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Aiwg Issue

Community
jmagly
aiwg-issue

AIWG project issue filing only — templates, environment capture, duplicate detection, and import flow for AIWG tracker reports; not for general issue audits or address-issues processing

Overview

Publisherjmagly
Repositoryaiwg
Skill nameaiwg-issue
Stars
225
Forks
34
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Aiwg Issue 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/jmagly/aiwg/tree/main/agentic/code/addons/aiwg-utils/skills/aiwg-issue
  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/jmagly/aiwg.git /tmp/aiwg
mkdir -p .claude/skills
cp -r /tmp/aiwg/agentic/code/addons/aiwg-utils/skills/aiwg-issue .claude/skills/aiwg-issue
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aiwg Issue 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 Aiwg Issue 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 Aiwg Issue 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.

Filing AIWG Issues

You are helping a user (or yourself, as an autonomous agent) file a high-quality issue. The bar is set by the recent tester-report import sweep (Gitea #1264–#1269): environment captured, exact commands, error text in code blocks, suggested fix paths.

This is an AIWG-specific kernel capability. Use it for filing, importing, or triaging the quality of issue reports about AIWG itself.

Do not use this skill for general backlog processing:

  • Use issue-audit / audit-issues when the user asks to audit open issues, triage a backlog, find duplicates, review stale issues, or rank work.
  • Use address-issues when the user asks to fix, process, or work through issues.
  • Treat aiwg-* skill names as AIWG product/workspace capabilities, not as the generic issue-processing surface.

When this fires

Natural-language triggers:

  • "file an AIWG issue"
  • "report an AIWG bug"
  • "import this AIWG issue from GitHub"
  • "I want to file an issue"
  • "How do I report a bug?"
  • "Help me write up a bug report"
  • "What template should I use?"
  • "Should I file a new issue or comment on an existing one?"
  • "Import this report from GitHub" / "from Discord" / "from email"

Non-triggers:

  • "audit open issues"
  • "triage the issue backlog"
  • "review stale issues"
  • "address issues"
  • "process open issues"

Template selection

TemplateWhen to usePath
bug-report.mdOne concrete defect with a reproduction.gitea/ISSUE_TEMPLATE/bug-report.md
feature-request.mdA new capability or enhancement proposal.gitea/ISSUE_TEMPLATE/feature-request.md
tester-report.mdA single session that surfaced multiple findings.gitea/ISSUE_TEMPLATE/tester-report.md
imported-report.mdMirroring an issue filed in a different tracker.gitea/ISSUE_TEMPLATE/imported-report.md

Templates exist in both .gitea/ISSUE_TEMPLATE/ (for Gitea) and .github/ISSUE_TEMPLATE/ (for the GitHub mirror). Pick the one matching the target tracker; the content is identical.

The walkthrough

1. Triage first

Ask: is this one bug, or multiple findings from a single session?

  • One issue → bug-report.md or feature-request.md
  • Multiple findings → tester-report.md, split into discrete bugs during follow-up triage
  • Already filed elsewhere → imported-report.md

One bug per issue. If three things broke, file three issues (or one tester-report and split). Don't bundle.

2. Duplicate detection (BEFORE filing)

Always check for duplicates first. Cheaper to comment on an existing thread than file again. Use:

bash
aiwg discover "<keywords from the proposed title>"

Then search the tracker for matching titles. The steward-prep-delivery skill bundles both lookups into one command:

bash
aiwg run skill steward-prep-delivery -- "<search terms>"

If a likely duplicate exists, comment on it rather than filing fresh.

3. Environment capture (REQUIRED — three non-negotiable fields)

Bug reports without AIWG version + operating system + provider are bounced before triage. Collect ALL of these:

bash
aiwg version           # → AIWG version + channel (REQUIRED)
uname -a               # → operating system + kernel (REQUIRED)
node --version         # → Node version
aiwg doctor            # workspace health snapshot (helpful)

And — also required — the provider (the AIWG harness in use): one of claude-code, codex, copilot, cursor, factory, hermes, opencode, openclaw, openhuman, omp, pi, warp, or windsurf.

When you (the agent) draft a bug report on behalf of a user, ask explicitly for each of the three required fields if they aren't already in the conversation. Don't infer. The May-2026 jmagly→roctinam import sweep needed a correction round because the original GitHub report cited "Claude Code 2.1.137" but the actual harness in use was hermes — same bug, different behavior, wasted half a round-trip to clarify. Don't repeat that.

The bug-report template has a checklist that enforces this; surface it before the operator submits.

