Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
505 skills found
Structured parallel brainstorming agent for ideation and conceptual expansion. Uses multi-agent perspectives to evolve vague ideas into practical, actionable visions. Ideation only, not for task planning.
Enriches vague prompts by performing codebase research and asking targeted questions to clarify user intent before execution.
Analyze business contracts for risks, gaps, and unfavorable terms. Generate structured risk reports for NDAs, MSAs, SaaS agreements, and SOWs with actionable redline recommendations.
Generate hierarchical, AI-optimized documentation structures (AGENTS.md, agent.d) to streamline codebase context, setup, and navigation for AI coding assistants and developers.
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.
Analyze codebase statistics: LOC, language distribution, and code-to-comment ratios using pygount.
Expert database design and access patterns: schema architecture, indexing strategies, query optimization, repository patterns, and transaction management for SQL and NoSQL databases.
Analyze codebases to generate evidence-grounded Loa artifacts using Enterprise-Grade Managed Scaffolding for structured reality mapping.
Transforms feature requests, bug reports, and improvement ideas into structured, actionable markdown project plans using repository research and industry best practices.
Perform automated visual regression testing by comparing UI screenshots against established baselines to identify layout shifts, color changes, and rendering regressions.
Remove AI-generated patterns and inject natural human voice into your writing. Fixes robotic phrasing, overuse of AI vocabulary, and sterile structure to make text sound authentic.
Expert guidance for designing and implementing high-quality tool schemas and descriptions for Julia's agent systems, ensuring reliable tool execution and reducing model hallucinations.