モメンタム: 26.7+2.63%実測 · 7 日26.7+2.63%
tiramisu
The most advanced BitTorrent engine and FUSE virtual filesystem for live streaming to your private Plex or Jellyfin library. MCP ready. Forget Real-Debrid.
エージェント・スキル・MCP
エージェント・スキル・MCP分野の測定済みカタログ項目です。
結果は「エージェント・スキル・MCP」内に限定されます。代わりに検索： カタログ全体
測定済みカタログ項目 39,696 件
3,970ページ中167ページ- モメンタム: 26.7+5.41%実測 · 7 日26.7+5.41%
ads-skills
Claude skills to run ads: advertising & marketing strategy, campaign structure, targeting, creative, and budgets for Google Ads, Meta Ads, TikTok & more.
- モメンタム: 26.7+5.41%実測 · 7 日26.7+5.41%
ClaudeSkills
Skills for Claude.ai and Claude Code
- モメンタム: 26.7+9.09%実測 · 7 日26.7+9.09%
skills-optimizer
Compress Claude Code agents & skills with semantic verification — 6:1 compression, 100% semantic preservation
- モメンタム: 26.7+9.09%実測 · 7 日26.7+9.09%
Coding-Agent-Rules-for-Data-Science
Point your AI coding agent at this repo and it installs a personalized ruleset for reproducible, analysis-first data science in R and Python — environmental, ecological, and geospatial.
- モメンタム: 26.6+0.86%実測 · 7 日26.6+0.86%
AgentChat
AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。
- モメンタム: 26.6+1.47%実測 · 7 日26.6+1.47%
offensive-claude
Offensive security toolkit for Claude Code covering red team, exploit dev, AD attacks, EDR bypass, mobile pentest
- モメンタム: 26.6+1.92%実測 · 7 日26.6+1.92%
grace-marketplace
GRACE (Graph-RAG Anchored Code Engineering): open Agent Skills for contract-driven AI code generation with semantic markup, knowledge graphs, and support for Claude Code, Codex CLI, and Kilo Code.
- モメンタム: 26.5+1.9%実測 · 7 日26.5+1.9%
ai4s-skills
Open-source agent skills for AI for Science: topic exploration, literature survey, experiments, paper writing, and integrity audit — driven by any coding agent.
- モメンタム: 26.5+2.56%実測 · 7 日26.5+2.56%
iso-24495-skill
ISO 24495-1 plain language rules as a Claude Code skill — bilingual: English + Traditional Chinese (繁體中文淺白改寫). Reader-outcome rewriting: relevant, findable, understandable, usable.