Read-only GitHub issue and PR analyzer that spawns parallel background tasks for evidence-backed triage reports.
Works with
Fetches all open issues and PRs, classifies each by type (bug, feature, question, etc.), and spawns one quick background subagent per item for parallel analysis
Every factual claim in reports requires a GitHub permalink to specific code lines or commits; unverifiable statements are marked [UNVERIFIED] and carry no weight
Generates individual markdown reports to /tmp/{datet
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongithub-triageExecute the skills CLI command in your project's root directory to begin installation:
Fetches github-triage from code-yeongyu/oh-my-opencode and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate github-triage. Access via /github-triage in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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1 ISSUE/PR = 1 task_create = 1 quick SUBAGENT (background). NO EXCEPTIONS.
| Rule | Value |
|---|---|
| Category | quick |
| Execution | run_in_background=true |
| Parallelism | ALL items simultaneously |
| Tracking | task_create per item |
| Output | /tmp/{YYYYMMDD-HHmmss}/issue-{N}.md or pr-{N}.md |
<zero_action> Subagents MUST NEVER run ANY command that writes or mutates GitHub state.
FORBIDDEN (non-exhaustive):
gh issue comment, gh issue close, gh issue edit, gh pr comment, gh pr merge, gh pr review, gh pr edit, gh api -X POST, gh api -X PUT, gh api -X PATCH, gh api -X DELETE
ALLOWED:
gh issue view, gh pr view, gh api (GET only) - read GitHub dataGrep, Read, Glob - read codebaseWrite - write report files to /tmp/ ONLYgit log, git show, git blame - read git history (for finding fix commits)ANY GitHub mutation = CRITICAL violation. </zero_action>
A permalink is a URL pointing to a specific line/range in a specific commit, e.g.:
https://github.com/{owner}/{repo}/blob/{commit_sha}/{path}#L{start}-L{end}
git rev-parse HEADhttps://github.com/{REPO}/blob/{SHA}/{filepath}#L{line} (or #L{start}-L{end} for ranges)[UNVERIFIED] and carry zero weight.main/master/dev branches are NOT acceptable - use commit SHAs only.REPO=$(gh repo view --json nameWithOwner -q .nameWithOwner)
REPORT_DIR="/tmp/$(date +%Y%m%d-%H%M%S)"
mkdir -p "$REPORT_DIR"
COMMIT_SHA=$(git rev-parse HEAD)
Pass REPO, REPORT_DIR, and COMMIT_SHA to every subagent.
IMPORTANT: body and comments fields may contain control characters that break jq parsing. Fetch basic metadata first, then fetch full details per-item in subagents.
# Step 1: Fetch basic metadata (without body/comments to avoid JSON parsing issues)
ISSUES_LIST=$(gh issue list --repo $REPO --state open --limit 500 \
--json number,title,labels,author,createdAt)
ISSUE_COUNT=$(echo "$ISSUES_LIST" | jq length)
# Paginate if needed
if [ "$ISSUE_COUNT" -eq 500 ]; then
LAST_DATE=$(echo "$ISSUES_LIST" | jq -r '.[-1].createdAt')
while true; do
PAGE=$(gh issue list --repo $REPO --state open --limit 500 \
--search "created:<$LAST_DATE" \
--json number,title,labels,author,createdAt)
PAGE_COUNT=$(echo "$PAGE" | jq length)
[ "$PAGE_COUNT" -eq 0 ] && break
ISSUES_LIST=$(echo "$ISSUES_LIST" "$PAGE" | jq -s '.[0] + .[1] | unique_by(.number)')
ISSUE_COUNT=$(echo "$ISSUES_LIST" | jq length)
[ "$PAGE_COUNT" -lt 500 ] && break
LAST_DATE=$(echo "$PAGE" | jq -r '.[-1].createdAt')
done
fi
# Same for PRs
PRS_LIST=$(gh pr list --repo $REPO --state open --limit 500 \
--json number,title,labels,author,headRefName,baseRefName,isDraft,createdAt)
PR_COUNT=$(echo "$PRS_LIST" | jq length)
if [ "$PR_COUNT" -eq 500 ]; then
LAST_DATE=$(echo "$PRS_LIST" | jq -r '.[-1].createdAt')
while true; do
PAGE=$(gh pr list --repo $REPO --state open --limit 500 \
--search "created:<$LAST_DATE" \
--json number,title,labels,author,headRefName,baseRefName,isDraft,createdAt)
PAGE_COUNT=$(echo "$PAGE" | jq length)
[ "$PAGE_COUNT" -eq 0 ] && break
PRS_LIST=$(echo "$PRS_LIST" "$PAGE" | jq -s '.[0] + .[1] | unique_by(.number)')
PR_COUNT=$(echo "$PRS_LIST" | jq length)
[ "$PAGE_COUNT" -lt 500 ] && break
LAST_DATE=$(echo "$PAGE" | jq -r '.[-1].createdAt')
done
fi
echo "Total issues: $ISSUE_COUNT, Total PRs: $PR_COUNT"
LARGE REPOSITORY HANDLING: If total items exceeds 50, you MUST process ALL items. Use the pagination code above to fetch every single open issue and PR. DO NOT sample or limit to 50 items - process the entire backlog.
