lyndonkl-claude
claudeRepository of reusable agents, skills, and utilities designed for Claude integration and multi-agent orchestration.
200 skills · 85 agents · hooks
Self-learning memory system for AI agents that enables persistent knowledge and improved understanding over time.
Plugin youhai020616-agentmind from marketplace cascade-ai-ml-agents-misc-1 in joshuarweaver/cascade-ai-ml-agents-misc-1. Commands read from the repo's manifest — 1 month ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
agentmind-contextInjects learned coding preferences and patterns from AgentMind into the current conversation. Activates automatically when Claude works on coding tasks, providing learned instincts about user's preferred tools, code style, and workflows. SessionStart: - matcher: "startup|resume" hooks: - type: comma
agentmind-guideBackground knowledge about the user's coding patterns, error resolution strategies, and tool usage preferences. Applied automatically when writing, reviewing, or debugging code to align with user's established patterns.
agentmind-openclaw/youhai020616-agentmind:dashboardOpen AgentMind web dashboard for visual exploration of learning data
/youhai020616-agentmind:evolveAnalyze instincts for evolution — cluster related instincts into patterns and strategies
/youhai020616-agentmind:instinctsBrowse, search, and manage learned instincts with filtering and detail views
/youhai020616-agentmind:reflectReview and approve pending learnings — human-in-the-loop instinct validation
/youhai020616-agentmind:statusShow AgentMind learning status — instinct counts, confidence trends, and domain breakdown
evolution-engineEvolution engine agent for AgentMind. Clusters related instincts into higher-level patterns and strategies. Use when there are enough high-confidence instincts to attempt evolution (3+ related instincts with confidence > 0.5).
learning-analystDeep analysis agent for AgentMind. Analyzes observation data to detect behavioral patterns, identify causal relationships, and generate instinct candidates. Use when performing deep analysis of coding sessions after enough observations are collected.
${CLAUDE_PLUGIN_ROOT}/scripts/inject-context.sh
${CLAUDE_PLUGIN_ROOT}/scripts/observe-intent.sh
${CLAUDE_PLUGIN_ROOT}/scripts/observe-execution.sh --phase pre
${CLAUDE_PLUGIN_ROOT}/scripts/observe-execution.sh --phase post
${CLAUDE_PLUGIN_ROOT}/scripts/observe-evaluation.sh
${CLAUDE_PLUGIN_ROOT}/scripts/analyze-session.sh
${CLAUDE_PLUGIN_ROOT}/scripts/pre-compact-save.sh
${CLAUDE_PLUGIN_ROOT}/scripts/analyze-session.sh --final
Repository of reusable agents, skills, and utilities designed for Claude integration and multi-agent orchestration.
200 skills · 85 agents · hooks
Enterprise multi-agent swarm platform enabling distributed autonomous workflows with RAG integration and Claude Code support.
200 skills · 3 MCP servers
Claude skill for coordinating multiple agents in collaborative novel writing. Manages character consistency, plot coherence, and multi-perspective narrative generation.
200 skills
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196 skills
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181 skills
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150 skills
Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)
hooks
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
26 skills · 4 commands · 3 agents · 1 MCP server
Claude Code native multi-agent orchestration with intelligent model routing across agents and skills. Zero learning curve. Maximum power.
85 skills · 20 commands · 19 agents · 1 MCP server · hooks
Turn Common Room into your GTM copilot. Research accounts and contacts, prep for calls with attendee profiles and talking points, and draft personalized outreach across email, LinkedIn, and phone.
6 skills · 2 commands · 1 MCP server
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