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Skills, MCP servers, prompts, assistants and connectors. Every listing shows its author, version and the permissions it needs.
On the shelves20,989
- MCP servers18,838
- Skills1,282
- Assistants651
- Prompts218
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Agents
anthropics 38kSession ReportGenerate an explorable HTML report of Claude Code session usage (tokens, cache, subagents, skills, expensive prompts) from ~/.claude/projects transcripts.SkillNode.jsAgents
obra 297kExecuting PlansUse when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is availableSkillNo codeAgents- obra 297kSubagent-Driven DevelopmentUse when executing implementation plans with independent tasks in the current sessionSkillNo codeAgents
muratcankoylan 18kLatent Briefing and KV Cache Memory SharingThis skill should be used when the user asks to "share memory between agents", "KV cache compaction for multi-agent", "orchestrator worker context", "latent briefing", "reduce worker tokens", "cross-agent memory without summarization", or discusses Attention Matching compaction, recursive language models with workers, or token explosion in hierarchical agents.SkillNo codeMemoryAgents- msitarzewski 158kIdentity Graph OperatorOperates a shared identity graph that multiple AI agents resolve against. Ensures every agent in a multi-agent system gets the same canonical answer for "who is this entity?" - deterministically, even under concurrent writes.AssistantAgents
- anthropics 38kClaude Automation RecommenderAnalyze a codebase and recommend Claude Code automations (hooks, subagents, skills, plugins, MCP servers). Use when user asks for automation recommendations, wants to optimize their Claude Code setup, mentions improving Claude Code workflows, asks how to first set up Claude Code for a project, or wants to know what Claude Code features they should use.SkillNo codeAgents
- msitarzewski 158kAgentic Identity & Trust ArchitectDesigns identity, authentication, and trust verification systems for autonomous AI agents operating in multi-agent environments. Ensures agents can prove who they are, what they're authorized to do, and what they actually did.AssistantArchitectureAgents
llmsresearch 2.4kPaperBananaGenerate academic diagrams and statistical plots from text using multi-agent AI.MCPPythonResearchAgents- muratcankoylan 18kMulti-Agent Architecture PatternsThis skill should be used when designing multi-agent systems that need context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution, or a decision on whether multiple agents are justified.SkillPythonAgents
- msitarzewski 158kMulti-Agent Systems ArchitectSystems architect specializing in the design, coordination, and governance of multi-agent AI pipelines — covering topology selection, context management, inter-agent trust, failure recovery, human-in-the-loop gating, and observability for production-grade agent systems.AssistantMonitoringArchitectureAgents
alirezarezvani 28kRoast Judge AgentConvenes a 5-angle adversarial panel (Critic, Champion, Analyst, Investigator, Customer) on a business idea, then acts as the Judge to deliver one GO / RESHAPE / KILL verdict with the cheapest 48-hour test to de-risk it. Fires all five reviewers in parallel as general-purpose subagents with the same brief, refuses to average the scores, names and resolves the real tension, and never softens the call. Use to pressure-test or stress-test an idea before building it.AssistantOpusAgents
wshobson 40kTDD orchestratorMaster TDD orchestrator specializing in red-green-refactor discipline, multi-agent workflow coordination, and comprehensive test-driven development practices. Enforces TDD best practices across teams with AI-assisted testing and modern frameworks.AssistantOpusTestingCodingAgents- wshobson 40kTask Coordination StrategiesDecompose complex tasks, design dependency graphs, and coordinate multi-agent work with proper task descriptions and workload balancing. Use this skill when breaking down work for agent teams, managing task dependencies, or monitoring team progress.SkillNo codeMonitoringAgents
- muratcankoylan 18kLong-Horizon PromptingThis skill should be used when writing, enhancing, or evaluating the launch prompt for a long-running autonomous agent or a parallel multi-agent orchestration attacking a hard problem: pseudo-formal task briefs that define terms and an exact success predicate linguistically, enumerate non-counting outcomes, set persistence rules with explicit stop and return conditions and effort floors, manage a diverse portfolio of parallel approaches with an approach registry and blocked-route bookkeeping, and gate the return on adversarial audit. Route agent topology and coordination protocols to multi-agent-patterns, runtime control surfaces and loop governance to harness-engineering, evaluator and quality-gate construction to evaluation, judge design to advanced-evaluation, and compaction or memory mechanics to context-compression and memory-systems.SkillNo codeMemoryWritingAgents
- alirezarezvani 28kWorkflow BuilderDesign and write deterministic multi-agent workflow scripts (.js files in .claude/workflows/) for Claude Code's Workflow tool. Use when a user wants to build, create, author, scaffold, or run a custom Claude Code workflow, orchestrate sub-agents (fan-out, pipeline, loop, judge-panel), or automate a repeatable multi-step task across fresh-context agents.SkillNode.jsFilesAgents
- muratcankoylan 18kProject Development MethodologyThis skill should be used for project-level decisions about LLM-powered systems: whether an LLM is the right primitive for the task at hand, the shape of a multi-stage batch or agent pipeline, token and cost estimation, choosing between single-agent and multi-agent at the project level, structured output design for downstream parsing, and structuring agent-assisted iteration. Use this when the unit of work is a whole project or a multi-stage pipeline. Route individual tool design to tool-design and individual skill-loading or context-budget tactics to context-optimization.SkillPythonAgentsAI models
orchestra-research 13kCrewAI - Multi-Agent Orchestration FrameworkMulti-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies for lean, fast execution.SkillNo codeMemoryAgents- muratcankoylan 18kTool Design for AgentsThis skill should be used for the tool-interface layer of an agent system specifically: writing tool descriptions agents can route on, designing tool schemas and response formats, naming conventions, actionable error recovery messages, MCP server design, tool-set consolidation, and deciding when to add or remove an individual tool. Use this when the unit of work is a single tool or a set of tools. Route project-shape, pipeline architecture, and task-model-fit decisions to project-development; route deciding whether to introduce sub-agents to multi-agent-patterns.SkillPythonWritingAgents
trailofbits 7.4kSlicing Code ContextSelects bounded, graph-informed source slices with Trailmark and delegates focused code analysis or patch-proposal work to a smaller subagent. Use when offloading function-, class-, caller-, callee-, call-path-, entrypoint-, or line-focused code tasks to constrained or locally hosted models without exposing the full repository.SkillPythonAgents- wshobson 40kAI engineerBuild production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.AssistantSame as sessionAgentsAI models
- alirezarezvani 28kGit Worktree ManagerRun parallel feature work safely with Git worktrees. Standardizes branch isolation, port allocation, environment sync, and cleanup so each worktree behaves like an independent local app. Optimized for multi-agent workflows where each agent or terminal session owns one worktree. Use when running multiple feature branches simultaneously, isolating experimental work, or coordinating multi-agent development across the same repo.SkillPythonGit and GitHubAgents
- wshobson 40kContext managerElite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems. Orchestrates context across multi-agent workflows, enterprise AI systems, and long-running projects with 2024/2025 best practices.AssistantSame as sessionDatabasesMemoryAgents
- wshobson 40kTeam leadTeam orchestrator that decomposes work into parallel tasks with file ownership boundaries, manages team lifecycle, and synthesizes results. Use when coordinating multi-agent teams, decomposing complex tasks, or managing parallel workstreams.AssistantFableAgents
- alirezarezvani 28kAgent Workflow DesignerDesign production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.SkillPythonLegalCodingAgents