Issue Triage logo

Issue Triage

Organization
testdouble
issue-triage

Triage a raw, vague issue or bug report into a structured document that names what is known, what is missing, and what to do next. Use when an incoming issue, bug report, or problem description is too vague or incomplete for investigation or planning, and recommend the right next han skill. Does not investigate root causes or trace code paths — use investigate for debugging, diagnosis, and root cause analysis. Does not plan features or build solutions — use plan-a-feature or plan-implementation for that.

Overview

Publishertestdouble
Repositoryhan
Skill nameissue-triage
Stars
320
Forks
26
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by testdouble on GitHub. Read the source before you install it.

Installation

Install the Issue Triage AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/testdouble/han/tree/main/han-research/skills/issue-triage
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/testdouble/han.git /tmp/han
mkdir -p .claude/skills
cp -r /tmp/han/han-research/skills/issue-triage .claude/skills/issue-triage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Issue Triage in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Issue Triage on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Issue Triage is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Project Context

  • CLAUDE.md: !find . -maxdepth 1 -name "CLAUDE.md" -type f
  • project-discovery.md: !find . -maxdepth 3 -name "project-discovery.md" -type f
  • personal config directory: !bash "${CLAUDE_PLUGIN_ROOT}/scripts/han-config-dir.sh" 2>/dev/null || echo "$HOME/.claude"
  • project .han/config.md: !cat .han/config.md 2>/dev/null || echo ""

As your first action, use the Read tool on .han/config.md inside the personal config directory path above. A read that returns no file is no personal configuration: continue silently. When that file or the project .han/config.md probe supplies content, apply it per config-rule.md, which governs precedence between the two files, relative-path resolution, and what to do with a file that reads but cannot be used.

Triage Approach

  • Work only from what the reporter wrote. Do not infer facts that are not stated. This is the single most important constraint in this skill.
  • Classify the issue type before doing anything else. The type drives what counts as missing information.
  • Severity and reproducibility are estimates based on what is known. For a Bug, Regression, Performance, or Security issue, mark them Unknown when not inferable. For a Feature Request, Question, or Other issue, omit them entirely when they are not inferable (see Step 4) rather than rendering Unknown.
  • The recommended next step is the single most appropriate han skill (or "clarify with reporter") to run after triage completes.
  • Project context (CLAUDE.md, project-discovery.md) is read only to identify Suspected Areas. Never use it to supply information the reporter omitted.
  • Source the standard by invoking han-communication:readability-guidance and apply it as you write the triage document. Hold its default audience frame: a capable reader who did not do this work and lacks the author's context.

Issue Triage

Step 0: Resolve the Issue Text

Determine the issue text from the argument:

  • If the argument is a path to an existing file, read that file; its contents are the issue text.
  • Otherwise the argument text itself is the issue text.
  • If no argument was given and no issue text is present in the conversation, ask the reporter to paste the issue or bug report, then stop until they provide it.

Step 1: Classify the Issue

Determine the issue type from the report text. Choose exactly one:

  • Bug — something is broken or behaving unexpectedly
  • Feature Request — something new is being asked for
  • Performance — the system is too slow, uses too much memory, or degrades under load
  • Security — a vulnerability, exposure, or access control concern
  • Regression — the reporter explicitly says it used to work and no longer does; quote or paraphrase that statement
  • Question — the reporter is asking how something works, not reporting a problem
  • Other — none of the above apply

Step 2: Extract What Is Known

From the report, identify:

  • Summary — one sentence describing the problem in plain terms
  • Reported Behavior — what the reporter said happened, in their words or a close paraphrase
  • Expected Behavior — what the reporter said should happen; if not stated, mark Unknown

Step 3: Identify Missing Information

List what a developer would need to reproduce or investigate this issue that is absent from the report. Common gaps by issue type:

  • Bug / Regression — reproduction steps, environment (OS, browser, version), error messages or stack traces, affected data or user accounts, frequency of occurrence
  • Performance — scale or load at which the problem occurs, baseline measurements, environment
  • Security — affected endpoints or data, attack surface description, access level required to trigger
  • Feature Request — use case or job to be done, success criteria, constraints
  • Feature Request / Question (problem space not yet decided) — which options or approaches are in play, prior art, a build-vs-buy choice, or which direction to take, when the reporter is asking to define or scope the problem rather than supplying a missing fact about a direction already chosen

List only what is genuinely absent. Do not list information already present in the report. If nothing is missing, write exactly: None - report has enough to proceed.

