Skills, subagents, slash commands, hooks, settings, plugin bundles and MCP servers that install into Claude Code. 381,711 indexed, measured the same four ways as everything else here.
Automatically routes any user prompt to the best matching installed skill AND activates the right mode — ponytail-code for code tasks (lazy senior dev, YAGNI ladder, smallest diff) or caveman-chat for everything else (terse prose only). Zero manual invocation. Works with Claude, Codex, Cursor, OpenCode, Gemini CLI.
Portable user-context for AI tools. Read identity, voice, and preferences from /.me/ at session start. The /me slash command manages content. Reference implementation of the dot-me v0.3 spec.
★not rated 3 2mo agoA
tokens not measured
originalMIT
Propose a reviewable multi-agent workflow as a blueprint — pick and name the pattern (map-reduce, pipeline, tournament, loop-until-dry, dag), emit its shape as an agentstack-blueprint JSON block, and WAIT for the user to approve / reject / edit before authoring and running it via agentstack more workflow run.
MeshLedger's dispute resolution agent. Evaluates disputes between customer and deliverer agents based on the job spec, deliverable, and evidence. Rules strictly on data — the spec is the contract.
Find your first SaaS users by searching Reddit, X, YouTube, LinkedIn, and Bluesky for people already describing the problem your product solves. Ranks every result by buying intent and drafts platform-tuned outreach. Backed by the Gorilla API at https://usegorilla.app.
Turns Claude Code into a full product-development toolkit: an opinionated plan → verify → commit engineering workflow, specialized subagents for legal compliance, UX design, backend/frontend/cloud architecture, Go/Java/TypeScript implementation, DevOps/infrastructure (Terraform, Kubernetes, Docker, AWS/Azure/GCP), and.
★not rated 3
changed 20d agoA
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originalMIT
MCP server "geond" as configured in geondongkim/geond-agent-protocol. Launched with uv --directory C:/path/to/geond-agent-protocol run geond-mcp. Needs 5 environment variables to run.
★not rated 3 1mo agoA
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originalApache-2.0
A recipe for building a model of a user's preferences from an AI agent's conversation logs. It organizes decisions and outcomes into files that can inform memory, rules, or system prompts.
Coordination strategies for AI agents working in parallel or hierarchically — 5 multi-agent patterns (Epstein, Hierarchy, Stigmergy, Consensus, Specialist). Bundled dependency of build-your-users-mind; its stage-2 classification uses Hierarchy + Stigmergy.
Measurement-driven model router for Claude Code. Classifies every task by type — mechanical, execution, review, planning — and routes it automatically to Haiku, Sonnet, Opus, or Fable. Measures real dollars saved per session.
★not rated 3 1mo agoA
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originalMIT
Use Novada MCP tools for web tasks. Covers tool selection (search vs extract vs crawl vs map vs research), key parameters, common workflows, and when NOT to call each tool. Trigger: any task requiring web data, content extraction, site crawling, or multi-source research.
MCP server "heatpump-calculator" as configured in jiweiqi/heatpump-mcp-server. Runs locally from the . Python package. Needs 3 environment variables to run.
★not rated 3 12mo agoA
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originalMITarchived
An operations assistant for deploying services, setting up monitoring, scheduling backups, and diagnosing faults. It includes checks, confirmation prompts, dry runs, snapshots, rollback commands, and audit logs.
A Chinese-language companion skill that responds in the style of an MBTI personality type. MBTI is a system that groups personality preferences into sixteen types.
Transform rough ideas into structured, ultra-cinematic Veo 3 video-generation prompts. Use when the user wants to write, improve, or direct a prompt for Veo 3 (or similar cinematic video generators) — fashion films, music visualizers, runway films, beauty editorials, or narrative scenes. Triggers on "Veo 3 prompt"…
Use this agent when the user needs AWS-specific technology research using the AWS Knowledge MCP server to match project requirements to AWS services, architecture patterns, Well-Architected guidance, and Security Hub controls. Examples: Context: User has a project with requirements and wants AWS service…
Expert knowledge for building Quarkus applications with Bazel using the rulesquarkus build system. Use when user asks about Quarkus+Bazel builds, augmentation, or troubleshooting.
Use when starting any development task — bug fix, feature, or refactor.
★not rated 3 3mo agoA15 tokens
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: