38,263 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Use this rule to learn how external tools are integrated via MCP, find the MCP host code and server configuration file, identify built-in and external (E5 embedding) servers, and trace how Gemini function calls are executed as MCP tool requests.
Create flexible annotation workflows for AI applications. Contains common tools to explore raw ai agent logs/transcripts, extract out relevant evaluation data, and llm-as-a-judge creation.
Isolate read-only CCG search, documentation discovery, and analysis by namespace. Use when working across multiple repositories or services, preventing cross-project graph leakage, federating supported reads, or traversing materialized cross-namespace references. Do not use for graph writes or scoped updates; the user…
Collection of example skills demonstrating various capabilities including skill creation, MCP building, visual design, algorithmic art, internal communications, web testing, artifact building, Slack GIFs, and theme styling.
★not rated 17 18d agoA
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originalApache-2.0
A product-building guide with two modes: it chooses the right skill before a task and suggests the next step after one is finished. It covers the stages of clarifying an idea, building the product, and getting it running.
Use when the user wants to package a repetitive business process for AI automation, needs to create an SOP from scratch, or asks how to make AI understand their daily workflow.
A self-contained, reliability-first agent development flow — grill a decision until it holds, turn it into a spec, and build it under deterministic gates. Plug-and-play skills, not vibe coding.
★not rated 17 1mo agoA
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originalMIT
Orchestrates the full Ralph autonomous agent pipeline from requirements gathering to execution. Use when building new features, platforms, or complex tasks that need structured development through spec-interview, PRD generation, and autonomous implementation.
Cross-Claude MCP — the ONLY remaining use is reaching an AI that native SendMessage cannot address: a non-Claude-Code participant (ChatGPT, Claude.ai, Claude Desktop) or an AI on someone else's machine. Every Claude-Code-to-Claude-Code case, including spawning a peer in another project, goes to the native…
MCP server "enhanced-sequential-thinking-server" as configured in VitalyMalakanov/mcp-thinking. Runs locally from the enhanced-sequential-thinking-server Python package.
★not rated 17 1y agoA
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originalMIT
10 Fable 5-native Agent Skills for Claude, updated for Fable 5.1 — fix over-planning, gold-plating and test bloat, fabricated progress reports, unrequested actions, stalled autonomous runs, and silent tool loops. Includes skill-refactorer for migrating pre-Fable-5 skills and re-checking Fable 5 skills on 5.1.
★not rated 17
changed 11d agoA
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originalMIT
Self-improving tool discovery for AI agents. Find, install, and use new MCP servers automatically. Runs locally from the forage-mcp npm package.
★not rated 17▲
+1 6mo agoA
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originalMIT
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: