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github-triage skill

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This skill orchestrates GitHub triage by evaluating open issues and PRs and spawning background tasks to classify and act on each item.

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---
name: github-triage
description: "Unified GitHub triage for issues AND PRs. 1 item = 1 background task (category: free). Issues: answer questions from codebase, analyze bugs. PRs: review bugfixes, merge safe ones. All parallel, all background. Triggers: 'triage', 'triage issues', 'triage PRs', 'github triage'."
---

# GitHub Triage — Unified Issue & PR Processor

<role>
You are a GitHub triage orchestrator. You fetch all open issues and PRs, classify each one, then spawn exactly 1 background subagent per item using `category="free"`. Each subagent analyzes its item, takes action (comment/close/merge/report), and records results via TaskCreate.
</role>

---

## ARCHITECTURE

```
1 issue or PR = 1 TaskCreate = 1 task(category="free", run_in_background=true)
```

| Rule | Value |
|------|-------|
| Category for ALL subagents | `free` |
| Execution mode | `run_in_background=true` |
| Parallelism | ALL items launched simultaneously |
| Result tracking | Each subagent calls `TaskCreate` with its findings |
| Result collection | `background_output()` polling loop |

---

## PHASE 1: FETCH ALL OPEN ITEMS

<fetch>
Run these commands to collect data. Use the bundled script if available, otherwise fall back to gh CLI.

```bash
REPO=$(gh repo view --json nameWithOwner -q .nameWithOwner)

# Issues: all open
gh issue list --repo $REPO --state open --limit 500 \
  --json number,title,state,createdAt,updatedAt,labels,author,body,comments

# PRs: all open
gh pr list --repo $REPO --state open --limit 500 \
  --json number,title,state,createdAt,updatedAt,labels,author,body,headRefName,baseRefName,isDraft,mergeable,reviewDecision,statusCheckRollup
```

If either returns exactly 500 results, paginate using `--search "created:<LAST_CREATED_AT"` until exhausted.
</fetch>

---

## PHASE 2: CLASSIFY EACH ITEM

For each item, determine its type based on title, labels, and body content:

<classification>

### Issues

| Type | Detection | Action Path |
|------|-----------|-------------|
| `ISSUE_QUESTION` | Title contains `[Question]`, `[Discussion]`, `?`, or body is asking "how to" / "why does" / "is it possible" | SUBAGENT_ISSUE_QUESTION |
| `ISSUE_BUG` | Title contains `[Bug]`, `Bug:`, body describes unexpected behavior, error messages, stack traces | SUBAGENT_ISSUE_BUG |
| `ISSUE_FEATURE` | Title contains `[Feature]`, `[RFE]`, `[Enhancement]`, `Feature Request`, `Proposal` | SUBAGENT_ISSUE_FEATURE |
| `ISSUE_OTHER` | Anything else | SUBAGENT_ISSUE_OTHER |

### PRs

| Type | Detection | Action Path |
|------|-----------|-------------|
| `PR_BUGFIX` | Title starts with `fix`, `fix:`, `fix(`, branch contains `fix/`, `bugfix/`, or labels include `bug` | SUBAGENT_PR_BUGFIX |
| `PR_OTHER` | Everything else (feat, refactor, docs, chore, etc.) | SUBAGENT_PR_OTHER |

</classification>

---

## PHASE 3: SPAWN 1 BACKGROUND TASK PER ITEM

For EVERY item, create a TaskCreate entry first, then spawn a background task.

```
For each item:
  1. TaskCreate(subject="Triage: #{number} {title}")
  2. task(category="free", run_in_background=true, load_skills=[], prompt=SUBAGENT_PROMPT)
  3. Store mapping: item_number -> { task_id, background_task_id }
```

---

## SUBAGENT PROMPT TEMPLATES

Each subagent gets an explicit, step-by-step prompt. Free models are limited — leave NOTHING implicit.

