mcp
Skill261 starsChanged 3 months agoMITView on GitHub
Use liter-llm 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 liter-llm 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:b284de2d4d7b58d2c9fabcd28373994279620f54d91dce8009d4c2c18921ff8c --><!-- To regenerate: alef docs --><!-- To verify freshness: alef verify -->liter-llm MCP Reference
Use this skill when integrating liter-llm through Model Context Protocol tools, prompts, or resources.
cancel_batch: Cancel an in-progress batch processing jobcancel_response: Cancel an in-progress response (Responses API)chat: Send a chat completion request to an LLMcreate_batch: Create a new batch processing jobcreate_file: Upload a file to the LLM providercreate_response: Create a new response (Responses API)delete_file: Delete an uploaded fileembed: Generate text embeddings for the given inputfile_content: Retrieve the raw content of an uploaded filegenerate_image: Generate images from a text promptlist_batches: List batch processing jobslist_files: List uploaded fileslist_models: List available models from configured providersmoderate: Check content against moderation policiesocr: Extract text from an image or document via OCRrerank: Rerank documents by relevance to a queryretrieve_batch: Retrieve a batch processing job by IDretrieve_file: Retrieve metadata for an uploaded fileretrieve_response: Retrieve a response by ID (Responses API)search: Perform a web or document searchspeech: Generate speech audio from text (text-to-speech)transcribe: Transcribe audio to text (speech-to-text)
Other versions22 projects use a version of this.
Word for word · 0
None found.
Edited · 3
- Goldziher/html-to-markdown★ 88117% same
- kreuzberg-dev/html-to-markdown★ 88117% same
- kreuzberg-dev/tree-sitter-language-pack★ 47614% 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★ 704same 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 repository13 other files it gives its agents.
- llms.txtllms.txt
- apiSkill
- cliSkill
- mcpSkill
- apiSkill
- cliSkill
- liter-llm-calling-llmsSkill
- liter-llm-embeddings-and-searchSkill
- liter-llm-running-the-proxySkill
- liter-llmSkill
- liter-llm-streaming-responsesSkill
- liter-llm-tool-callingSkill
- liter-llm-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.
Reviews can't be read right now.
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.