agentsclimarketplace

Copilot

Skill paulnsorensen/skillz-that-grillz/skills/copilot

Agent skill repository that don't fit cleanly into any of my other cheese-related repositories

Install
npx -y skills add paulnsorensen/skillz-that-grillz --skill copilot

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

  • 1 stars1 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.

What its author says it does

Copied from the file, not written here

Use when the user says "copilot review", "review with copilot", "delegate to copilot", "have copilot fix this", "copilot agent task", "set up copilot", "generate copilot instructions", "bootstrap copilot for this repo", or invokes `/copilot`. Three modes: `review` (run a code review on a PR and route fixes to Copilot via inline `@copilot fix this` comments), `delegate` (create a `gh agent-task`, poll until the coding agent opens a PR, optionally hand off to review), and `setup` (one-time bootstrap that writes `.github/copilot-instructions.md` and the per-role `.github/instructions/*.instructions.md` files). `review` and `delegate` are routine; `setup` is a one-time repo bootstrap loaded on demand from `references/setup.md` only when the user explicitly asks. Do NOT use for plain GitHub PR work — that is `/gh`'s job.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

9.8 KB, as published. Nobody here has run it

copilot

Drive the GitHub Copilot CLI and coding agent. Three modes:

ModeInvocationPurpose
review/copilot review <pr>Review a PR, route fixes to Copilot via inline comments.
delegate/copilot delegate <task>Create a gh agent-task, monitor until it produces a PR.
setup/copilot setupOne-time bootstrap of .github/copilot-instructions.md and friends.

Routine work is review and delegate. Read references/setup.md only when the user explicitly says "copilot setup", "generate copilot instructions", or "bootstrap copilot for this repo" — never for routine review/delegate work, since it adds ~12 KB of repo-bootstrap content irrelevant to those modes.

Mode selection

Parse the first positional argument as the mode. If no mode is given, ask the user which mode they want via your harness's interactive-prompt mechanism; if none, ask in plain text and stop for the answer. Never silently default — each mode has very different side effects.

First argMode
review (with optional PR number / URL after)review
delegate followed by a task descriptiondelegate
setupsetup (load references/setup.md)
Bare PR URL (https://github.com/...)review
Anything else (bare integer, ambiguous, missing)ask via your harness's prompt

A bare integer is ambiguous — it could be a PR number, a gh agent-task ID, or noise. Always ask before assuming review mode.

Mode: review

Review a PR and post Copilot-actionable fixes as inline review comments.

Phase 1: fetch PR context

Determine the PR number. If the argument is a PR URL, extract the number. If a bare integer was passed, confirm with the user it is a PR number (it could equally be a gh agent-task ID). If no number was provided, run gh pr list and ask which PR.

PR=<number>
gh pr view "$PR" --json title,body,author,baseRefName,headRefName,url,number,additions,deletions,changedFiles
gh pr diff "$PR"
OWNER_REPO=$(gh repo view --json nameWithOwner --jq '.nameWithOwner')
gh api "repos/${OWNER_REPO}/pulls/${PR}/files" \
  --jq '.[] | {filename, status, additions, deletions, patch}'

Present a brief summary (title, author, base ← head, files changed, additions/deletions) before continuing.

Phase 2: run the review

Invoke whatever code-review skill your harness provides (e.g. age, code-review, or similar). The review must surface findings with confidence scores so phase 3 can triage. If no review skill is available, ask the user to point at one before continuing — do not guess at findings.

Phase 3: triage findings for Copilot

For each finding, assign a disposition:

  • COPILOT_FIX — straightforward fix Copilot can handle (add validation, fix logic, delete dead code, inline a wrapper, remove a docstring that restates the function name).
  • FUTURE_TASK — broader context needed, architectural decision, or a multi-file refactor.

Present a per-file table:

### path/to/file.ts

| # | Score | Line | Category | Issue                       | Disposition |
|---|-------|------|----------|-----------------------------|-------------|
| 1 | 95    | 42   | BUG      | Null check missing          | COPILOT_FIX |
| 2 | 80    | 78   | COUPLING | Domain imports HTTP client  | FUTURE_TASK |

Then show the full comment body for each item.

COPILOT_FIX body:

**[CATEGORY]**: <issue description>

**Why this matters:** <teaching moment — the principle behind the fix>

@copilot fix this

FUTURE_TASK body:

**[CATEGORY]**: <issue description>

**Why this matters:** <teaching moment — the principle behind the suggestion>

_Noted for future work — not a Copilot fix._

Ask the user which to post, which to skip, which to edit, and whether any disposition should change. Never post without explicit approval.

