Explore our collection of Agent Skills to enhance your AI workflow.
Transforms high-level requirements and PRDs into actionable, small-scale engineering tasks using industry-standard slicing techniques.
Ensures accurate code modifications by enforcing a strict execution flow analysis and verification protocol before implementation begins.
Implements high-performance, accessible, and perceptually accurate data visualizations using industry-standard libraries and algorithms.
Conducts thorough technical research and validates solutions using documentation and live testing to provide evidence-based recommendations.
Ensures AI models interpret user questions as literal inquiries rather than implicit commands to change course.
Conducts rigorous, evidence-based code design reviews across eight critical dimensions to identify refactoring opportunities and architectural improvements.
Transforms Claude into a professional, skeptical expert peer that challenges assumptions and coaches through rigorous critical feedback.
Enables rapid transitions between custom system instructions and specialized expert roles stored in your local directory.
Analyzes Rust compilation profiling data using DuckDB to identify performance bottlenecks and monomorphization issues.
Eliminates conversational filler and verbose explanations to deliver high-density, actionable responses.
Accesses Bubbletea TUI framework documentation and Go implementation examples for building interactive terminal interfaces.
Enforces professional object-oriented design patterns and type-safe principles to create maintainable, self-documenting codebases.
Enforces a strict, state-driven workflow for managing complex programming tasks using persistent local Markdown files.
Eliminates guesswork in software development by prioritizing systematic instrumentation and data-driven evidence before attempting code fixes.
Scaffolds high-standard NX monorepos for TypeScript backend development with integrated AI guardrails and strict type safety.
Enforces rigorous, percentage-based confidence scoring for technical conclusions to prevent over-certainty and speculative reasoning.
Enforces a strict test-driven development workflow using a governed Red-Green-Refactor state machine.
Improves software reliability by guiding the creation of expressive, maintainable, and comprehensive test suites.
Performs high-performance Python static type checking and provides language server support to ensure code reliability and type safety.
Standardizes the formatting and layout of Chinese and Chinese-English mixed text to ensure professional typographical consistency.
Accesses and provides detailed subculture trivia, gaming history, and anime-related information from historical wiki archives.
Optimizes Python development by managing packages, projects, and environments using the high-performance uv toolchain.
Optimizes Python code quality by providing high-speed linting, formatting, and automated fixes.
Automates unit testing for Go applications using the Google Cloud Spanner emulator environment.
Orchestrates a fleet of specialized AI agents to automate and scale software quality engineering tasks.
Generates production-grade, visually striking frontend interfaces that avoid generic AI aesthetics through intentional design thinking and bold creative choices.
Maintains cross-session memory by retrieving past decisions, architectural patterns, and lessons learned during development.
Builds and deploys production-ready conversational AI voice agents using the ElevenLabs Platform and multi-platform SDKs.
Automates the creation of production-ready software projects with integrated git workflows, CI/CD configurations, and language-specific build tools.
Implements advanced AI backend logic using Vercel AI SDK versions 5 and 6, facilitating model orchestration, agentic workflows, and seamless version migrations.
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