Boost efficiency with task automation and organizers.
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 an agent's capabilities with specialized knowledge, workflows, or tool integrations.
Write and optimize instructions for Claude Code (skills, slash commands, memory files, CLAUDE.md). **ALWAYS use before creating or modifying any CLAUDE.md file, SKILL.md file, command file, or instruction documentation.** Triggers when writing skill descriptions, optimizing prompts for clarity/token efficiency, or when user mentions "write a skill", "create a command", "optimize instructions", or "improve this prompt".
Guide for creating effective Claude Skills for the AgentStack Sovereign Platform. Use this skill when creating new skills, updating existing skills, or learning skill design patterns. Triggers on requests like "create a new skill", "build a skill for X", "skill design", "skill template", or "extend Claude's capabilities".
Build retrieval-augmented generation systems that ground LLM responses in your data
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications.
Assists in creating Agent Skills of varying complexity levels (simple, moderate, complex). Use when the user wants to create, design, or build a new Agent Skill, or when they need guidance on skill architecture, workflow design, schema validation, or template structure.
Automates updating mistralai_dart when Mistral AI OpenAPI spec changes. Fetches latest spec, compares against current, generates changelogs and prioritized implementation plans. Use for: (1) Checking for API updates, (2) Generating implementation plans for spec changes, (3) Creating new models/endpoints from spec, (4) Syncing local spec with upstream. Triggers: "update api", "sync openapi", "new endpoints", "api changes", "check for updates", "update spec", "api version", "fetch spec", "compare spec", "what changed in the api", "implementation plan".
Use this skill when discussing UI components, design systems, frontend implementation, or component architecture. Guides thinking about Atomic Design methodology - atoms, molecules, organisms - and promotes component reuse over creation. Triggers on UI/frontend discussions, "what components do we need?", "should I create a new component?", or design system questions.
Use this skill when creating or evolving design systems for applications. Provides design token structures, component architecture patterns, documentation templates, and accessibility guidelines. Ensures consistent, scalable, and accessible UI design across products.
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.
Enhanced docs unified with AI-powered features. Enhanced with Context7 MCP for up-to-date documentation.
Analyze response quality and learn from it. Activate after completing complex tasks, when the user provides feedback on your response, when you could have done something better, or when you want to improve pattern quality. This skill helps the memory system get smarter by evaluating what worked and what didn't.
Create, validate, and work with Goose recipes - reusable AI agent configurations that package specific setups for tasks. Use when creating recipe.yaml/recipe.json files, configuring Goose extensions, parameters, retry logic, structured outputs, or debugging recipe validation errors.
Analyzes design docs and existing projects to create detailed, actionable implementation plans for Claude Code. Use when the user asks to create an implementation plan, analyze a feature, or break down tasks.
Coordinate prompt and skill updates across related changes
Extract actionable knowledge from external sources and enhance existing skills using 4-tier novelty framework. Use when learning from URLs, documentation, or codebases. Use for enhancing existing skills or creating new ones from external patterns.
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
Bi-directional synchronization between RealGeeks CRM and conversational AI systems. Use when implementing webhook handlers, creating sync pipelines, handling lead deduplication, mapping activity data, or building real-time CRM integration workflows. Includes webhook security, retry logic, and data transformation patterns.
GraphQL API design and implementation. Use when building GraphQL APIs, designing schemas, implementing resolvers, or optimizing GraphQL performance.
Use this skill when you need to create a new Claude Skill, understand skill structure and best practices, or set up skill files and directories.
Comprehensive guide for creating, reviewing, and improving skills that extend Claude's capabilities with specialized knowledge, workflows, and tool integrations. Use this skill when: (1) Creating a new skill from scratch, (2) Reviewing or auditing an existing skill for quality and adherence to best practices, (3) Updating or refactoring an existing skill, (4) Understanding skill architecture, anatomy, and design patterns, (5) Troubleshooting skill loading, triggering, or packaging issues, (6) Learning how to effectively use bundled resources like scripts, references, and assets, (7) Planning what type of skill structure is appropriate for a given use case.
Query Claude Code conversation history and session data using SQL with cc-query. Use when analyzing past conversations, token usage, tool patterns, agent activity, or extracting insights from session logs. Triggers on requests about session history, conversation analysis, usage statistics, or cc-query.
Apply Anthropic's production multi-agent research patterns for complex research tasks. Use when research involves multiple independent dimensions, requires synthesis across many sources, or needs parallelization for speed. Includes query complexity assessment, parallel execution, progressive search refinement, thinking strategies, and findings compression.