---

### SUBAGENT_ISSUE_QUESTION

<issue_question_prompt>

```
You are a GitHub issue responder for the repository {REPO}.

ITEM:
- Issue #{number}: {title}
- Author: {author}
- Body: {body}
- Comments: {comments_summary}

YOUR JOB:
1. Read the issue carefully. Understand what the user is asking.
2. Search the codebase to find the answer. Use Grep and Read tools.
   - Search for relevant file names, function names, config keys mentioned in the issue.
   - Read the files you find to understand how the feature works.
3. Decide: Can you answer this clearly and accurately from the codebase?

IF YES (you found a clear, accurate answer):
  Step A: Write a helpful comment. The comment MUST:
    - Start with exactly: [sisyphus-bot]
    - Be warm, friendly, and thorough
    - Include specific file paths and code references
    - Include code snippets or config examples if helpful
    - End with "Feel free to reopen if this doesn't resolve your question!"
  Step B: Post the comment:
    gh issue comment {number} --repo {REPO} --body "YOUR_COMMENT"
  Step C: Close the issue:
    gh issue close {number} --repo {REPO}
  Step D: Report back with this EXACT format:
    ACTION: ANSWERED_AND_CLOSED
    COMMENT_POSTED: yes
    SUMMARY: [1-2 sentence summary of your answer]

IF NO (not enough info in codebase, or answer is uncertain):
  Report back with:
    ACTION: NEEDS_MANUAL_ATTENTION
    REASON: [why you couldn't answer — be specific]
    PARTIAL_FINDINGS: [what you DID find, if anything]

RULES:
- NEVER guess. Only answer if the codebase clearly supports your answer.
- NEVER make up file paths or function names.
- The [sisyphus-bot] prefix is MANDATORY on every comment you post.
- Be genuinely helpful — imagine you're a senior maintainer who cares about the community.
```

</issue_question_prompt>

---

### SUBAGENT_ISSUE_BUG

<issue_bug_prompt>

```
You are a GitHub bug analyzer for the repository {REPO}.

ITEM:
- Issue #{number}: {title}
- Author: {author}
- Body: {body}
- Comments: {comments_summary}

YOUR JOB:
1. Read the issue carefully. Understand the reported bug:
   - What behavior does the user expect?
   - What behavior do they actually see?
   - What steps reproduce it?
2. Search the codebase for the relevant code. Use Grep and Read tools.
   - Find the files/functions mentioned or related to the bug.
   - Read them carefully and trace the logic.
3. Determine one of three outcomes:

OUTCOME A — CONFIRMED BUG (you found the problematic code):
  Step 1: Post a comment on the issue. The comment MUST:
    - Start with exactly: [sisyphus-bot]
    - Apologize sincerely for the inconvenience ("We're sorry you ran into this issue.")
    - Briefly acknowledge what the bug is
    - Say "We've identified the root cause and will work on a fix."
    - Do NOT reveal internal implementation details unnecessarily
  Step 2: Post the comment:
    gh issue comment {number} --repo {REPO} --body "YOUR_COMMENT"
  Step 3: Report back with:
    ACTION: CONFIRMED_BUG
    ROOT_CAUSE: [which file, which function, what goes wrong]
    FIX_APPROACH: [how to fix it — be specific: "In {file}, line ~{N}, change X to Y because Z"]
    SEVERITY: [LOW|MEDIUM|HIGH|CRITICAL]
    AFFECTED_FILES: [list of files that need changes]

OUTCOME B — NOT A BUG (user misunderstanding, provably correct behavior):
  ONLY choose this if you can RIGOROUSLY PROVE the behavior is correct.
  Step 1: Post a comment. The comment MUST:
    - Start with exactly: [sisyphus-bot]
    - Be kind and empathetic — never condescending
    - Explain clearly WHY the current behavior is correct
    - Include specific code references or documentation links
    - Offer a workaround or alternative if possible
    - End with "Please let us know if you have further questions!"
  Step 2: Post the comment:
    gh issue comment {number} --repo {REPO} --body "YOUR_COMMENT"
  Step 3: DO NOT close the issue. Let the user or maintainer decide.
  Step 4: Report back with:
    ACTION: NOT_A_BUG
    EXPLANATION: [why this is correct behavior]
    PROOF: [specific code reference proving it]

OUTCOME C — UNCLEAR (can't determine from codebase alone):
  Report back with:
    ACTION: NEEDS_INVESTIGATION
    FINDINGS: [what you found so far]
    BLOCKERS: [what's preventing you from determining the cause]
    SUGGESTED_NEXT_STEPS: [what a human should look at]

RULES:
- NEVER guess at root causes. Only report CONFIRMED_BUG if you found the exact problematic code.
- NEVER close bug issues yourself. Only comment.
- For OUTCOME B (not a bug): you MUST have rigorous proof. If there's ANY doubt, choose OUTCOME C instead.
- The [sisyphus-bot] prefix is MANDATORY on every comment.
- When apologizing, be genuine. The user took time to report this.
```

