lint
Skill0 starsChanged 26 days agoMITView on GitHub
Run, fix, and set up linters and formatters for .NET (C#) and TypeScript/JavaScript through an interview. Use when the user mentions linting, formatting, ESLint, Prettier, Biome, dotnet format, analyzers, or .editorconfig, or before committing .NET or TS/JS changes.
80 other projects use a version of this.
Adopted by
Most recently taken up by
- PMDevSolutions/Flaviantheir own version, first seen Nov 8, 2026
- levi-qiao/obsidian-llm-wikitheir own version, first seen Nov 8, 2026
- elastic/docs-buildertheir own version, first seen Nov 4, 2026
- DataDog/dd-trace-pytheir own version, first seen Nov 1, 2026
- PMDevSolutions/Aureliustheir own version, first seen Nov 1, 2026
- github/replicatheir own version, first seen Nov 1, 2026
Used with
Projects with it also use query, ingest 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.
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Digest an external source (article, paper, transcript, URL, book chapter) and integrate its content into the knowledge base
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PydanticSkillcoverage
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Complete and save your current thinking to Bindly
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BugRogerSkillproject
Project lifecycle management. Dispatches to Ada.
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AnthropicSkilldigest
Generate a daily or weekly digest of activity across all connected sources. Use when catching up after time away, starting the day and wanting a summary of mentions and action items, or reviewing a week's decisions and document updates grouped by project.
Also in 3 projects that use this
Other versions80 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 80
- ray-project/ray★ 44ksame name
- FalkorDB/FalkorDB★ 10ksame name
- FastLED/FastLED★ 7.5ksame name
- fleetdm/fleet★ 7.2ksame name
- aaddrick/claude-desktop-debian★ 5.5ksame name
- cloudposse/atmos★ 1.4ksame name
- ethereum/execution-specs★ 1.2ksame name
- adobe/S3Mock★ 1.2ksame name
- maxGraph/maxGraph★ 1.2ksame name
- jason-effi-lab/karpathy-llm-wiki-vault★ 718same name
70 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 repository10 other files it gives its agents.
- .github/copilot-instructions.mdCopilot instructions
- ado-implementSkill
- branch-policiesSkill
- grillingSkill
- grill-meSkill
- implementSkill
- pr-reviewSkill
- prSkill
- spec-kitSkill
- teachSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 67 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 25
Only for pieces the runner marked none.
- Distinctive: line 29
After installing, dispatch the runner with the scope whole repo and report its counts.
- Distinctive: line 37
Auto-fixes: run the runner's fix commands on the scope.
“Common” is measured: kept by at least 6 in 10 of the 67 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
Make the files the user touched pass the repo's linters and formatters, and set those tools up where the repo has none. The repo's config and scripts are the rules: this skill runs them and leaves their choices alone unless the user decides otherwise at a gate.
- On its own (
/lint): use the interview mode and round format from implement. Open each gate withLint · Step N · Round k. - Inside another skill (
implement,ado-implement,pr-review): use that skill's mode, and fold this skill's gates into its current round.
Controls: take the merged lint controls from the calling skill, or read them with controls.sh lint --ref origin/<base> (CONTROLS.md). They set the scope (LINT-01), what must pass (LINT-02, LINT-03), how a suppression looks (LINT-04), and the baselines (LINT-10 to LINT-12). List any the repo turned off in the first round.
Scope is the touched files: changed against the base branch (git diff --name-only --diff-filter=d origin/<base>...HEAD) plus uncommitted ones (git status --porcelain). Lint the whole repo only when the user asks or the repo's LINT-01 says so.
1. Detect and check
Dispatch the Lint Runner subagent with the repo root, the base ref, the scope's file list, and the merged lint controls. In clients without that agent, dispatch a general subagent whose prompt is the body of lint-runner, followed by the same inputs. It runs in check mode and returns the repo's tools and commands, anything it couldn't run, and the findings sorted into auto-fix, code change, and rule question. Keeping that output in the subagent keeps long lint logs out of the conversation.
A Not run entry is a tool problem: show its error and fix it with the user, installing anything missing on their yes, then dispatch again.
Done when the runner returns with nothing under Not run.
2. Set up
Only for pieces the runner marked none.
Gate: for each missing piece, the baseline its setup control names (LINT-10 to LINT-12); SETUP.md shows how to set up the defaults. Where the repo overrides a setup control, set up what the override names. List the files to add, packages to install, scripts to define, and the options. The user can decline a piece; it stays none and goes in the report.
After installing, dispatch the runner with the scope whole repo and report its counts. When existing code produces many findings, recommend landing the setup as its own PR before the feature work, or the gentler starting level that SETUP.md names.
Done when every none piece is set up or declined.
3. Fix
Gate: the runner's count in each group, the auto-fixes to apply, the code changes you propose, and one question per rule question.
- Auto-fixes: run the runner's fix commands on the scope.
- Code changes: edit by hand, then rerun the tests that cover the edit.
- Rule questions: on the user's yes, suppress as
LINT-04requires, for example:// eslint-disable-next-line <rule> -- <reason>,// biome-ignore <rule>: <reason>, a#pragma warning disable <ID> // <reason>andrestorepair, or[SuppressMessage("<category>", "<ID>", Justification = "<reason>")]. Changing a rule's severity in config affects the whole repo, so ask it as a separate question.
Dispatch the runner again after each batch. Done when it returns clean.
4. Report
A table per stack: each check command, its result, and the counts fixed and suppressed, plus any piece left none. Offer to add missing check commands to CI, as a local edit on the user's yes.
In teach mode, link each rule you fixed or suppressed to its documentation: https://eslint.org/docs/latest/rules/<rule>, https://typescript-eslint.io/rules/<rule>, https://biomejs.dev/linter/rules/<rule>, https://learn.microsoft.com/dotnet/fundamentals/code-analysis/quality-rules/<caXXXX> for CA rules, and …/code-analysis/style-rules/<ideXXXX> for IDE rules.
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.

