Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

Cari skill GitHub nyata berdasarkan tugas lalu periksa stars, trust, audit, kategori, dan jalur pemasangan sebelum digunakan.

Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.

Hasil pencarian: adamant-nodes

Direktori bahasa Inggris

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
Kepercayaan
Kategori: rag-knowledgeAudit

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

12K
Stars
87/100
Kepercayaan
Kategori: data-analysisAudit

Kubernetes WithOut Kubelet - Simulates thousands of Nodes and Clusters.

3.1K
Stars
76/100
Kepercayaan
Kategori: devopsAudit

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

1.5K
Stars
76/100
Kepercayaan
Kategori: web-automationAudit

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
Kepercayaan
Kategori: devopsAudit

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
Kepercayaan
Kategori: automationAudit

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

2.7K
Stars
83/100
Kepercayaan
Kategori: devopsAudit

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
Kepercayaan
Kategori: utilityAudit

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
Kepercayaan
Kategori: researchAudit

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
Kepercayaan
Kategori: researchAudit

ADAMANT Blockchain Node

926
Stars
72/100
Kepercayaan
Kategori: legal-complianceAudit