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Found 312 Skills
Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-thought or few-shot learning, creating system prompts with personas and guardrails, building JSON/function-calling schemas, or developing prompt evaluation frameworks to measure and improve model performance.
Review Bun runtime security audit patterns. Use for auditing Bun-specific vulnerabilities including shell injection, SQL injection, server security, and process spawning. Use proactively when reviewing Bun apps (bun.lockb, bunfig.toml, or bun:* imports present). Examples: - user: "Review this Bun shell script" → audit `$` usage and argument injection - user: "Check my bun:sqlite queries" → verify `sql` tagged template usage - user: "Audit my Bun.serve() setup" → check path traversal and request limits - user: "Is my Bun.spawn() usage safe?" → audit command injection and input validation - user: "Review WebSocket security in Bun" → check authentication before upgrade
Build trust signals that reduce perceived risk and enable user action. Use when designing landing pages, checkout flows, onboarding experiences, or any conversion point where user hesitation is a barrier.
This skill should be used when the user asks to "audit Python dependencies for vulnerabilities", "scan requirements.txt for CVEs", "set up pip-audit", "fix vulnerable Python packages", or needs guidance on Python dependency security scanning with pip-audit.
Apply cognitive bias knowledge to product design and decision-making. Use when designing user experiences, analyzing user behavior, improving conversions, or ensuring ethical design practices.
Conduct root cause analysis using the Five Whys technique. Use when investigating problems, debugging issues, understanding failures, analyzing churn, or finding the underlying cause of any issue.
Subtitle generation and burning. Transcription → dictionary correction → review → burning. Trigger words: add subtitles, generate subtitles, subtitles
This skill should be used when the user asks to "use NumPy", "write NumPy code", "optimize NumPy arrays", "vectorize with NumPy", or needs guidance on NumPy best practices, array operations, broadcasting, memory management, or scientific computing with Python.
This skill should be used when the user asks to "write a Next.js app", "follow React best practices", "optimize a Next.js application", "build with the App Router", or needs guidance on modern React and Next.js patterns for 2025.
This skill should be used when the user asks to "write unit tests", "follow unit testing best practices", "improve test quality", "structure test cases", or needs guidance on unit testing concepts, patterns, and principles.
Use when designing how an interface behaves rather than how it looks — user flows, navigation and information architecture, forms and validation, loading/empty/error states, confirmation and undo for destructive actions, button and error message wording, feedback for slow operations, or mobile and touch behavior. Also use when a UI looks finished but breaks on bad input, slow networks, no data, or first use.
Use this when you are working on file operations like reading, writing, scanning, or deleting files. It summarizes the preferred file APIs and patterns used in this repo. It also notes when to use filesystem helpers for directories.