Skills
18,283 skills, most installed first.
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agent-repo-architectruvnetAgent skill for repo-architect - invoke with $agent-repo-architectagent-researcherruvnetAgent skill for researcher - invoke with $agent-researcheragent-resource-allocatorruvnetAgent skill for resource-allocator - invoke with $agent-resource-allocatoragent-reviewerruvnetAgent skill for reviewer - invoke with $agent-revieweragent-safla-neuralruvnetAgent skill for safla-neural - invoke with $agent-safla-neuralagent-sandboxruvnetAgent skill for sandbox - invoke with $agent-sandboxagent-scout-explorerruvnetAgent skill for scout-explorer - invoke with $agent-scout-exploreragent-security-managerruvnetAgent skill for security-manager - invoke with $agent-security-manageragent-sona-learning-optimizerruvnetAgent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizeragent-sparc-coordinatorruvnetAgent skill for sparc-coordinator - invoke with $agent-sparc-coordinatoragent-specificationruvnetAgent skill for specification - invoke with $agent-specificationagent-swarm-issueruvnetAgent skill for swarm-issue - invoke with $agent-swarm-issueagent-swarm-memory-managerruvnetAgent skill for swarm-memory-manager - invoke with $agent-swarm-memory-manageragent-swarm-prruvnetAgent skill for swarm-pr - invoke with $agent-swarm-pragent-sync-coordinatorruvnetAgent skill for sync-coordinator - invoke with $agent-sync-coordinatoragent-tdd-london-swarmruvnetAgent skill for tdd-london-swarm - invoke with $agent-tdd-london-swarmagent-test-long-runnerruvnetAgent skill for test-long-runner - invoke with $agent-test-long-runneragent-testerruvnetAgent skill for tester - invoke with $agent-testeragent-topology-optimizerruvnetAgent skill for topology-optimizer - invoke with $agent-topology-optimizeragent-user-toolsruvnetAgent skill for user-tools - invoke with $agent-user-toolsagent-v3-integration-architectruvnetAgent skill for v3-integration-architect - invoke with $agent-v3-integration-architectagent-v3-memory-specialistruvnetAgent skill for v3-memory-specialist - invoke with $agent-v3-memory-specialistagent-v3-performance-engineerruvnetAgent skill for v3-performance-engineer - invoke with $agent-v3-performance-engineeragent-v3-queen-coordinatorruvnetAgent skill for v3-queen-coordinator - invoke with $agent-v3-queen-coordinatoragent-v3-security-architectruvnetAgent skill for v3-security-architect - invoke with $agent-v3-security-architectagent-worker-specialistruvnetAgent skill for worker-specialist - invoke with $agent-worker-specialistagent-workflow-automationruvnetAgent skill for workflow-automation - invoke with $agent-workflow-automationAgentDB Advanced FeaturesruvnetMaster advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.AgentDB Learning PluginsruvnetCreate and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.AgentDB Memory PatternsruvnetImplement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.AgentDB Performance OptimizationruvnetOptimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.agentdb-queryruvnetQuery AgentDB through the controller bridge -- semantic routing, hierarchical recall, causal graphs, context synthesis, pattern store/searchAgentDB Vector SearchruvnetImplement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.agentic-jujutsuruvnetQuantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordinationapi-docsruvnetGenerate API documentation from source code with JSDoc and OpenAPI supportautopilot-loopruvnetRun an autonomous /loop iteration -- check progress, work on next task, schedule next wakeautopilot-predictruvnetUse learned patterns and current state to predict the optimal next actionbrowserruvnetWeb browser automation with AI-optimized snapshots for claude-flow agentsbrowser-auth-flowruvnetProbe a site's authentication flow for redirect leaks, missing CSRF, weak session cookies, and OAuth misconfiguration; produces an auth findings.mdbrowser-extractruvnetExtract structured data via stored browser-templates or one-shot DOM queries, with mandatory AIDefence PII + prompt-injection gates before content reaches the modelbrowser-form-fillruvnetFill a web form by mapping field-name → value, with optional template lookup from browser-templates for known formsbrowser-loginruvnetDrive an authentication flow once, sanitize cookies through AIDefence, and vault a reusable cookie handle in browser-cookies for future sessionsbrowser-recordruvnetOpen a named, traced browser session into an RVF cognitive container with a ruvector trajectory recording every actionbrowser-replayruvnetReplay a recorded session trajectory against the same URL or a mutated variant; uses browser-selectors embedding similarity to recover from DOM driftbrowser-scraperuvnetDEPRECATED in v0.2.0 -- use browser-extract instead; this is a thin shim for backward compatibility, removed in v0.3.0browser-screenshot-diffruvnetVisual + DOM diff between two recorded sessions at matching trajectory step ids; used for visual regression and replay verificationbrowser-testruvnetUI test recipe -- composes browser-record (capture) + browser-replay (verify) so every test produces a replayable RVF artifact, not an ephemeral runchat-formatruvnetFormat prompts for different LLM providers with chat templates and HNSW-powered context retrievalclaimsruvnetClaims-based authorization for agents and operations. Grant, revoke, and verify permissions for secure multi-agent coordination. Use when: permission management, access control, secure operations, authorization checks. Skip when: open access, no security requirements, single-agent local work.cognitive-patternruvnetDefine and manage cognitive patterns for agent reasoning and decision-making