AgentCC Logo

AgentCC

Skills MCP Servers AI Tools
Home
Browse

wiki-llms-txt

1.6k
microsoftmicrosoft

Generates llms.txt and llms-full.txt files for LLM-friendly project documentation following the llms.txt specification. Use when the user wants to create LLM-readable summaries, llms.txt files, or make their wiki accessible to language models.

192 days ago

sniffable-python

30
SimHackerSimHacker

Structure Python so LLMs can understand it in 50 lines.

moollmpythonstructure+2
192 days ago

toon

6
georgekhananaevgeorgekhananaev

Token-Oriented Object Notation (TOON) format for LLM-optimized data encoding. Converts JSON to compact, human-readable format that minimizes tokens (~40% reduction) while improving LLM comprehension accuracy.

192 days ago

llm-doc-gen

6
tylerburleightylerburleigh

LLM-powered documentation generation for narrative architecture docs, tutorials, and developer guides. Uses AI consultation to create contextual, human-readable documentation from code analysis and spec data.

192 days ago

youtube-korean-transcript

cjjs201cjjs201

Extracts one readable markdown transcript from a YouTube URL or video ID using yt-dlp with Korean-first subtitle selection, then routes non-Korean output through an LLM translation workflow. Use when users ask to extract, structure, timestamp, or translate YouTube transcripts (especially into Korean).

192 days ago

FAQ

AgentCC is a discovery hub for AI agent capabilities. We index Agent Skills as the primary dataset, and also organize MCP servers and selected AI tools so developers can quickly find, compare, and evaluate what to integrate into their workflows.
An Agent Skill is a reusable capability package for an AI agent. It can define workflows, tool usage patterns, domain knowledge, or execution rules that help the agent perform more reliably in a specific task or environment.
AgentCC is a resource and discovery layer, not a one-click installer. On each skill page, you should review the repository, file tree, install command, and usage notes, then integrate it according to the runtime or client you are using.
No. AgentCC primarily indexes external repositories and metadata. We help you understand what a skill is, where it comes from, and how it may be used, but execution and security decisions still belong to your own runtime environment.
No directory can guarantee absolute safety. AgentCC can help surface repository links, file structures, and metadata, but you should still verify permissions, external dependencies, API usage, and code quality before using a skill in production or on sensitive machines.
Yes. AgentCC is designed to be an evolving resource graph. As the submission and curation workflow matures, contributors will be able to recommend high-quality skills, MCP servers, and AI tools into the directory.
Can't find your answer here? Get in touch

Explore

  • Skills Directory
  • MCP Servers
  • AI Tools
  • Changelog

Platform

  • About AgentCC
  • Privacy Policy
  • Terms of Service

Network

CS
ClawiSkill

Explore ClawiSkill for more agent-related content, projects, and community context.

onlinev0.1.0
AgentCC / The Agent Context Center
© 2026 AgentCC
llm-readable

Explore Skills

5 available
llm-readable
Sort by:
llm-readable