the current repository when the working directory is a GitHub checkout.
  • Broaden to multiple repositories only when the user asks for broad, all, everything, a named owner, or a named organization.
  • Read local project guidance first when available: CONTRIBUTING.md, README.md, maintainer notes, roadmap, project policy files, or equivalent docs.
  • Use live GitHub data through gh when queue state matters.
  • Only comment, close, merge, rerun CI, or push changes after explicit user approval.

Workflow

  1. Identify the repository and confirm access.
  2. Collect open issues and pull requests.
  3. Inspect enough detail to explain each surfaced item.
  4. Classify each item by type, fit, risk, proof, blocker, and next action.
  5. Include trust signals for non-maintainer contributors when recommending action.
  6. If the user asks to act, work one item at a time and verify before moving on.

References

  • Read references/issue-pr-triage.md for queue discovery, item evaluation, trust signals, and output structure.
  • Read references/permissions-and-safety.md before any write action or autonomous project-maintenance work.
  • Use scripts/github-activity.sh when gh and jq are available and contributor trust history is useful.

Default Output

For current-repository triage:

Repo: owner/name
Source: gh commands and local files inspected

Immediate:
- #123 PR: title
  What: one-line plain-language summary.
  Type/Fit/Risk: bug|feature|dependency|docs|internal; good|mixed|poor; low|medium|high because ...
  Trust: factual contributor signal, or unavailable.
  Proof: CI, tests, reproduction, diff review, or missing proof.
  Blocker: none, missing access, failing check, unclear product direction, stale branch, no repro, etc.
  Next: exact maintainer action.

Needs judgment:
- #124 issue: ...

Defer/close:
- #125 issue: ...

Skipped:
- Reason and scope limitation.

For broad scans:

Owners scanned: owner/org list
Source: repo discovery method and selected gh inspections

Top queues:
- owner/repo: issue count, PR count, why it matters, next action

Immediate actions:
- Specific low-risk item with evidence.

Needs judgment:
- Ambiguous or high-risk item with decision needed.

Skipped:
- Archived, forks, missing access, or out-of-scope repositories.

What ships with it: 3 files

10.9 KB alongside SKILL.md, 1 of them executable

scripts/

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.