Create and structure Claude Code skills with proper SKILL.md format, frontmatter, and progressive disclosure. WHEN: MUST use when creating new skills. Invoke with "/claude-skill-creator" or "create a skill", "new Claude skill", "write skill content". WHEN NOT: Creating agents (use claude-agent-creator), creating commands (use claude-command-development).
Detect agent capabilities and manage context intelligently
Fine-tuning multimodal vision-language models (Llama 3.2 Vision, Qwen2.5 VL) using optimized vision layers (triggers: vision models, multimodal, Llama 3.2 Vision, Qwen2.5 VL, UnslothVisionDataCollator, finetune_vision_layers).
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
External persistent memory for cross-session knowledge. Use when storing error patterns, retrieving learned solutions, managing causal memory chains, or persisting project knowledge.
Load the full content of a previous Claude Code conversation into current context. Use when user asks to "load conversation <uuid>" or "show me conversation <uuid>" or references loading/viewing a past conversation by its ID.
George Carlin BS Detector. Auto-activates on: "BS", "bullshit", "jargon", "marketing speak", "what does this mean", "sounds fake", "corporate speak", "buzzwords", "overpromising", "skeptical about"
Search indexed conversation history to find past conversations, locate when topics were discussed, or identify which project conversations occurred in. Use when user asks questions like "when did we discuss X?", "find conversations about Y", "in which project did we talk about Z?", or "show me conversations mentioning W". Works across all projects or within current project.
Phase 2-5 autonomous execution guidance - Activate when Claude needs to decide technical choices during implementation/testing/review/release phases
Comprehensive guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Covers both Python (FastMCP) and Node/TypeScript (MCP SDK) implementations.
Invoke this skill first when authoring any AI agent instructions. Foundational principles for writing LLM instructions (skills, CLAUDE.md, rules, commands). Covers token economics, imperative language, formatting for LLM parsing, emphasis modifiers, terminology consistency, and common anti-patterns.
AI агент для ABM. Используй для автоматизации ABM кампаний и персонализации outreach.
Use when implementing self-learning agent workflows. Triggers: "agent learning", "trajectory", "pattern recognition", "AgentDB", "self-learning agent". NOT for: Basic agent operations without learning requirements.
Persistently stores conversation state, decisions, and progress to allow seamless resume across sessions.
Ejecuta flujos RAG en Obsidian para responder, resumir, reorganizar o crear notas nuevas con citas trazables.
You are the podcast RSS feed parsing specialist for Modcaster.
Use when "analyzing meetings", "meeting transcripts", "communication patterns", "speaking habits", or asking about "filler words", "conflict avoidance", "facilitation style"
Development guide for Claude Agent SDK integration in IPA Platform. Use when: - Building autonomous AI agents with Claude - Implementing agents that need to make independent decisions - Creating agents with tool usage, MCP integration, or subagent delegation - Integrating Claude SDK with existing Microsoft Agent Framework - Working with code in backend/src/integrations/claude_sdk/ Provides: query(), ClaudeSDKClient, built-in tools, hooks, MCP, subagents patterns.
Assess AI fluency proficiency using 5-level certification criteria (A through E) based on demonstrated capabilities across the 4D Framework dimensions.