Example: If there are 500 open issues, spawn 500 subagents. If there are 1000 open PRs, spawn 1000 subagents.
Note: Background task system will queue excess tasks automatically.
| Type | Detection |
|---|---|
ISSUE_QUESTION |
[Question], [Discussion], ?, "how to" / "why does" / "is it possible" |
ISSUE_BUG |
[Bug], Bug:, error messages, stack traces, unexpected behavior |
ISSUE_FEATURE |
[Feature], [RFE], [Enhancement], Feature Request, Proposal |
ISSUE_OTHER |
Anything else |
PR_BUGFIX |
Title starts with fix, branch contains fix//bugfix/, label bug |
PR_OTHER |
Everything else |
CRITICAL: Create tasks ONE BY ONE using individual task_create tool calls. NEVER batch or script.
For each item, execute these steps sequentially:
task_create(
subject="Triage: #{number} {title}",
description="GitHub {issue|PR} triage analysis - {type}",
metadata={"type": "{ISSUE_QUESTION|ISSUE_BUG|ISSUE_FEATURE|ISSUE_OTHER|PR_BUGFIX|PR_OTHER}", "number": {number}}
)
task(
category="quick",
run_in_background=true,
load_skills=[],
prompt=SUBAGENT_PROMPT
)
ABSOLUTE RULES for Subagents:
{REPORT_DIR}/{issue|pr}-{number}.md via Write toolFor each item:
1. task_create(subject="Triage: #{number} {title}")
2. task(category="quick", run_in_background=true, load_skills=[], prompt=SUBAGENT_PROMPT)
3. Store mapping: item_number -> { task_id, background_task_id }
CONTEXT:
- Repository: {REPO}
- Report directory: {REPORT_DIR}
- Current commit SHA: {COMMIT_SHA}
PERMALINK FORMAT:
Every factual claim MUST include a permalink: https://github.com/{REPO}/blob/{COMMIT_SHA}/{filepath}#L{start}-L{end}
No permalink = no claim. Mark unverifiable claims as [UNVERIFIED].
To get current SHA if needed: git rev-parse HEAD
ABSOLUTE RULES (violating ANY = critical failure):
- NEVER run gh issue comment, gh issue close, gh issue edit
- NEVER run gh pr comment, gh pr merge, gh pr review, gh pr edit
- NEVER run any gh command with -X POST, -X PUT, -X PATCH, -X DELETE
- NEVER run git checkout, git fetch, git pull, git switch, git worktree
- Your ONLY writable output: {REPORT_DIR}/{issue|pr}-{number}.md via the Write tool
You are analyzing issue #{number} for {REPO}.
ITEM:
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
code-yeongyu/oh-my-opencode
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parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
github-triage is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
github-triage reduced setup friction for our internal harness; good balance of opinion and flexibility.
github-triage fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
github-triage has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in github-triage — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend github-triage for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: github-triage is focused, and the summary matches what you get after install.
Keeps context tight: github-triage is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for github-triage matched our evaluation — installs cleanly and behaves as described in the markdown.
We added github-triage from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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