discuss
Skill12 starsChanged 3 months agoMITView on GitHub
Use when thinking with Wheeler like a colleague to sharpen a question, interpret plan results, or review a harvested batch
31 other projects use a version of this.
Adopted by
Most recently taken up by
- DaeSeokSong/oh-my-ouroborostheir own version, first seen Nov 1, 2026
- koomai/claude-kittheir own version, first seen Oct 27, 2026
- danielcherubini/skillstheir own version, first seen Oct 25, 2026
- cachewraith/cachewraith-skillstheir own version, first seen Oct 25, 2026
- 2bTwist/dotagentstheir own version, first seen Oct 13, 2026
- ilamanov/skillstheir own version, first seen Oct 13, 2026
Used with
Projects with it also use quick, implement and 4 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.
codebycoreySkillquick
Quick start a change with minimal interaction. Use when fast-tracking a straightforward change that needs proposal, design, and tasks in one step.
Also in 4 projects that use this
Hugging FaceSkillimplement
Make tests pass. Invoke after /write-tests produces failing tests.
Also in 7 projects that use this
SentrySkillspec
Produce a verified spec — problem, desired outcome, and acceptance criteria — before building. Use when given a GitHub/Linear issue link, when starting from a fuzzy in-conversation idea, or asked to "figure out what to do" / "scope this" / "what should I build" — whenever the *what* isn't yet pinned down. Grills the ambiguities, checks the premise against the code, and produces acceptance criteria you sign off on — then hands to design-first.
Also in 3 projects that use this
NVIDIASkillresearch
Before designing a feature, research how comparable libraries solve the problem, check best practices, known pitfalls, and upstream changes. Use when starting a new feature, investigating an unfamiliar area, or the user asks to research something.
Also in 6 projects that use this
AWSSkillship
Finalize dev work on an issue branch — update docs, push, and open a PR.
Also in 4 projects that use this
Microsoft AzureSkillverify
End-to-end app testing pipeline for browser-based web apps on cloud browsers via Azure Playwright Workspaces: verify the live app, author tests for working flows, heal failing tests, then re-run with video and produce one consolidated report. Three phases (app verification, test authoring, test healing) plus a scoped final sanity run; each phase emits a sub-report. Use when asked to "verify my app", "make sure my app works and has good test coverage", "do a full QA pass", "add tests where I'm missing coverage", "fix failing tests and add new ones", "smoke test before deploy", "QA my deployment", or any combined verify-and-test ask. Requires Azure CLI (`az login`) and a Playwright Workspace resource ID — bootstraps configs on first invocation. Browser-based web apps with Playwright only — not for unit/API tests, native mobile/desktop, load/perf, or full accessibility audits.
Also in 4 projects that use this
Other versions31 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 31
- govctl-org/govctl★ 276same name
- team-attention/hoyeon★ 173same name
- avibebuilder/claude-prime★ 119same name
- MarcusJellinghaus/mcp-workspace★ 49same name
- codesoda/discuss-cli★ 46same name
- MarcusJellinghaus/mcp-tools-py★ 21same name
- danielcherubini/skills★ 14same name
- akash-joshi/agent-skills★ 8same name
- iopsystems/skills-mcp★ 6same name
- koomai/claude-kit★ 4same name
21 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 repository47 other files it gives its agents.
- .claude/commands/wh/CLAUDE.mdCLAUDE.md
- CLAUDE.mdCLAUDE.md
- docs/CLAUDE.mdCLAUDE.md
- wheeler/CLAUDE.mdCLAUDE.md
- wheeler-briefSkill
- wheeler-service-creatorSkill
- addSkill
- askSkill
- asta-assistantSkill
- asta-litSkill
- asta-reportSkill
- asta-scholarSkill
- astaSkill
- asta-theorizeSkill
- backupSkill
- bumpSkill
- chatSkill
- closeSkill
- compileSkill
- dev-feedbackSkill
- dreamSkill
- executeSkill
- graph-linkSkill
- graph-reviewSkill
- handoffSkill
- ingestSkill
- initSkill
- lessonSkill
- llmsr-discoverSkill
- llmsr-transferSkill
- noteSkill
- pairSkill
- pauseSkill
- planSkill
- queueSkill
- reconveneSkill
- reportSkill
- restoreSkill
- resumeSkill
- serviceSkill
- skill-creatorSkill
- startSkill
- statusSkill
- triageSkill
- updateSkill
- wheeler-voiceSkill
- writeSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 0 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 28 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 71
Call get_act on the wheeler_core MCP server with name="discuss", then follow the returned instructions exactly.
- Very specific: line 81
If get_act is unavailable, the Wheeler MCP servers are not connected.
“Common” is measured: kept by at least 6 in 10 of the 28 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
<!-- GENERATED FILE. Do not edit.
Source: wheeler/_data/commands/discuss.md
Regenerate: python -m wheeler.build_plugin
The act body is served over MCP by wheeler_core.get_act(), so it is
deliberately absent here: there is exactly one copy of it. -->Call get_act on the wheeler_core MCP server with name="discuss",
then follow the returned instructions exactly. They are the authoritative
definition of this act. Do not improvise the workflow or substitute your own
plan for it.
Pass host="codex" when running under Codex so the orchestration guidance
matches the tools this host actually has.
Mode: write. Orchestration: skill-dispatch.
If get_act is unavailable, the Wheeler MCP servers are not connected. Say so
rather than guessing at the workflow: acting without the act text is how
provenance gets silently skipped.
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.

