Essential command-line tools and system utilities.
Provides comprehensive MCP integration guidance for Claude Code plugins. MUST Use when integrating databases via MCP, setting up MCP servers, or configuring connections. Do not use for API integration, web services, or general database access.
Export and analyze VS Code Copilot chat logs for retrospective metrics. Extracts model usage, tool invocations, approval patterns, and timing data.
Use this skill when working on code projects that need memory persistence, code validation, multi-agent coordination, or workflow tracking. Activates Claude Code Guardian MCP tools.
Deep technical research using Firecrawl Agent for autonomous web investigation, competitive analysis, and implementation pattern discovery.
Convert and share Claude Code conversation sessions as readable markdown files. Use when user wants to share a session transcript, export conversation history, or create a shareable markdown document from a Claude Code session. Triggered by requests like "share this session", "export conversation", "convert session to markdown".
Universal execution engine using scientific method to achieve ideal state. USE WHEN complex tasks, multi-step work, "run the algorithm", "use the algorithm", OR any non-trivial request that benefits from structured execution with ISC (Ideal State Criteria) tracking.
Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check your notes', 'clean up memories'. Also use proactively when discovering valuable findings worth preserving.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation. Auto-invokes planning-pipeline after design. Includes agent mapping for intelligent subagent orchestration during execution.
Guide for creating effective Claude Skills. Covers structure, naming, progressive disclosure, workflows, and best practices. Use when the user wants to create a new Skill, improve existing Skills, or learn Skill authoring patterns.
Create specialized Claude Code sub-agents with custom system prompts and tool configurations. Use when users ask to create a new sub-agent, custom agent, or task-specific AI workflows.
Build CADSL-based cognitive artifacts for SEA-Forge™ including checklists, planners, decision trees, kanban boards, and mind maps. Use for generating interactive, semantically-anchored artifacts that support knowledge work and collaborative decision-making. Aligns with Cognitive Architecture patterns and Knowledge Graph integration.
Request human approval for a critical operation via Discord MCP server. Posts a message with reaction buttons and uses await_reaction to wait for response. Use for destructive or irreversible operations. Keywords: approval, Discord, human-in-the-loop, confirmation, dangerous operation, reactions.
Intelligent skill suggestion engine that analyzes user intent and project context to recommend appropriate documentation skills
Build MCP servers for LLM-external service integration. Use for FastMCP (Python), MCP SDK (Node/TypeScript), tool design, API integration, resource providers.
Build efficient, scalable Claude Code skills using progressive disclosure and token optimization. Use when creating new skills, optimizing existing skills, or learning skill development patterns. Provides templates, checklists, and working examples.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Expert knowledge on creating Agent Skills for Claude Code. Use when designing or creating SKILL.md files, understanding Skill structure, or implementing progressive disclosure patterns.
Comprehensive data science, machine learning, and AI guide covering Python, deep learning, NLP, LLMs, prompt engineering, and MLOps. Use when building AI models, data pipelines, or machine learning systems.
Publish and share Claude Artifacts with Projects, Cursor, and downstream agents. Use when a user wants to "save", "share", or "finalize" a generated artifact.
Captures valuable insights and documents them in CLAUDE.md. Auto-triggers when: discovering gotchas or unexpected behavior, completing significant features, fixing complex bugs, making architectural decisions, having "aha moments", or when someone says "I wish I'd known this earlier".
Create or update Claude skills with specialized knowledge and workflows. Use for new skills, skill references, skill scripts, optimizing existing skills, extending Claude's capabilities.