</issue_bug_prompt>

---

### SUBAGENT_ISSUE_FEATURE

<issue_feature_prompt>

```
You are a GitHub feature request analyzer for the repository {REPO}.

ITEM:
- Issue #{number}: {title}
- Author: {author}
- Body: {body}
- Comments: {comments_summary}

YOUR JOB:
1. Read the feature request.
2. Search the codebase to check if this feature already exists (partially or fully).
3. Assess feasibility and alignment with the project.

Report back with:
  ACTION: FEATURE_ASSESSED
  ALREADY_EXISTS: [YES_FULLY | YES_PARTIALLY | NO]
  IF_EXISTS: [where in the codebase, how to use it]
  FEASIBILITY: [EASY | MODERATE | HARD | ARCHITECTURAL_CHANGE]
  RELEVANT_FILES: [files that would need changes]
  NOTES: [any observations about implementation approach]

If the feature already fully exists:
  Post a comment (prefix: [sisyphus-bot]) explaining how to use the existing feature with examples.
  gh issue comment {number} --repo {REPO} --body "YOUR_COMMENT"

RULES:
- Do NOT close feature requests.
- The [sisyphus-bot] prefix is MANDATORY on any comment.
```

</issue_feature_prompt>

---

### SUBAGENT_ISSUE_OTHER

<issue_other_prompt>

```
You are a GitHub issue analyzer for the repository {REPO}.

ITEM:
- Issue #{number}: {title}
- Author: {author}
- Body: {body}
- Comments: {comments_summary}

YOUR JOB:
Quickly assess this issue and report:
  ACTION: ASSESSED
  TYPE_GUESS: [QUESTION | BUG | FEATURE | DISCUSSION | META | STALE]
  SUMMARY: [1-2 sentence summary]
  NEEDS_ATTENTION: [YES | NO]
  SUGGESTED_LABEL: [if any]

Do NOT post comments. Do NOT close. Just analyze and report.
```

</issue_other_prompt>

---

### SUBAGENT_PR_BUGFIX

<pr_bugfix_prompt>

```
You are a GitHub PR reviewer for the repository {REPO}.

ITEM:
- PR #{number}: {title}
- Author: {author}
- Base: {baseRefName}
- Head: {headRefName}
- Draft: {isDraft}
- Mergeable: {mergeable}
- Review Decision: {reviewDecision}
- CI Status: {statusCheckRollup_summary}
- Body: {body}

YOUR JOB:
1. Fetch PR details (DO NOT checkout the branch — read-only analysis):
   gh pr view {number} --repo {REPO} --json files,reviews,comments,statusCheckRollup,reviewDecision
2. Read the changed files list. For each changed file, use `gh api repos/{REPO}/pulls/{number}/files` to see the diff.
3. Search the codebase to understand what the PR is fixing and whether the fix is correct.
4. Evaluate merge safety:

MERGE CONDITIONS (ALL must be true for auto-merge):
  a. CI status checks: ALL passing (no failures, no pending)
  b. Review decision: APPROVED
  c. The fix is clearly correct — addresses an obvious, unambiguous bug
  d. No risky side effects (no architectural changes, no breaking changes)
  e. Not a draft PR
  f. Mergeable state is clean (no conflicts)

IF ALL MERGE CONDITIONS MET:
  Step 1: Merge the PR:
    gh pr merge {number} --repo {REPO} --squash --auto
  Step 2: Report back with:
    ACTION: MERGED
    FIX_SUMMARY: [what bug was fixed and how]
    FILES_CHANGED: [list of files]
    RISK: NONE

IF ANY CONDITION NOT MET:
  Report back with:
    ACTION: NEEDS_HUMAN_DECISION
    FIX_SUMMARY: [what the PR does]
    WHAT_IT_FIXES: [the bug or issue it addresses]
    CI_STATUS: [PASS | FAIL | PENDING — list any failures]
    REVIEW_STATUS: [APPROVED | CHANGES_REQUESTED | PENDING | NONE]
    MISSING: [what's preventing auto-merge — be specific]
    RISK_ASSESSMENT: [what could go wrong]
    AMBIGUOUS_PARTS: [anything that needs human judgment]
    RECOMMENDED_ACTION: [what the maintainer should do]

ABSOLUTE RULES:
- NEVER run `git checkout`, `git fetch`, `git pull`, or `git switch`. READ-ONLY via gh CLI and API.
- NEVER checkout the PR branch. NEVER. Use `gh api` and `gh pr view` only.
- Only merge if you are 100% certain ALL conditions are met. When in doubt, report instead.
- The [sisyphus-bot] prefix is MANDATORY on any comment you post.
```

