Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
167 skills found
Implement the 'Engineering as Marketing' growth strategy: build free SEO-driven utility tools to drive organic traffic, capture leads, and convert visitors into customers without ad spend.
Creates well-formed, actionable engineering tasks from requirements using vertical slicing, INVEST principles, and Example Mapping.
AI-native product management tool for startups. Features automated competitor research, gap analysis using the WINNING filter, PRD generation, and GitHub Issues integration for prioritized, signal-based roadmap planning.
Expert tool for auditing and validating the structural integrity, naming conventions, and best practices of Claude Code configurations, including skills, hooks, and commands.
Creates structured Linear issues (main + sub-issues) with automated project linking, title prefixes, labeling, and PRD-aligned content workflows for fullstack developers.
An end-to-end video processing pipeline that transforms raw recordings into transcripts, key insights, short clips, and polished articles.
Monitor Claude Code usage, token consumption, productivity streaks, and skill effectiveness metrics to optimize your development workflow.
Persistent state management and workflow analytics using DuckDB for task dependency tracking, historical metrics, and context checkpointing.
Implement professional-grade test automation strategy, manage test pyramids, detect anti-patterns, and integrate with CI/CD for resilient, fast, and high-quality software testing.
Help users manage time and tasks effectively. Use for overcoming overwhelm, improving focus, balancing responsibilities, and increasing personal productivity.
Optimize React performance, implement security hardening, and ensure WCAG accessibility compliance with automated patterns and checklists.
Classical machine learning with scikit-learn. Use for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building robust ML pipelines in Python.