Community catalogue of public Claude Code mods (function hooks), scanned from GitHub with what each mod can read, write, run or send over the network. Browse https://mods.aidojo.si/
Quelle
GitHub
Sprache
JavaScript
Domänen
Agenten, Skills und MCP
Einsatzzwecke
Agenten-Skills, Code-Assistenten
Momentum957 Tage · Gemessen+325,27% relative Änderung
Eleven free Claude skills that run a LinkedIn account: posts off 21 hook formulas, comments, replies, profile score, weekly plan, and a humanizer that strips the AI fingerprint and scores the draft before it goes out.
Quelle
GitHub
Sprache
Python
Domänen
Agenten, Skills und MCP
Einsatzzwecke
Agenten-Skills, Code-Assistenten
Momentum93,67 Tage · Gemessen+47,08% relative Änderung
Claude Code skill for short films with no video model: 43 film styles, each a style prompt plus a demo film made entirely in code by Claude Opus 5.5 (incl. OPUSCAR 98). By Lemomo. | Opus5.5 x 43 种影片风格:风格提示词 + 纯代码样片 + 导演与技术指南
Quelle
GitHub
Sprache
JavaScript
Domänen
Agenten, Skills und MCP
Einsatzzwecke
Agenten-Skills, Code-Assistenten
Momentum93,67 Tage · Gemessen+50,11% relative Änderung
Free SEO MCP server + open-source SEO and GEO skills for Claude: keyword research, rank tracking, audits, backlinks, AI visibility on your real GSC/GA4/ads data. claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp
Quelle
GitHub
Sprache
Shell
Domänen
Agenten, Skills und MCP, KI / LLM
Einsatzzwecke
Agenten-Skills, Code-Assistenten
Momentum92,17 Tage · Gemessen+39,47% relative Änderung
Intent compiler for AI agents — converges vague requests into typed IntentSpec contracts (probe, ask, or halt before routing), the input layer for routers and typed-decision models like Jev & Laya
Quelle
GitHub
Sprache
Python
Domänen
Agenten, Skills und MCP
Einsatzzwecke
Agenten-Skills, Code-Assistenten
Momentum91,47 Tage · Gemessen+54,05% relative Änderung
Autoharness — a self-learning skill layer for Claude Code — distills skills from your real sessions, updates them as you work, and prunes the ones that stop getting used. No daemon, no benchmark.
Quelle
GitHub
Sprache
Python
Domänen
Agenten, Skills und MCP
Einsatzzwecke
Agenten-Skills, Code-Assistenten
Momentum90,77 Tage · Gemessen+33,49% relative Änderung