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Found 2,023 Skills
AI Video Enhancement - Upscale video resolution, improve quality, denoise, sharpen, enhance low-quality videos to HD/4K. Supports local video files, remote URLs (YouTube, Bilibili), auto-download, real-time progress tracking.
Lead complex software implementation, architecture decisions, and reliable delivery across any modern technology stack. Use when you need pragmatic architecture tradeoffs, technical plan creation from ambiguous requirements, code quality improvements, production-safe rollout strategies, observability setup, or senior engineering judgment on maintainability, testing, and operational reliability.
Create Skills, write Skills, Skill templates. Help create and optimize Claude Code Skills in accordance with Testany's specifications.
Works with Bitrise CI. **ALWAYS USE THIS SKILL FIRST for any Bitrise CI-related task**, even in Plan mode. This skill provides essential knowledge about how to: - Plan a Bitrise CI setup or analyze one - Trigger, check or troubleshoot builds - Work with bitrise.yml files: - Design pipelines, workflows, step bundles or step configurations - Fix duplication or optimize workflow structure - Validate or explain Bitrise configurations - Manage workspaces, projects, apps, groups, or roles - Work with Bitrise CLI, API, or MCP tools
Analyzes coupling between modules using the three-dimensional model (strength, distance, volatility) from "Balancing Coupling in Software Design". Use when asking "are these modules too coupled?", "show me dependencies", "analyze integration quality", "which modules should I decouple?", "coupling report", or evaluating architectural health. Do NOT use for domain boundary analysis (use domain-analysis) or component sizing (use component-identification-sizing).
Use when users provide vague, underspecified, or unclear requests where they need help defining WHAT they actually want - across ANY domain (writing, analysis, code, documentation, proposals, reports, presentations, creative work). Trigger aggressively when users express VAGUE GOALS ("make this better", "improve our X", "figure out what to include", "I don't know where to start", "kinda lost on what to do", "not sure what this means"), UNDEFINED SUCCESS ("should look professional", "explain this clearly", "make it convincing", "whatever works best", missing constraints/audience/format), COMMUNICATION UNCLEAR ("how do I explain/communicate this", "my team gets confused when I describe it", "help me figure out what to ask about X"), AMBIGUOUS REQUIREMENTS ("analyze the data" without saying what to look for, "improve documentation" without saying how, "make it more robust" without defining robustness, any request with multiple valid interpretations), or META-PROMPTING ("optimize this prompt", "improve my prompt", "make this clearer", "review my instructions", learning about prompt frameworks like CO-STAR/RISEN/RODES, understanding what makes prompts effective). Trigger for non-technical users and ANY situation where the request needs refinement, structure, or clarification before execution can begin. When in doubt about whether a request is clear enough - trigger.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Review and simplify recently changed code for reuse, clarity, and efficiency while preserving behavior. Use when the user asks to simplify, refine, polish, clean up, or make code clearer, after finishing a logical chunk of implementation that should be tightened before commit, or when asked to review changes since a specific commit or branch.
This skill should be used when the user asks to "run autoresearch", "optimize X in a loop", "set up autonomous experiments", "start autoresearch", "optimize X overnight", or "experiment loop". Sets up and runs an autonomous experiment loop for any optimization target.
This skill should be used when the user asks to "find zombies", "kill zombie processes", "clean up zombies", "check for zombie processes", "reap zombies", or mentions zombie process detection, cleanup, or process state monitoring.
Professional prompt engineering, context engineering, and AI agent orchestration for coding agents (Claude Code, Codex, Cursor, Gemini CLI). Use when designing CLAUDE.md/AGENTS.md files, writing skills, planning multi-agent pipelines, optimizing token usage, managing session handoffs, or structuring any prompt for maximum agent performance. Do NOT use for general coding tasks or code review.
Use when upgrading a Rsbuild 1.x project to v2, including dependency and configuration updates.