skill-doctor
Skill7 starsChanged 35 days agoMITView on GitHub
Diagnose an existing AI Skill (SKILL.md) — plain explanation of what/why/how/when, an optional workflow diagram, a two-lane review (design quality + technical/domain accuracy), and ranked enhancement suggestions. Hands off actual edits to skill-creator rather than duplicating its update logic. Use whenever the user wants to "understand," "explain," "review," "audit," "evaluate," or "get a second opinion on" a skill they already have (their own or someone else's) — e.g. "what does this skill do," "is this skill any good," "how could this be better," "diagram how this skill works." Not for building a new skill from scratch or running trigger-optimization loops — route those to skill-creator instead.
27 other projects use a version of this.
Adopted by
Most recently taken up by
- isalicema/skill-doctortheir own version, first seen Nov 8, 2026
- compozy/compozytheir own version, first seen Nov 7, 2026
- qiangjiyi/jiyi-skillstheir own version, first seen Nov 4, 2026
- arthjean/skillstheir own version, first seen Nov 1, 2026
- jongio/skillstheir own version, first seen Nov 1, 2026
- warpdotdev/common-skillstheir own version, first seen Oct 20, 2026
Used with
Projects with it also use herdr, diagnosing-bugs 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.
ninehillsSkillherdr
Control herdr from inside it. Manage workspaces and tabs, split panes, run commands, read output, and wait for state changes — all via CLI commands that talk to the running herdr instance over a local unix socket. Use when running inside herdr (HERDR_ENV=1).
Also in 3 projects that use this
GoogleSkilldiagnosing-bugs
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
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 4 projects that use this
SentrySkillsecurity-review
Finds exploitable application security vulnerabilities in code changes. Use for Warden security scans, appsec review, OWASP-style checks, authentication or authorization bugs, injection, XSS, SSRF, path traversal, secrets, unsafe crypto, webhook verification, open redirects, or sensitive data exposure.
Also in 3 projects that use this
GoogleSkillgrill-me
A relentless interview to sharpen a plan or design.
Also in 4 projects that use this
MicrosoftSkillhandoff
Compact the current conversation into a handoff document for another agent to pick up.
Also in 3 projects that use this
Other versions27 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 27
- nyldn/claude-octopus★ 4.4ksame name
- compozy/compozy★ 2.9ksame name
- dotCMS/core★ 971same name
- warpdotdev/common-skills★ 630same name
- mintuz/skills★ 33same name
- jongio/skills★ 18same name
- evilstar2016/skill-doctor★ 15same name
- Yassimba/loom★ 9same name
- isalicema/skill-doctor★ 7same name
- arthjean/skills★ 3same name
17 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 repository8 other files it gives its agents.
- ai-news-weeklySkill
- content-explainer-slideSkill
- content-mermaidSkill
- fact-checkerSkill
- high-fidelity-summarizerSkill
- interactive-course-liteSkill
- linkedin-english-science-postSkill
- tweet-postSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 5 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 24 edited versions we read keep these.
5
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 47
Test coverage: does it have (or plainly need) verifiable eval cases, or is its output too subjective for that
- Distinctive: line 55
If a skill has no checkable claims of any kind (pure style/methodology skills, for instance), say so plainly instead of forcing a …
- Distinctive: line 69
Every phase output must be accurate over comprehensive — if a claim can't be verified, say so rather than filling the gap with a …
- Distinctive: line 70
No section is mandatory beyond what was asked for or what "full report" requires.
- Distinctive: line 71
If a phase has nothing to report (e.g.
“Common” is measured: kept by at least 6 in 10 of the 24 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
Skill Doctor
Reads an existing skill and reports back: what it does, how it flows, whether it's well-built, whether what it teaches Claude to do is actually correct, and what to fix. Does not write the fix itself — that's skill-creator's job.
Scope
This is a read/diagnose skill, not a build skill. It never edits a SKILL.md directly. When the diagnosis calls for changes, stop at "here's the prescription" and tell the user to invoke skill-creator to implement — don't reimplement its update mechanics (name preservation, writable-copy-before-edit, packaging) here.
Input
Read the target skill's SKILL.md in full, plus anything its instructions point to (scripts/, references/, assets/) that's relevant to the phase being run. A path or a name is enough to locate it; don't ask the user to paste the file if it's already on disk.
Which phases to run
Default to the full report (Diagnose → Examine → Proposed enhancements) for any broad ask ("review this skill," "give me the rundown," "audit this"). Run a single phase only when the user's ask is scoped to it ("just explain what this does," "only check if the AUTOSAR steps are accurate"). Chart and Treat are opt-in — see their sections.
