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triage

Triage requirements, specs, or tickets. Detect input (pasted text, markdown path, tracker ticket id/URL, or empty prompt). Explore codebase + docs, score completeness, ask clarifying questions, write a markdown report. Trigger when user says "triage", "review this spec", "is this requirement complete", or provides a ticket/spec to assess.

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See how to install

Files included (2)

  • SKILL.md6.9 KB
  • references/sources.md8.1 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Triage

Analyze requirements for completeness. Explore code + docs, surface gaps, ask clarifying questions, write a report.

Tracker-agnostic and storage-agnostic: fetching a ticket, searching docs and choosing where the report lands are all pluggable (see references/sources.md). A tracker or a doc source can be a CLI, a connected server, or plain files in the repo.

Arguments

$ARGUMENTS is a space-separated string. Parse optional flags first, then treat the remainder as the input.

FlagMeaning
--ticket <id>Ticket / work-item id (label + fetch hint).
--name <title>Override inferred report title.
--out <path>Write report to this path; skip the save prompt.
--printPrint report to stdout; skip the save prompt.

Wrappers may pre-pin any of these — user-passed flags WIN.

Input Detection

After flags are stripped, the remainder selects the requirement source:

FormSource
emptyprompt user to paste / describe
path ending .mdlocal markdown spec file
bare id (12345, PROJ-42)tracker ticket → see below
URL pointing at an issue/itemtracker ticket → see below
anything elsetreat as pasted text

Ambiguous → ask. Do NOT guess.

Workflow

1. Resolve input

empty

Prompt: "Paste requirements / spec text, or give a ticket id, URL, or .md path."

.md path

Read file. Use content as input. Title from H1 or filename.

pasted text

Use as-is. Derive title from first line / sentence.

tracker ticket

Read references/sources.md and use the first available fetch path. The tracker may be a CLI, a connected server, or files in this repo. Never invent a CLI invocation, a file layout, or an API call — if nothing is available, ask the user to paste the ticket text.

Normalize whatever comes back to: title, description, acceptance criteria, state, type, assignee, area/labels, linked items. HTML descriptions → readable text.

2. Explore codebase + docs

Codebase (Explore agent)

  • Project structure / architecture
  • Existing code that would be modified
  • Patterns and conventions
  • Related features
  • Test coverage patterns

Local docs

docs/, documentation/, wiki/, README.md, CONTRIBUTING.md, ARCHITECTURE.md, OpenAPI specs, ADRs, GLOSSARY.md (or GLOSSARY-MAP.md), inline code comments.

External docs (optional)

If a docs search tool is connected (see references/sources.md), search it for related material: by title keywords, by feature / area name, by domain terms from the description, plus any terms in $ARGUMENTS. Look for technical specs, ADRs, related-feature docs, business rules, prior decisions.

No such tool → skip silently, note it in the report only if a gap seems doc-shaped.

3. Assess completeness

DimensionQuestions
Problem clarityGoal stated? Why needed?
ScopeIn scope? Explicitly out?
User impactWho benefits? Journey affected?
Acceptance criteriaDone definition? Success metrics?
Edge casesErrors? Empty states? Boundaries?
Technical scopeComponents/files affected? API changes?
DependenciesBlocked by? Coordination?
Non-functionalPerformance? Security?
DataSchema? Migration?
UX/UIDesigns? Patterns?

Rate: Ready / Mostly Ready / Needs Clarification / Underspecified.

4. Generate questions

Categories:

  1. Blockers — must answer before any work
  2. Scope clarification — boundaries
  3. Technical decisions — implementation
  4. Nice to know — non-blocking

5. Ask interactively

Ask the user interactively. 1–4 questions per batch, 2–4 suggested options each. Record answers. Unanswered → output file.

6. Write output

{date} = YYYY-MM-DD. {slug} = with ticket: <ticket-id>-<slugified-title>, else <slugified-title>. Slugify: lowercase, spaces→hyphens, strip special chars, max 40 chars.

Destination, in order:

  1. --print set → print markdown to stdout. Done.
  2. --out <path> set → write there.
  3. Project has an artifact convention (a protocol skill covers it, or an existing folder of reports makes it obvious) → follow it. See references/sources.md.
  4. Otherwise ask the user:
    1. Print only (no save) — default
    2. Save to /tmp/triage-{slug}.md
    3. Other path

Output Format

# Triage: [Short title]

**Source**: [Ticket id/URL, file path, or "Manual input"]
**Date**: [YYYY-MM-DD]
**Completeness**: [Ready | Mostly Ready | Needs Clarification | Underspecified]

## Summary

[1-sentence summary]

### Understanding

[2-3 sentences from codebase exploration]

### What's Clear

- ...

### Implicit Requirements (from docs)

- [Reqs found in docs that the requirement assumes but doesn't state]

### Gaps Identified

- ...

### Questions

#### Blockers

1. [Question] — [Why it blocks]

#### Scope Clarification

1. ...

#### Technical Decisions

1. ...

#### Nice to Know

1. ...

Only unanswered questions go in output.

7. Summary to user

  • Destination (path, or "printed")
  • Completeness rating
  • Blocker count

Tips

  • Don't ask what code/docs already answer — explore first
  • Surface implicit requirements from docs — tickets assume documented knowledge
  • 3 critical questions > 10 nice-to-haves
  • Frame to unblock decisions, not gather trivia
  • Docs contradict ticket → blocker question

Notes

  • Read-only against the tracker. Never updates ticket state — that's dev-azdo:ticket (if the dev-azdo plugin is installed) or the platform CLI.
  • Tracker and docs recipes live in references/sources.md — load only when the input is a ticket or a docs search is wanted.
  • Division of labor with aiwork-protocol: aiwork-protocol decides where the artifact lands; triage decides what goes in it. Both trigger on "triage" — if the user wants a report written, that's this skill.

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