.agents/skills/issue-triage/SKILL.md
Issue pipeline: Step 1 of 3 (Triage). See documentation/dev/issue-pipeline.md.
Analyze a SkiaSharp GitHub issue and produce a structured, schema-validated triage JSON.
These 3 reads are REQUIRED. Do not proceed to Phase 1 until all three are loaded.
Quick flow:
- Setup cache worktree
- Load issue data (cache first, GitHub API fallback)
- Read references: schema-cheatsheet, labels, triage-examples, anti-patterns
- Create brief plan (5-10 lines)
- Investigate code — READ-ONLY, never edit source files
- Generate JSON
- Validate with script
- Persist to data-cache
Local cache first. Issue data is pre-cached on the docs-data-cache branch (synced hourly). The cache contains full issue JSON with comments, labels, and timeline — use it as the primary source. You can grep across all cached items for duplicate detection and cross-referencing.
GitHub CLI fallback. If the issue is not in the cache (too new, or cache stale), use gh CLI or the GitHub MCP tools (issue_read, get_file_contents) to fetch it directly. Local cache is faster and searchable; API is the fallback, not forbidden.
Phase 1 (Setup) → Phase 2 (Preprocess + Investigate) → Phase 3 (Analyze) → Phase 3.5 (Workaround Search) → Phase 3.7 (Validate Code) → Phase 4 (Validate) → Phase 5 (Persist)
Run once per session:
pwsh --version # Requires 7.5+
# Cache worktree
[ -d ".data-cache" ] || git worktree add .data-cache docs-data-cache
git -C .data-cache pull --rebase origin docs-data-cache
CACHE=".data-cache/repos/mono-SkiaSharp"
# Docs worktree (optional — for question/docs research)
if git show-ref --verify --quiet refs/heads/docs 2>/dev/null; then
[ -d ".docs" ] || git worktree add .docs docs
fi
cat $CACHE/github/items/{number}.json
If not in cache, fetch via GitHub CLI or MCP tools:
gh issue view {number} --repo mono/SkiaSharp --json title,body,labels,comments,state,createdAt,closedAt,author
If using cached JSON:
mkdir -p /tmp/skiasharp/triage/{timestamp}
pwsh .claude/skills/issue-triage/scripts/issue-to-markdown.ps1 $CACHE/github/items/{number}.json > /tmp/skiasharp/triage/{timestamp}/{number}.md
If fetched via API, work directly from the gh output (skip the script).
Scope: READ code, don't WRITE code. Grep, read files, trace call chains. Never create files, compile, or execute.
Before ANY classification, search the source code for the types, methods, APIs, or behaviors mentioned in the issue. Read the relevant files. Record every finding in analysis.codeInvestigation as {file, finding, relevance} (with optional lines).
Do NOT classify until you have examined source code. For bugs, include at least one codeInvestigation entry. Close-* actions should include at least two.
Steps:
# Data-cache lookup (fast, offline)
ls $CACHE/github/items/ | head -5 # check cache structure
# Fall back to GitHub CLI
gh pr list --search '{keywords from issue}' --state all --repo mono/SkiaSharp --limit 10 --json number,title,state,mergedAt
evidence.reproEvidence.repoLinks — especially closed/unmerged PRs, as they reveal prior attempts and maintainer decisions.| Signal in issue | Source to consult |
|---|---|
| NativeAssets, DllNotFoundException, container, WASM | documentation/dev/packages.md |
| Platform quirks, common traps | references/skia-patterns.md |
| Specific SkiaSharp types or methods | docs/SkiaSharpAPI/*.xml |
| How-to about drawing, paths, bitmaps | .docs/docs/docs/ |
| Non-SkiaSharp tech (MAUI, Blazor, WPF) | mslearn/microsoft_docs_search MCP tool |
Pre-flight — confirm before analyzing:
- Cache worktree is set up and pulled
- Issue data loaded (cache JSON or GitHub API)
- Read references/schema-cheatsheet.md for required fields and enums
- Read references/labels.md for valid label values
- Read references/triage-examples.md for calibration
- Read references/anti-patterns.md — at least the critical rules
- Created a brief plan (5-10 lines: what to investigate, what type you suspect)
Reminder: Triage is READ-ONLY. Do NOT edit any source files (.cs, .cpp, .csproj, .json).
Read references/labels.md for valid label values and cardinality, references/triage-examples.md for calibration, and references/schema-cheatsheet.md for required fields.
Write brief internal analysis (3–5 sentences), classify the type, then read references/research-by-type.md for type-specific research. Conduct the research, then generate the JSON. Write to /tmp/skiasharp/triage/{timestamp}/{number}.json where {timestamp} is the current UTC time in yyyyMMdd-HHmmss format. Create the directory first with mkdir -p. Use this exact literal path structure, do NOT substitute $TMPDIR or any other variable.
⚠️ Schema Compliance:
- Read references/schema-cheatsheet.md — This is the authoritative source for structure, fields, and enums.
- Review references/labels.md — Use only valid label values.
