Agents
1,401 skills.
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phantom-ai-coworkerreason-machinesAI co-worker agent with its own computer, persistent memory, self-evolution, MCP server, and Slack/email identity built on Claude Agent SDKskillclaw-skill-evolutionreason-machinesFramework for collective skill evolution in multi-user LLM agent ecosystems — automatically distills session experience into reusable SKILL.md files and shares them across agent clusters.talk-normal-llm-promptreason-machinesSystem prompt toolkit that removes AI slop and makes any LLM respond like a normal person — concise, direct, no filler.weft-ai-languagereason-machinesExpert skill for building AI systems with Weft, a Rust-based programming language where LLMs, humans, APIs, and infrastructure are first-class primitives with typed connections and durable execution.weixin-agent-sdkreason-machinesBridge any AI agent backend to WeChat using the weixin-agent-sdk framework with simple Agent interface, login, and message loop.render-mcprender-ossConnects and configures the Render MCP server for AI coding tools—setup per tool (Cursor, Claude Code, Codex), authentication, workspace selection, tool catalog, and troubleshooting. Use when MCP is not configured, list_services() fails, the user asks about Render MCP setup, or an action skill needs MCP but it's not connected yet. Trigger terms: MCP, Render MCP, list_services, MCP setup, MCP server, OAuth, API key, Bearer token, mcp.render.com, workspace selection.archiveresciencelabArchive session learnings, debugging solutions, and deployment logs to .archive/yyyy-mm-dd/ as indexed markdown with searchable tags. Use when completing a significant task, resolving a tricky bug, deploying, or when the user says \"archive this\". Maintains .archive/MEMORY.md index for cross-session knowledge reuse.rivet-agentosrivet-devagentOS: A computer for every agent.alphaear-searchrkidingPerform finance web searches and local context searches. Use when the user needs general finance info from the web (Jina/DDG/Baidu) or needs to retrieve finance information from a local document store (RAG).hiverllm-orgRun the hive experiment loop — autonomous iteration on a shared task. Use when the agent is in a hive task directory and needs to run experiments, submit results, or participate in the swarm. Triggers on "hive", "run hive", "autoresearch", "start experimenting", "join the swarm", "start the loop", or when .hive/task file is detected.hive-create-taskrllm-orgDesign and create a new hive task through guided conversation. Walks the user through problem definition, eval design, constraint specification, repo scaffolding, baseline testing with iteration, and upload. Use when user wants to create a new task, add a benchmark, or publish a challenge to the swarm.hive-setuprllm-orgInstall hive-evolve, register an agent, clone a task, and prepare the environment. Use when user wants to set up hive, join a swarm, or get started with a task. Triggers on "setup hive", "join hive", "hive setup", or first-time hive requests.blender-skill-harmonizerroble3Harmonize multiple Blender skills into a coherent pipeline with clear activation precedence, handoff artifacts, dependency gates, and conflict-resolution rules. Use when a Blender task spans several skills, when reference-locked work conflicts with generic production workflow, after adding/updating skills, or when repeated failures indicate skill interference or missing inter/intra-play.fit-repair-optimizerroble3Turn multiview fit reports into a sequential or parallel repair queue for aligning Blender products to source-of-truth templates. Use after validation shows disalignment, when the agent must iteratively fix wireframe, texture, lighting, or projection mismatches, and when skill gaps should trigger self-refinement before another rebuild.quality-refinement-autolooproble3Run a self-refinement loop when a Blender result is subpar, user expectations are not met, validation fails, or repeated issues reveal missing skill depth. The loop diagnoses the gap, decides whether to repair the artifact or acquire/refine a generic skill, sanitizes lessons for reusable