mcp
Skill480 starsChanged 3 months agoMITView on GitHub
Use tree-sitter-language-pack mcp reference documentation.
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 18 edited versions we read keep these.
0
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
- Very specific: line 13
Use this skill when integrating tree-sitter-language-pack through Model Context Protocol tools, prompts, or resources.
“Common” is measured: kept by at least 6 in 10 of the 18 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
<!-- This file is auto-generated by alef — DO NOT EDIT. --><!-- alef:hash:0d9d6e5ae7656e342db4c129d1eabd1ecab3e24a92346809cf7c5ddf850c2f85 --><!-- To regenerate: alef docs --><!-- To verify freshness: alef verify -->tree-sitter-language-pack MCP Reference
Use this skill when integrating tree-sitter-language-pack through Model Context Protocol tools, prompts, or resources.
cache_dir: Return the effective parser cache directory path.clean_cache: Delete all cached parser libraries from the cache directory.detect_language: Detect the language for a file path or source content. Returns the detected language name.download: Download parser libraries from the remote registry. Pass languages list, groups, or all=true. Set fresh=true to clean the cache first.info: Show whether a language is known, downloaded, and its cache path.list_languages: List languages. source: 'available' (default), 'downloaded', or 'manifest'. Optional substring filter.parse: Parse source code with a tree-sitter grammar. Returns the syntax tree as sexp or JSON.process: Run the code-intelligence pipeline on source code. Extracts structure, imports, exports, symbols, and more.
Other versions22 projects use a version of this.
Word for word · 0
None found.
Edited · 3
- Goldziher/html-to-markdown★ 88817% same
- kreuzberg-dev/html-to-markdown★ 88117% same
- kreuzberg-dev/liter-llm★ 26310% same
Wrote their own version · 19
- clockworklabs/SpacetimeDB★ 25ksame name
- PrimeIntellect-ai/prime-agent★ 22ksame name
- vercel-labs/json-render★ 19ksame name
- overmind-core/overmind★ 738same name
- boldsoftware/shelley★ 713same name
- Piebald-AI/splitrail★ 227same name
- nitinjain999/platform-skills★ 71same name
- ulises-jeremias/agent-toolkit★ 19same name
- iuliandita/skills★ 10same name
- seva8756/agentur-agent★ 9same name
9 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.
Used alongsideProjects with it also use frontend-design.
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.
BlockSkillfrontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Also in 3 projects that use this
In this repository15 other files it gives its agents.
- apiSkill
- cliSkill
- mcpSkill
- apiSkill
- cliSkill
- mcpSkill
- apiSkill
- cliSkill
- tree-sitter-language-pack-chunking-for-llmsSkill
- tree-sitter-language-pack-detecting-languagesSkill
- tree-sitter-language-pack-extracting-code-structureSkill
- tree-sitter-language-pack-managing-parsersSkill
- tree-sitter-language-pack-parsing-sourceSkill
- tree-sitter-language-packSkill
- tree-sitter-language-pack-using-the-mcp-serverSkill
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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- 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.