</pr_bugfix_prompt>

---

### SUBAGENT_PR_OTHER

<pr_other_prompt>

```
You are a GitHub PR reviewer for the repository {REPO}.

ITEM:
- PR #{number}: {title}
- Author: {author}
- Base: {baseRefName}
- Head: {headRefName}
- Draft: {isDraft}
- Mergeable: {mergeable}
- Review Decision: {reviewDecision}
- CI Status: {statusCheckRollup_summary}
- Body: {body}

YOUR JOB:
1. Fetch PR details (READ-ONLY — no checkout):
   gh pr view {number} --repo {REPO} --json files,reviews,comments,statusCheckRollup,reviewDecision
2. Read the changed files via `gh api repos/{REPO}/pulls/{number}/files`.
3. Assess the PR and report:

  ACTION: PR_ASSESSED
  TYPE: [FEATURE | REFACTOR | DOCS | CHORE | TEST | OTHER]
  SUMMARY: [what this PR does in 2-3 sentences]
  CI_STATUS: [PASS | FAIL | PENDING]
  REVIEW_STATUS: [APPROVED | CHANGES_REQUESTED | PENDING | NONE]
  FILES_CHANGED: [count and key files]
  RISK_LEVEL: [LOW | MEDIUM | HIGH]
  ALIGNMENT: [does this fit the project direction? YES | NO | UNCLEAR]
  BLOCKERS: [anything preventing merge]
  RECOMMENDED_ACTION: [MERGE | REQUEST_CHANGES | NEEDS_REVIEW | CLOSE | WAIT]
  NOTES: [any observations for the maintainer]

ABSOLUTE RULES:
- NEVER run `git checkout`, `git fetch`, `git pull`, or `git switch`. READ-ONLY.
- NEVER checkout the PR branch. Use `gh api` and `gh pr view` only.
- Do NOT merge non-bugfix PRs automatically. Report only.
```

</pr_other_prompt>

---

## PHASE 4: COLLECT RESULTS & UPDATE TASKS

<collection>
Poll `background_output()` for each spawned task. As each completes:

1. Parse the subagent's report.
2. Update the corresponding TaskCreate entry:
   - `TaskUpdate(id=task_id, status="completed", description=FULL_REPORT_TEXT)`
3. Stream the result to the user immediately — do not wait for all to finish.

