finding-skills
Skill158 starsChanged 8 months agoMITView on GitHub
Discover and load skills on demand from /mnt/skills/user/. Use when you need a capability but don't know which skill provides it, when the boot-emitted skill list is names-only and you need a full description, or when you want to list the catalog. Verbs are list (names only), search (rank by name/description match against a query), and show (emit the full SKILL.md for a named skill).
1 other project uses a version of this.
Adopted by
Most recently taken up by
- skillselion/skillselion-plugintheir own version, first seen Aug 12, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- skillselion/skillselion-plugin★ 0same name
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 repository113 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- accessing-github-reposSkill
- agent-routingSkill
- animating-with-codeSkill
- api-credentialsSkill
- asking-questionsSkill
- assessing-impactSkill
- atprotoingSkill
- bm25Skill
- browsing-blueskySkill
- building-github-indexSkill
- building-github-index-v2Skill
- categorizing-bsky-accountsSkill
- challengingSkill
- chartingSkill
- charting-vega-liteSkill
- check-toolsSkill
- cloning-projectSkill
- closing-issuesSkill
- coding-mojoSkill
- compiling-wgslSkill
- composing-htmlSkill
- configuringSkill
- container-layerSkill
- controlling-spotifySkill
- convening-expertsSkill
- converting-filesSkill
- crafting-instructionsSkill
- creating-bookmarkletsSkill
- creating-kbSkill
- creating-mcp-serversSkill
- creating-skillSkill
- creating-videoSkill
- deciding-with-confidenceSkill
- declaring-invariantsSkill
- declaudingSkill
- delegating-with-contextSkill
- describing-productsSkill
- detecting-tips-zonesSkill
- developing-preactSkill
- dispatching-subagentsSkill
- down-skillingSkill
- drawing-videoSkill
- drawing-with-pycairoSkill
- dunking-anonymouslySkill
- exploring-codebasesSkill
- exploring-dataSkill
- extracting-keywordsSkill
- featuringSkill
- fetching-blocked-urlsSkill
- flowingSkill
- forecasting-reversoSkill
- gatingSkill
- generating-patchesSkill
- generative-thinkingSkill
- githubbingSkill
- hallucinating-labelsSkill
- hello-demoSkill
- image-to-svgSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
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 39
Follow the SKILL.md's instructions (which may point at scripts/, references/, etc.)
- Distinctive: line 41
Stop at step 1 if none of the candidates fit — don't shoehorn an unrelated skill onto the task.
- Very specific: line 57
All three are line-oriented so they compose with grep, head, etc.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Finding Skills
Skills on disk at /mnt/skills/user/ are a catalog — too expensive to preload as descriptions in every session's context. This skill is the on-demand accessor, analogous to Anthropic's ToolSearch for MCP tools.
Usage
PY=/home/user/.spokes/claude-skills/finding-skills/scripts/skills.py
# List every skill by name (cheap, ~1.4KB)
python3 "$PY" list
# Search by keyword — ranks name matches above description matches
python3 "$PY" search "adversarial review"
# Load the full SKILL.md of a specific skill
python3 "$PY" show challengingIn a live CCotw session the script lives at /mnt/skills/user/finding-skills/scripts/skills.py.
When to reach for this
- You have a task where a skill might help but no obvious name comes to mind →
search <keywords> - The boot emitted names-only and you want the description of a candidate →
show <name> - You want catalog breadth before picking an approach →
list
Pattern
search "<what you want to do>"— get 3–10 ranked candidatesshow <top-pick>— read its SKILL.md- Follow the SKILL.md's instructions (which may point at
scripts/,references/, etc.)
Stop at step 1 if none of the candidates fit — don't shoehorn an unrelated skill onto the task.
Ranking
- Exact match on skill name: 100
- Substring match on skill name: 10
- Substring match in description: 1 per match (multiple hits compound)
Case-insensitive throughout. Results sorted high-to-low, ties broken by name.
Output format
list: one skill name per linesearch: tab-separated<name>\t<description (truncated to 200 chars)>, one per lineshow: raw SKILL.md contents to stdout; exit 1 with a stderr message if not found
All three are line-oriented so they compose with grep, head, etc.
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.

