Skill-Verzeichnis

Wiederverwendbare Skills für AI Agents entdecken.

Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.

Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.

Suchergebnisse: chunk

Englisches Verzeichnis

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

30K
Stars
87/100
Trust
Kategorie: rag-knowledgeAudit

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

34K
Stars
77/100
Trust
Kategorie: data-analysisAudit

SEOBuild Onpage - The first AI agent that writes pages Google ranks AND LLMs cite. One command in, ranking page out. Built on DeerFlow, powered by 2026 SEO + GEO strategies tested / working. Forensic competitive analysis, 500-token chunk architecture, entity consensus, verification tags. BYOK GSC, DataforSEO. Works w/ OpenClaw, Claude Code, Codex

218
Stars
62/100
Trust
Kategorie: growth-marketingAudit

Use when working with Neo4j command-line tools — neo4j-cli (modern unified

101
Stars
58/100
Trust
Kategorie: automationAudit

A Python CLI to test, benchmark, and find the best RAG chunking strategy for your Markdown documents.

111
Stars
63/100
Trust
Kategorie: rag-knowledgeAudit

Use Wanta WikiGraph knowledge contexts through the managed wg command.

63
Stars
61/100
Trust
Kategorie: researchAudit

Raise real concurrency in asyncio LLM batch scorers built on the OpenAI SDK (AsyncOpenAI, including OpenAI-compatible providers like DeepSeek). Use when: (1) raising an asyncio.Semaphore above ~100 produces no throughput gain, (2) a batch pipeline saturates near 100 in-flight requests despite a larger semaphore, (3) planning a high-concurrency campaign against a provider with no hard rate limit (DeepSeek v4-flash tolerates 2000+ in flight). Root cause: AsyncOpenAI's default httpx pool caps max_connections at 100, silently bottlenecking any larger semaphore — you must pass a custom http_client with httpx.Limits sized to the semaphore.

47
Stars
67/100
Trust
Kategorie: design-creativeAudit

🏞 Steganography-based image integrity - Merkle tree nodes embedded into image chunks so that each chunk's integrity can be verified on its own.

106
Stars
62/100
Trust
Kategorie: web3-analyticsAudit

Analyze Hacker News thread sentiment from a provided HN thread URL.

12
Stars
53/100
Trust
Kategorie: automationAudit