Total 51,079 skills
Showing 12 of 51079 skills
Use when drawing user focus - notification badges, new feature highlights, error callouts, promotional banners, or any animation meant to attract attention.
Use when creating animations that convey strength, authority, or bold confidence in brand and product.
Analyzes and improves LLM prompts and agent instructions for token efficiency, determinism, and clarity. Use when (1) writing a new system prompt, skill, or CLAUDE.md file, (2) reviewing or improving an existing prompt for clarity and efficiency, (3) diagnosing why a prompt produces inconsistent or unexpected results, (4) converting natural language instructions into imperative LLM directives, or (5) evaluating prompt anti-patterns and suggesting fixes. Applies to all LLM platforms (Claude, GPT, Gemini, Llama).
Expert guidance for creating Claude Code slash commands. Use when working with slash commands, creating custom commands, understanding command structure, or learning YAML configuration.
AI-driven browser automation via Model Context Protocol
SQL development best practices for writing efficient, secure, and maintainable database queries
CLI interface for Perplexity AI. Perform AI-powered searches, queries, and research directly from terminal. Use when user mentions Perplexity, AI search, web research, or needs to query AI models like GPT, Claude, Grok, Gemini. Commands: query.
Use when asked to inspect video file metadata, get video duration, resolution, codec information, frame rate, or bitrate.
Diagnose ClickHouse Kafka engine health, consumer status, thread pool capacity, and consumption issues. Use for Kafka lag, consumer errors, and thread starvation.
Use when exploring alternative scenarios, testing assumptions through "what if" questions, understanding causal relationships, conducting pre-mortem analysis, stress testing decisions, or when user mentions counterfactuals, hypothetical scenarios, thought experiments, alternative futures, what-if analysis, or needs to challenge assumptions and explore possibilities.
Standard flow from any task source (link or description) to creating a PR: resolve task, create branch and TODO.md, wait for fixes, create PR against origin only. Use find-skills to discover data-source query methods; after confirmation save to global config so the discovery step can be skipped next time. Use when the user provides a task link/description, asks to 'follow GitHub workflow', or 'create PR from task'.
Use when managing project uncertainty through structured risk tracking, identifying and assessing risks with probability×impact scoring (risk matrix), assigning risk owners and mitigation plans, tracking contingencies and triggers, monitoring risk evolution over project lifecycle, or when user mentions risk register, risk assessment, risk management, risk mitigation, probability-impact matrix, or asks "what could go wrong with this project?".