Phase 4: post the review

Build a single review payload and submit it:

cat > /tmp/copilot-review-payload.json <<'JSON'
{
  "body": "Automated review — items marked for @copilot are actionable fixes.",
  "event": "COMMENT",
  "comments": [
    {
      "path": "path/to/file.ts",
      "line": 42,
      "side": "RIGHT",
      "body": "**BUG**: Null check missing...\n\n@copilot fix this"
    }
  ]
}
JSON
gh api --method POST \
  "repos/${OWNER_REPO}/pulls/${PR}/reviews" \
  --input /tmp/copilot-review-payload.json
rm -f /tmp/copilot-review-payload.json

Print a summary: total posted, COPILOT_FIX count, FUTURE_TASK count, PR link.

Review-mode rules

  • Never post without user approval.
  • Frame in business terms — never "this function processes data".
  • One comment per issue — note "same pattern at lines X, Y, Z" for repeats.
  • Respect the codebase — do not flag consistent existing patterns.
  • All review intelligence comes from the review sub-skill; this mode handles PR fetch + Copilot formatting only.

Mode: delegate

Create a gh agent-task, poll until the Copilot coding agent opens a PR, then optionally hand off to review mode.

Copilot model constraints

The coding agent runs on Auto model selection. The CLI has no --model flag. Optimize the task description:

  • Be explicit and concrete. Spell out expected behavior.
  • Scope tightly. One focused task per delegation.
  • Name files and symbols. "In src/auth/login.ts, validateToken should…"
  • State acceptance criteria. "Return 400 for empty email, 422 for malformed."
  • Include constraints. Reference existing patterns (e.g., AppError).
  • Skip the why. The coding agent needs what and where, not motivation.

When confirming the task with the user (phase 1 step 3), check the description against these criteria. Suggest concrete improvements if it is vague or under-specified.

Phase 1: create the agent task

  1. If no task description was passed, ask the user what to delegate.
  2. Capture repo context: gh repo view --json nameWithOwner --jq '.nameWithOwner'.
  3. Confirm with the user before creating: show the task description, target repo, and ask whether a non-default base branch is needed.
  4. Create the task: gh agent-task create "<task description>".
  5. Capture the task reference with gh agent-task list --limit 1. Parse the tab-separated row (description \t #PR \t repo \t status \t timestamp) and extract the PR number and status.
  6. Confirm to the user: task description, PR number, status, and link (https://github.com/<repo>/pull/<number>).

Phase 2: monitor for completion

Poll every 90 seconds, up to a 15-minute timeout.

sleep 90
gh agent-task list --limit 5

Find the row matching the captured PR number. Branch on status:

  • In progress / Working — print a one-line status update with elapsed time. Continue.
  • Ready for review / Completed — break and proceed to phase 3.
  • Failed / Error — show details via gh agent-task view <PR#> and stop.

On 15-minute timeout, tell the user the task is still running, give the PR link, and ask whether to wait another 10 minutes or stop and review later.

Phase 3: review the PR

Print a completion summary (PR number, link, final status, elapsed time) and ask "Run /copilot review on PR #N?". On yes, invoke this skill in review mode with the PR number. On no, print the link and exit.

Delegate-mode rules

  • Always confirm before creating. The user must approve the task and repo.
  • Keep polling updates minimal — one line per check.
  • Fail fast on errors. If gh agent-task create fails, surface the error and stop.
  • Never guess PR numbers — always parse gh agent-task list output.

Mode: setup

setup is a one-time bootstrap that writes .github/copilot-instructions.md and the per-language / per-role files under .github/instructions/.

For pure instruction-file authoring or auditing — adding or refining .github/copilot-instructions.md and .github/instructions/*.instructions.md without driving a review or delegation — use /github-copilot-repo-instructions instead; this setup mode is the bootstrap-from-scratch path.

See references/setup.md — read only when the user explicitly says "copilot setup", "generate copilot instructions", or "bootstrap copilot for this repo". It contains the full walkthrough: project-type detection, tooling detection, overwrite gating, the global instructions template, the code-review instructions template, language-specific stubs, and the coding-agent instructions. Loading it costs ~12 KB of context and is irrelevant to routine review / delegate work.

What this skill never does

  • Commit code, run git push, or open PRs — that is /plate's job.
  • Merge PRs — that is /gh's job.
  • Generate a code review on its own — review mode delegates to whatever review skill the environment provides (e.g. age, code-review).
  • Modify any file outside .github/ during setup.
  • Post review comments without explicit user approval.

Keep looking

Skills are one crate of 328,083. 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.