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Found 392 Skills
Claude CLI sub-agent system for persona-based analysis. Use when piping large contexts to Anthropic models for security audits, architecture reviews, QA analysis, or any specialized analysis requiring a fresh model context.
Build AI-powered chat applications with TanStack AI and React. Use when working with @tanstack/ai, @tanstack/ai-react, @tanstack/ai-client, or any TanStack AI packages. Covers useChat hook, streaming, tools (server/client/hybrid), tool approval, structured outputs, multimodal content, adapters (OpenAI, Anthropic, Gemini, Ollama, Grok), agentic cycles, devtools, and type safety patterns. Triggers on AI chat UI, function calling, LLM integration, or streaming response tasks using TanStack AI.
Full-featured Microsoft Office support. Use this when Claude needs to: (1) process Excel spreadsheets (.xlsx) - formulas, formatting, data analysis, (2) create/edit PowerPoint presentations (.pptx), (3) handle PDF documents (.pdf) - extraction, merging, form filling, (4) process Word documents (.docx) - editing, track changes, comments.
Creates, refines, and validates Claude Code skills following amplihack philosophy and official best practices. Automatically activates when building, creating, generating, or designing new skills.
Step-by-step guide for adding support for a new LLM in Dust. Use when adding a new model, or updating a previous one.
Define and document brand identity standards and guidelines. Establishes visual language, tone, messaging, and design principles for consistent brand expression.
Quality gate for skill development and sharing. Validates naming, description quality, and structure. Before sharing, scans for PII/secrets. Triggers on 'check this skill', 'validate skill', 'can I share this', 'scan for sharing'. Complements skill-creator (process) with validation (requirements). (user)
Compress documents for LLM token efficiency while preserving semantic content. Use when asked to compress, compact, shrink, or optimize a document, CLAUDE.md, system prompt, skill file, or any text for fewer tokens. Also use when the user mentions token count, token budget, context window limits, or wants to make prompts shorter for cost savings.