4. Reproducible repro

Paste exact commands (copy-paste-ready, no <placeholder>s without explicit substitution instructions) and exact error text in fenced code blocks. Paraphrased errors lose detail.

Bad:

"When I run the steward command it errors out"

Good:

$ aiwg steward capabilities --provider claude-code
ERROR ENOENT: no such file or directory, open '/home/linuxbrew/.linuxbrew/lib/node_modules/aiwg/dist/agentic/code/providers/capability-matrix.yaml'

5. Title format

type(scope): one-line summary. Examples:

  • bug(steward): AIWG_ROOT path resolution lands at dist/ instead of package root
  • feat(contributing): consistent PR + Issue templates
  • regression: Skill Seekers implementation lost
  • imported: <original title> (<source>#<number>) for imports

Vague titles ("doesn't work", "broken") get bumped back. Insist on the typed form.

6. Suggested fix (if you've investigated)

If you've already traced the bug, point at the file or line. "I think this is in src/cli/handlers/steward.ts:26" is faster than a round-trip. This is optional but valued — the recent #1261/#1262/#1263 imports landed faster because the original reporter included file-line pointers.

7. Acceptance criteria

Bug reports should include checkable acceptance:

markdown
- [ ] Repro from "Steps to reproduce" no longer fails
- [ ] Regression test added (if the bug bypassed existing tests)
- [ ] Related docs updated (if behavior was documented incorrectly)

Feature requests need concrete, checkable conditions — not "works well" or "feels right".

Import flow (cross-tracker reports)

When a report lands in a different tracker (GitHub mirror, Discord, email, vendor support), mirror to Gitea as imported-report.md:

  1. Title: imported: <original title> (<source>#<number>)
  2. Link the source URL
  3. Preserve the original reporter handle and platform/environment (correct it if the source got it wrong)
  4. Add a "Status against current main" table
  5. Cross-reference any local issues that duplicate or overlap
  6. If already fixed: note the resolving commit and close as duplicate
  7. Thank the original reporter in a closing comment when the work lands

Example: jmagly#108–#112 → roctinam #1264–#1268 sweep (May 2026).

Filing

Before any MCP, CLI, API, or web-UI write, discover and load the issue-create skill, then route the final title/body through its policy composition. Use the returned segment bodies exactly; obtain digest-bound authorization when requested, and make no write for a blocked plan. This prevents authoring an issue that the address workflow will reject under the same project policy.

bash
aiwg discover "issue create" --type skill
aiwg show skill issue-create --body
aiwg run skill issue-create -- "<title>" --provider gitea --labels "bug"

Or use the tracker's web UI with the template. Both are valid.

For Gitea via MCP (if available):

yaml
mcp__git-gitea__issue_write:
  method: create
  owner: roctinam
  repo: aiwg
  title: '<title>'
  body: '<full body following bug-report.md template>'

After filing

  • Add labels (priority, area, type) per the ops-issue-tracking rule conventions
  • Link related issues with Refs #N / Blocked-by: #N / Blocks: #N in the body
  • Watch the thread for triage comments and answer promptly

Anti-patterns to flag

  • "While I'm at it" — adding unrelated changes to a bug report. Split into separate issues.
  • Bundling fixes into the report — if you have a fix, file the issue first, then submit the PR with Closes #N. Don't mix.
  • Re-filing duplicates — always run duplicate detection first.
  • Vague titles — type(scope): subject form is required.
  • Missing environment — bug reports without OS/version/platform get clarified before action.

Related

  • Skills: aiwg-pr (filing PRs), steward-prep-delivery (interactive walkthrough), issue-create (low-level filing), issue-auto-sync (commit↔issue linking)
  • Templates: .gitea/ISSUE_TEMPLATE/, .github/ISSUE_TEMPLATE/
  • Docs: CONTRIBUTING.md (full contributor guide)
  • Rules: delivery-policy, no-attribution, ops-issue-tracking
  • Origin: #1269 (templates), #1264–#1268 (tester report sweep that motivated this)

Frequently asked questions

What does the Aiwg Issue AI skill do?

AIWG project issue filing only — templates, environment capture, duplicate detection, and import flow for AIWG tracker reports; not for general issue audits or address-issues processing

Why use Aiwg Issue on TypingMind?

Because you install it once and use it with any model. Aiwg Issue 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 Aiwg Issue in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/aiwg-utils/skills/aiwg-issue. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Aiwg Issue?

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 Aiwg Issue?

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

Is the Aiwg Issue AI skill free?

Yes. It is published on GitHub by jmagly 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.

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