setup-cdk-memory
Use when setting up context management for Claude Code - configures conversation search, context summarization, session export, and project memory patterns for long-running development
Use when setting up context management for Claude Code - configures conversation search, context summarization, session export, and project memory patterns for long-running development
Entfernt Anzeichen von KI-generiertem Text. Verwende diesen Skill beim Bearbeiten oder Überprüfen von Texten, um sie natürlicher und menschlicher klingen zu lassen. Basiert auf Wikipedias umfassendem "Signs of AI writing" Leitfaden. Erkennt und behebt Muster wie: aufgeblasene Symbolik, Werbesprache, oberflächliche -ing-Analysen, vage Zuschreibungen, Gedankenstrich-Übernutzung, Dreierregel, KI-Vokabular, negative Parallelismen und übermässige Konjunktivphrasen.
Design and build knowledge graphs. Use when modeling complex relationships, building semantic search, or creating knowledge bases. Covers schema design, entity relationships, and graph database selection.
Create slash commands for Claude Code with proper frontmatter, arguments, and bash execution. WHEN: MUST use when creating new slash commands. Invoke with "/claude-command-development" or "create a command", "new slash command", "write a Claude command". WHEN NOT: Creating agents (use claude-agent-creator), creating skills (use claude-skill-creator).
Persistent memory for Claude across conversations. Use when starting any task, before writing or editing code, before making decisions, when user mentions preferences or conventions, when user corrects your work, or when completing a task that overcame challenges. Ensures Claude never repeats mistakes and always applies learned patterns.
Create and validate portable Agent Skills. Use when authoring new skills, validating existing skills, or learning skill best practices. Guides through structure, portability, and progressive disclosure.
Returns a simple 'Hello World' message. Use this tool for testing MCP connection.
Implement code using sonnet model with full main context access
Generate images using Google's Gemini API. Use when creating images from text prompts, editing existing images, or combining reference images for AI-generated visual content.
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
Speech-to-text with local NVIDIA Parakeet (NeMo) via the transcribe CLI.
Use when creating new Claude Code skills, setting up marketplace repositories, or packaging skills for distribution - complete workflow from skill creation to marketplace publication
Create an execution protocol—a complete spec for an AI agent working on a project.
GraphRAG implementation patterns for hybrid search, Text2Cypher, and agentic retrieval. Use when implementing RAG workflows with Neo4j.
Autonomous TDD development loop with parallel agent swarm, category evolution, and convergence detection. Use when running autonomous game development, quality improvement loops, or comprehensive codebase reviews.
Build Model Context Protocol servers for Claude Code integration
Advanced token optimization and context management strategies.
Routes context extraction requests to appropriate CLI tools. Triggers on /context, /limitless, /research, /pieces, or detected context needs from intent hook. Supports single, parallel, and augmented extraction modes.