Step 4: Assess Severity and Reproducibility

Severity (estimate from what is known):

  • Critical — data loss, system down, security breach, or blocks all users
  • High — major feature broken, significant user impact, no workaround known
  • Medium — feature degraded, workaround exists, or affects a subset of users
  • Low — cosmetic, edge case, or minor inconvenience
  • Unknown — not enough information to assess

Reproducibility (estimate from what is known):

  • Always — happens consistently under described conditions
  • Intermittent — happens sometimes; conditions unclear
  • Rare — reported once or infrequently; hard to reproduce
  • Unknown — not stated in the report

Omit when inapplicable. Severity and Reproducibility describe a problem that is occurring. When the issue type is Feature Request, Question, or Other and neither is inferable from the report, omit both sections entirely rather than rendering Unknown — the same omit-when-not-inferable pattern Step 5 applies to Suspected Areas. For a Bug, Regression, Performance, or Security issue, always render both (as Unknown if needed); they are core to triaging a problem.

Step 5: Identify Suspected Areas

If the report points to a specific system area, list it. Then, only to sharpen those areas, consult project context: if the CLAUDE.md label is non-empty, read it; if the project-discovery.md label is non-empty, read it (it is the richer system map when present). Use them to name relevant areas such as upload pipeline, authentication middleware, database migrations, or frontend state management.

Do not infer areas the report does not point to, and never use project context to supply information the reporter omitted. If both CLAUDE.md and project-discovery.md are absent or empty, or nothing in the report points to a specific system area, omit the Suspected Areas section entirely and continue.

Step 6: Determine the Recommended Next Step

Decide the single recommendation using the issue type from Step 1 and the gaps from Step 3:

  • Bug, Regression, Performance, or Security — if reproduction steps, environment details (OS, browser, version), or user-impact scope are missing, the recommendation is Clarify with reporter before proceeding. Otherwise it is /investigate.
  • Feature Request — if the Step 3 Missing Information names a problem-space gap (which options or approaches are in play, prior art, a build-vs-buy choice, or which direction to take) rather than a missing user-supplied fact, the recommendation is /research — the problem space must be researched before the feature can be specified. Otherwise, if the use case (job to be done) or success criteria are missing, the recommendation is Clarify with reporter before proceeding. Otherwise, if the feature is described but not yet specified, it is /plan-a-feature; if requirements are already specified, it is /plan-implementation.
  • Question — if the Step 3 Missing Information names a problem-space gap (options, approaches, prior art, a build-vs-buy choice, or which direction to take), the recommendation is /research. Otherwise, if the report plus project context is enough to answer it, the recommendation is Answer the question directly; no han skill needed; if not, it is Clarify with reporter before proceeding.
  • Other — the recommendation is Clarify with reporter before proceeding.

Step 7: Write the Triage Report

Resolve the output path:

  • If the user specified an output path, use it.
  • Otherwise use $HOME/.claude/triages/{kebab-case-summary}.md, where {kebab-case-summary} is the Step 2 Summary lowercased with non-alphanumeric runs replaced by single hyphens.

Run mkdir -p on the directory that will contain the file (for the default, mkdir -p "$HOME/.claude/triages"). Write the report using the template at template.md, filling every section from Steps 1-6 and writing the Step 6 result verbatim into Recommended Next Step. Omit the Suspected Areas section if Step 5 determined nothing is inferable, and omit Severity and Reproducibility per the Step 4 omit rule.

Before presenting, run the standardized readability self-check (the shared standard is in your context from han-communication:readability-guidance) over the document's prose regions only — never inside code fences, diagram bodies, or citation identifiers. This skill runs no rewrite pass, so this self-check is the fidelity guard on the output; the fidelity criterion is not optional. Confirm each criterion and fix any failure before presenting:

Run the readability rule's standardized self-check, which is already in your context from the readability-guidance invocation above. Correct every failure before presenting. Its fidelity criterion is not optional: the standard governs how the content is said, and drops a required fact only when the reader asked for less and losing it would not change what they do next.

Present the completed triage report to the user. When the Recommended Next Step is a han skill (/investigate, /research, /plan-a-feature, or /plan-implementation), state plainly that this triage report is the handoff document — the user passes the report itself to that skill rather than re-summarizing the issue. No separate brief is produced; the report already serves as the handoff.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Issue Triage AI skill do?

Triage a raw, vague issue or bug report into a structured document that names what is known, what is missing, and what to do next. Use when an incoming issue, bug report, or problem description is too vague or incomplete for investigation or planning, and recommend the right next han skill. Does not investigate root causes or trace code paths — use investigate for debugging, diagnosis, and root cause analysis. Does not plan features or build solutions — use plan-a-feature or plan-implementation for that.

Why use Issue Triage on TypingMind?

Because you install it once and use it with any model. Issue Triage is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Issue Triage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/testdouble/han/tree/main/han-research/skills/issue-triage. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Issue Triage?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Issue Triage?

As many as you like. As long as a model supports skills, you can use Issue Triage with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Issue Triage AI skill free?

Yes. It is published on GitHub by testdouble under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