publication, updates docs/versioning, validates, and prepares stage/commit/push when explicitly requested.gauntlet-looprobonuggetsTurns any goal into one short, paste-ready "gauntlet loop" prompt - a prompt that makes an agent set a concrete quality bar, split the work into small judgeable pieces, run a builder and a separate harsh critic on each, compare blind against the bar, and loop until it wins. Works for builds, writing, code, research, or design. Triggers on "/gauntlet-loop", "gauntlet loop", "gauntlet this", "make a gauntlet prompt", "loop until it beats X".agent-adaptive-coordinatorruvnetAgent skill for adaptive-coordinator - invoke with $agent-adaptive-coordinatoragent-agentruvnetAgent skill for agent - invoke with $agent-agentagent-automation-smart-agentruvnetAgent skill for automation-smart-agent - invoke with $agent-automation-smart-agentagent-benchmark-suiteruvnetAgent skill for benchmark-suite - invoke with $agent-benchmark-suiteagent-byzantine-coordinatorruvnetAgent skill for byzantine-coordinator - invoke with $agent-byzantine-coordinatoragent-challengesruvnetAgent skill for challenges - invoke with $agent-challengesagent-code-goal-plannerruvnetAgent skill for code-goal-planner - invoke with $agent-code-goal-planneragent-coderruvnetAgent skill for coder - invoke with $agent-coderagent-collective-intelligence-coordinatorruvnetAgent skill for collective-intelligence-coordinator - invoke with $agent-collective-intelligence-coordinatoragent-consensus-coordinatorruvnetAgent skill for consensus-coordinator - invoke with $agent-consensus-coordinatoragent-coordinationruvnetAgent spawning, lifecycle management, and coordination patterns. Manages 60+ agent types with specialized capabilities. Use when: spawning agents, coordinating multi-agent tasks, managing agent pools. Skip when: single-agent work, no coordination needed.agent-coordinator-swarm-initruvnetAgent skill for coordinator-swarm-init - invoke with $agent-coordinator-swarm-initagent-crdt-synchronizerruvnetAgent skill for crdt-synchronizer - invoke with $agent-crdt-synchronizeragent-goal-plannerruvnetAgent skill for goal-planner - invoke with $agent-goal-planneragent-gossip-coordinatorruvnetAgent skill for gossip-coordinator - invoke with $agent-gossip-coordinatoragent-hierarchical-coordinatorruvnetAgent skill for hierarchical-coordinator - invoke with $agent-hierarchical-coordinatoragent-implementer-sparc-coderruvnetAgent skill for implementer-sparc-coder - invoke with $agent-implementer-sparc-coderagent-load-balancerruvnetAgent skill for load-balancer - invoke with $agent-load-balanceragent-matrix-optimizerruvnetAgent skill for matrix-optimizer - invoke with $agent-matrix-optimizeragent-memory-coordinatorruvnetAgent skill for memory-coordinator - invoke with $agent-memory-coordinatoragent-mesh-coordinatorruvnetAgent skill for mesh-coordinator - invoke with $agent-mesh-coordinatoragent-multi-repo-swarmruvnetAgent skill for multi-repo-swarm - invoke with $agent-multi-repo-swarmagent-neural-networkruvnetAgent skill for neural-network - invoke with $agent-neural-networkagent-orchestrator-taskruvnetAgent skill for orchestrator-task - invoke with $agent-orchestrator-taskagent-performance-analyzerruvnetAgent skill for performance-analyzer - invoke with $agent-performance-analyzeragent-performance-benchmarkerruvnetAgent skill for performance-benchmarker - invoke with $agent-performance-benchmarkeragent-performance-monitorruvnetAgent skill for performance-monitor - invoke with $agent-performance-monitoragent-performance-optimizerruvnetAgent skill for performance-optimizer - invoke with $agent-performance-optimizeragent-plannerruvnetAgent skill for planner - invoke with $agent-planneragent-production-validatorruvnetAgent skill for production-validator - invoke with $agent-production-validatoragent-queen-coordinatorruvnetAgent skill for queen-coordinator - invoke with $agent-queen-coordinatoragent-quorum-managerruvnetAgent skill for quorum-manager - invoke with $agent-quorum-manageragent-raft-managerruvnetAgent skill for raft-manager - invoke with $agent-raft-manageragent-refinementruvnetAgent skill for refinement - invoke with $agent-refinement