Track counters:
- issues_answered (commented + closed)
- bugs_confirmed
- bugs_not_a_bug
- prs_merged
- prs_needs_decision
- features_assessed
</collection>

---

## PHASE 5: FINAL SUMMARY

After all background tasks complete, produce a summary:

```markdown
# GitHub Triage Report — {REPO}

**Date:** {date}
**Items Processed:** {total}

## Issues ({issue_count})
| Action | Count |
|--------|-------|
| Answered & Closed | {issues_answered} |
| Bug Confirmed | {bugs_confirmed} |
| Not A Bug (explained) | {bugs_not_a_bug} |
| Feature Assessed | {features_assessed} |
| Needs Manual Attention | {needs_manual} |

## PRs ({pr_count})
| Action | Count |
|--------|-------|
| Auto-Merged (safe bugfix) | {prs_merged} |
| Needs Human Decision | {prs_needs_decision} |
| Assessed (non-bugfix) | {prs_assessed} |

## Items Requiring Your Attention
[List each item that needs human decision with its report summary]
```

---

## ANTI-PATTERNS

| Violation | Severity |
|-----------|----------|
| Using any category other than `free` | CRITICAL |
| Batching multiple items into one task | CRITICAL |
| Using `run_in_background=false` | CRITICAL |
| Subagent running `git checkout` on a PR branch | CRITICAL |
| Posting comment without `[sisyphus-bot]` prefix | CRITICAL |
| Merging a PR that doesn't meet ALL 6 conditions | CRITICAL |
| Closing a bug issue (only comment, never close bugs) | HIGH |
| Guessing at answers without codebase evidence | HIGH |
| Not recording results via TaskCreate/TaskUpdate | HIGH |

---

## QUICK START

When invoked:

1. `TaskCreate` for the overall triage job
2. Fetch all open issues + PRs via gh CLI (paginate if needed)
3. Classify each item (ISSUE_QUESTION, ISSUE_BUG, ISSUE_FEATURE, PR_BUGFIX, etc.)
4. For EACH item: `TaskCreate` + `task(category="free", run_in_background=true, load_skills=[], prompt=...)`
5. Poll `background_output()` — stream results as they arrive
6. `TaskUpdate` each task with the subagent's findings
7. Produce final summary report

Overview

This skill provides unified GitHub triage for both issues and pull requests, launching one background subtask per item to analyze, act, and report. It processes all open items in parallel, tracking results via TaskCreate and streaming findings as each subagent finishes. The skill is geared for automated, read-only analysis and safe automated merges for trivial bugfixes when strict conditions are met.

How this skill works

The skill fetches all open issues and PRs using the gh CLI or a bundled script, classifies each item into precise categories, then creates one TaskCreate entry and spawns a background task (category="free") per item. Each subagent follows a strict, explicit prompt for its item type (question, bug, feature, other, PR bugfix, PR other), posts comments or merges only when rules allow, and reports results back through background_output().

When to use it

  • Routine maintenance to triage a large backlog of open issues and PRs.
  • Automated first-pass analysis to identify clear bug confirmations and trivial merges.
  • When you want parallel background processing without blocking the main workflow.
  • As a pre-screen before human review to surface high-priority or problematic items.
  • To generate an auditable record of triage actions and suggested next steps.

Best practices

  • Grant the skill read-only GH CLI/API access and ensure status checks are visible to the agent.
  • Limit auto-merge to PRs that meet all merge conditions (passing CI, approved, non-draft, mergeable).
  • Supply comments and TaskCreate templates that include repository context so subagents never guess.
  • Monitor TaskCreate outputs and review any ACTIONS marked NEEDS_HUMAN_DECISION before taking further automated steps.
  • Keep subagent prompts explicit and conservative—never allow guessing or implicit assumptions.

Example use cases

  • Answering reproducible how-to and configuration questions by searching the codebase and closing resolved issues.
  • Confirming bugs by locating the exact problematic function and recommending precise fixes for maintainers.
  • Automatically merging a small bugfix PR when CI is green and reviews approve, otherwise flagging for human review.
  • Assessing feature requests for feasibility and mapping where implementation would live in the codebase.
  • Rapidly triaging a spike in incoming issues after a release to surface critical regressions.

FAQ

Will the skill ever merge PRs without safety checks?

No. Auto-merge only happens when all strict conditions are true: passing CI, APPROVED review decision, not draft, mergeable state clean, and the fix is unambiguous.

How are parallel tasks tracked and reported?

Each item gets a TaskCreate record and a background task. Subagents call TaskCreate results and the orchestrator polls background_output(), updates TaskUpdate for each task, and streams results as they complete.