- Follow these critical constraints:
meta.schemaVersionmust be"1.0"- Optional fields: OMIT entirely if not applicable. Do NOT set to
null.- String Arrays:
platforms,backends,tenetsare simple string arrays (no confidence wrapper).- Investigation:
analysis.codeInvestigationis MANDATORY. At least one entry for bugs, two for close-* actions.- Rationale:
analysis.rationaleis a single summary string (not per-field).- Validation: No extra properties allowed (
additionalProperties: false).
| Group | Content |
|---|---|
summary | One-sentence description of the issue (top-level string, required). |
meta | Version "1.0", issue number, repo, analyzedAt (ISO 8601). |
classification | type and area (required objects with confidence). platforms, backends (optional string arrays). |
evidence | bugSignals (for bugs), reproEvidence (all attachments/links), regression (if claimed), fixStatus (if fixed). |
analysis | summary (required), codeInvestigation (findings from Phase 2), keySignals (quotes), rationale (decision summary), resolution (proposals). |
output | actionability (suggested action + suggestedReproPlatform) and actions (automatable tasks). |
Refer to the cheatsheet for the exact field structure and enum values.
For bugs, questions, and feature requests: actively search for workarounds the reporter can use now. Follow references/workaround-search.md — 9 sources in priority order (cached triages → closed issues → known patterns → source code → docs → web).
category to "workaround" / "fix" / "alternative" / "investigation"codeSnippet on any proposal with copy-paste-ready codevalidated to "untested" initially (upgraded in Phase 3.7)Skip this phase for duplicates and abandoned issues (omit analysis.resolution).
If any proposal description, codeSnippet, or add-comment comment contains fenced code blocks or SK* API calls: validate with 3 parallel agents per references/workaround-validation.md.
Gate: No code blocks → skip (set validated: "untested"). ~60% of triages skip this step.
Agents (parallel explore type, Haiku model):
Synthesis: All pass → validated: "yes". Any warn → add caveats to comment, reduce confidence. Any fail → fix or strip code, set validated: "no".
🛑 PHASE GATE: You CANNOT proceed to Phase 5 without passing validation. Skipping validation = INVALID triage. The task is incomplete.
# Try pwsh first, fall back to python3
pwsh .claude/skills/issue-triage/scripts/validate-triage.ps1 /tmp/skiasharp/triage/{timestamp}/{number}.json \
|| python3 .claude/skills/issue-triage/scripts/validate-triage.py /tmp/skiasharp/triage/{timestamp}/{number}.json
⚠️ NEVER hand-roll your own validation. NEVER assume it passes. RUN THE SCRIPT.
🛑 PHASE GATE: Phase 4 validator MUST have printed ✅ before you reach this step. If you have not run the validation script, GO BACK and run it now.
Copy the validated JSON to output/ai/ for collection.
pwsh .claude/skills/issue-triage/scripts/persist-triage.ps1 /tmp/skiasharp/triage/{timestamp}/{number}.json
This copies the JSON to output/ai/ mirroring the data-cache structure.
✅ Triage: ai-triage/{number}.json
Type: type/bug (0.98) Area: area/SkiaSharp
Severity: critical Action: needs-investigation
Actions:
labels-1 update-labels [low] Add type/bug, area/SkiaSharp
comment-1 add-comment [high] ⚠️ requires human edit
link-1 link-related [low] Cross-ref #1234
Pipeline hint:
classification.type.value == "type/bug" and output.actionability.suggestedAction == "needs-investigation": next step is issue-repro (ai-repro/{number}.json).classification.type.value is type/enhancement or type/feature-request and suggestedAction == "needs-investigation": next step is also issue-repro, but repro will use confirmed/not-confirmed instead of reproduced/not-reproduced.output.actionability.suggestedReproPlatform tells CI which runner to use for reproduction:
macos — for os/iOS, os/macOS, os/tvOS, os/watchOS issueswindows — for os/Windows-Classic, os/Windows-WinUI, os/Windows-Universal-UWP, os/Windows-Nano-Server issueslinux — for everything else (os/Linux, os/WASM, os/Android, os/Tizen, or no platform specified)linux even if the reporter tests on other platforms.If add-comment exists, show comment in a copy-paste block. ⚠️ NEVER post via GitHub API.
See references/anti-patterns.md — read this file on first triage in session.
#0 (CRITICAL): Triage is READ-ONLY. If you edit a source file during triage, you have FAILED. See the anti-patterns reference for the full list.
#1 (CRITICAL): NEVER use store_memory during triage. Triage produces JSON artifacts, not memories. Storing unverified facts pollutes all future sessions.
#2 (CRITICAL): NEVER skip the validation script. You MUST run validate-triage.ps1 (or .py fallback) and see ✅ before persisting. Mentally checking fields is not validation. If the script isn't run, the triage is invalid.
scripts/issue-to-markdown.ps1 <file.json> — Preprocess cached issue → annotated markdownscripts/validate-triage.ps1 <triage.json> — Validate against schema + rationale coverage + action integrity