setup
Skill0 starsChanged 3 months agoMITView on GitHub
Configures the issue tracker. Called by start-session during first orient. Model-invoked — runs automatically as part of the flow, not user-triggered.
191 other projects use a version of this.
Adopted by
Most recently taken up by
- hydra-db/hydradb-claude-codetheir own version, first seen Nov 8, 2026
- WALKERKILLER/Look-Tongji-Notestheir own version, first seen Nov 8, 2026
- steerlabs/opensteertheir own version, first seen Nov 8, 2026
- ansvisor/ansvisortheir own version, first seen Nov 8, 2026
- dsifry/metaswarmtheir own version, first seen Nov 8, 2026
- anombyte93/prd-taskmastertheir own version, first seen Nov 8, 2026
Used with
Projects with it also use add-voice-transcription, add-discord and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
juancruzmunozalbeloSkilladd-voice-transcription
Add voice message transcription to NanoClaw using OpenAI's Whisper API. Automatically transcribes WhatsApp voice notes so the agent can read and respond to them.
Also in 5 projects that use this
MicrosoftSkilladd-discord
Add Discord bot channel integration via Chat SDK.
Also in 11 projects that use this
MicrosoftSkilladd-slack
Add Slack channel integration via Chat SDK.
Also in 11 projects that use this
juancruzmunozalbeloSkilladd-telegram-swarm
Add Agent Swarm (Teams) support to Telegram. Each subagent gets its own bot identity in the group. Requires Telegram channel to be set up first (use /add-telegram). Triggers on "agent swarm", "agent teams telegram", "telegram swarm", "bot pool".
Also in 7 projects that use this
- +8 more from microsoft
Other versions191 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 191
- anthropics/knowledge-work-plugins★ 35ksame name
- garrytan/gbrain★ 32ksame name
- gavrielc/nanoclaw★ 31ksame name
- nanocoai/nanoclaw★ 31ksame name
- qwibitai/nanoclaw★ 31ksame name
- Q00/ouroboros★ 6.3ksame name
- pytorch/executorch★ 5.2ksame name
- agenticnotetaking/arscontexta★ 3.5ksame name
- aws/agent-toolkit-for-aws★ 3.4ksame name
- spotify/portal-ai-plugins★ 2.8ksame name
181 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository19 other files it gives its agents.
- codebase-designSkill
- code-reviewSkill
- diagnosing-bugsSkill
- document-directorySkill
- domain-modelingSkill
- grillingSkill
- grill-with-docsSkill
- handoffSkill
- implementSkill
- improve-codebase-architectureSkill
- prototypeSkill
- researchSkill
- resolving-merge-conflictsSkill
- scope-lockSkill
- start-sessionSkill
- tddSkill
- to-specSkill
- to-ticketsSkill
- wayfinderSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 171 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Run once per project during the first orient.
- Very specific: line 65
Never assume GitHub because a .git remote exists — ask.
- Distinctive: line 66
Never skip the tracker question.
“Common” is measured: kept by at least 6 in 10 of the 171 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Setup
Run once per project during the first orient. Configures the issue tracker.
Bundled skills
The following mattpocock/skills are bundled with this plugin and always available (no external detection needed):
grilling— core grilling disciplinegrill-with-docs— user-invoked grilling + domain modelingdomain-modeling— ADR/glossary maintenancetdd— TDD reference materialprototype— throwaway artifact methodologycodebase-design— shared design vocabularydiagnosing-bugs— structured bug diagnosisimprove-codebase-architecture— visual architecture review
These live in skills/ and are referenced by other skills
at defined integration points. No detection scan is needed for them.
Steps
- Acknowledge bundled skills. State in one line: "8 mattpocock/skills are bundled with this plugin (grilling, domain-modeling, tdd, prototype, codebase-design, diagnosing-bugs, improve-codebase-architecture, grill-with-docs) — available at their integration points automatically."
- Ask which issue tracker to use — one question, three options:
- Local files (
docs/agents/) — simplest, no account needed, version-controlled. Default if no strong preference. - GitHub Issues — if the project has or will have a GitHub remote.
- Linear — if the user already uses Linear.
- Local files (
- If GitHub or Linear: confirm which repo/project to use, or whether to create one. If creating: default to private.
- Create
.agent/state.jsonwith the v2 schema:{ "version": 2, "status": "orienting", "map_ref": "docs/agents/map.md", "issue_tracker": "<chosen>", "tracker_repo": null, "risk_posture": "standard", "doc_tier": null } - Determine the documentation tier using
reference/doc-tiers.md. For empty directories, weight heavily on user intent. For existing code, blend heuristic signals with any existing docs (treated as a floor). Updatedoc_tierin state.json.
What this skill must never do
- Never assume GitHub because a
.gitremote exists — ask. - Never skip the tracker question.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

