Skill 디렉토리

AI Agent를 위한 재사용 가능한 Skill을 찾으세요.

작업으로 실제 GitHub Skill을 검색하고 사용 전에 Stars, 신뢰, 감사, 카테고리, 설치 경로를 확인하세요.

모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.

검색 결과: agent-nodes

영문 디렉토리

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
신뢰
카테고리: rag-knowledge감사

A JavaScript library aimed at visualizing graphs of thousands of nodes and edges

12K
Stars
87/100
신뢰
카테고리: data-analysis감사

Kubernetes WithOut Kubelet - Simulates thousands of Nodes and Clusters.

3.1K
Stars
76/100
신뢰
카테고리: devops감사

ScopeSentry-Cyberspace mapping, subdomain enumeration, port scanning, sensitive information discovery, vulnerability scanning, distributed nodes

1.5K
Stars
76/100
신뢰
카테고리: web-automation감사

A kubernetes operator for creating and managing a cache of container images directly on the cluster worker nodes, so application pods start almost instantly

1.4K
Stars
83/100
신뢰
카테고리: devops감사

Give your AI agent n8n superpowers. 537 nodes with full schemas, 7,700+ templates, Git-like sync, and TypeScript workflows.

1.4K
Stars
84/100
신뢰
카테고리: automation감사

Debugging tool for Kubernetes which tests and displays connectivity between nodes in the cluster.

2.7K
Stars
83/100
신뢰
카테고리: devops감사

Terminal-first, knowledge-grounded multi-agent software delivery pipeline: scope requirements, implement changes, run tests, and gate pull requests with deterministic QA and ensemble code review.

137
Stars
73/100
신뢰
카테고리: utility감사

Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.

34K
Stars
77/100
신뢰
카테고리: research감사

Use when the user needs something that ships outside cognee core — community database adapters (Qdrant, Milvus, Weaviate, Redis, Pinecone, FalkorDB, Memgraph, DuckDB, NetworkX, …), data-source connectors (Slack, Gmail, Notion, Confluence, Google Drive), custom tasks/pipelines/retrievers (Exa, ScrapeGraph, codify), Keywords AI observability — or wants to contribute a package to the cognee-community repo.

30K
Stars
74/100
신뢰
카테고리: research감사

Create branded architecture, IT current-state, flowchart, sequence, state machine, ER/data model, timeline, swimlane, quadrant, radar/spider, polar chart (polar/radial lollipop), loop/flywheel, nested, tree, org chart, layer stack, Venn, pyramid/funnel, treemap, bar, line, Gantt and scatter charts, high-level, process, medallion, data flow, DP integration, DP security matrix, Sankey, fishbone, Wardley map, kanban, user journey, deployment, dependency graph, UML class, story map, or database schema diagrams as standalone HTML/SVG/PNG. Redraw .drawio/.drawio.png/.drawio.svg or Mermaid .mmd sources at a chosen size/detail; onboard brand tokens from a website; add semantic patterns, callouts, accessible motion, or sketchy/hand-drawn styling.

24K
Stars
75/100
신뢰
카테고리: security감사