Phase 1 — Diagnose (explain)
Output exactly this shape, no more than ~150 words total:
**What it does:** <one line, functional>
**Why it exists:** <the gap it fills, 1-2 sentences>
**How it works:** <numbered list of the core steps — the actual control flow, not a paraphrase of the SKILL.md's section headers>
**When it triggers:** <the trigger conditions, restated plainly, not copy-pasted from the description field>Phase 2 — Chart (diagram, opt-in)
Only produce this when the user asks for a "diagram"/"visual"/"plot," or the skill's control flow has real branching/looping (conditional paths, an iterate-until-satisfied loop, parallel subagent fan-out) that prose genuinely struggles to convey. Skip it for simple linear skills — a 4-step straight line doesn't need a picture, even a rule-heavy one: a single read-apply-rules-output pass (many rules, one pass) still doesn't qualify. A phase-selection branch combined with multi-target delegation (skill-doctor's own shape, for instance) does.
When producing one: delegate to content-diagrams, requesting its in-article explanatory diagram treatment — let it own the exact sizing/format spec rather than restating it here, since that's its detail to maintain. Brief it with the skill's actual control-flow shape — pipeline, decision tree, iteration loop, fan-out/fan-in — so the motif matches the real structure instead of defaulting to a generic flowchart. If content-diagrams isn't available as a tool in this session, say so and skip the diagram rather than sketching one yourself.
Phase 3 — Examine (review)
Two independent lanes. Keep each to a tight pros/cons list — bullets, not paragraphs.
Design-quality lane (self-contained; check against these, drawn from skill-creator's own authoring principles):
- Trigger description: specific and appropriately assertive, covers both what and when in the description field itself
- Progressive disclosure: SKILL.md body reasonably lean, with heavy content pushed to
scripts//references/rather than bloating the body - Scope discipline: does it overlap or conflict with another installed skill's territory
- Test coverage: does it have (or plainly need) verifiable eval cases, or is its output too subjective for that
- Writing style: imperative, explains why rather than leaning on rigid ALL-CAPS musts
Domain/technical-accuracy lane:
- Split checkable claims by what actually verifies them — these are different jobs, don't route both through the same tool:
- Claims about the external world (version numbers, named APIs/tools/standards, general technical facts) → hand to
fact-checker, report its verdicts. Iffact-checkerisn't available as a tool in this session, say so and skip this part rather than eyeballing a verdict yourself. - Claims about a sibling skill's own documented behavior (e.g. "hands off to skill-creator's update path," "matches content-diagrams' sizing convention") → verify by reading that sibling skill's file directly. Fact-checker has no web-sourced answer for another skill's internal instructions.
- Claims about the external world (version numbers, named APIs/tools/standards, general technical facts) → hand to
- Separately, judge what neither of the above covers: does the procedure itself hold together logically — step order, missing edge cases, a workflow that wouldn't actually produce the claimed output. Flag these as your own judgment calls, clearly separated from the two verified categories above.
- If a skill has no checkable claims of any kind (pure style/methodology skills, for instance), say so plainly instead of forcing a fact-checker call or manufacturing a verdict.
Phase 4 — Proposed enhancements
Ranked list, each entry one line: [High/Med/Low impact] [design | domain] <the fix>. Rank by impact, not by which lane found it. Cap at 5–7 items — if Examine surfaced more than that, keep only the ones that actually change behavior or correctness, not stylistic nitpicks.
Close the phase with one overall health rating: Poor / Fair / Good / Very good / Excellent, plus a single sentence naming what's driving it. This is a holistic call on the skill as a whole — weigh Examine's findings against how much the enhancement list actually matters, not a mechanical average of bullet counts. A skill with one high-impact gap can rate lower than one with several trivial ones.
Phase 5 — Treat (implement, opt-in)
Only if the user says to go ahead ("make these changes," "update it," "fix #2 and #4"). Don't implement directly, and don't restate skill-creator's update mechanics here either — that's a second copy of logic that will drift the moment skill-creator's own instructions change. Tell the user you're handing off, then invoke skill-creator and follow whatever its current update-an-existing-skill instructions say. If skill-creator isn't available as a tool in this session, say so and stop rather than editing the skill yourself.
Output discipline
- Every phase output must be accurate over comprehensive — if a claim can't be verified, say so rather than filling the gap with a plausible-sounding guess.
- No section is mandatory beyond what was asked for or what "full report" requires. Don't pad Diagnose with restated frontmatter, don't pad Examine with restating the skill's own text back at the user.
- If a phase has nothing to report (e.g. Proposed enhancements finds no real issues), say that in one line instead of manufacturing filler suggestions.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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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.
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