Skills, subagents, slash commands, hooks, settings, plugin bundles and MCP servers that install into Claude Code. 379,331 indexed, measured the same four ways as everything else here.
Conclave — Multi-LLM Council with anonymized debate. Orchestrates multiple AI models (Claude, Gemini, GPT, Grok, Llama, etc.) in a Karpathy-style council with 3 depth levels: quick (parallel answers), standard (parallel + synthesis), deep (parallel + anonymized cross-critique with ranking + debate synthesis). Inspired…
MCP server "local-knowledge-rag" as configured in patakuti/local-knowledge-rag-mcp. Runs /path/to/local-knowledge-rag-mcp/dist/mcp-server.js with node. Needs 3 environment variables to run.
★not rated 9 13d agoA
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originalMIT
Comprehensive paid advertising audit and optimization for any business type. Performs full multi-platform audits (Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Microsoft Ads), single-platform deep analysis, conversion tracking health checks, creative quality assessment, budget allocation optimization, bidding…
Manage the Claude Code skills installed on this machine — list, inspect, disable, enable, or remove skills across user-level, project-level, and plugin-level sources. Use this skill when the user asks to: see / list / show all installed skills; check what skills they have; inspect a specific skill's trigger…
Query the mcp-memory-service to retrieve stored facts, decisions, notes, and session learnings. Use this skill whenever the user asks what you remember, wants to recall past decisions or conventions, asks "do you know anything about X", references "last time we discussed", says "check your memory", "look in memory"…
Deep reference for caching — what to cache, cache-aside vs read/write-through/write-behind, TTLs with jitter, eviction (LRU/LFU/FIFO), invalidation, and surviving stampedes (thundering herd / dogpile). Worked examples and a runnable jitter check.
End-to-end Peec AI project setup — competitor discovery from real AI chats, customer-journey prompt design across Awareness → Consideration → Decision → Retention, topic/tag taxonomy, GSC-based keyword mapping, forum pain-point mining (Reddit, Gutefrage, t3n, OMR), and a categorized executable backlog. Use when the…
Use when users need deep data analysis (multi-round SQL queries, aggregations, trend comparisons) or want to persist data (Excel / CSV / API / database) as long-lived, cross-platform structured assets — typical scenarios include: complex or recurring data analysis, accessing the same data across multiple Agents /…
★not rated 9 1mo agoA
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originalApache-2.0
7 specialist agents (PO, Scrum Master, Dev, QA, PR Reviewer, Security, Tech Lead) + 30 slash commands for collaborative agile ceremonies with persistent team memory. Works with any language or framework.
MCP server for Motor Current Signature Analysis (MCSA) — spectral analysis, fault frequency calculation, and fault detection in electric motors. Runs locally from the mcp-server-mcsa Python package.
★not rated 9 4mo agoA
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originalMIT
Agent-first cross-platform file operations CLI. Use when AI Agent needs local file operations (zip/unzip/info/read) or cloud storage operations (upload/download/list) with S3-compatible providers.
★not rated 9 7mo agoC40 tokens
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: