rag
Skill0 starsChanged 6 months agoMITView on GitHub
Store and retrieve knowledge documents using vector search.
7 other projects use a version of this.
Adopted by
Most recently taken up by
- phucbm/skillstheir own version, first seen Oct 13, 2026
- nimadorostkar/Claude-Skills-collectiontheir own version, first seen Oct 13, 2026
- urmzd/saigetheir own version, first seen Oct 9, 2026
- BULDEE/ai-craftsman-superpowerstheir own version, first seen Sep 21, 2026
- belos-street/skill-kittheir own version, first seen Sep 16, 2026
- hajekim/agentic-design-patterns-extensiontheir own version, first seen Apr 1, 2026
Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 7
- BULDEE/ai-craftsman-superpowers★ 35same name
- nimadorostkar/Claude-Skills-collection★ 33same name
- belos-street/skill-kit★ 8same name
- urmzd/saige★ 6same name
- hajekim/agentic-design-patterns-skills★ 4same name
- phucbm/skills★ 2same name
- hajekim/agentic-design-patterns-extension★ 1same 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 repository34 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .cursor/rules/stack.mdcCursor rule
- api_integrationSkill
- audio_transcriptionSkill
- auto_agentsSkill
- browserSkill
- code_analysisSkill
- code_executionSkill
- data_analystSkill
- deep_researchSkill
- docsSkill
- emailSkill
- git_integrationSkill
- gmailSkill
- google_sheetsSkill
- image_generationSkill
- messagingSkill
- notionSkill
- ocrSkill
- parsingSkill
- researchSkill
- rss_newsSkill
- schedulerSkill
- self_devSkill
- slidesSkill
- social_mediaSkill
- sql_dbSkill
- templateSkill
- translationSkill
- video_processingSkill
- visionSkill
- voice_ioSkill
- web3Skill
- web_automationSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
1
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 12
Delete Knowledge: Remove outdated documents
“Common” is measured: kept by at least 6 in 10 of the 4 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
RAG (Retrieval-Augmented Generation)
Store and retrieve knowledge documents using vector search.
Description
Enables the agent to maintain a persistent knowledge base. Documents are embedded and stored in ChromaDB for semantic search. When answering questions, the agent can search for relevant context to provide more accurate and informed responses.
Capabilities
- Add Knowledge: Store text documents with metadata (source, tags)
- Search Knowledge: Find semantically similar content by query
- List Knowledge: Browse all stored documents
- Delete Knowledge: Remove outdated documents
- Context Injection: Automatically injects relevant knowledge when answering user queries
Usage
# Add knowledge
tools.add_knowledge(content="Text content", source="url_or_filename")
# Search
results = tools.search_knowledge(query="What is X?", n_results=5)
# List all
docs = tools.list_knowledge()Embedded Model
- ChromaDB default: all-MiniLM-L6-v2 (384-dim, ONNX runtime)
- Storage:
data/chroma/
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.

