requirements-clarity
Clarify ambiguous requirements through systematic dialogue and scoring to ensure high-quality, actionable PRDs before starting implementation.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
457 skills found
Clarify ambiguous requirements through systematic dialogue and scoring to ensure high-quality, actionable PRDs before starting implementation.
Parallel task orchestration CLI for AI workers using isolated git workspaces.
Structured task planning framework for AI agents to break down complex features, refactors, and bugs into actionable, verifiable steps.
A modular Rust-based fuzzing library for creating custom fuzzers, advanced mutation strategies, and research-grade vulnerability testing.
Enforces a strict evidence-based debugging workflow using structured observation, hypothesis testing, and causality validation to eliminate speculation in technical investigations.
Automate i18n setup, string extraction, and locale parity audits for React/TS codebases. Features framework-aware config, automated audit scripts, and safe string replacement to ensure seamless localization.
Create and test AI-ready MCP tools for any web application. Inject code, automate browser interactions, and turn websites into intelligent agents.
Anthropic Claude AI models for high-performance coding, large-context analysis, and GUI interaction.
Enforces structured self-assessment checkpoints to validate approach, mitigate risks, and ensure quality before, during, and after task execution.
Holistic, multi-dimensional code review skill providing prioritized, actionable feedback on correctness, security, performance, design, and accessibility.
A design system and anti-pattern guide to make AI-generated UI look human-crafted. Ensures professional aesthetics by managing color, typography, spacing, and animations for the Toh Framework.
A wise conductor of expert agents. It helps you achieve goals by summoning, orchestrating, and creating specialized AI experts. Features intellectual humility, multi-agent debate, and self-learning pattern capture.