Explore our collection of Agent Skills to enhance your AI workflow.
Standardizes Git workflows by enforcing conventional commits, branch naming patterns, and safety guardrails for destructive operations.
Automatically identifies and upgrades GitHub Actions within workflow files to their latest release versions.
Conducts autonomous, institutional-grade financial analysis using multi-guru perspectives and advanced composite scoring.
Renames randomly generated Claude Code plan files into meaningful, human-readable slugs based on their content.
Analyzes project history and past decisions to provide contextual recommendations and pattern recognition for current development tasks.
Packages Node.js applications as reproducible Nix derivations using modern npm, pnpm, and bun build patterns.
Retrieves past project decisions, architectural patterns, and historical context to ensure consistency in development.
Manages a structured eval-driven development workflow to verify feature capabilities and prevent regressions through automated checks.
Captures and persists architectural decisions, bug fixes, and technical trade-offs to a permanent memory bank for long-term project context.
Configures and manages preferred JavaScript package managers to ensure consistent command execution across projects.
Implements high-performance ClickHouse database patterns, query optimizations, and data engineering best practices for analytical workloads.
Enforces a rigorous quality framework by mandating structured planning, validation phases, and best-practice adherence before any code is modified.
Evaluates and optimizes project dependencies by suggesting native alternatives and verifying package health before installation.
Provides a comprehensive template for documenting project architecture, coding standards, and deployment workflows within Claude Code.
Enforces a strict Red-Green-Refactor workflow by generating failing tests before implementation to ensure high code quality and test coverage.
Automatically identifies and resolves TypeScript and build errors through an iterative, self-verifying debug-and-fix cycle.
Synchronizes project documentation automatically using source-of-truth files like package.json and environment configurations.
Extracts and codifies reusable coding patterns, error resolutions, and project-specific conventions from active AI sessions.
Automates the generation and maintenance of high-level architecture documentation by analyzing codebase structure and dependencies.
Streamlines complex development tasks through sequential, multi-agent automated workflows.
Optimizes context management by suggesting manual compaction at logical task boundaries instead of arbitrary intervals.
Safely removes unused code, exports, and dependencies through automated analysis and rigorous test-driven verification.
Implements scalable backend architectures, RESTful API designs, and database optimization patterns for Node.js and Next.js environments.
Enforces test-driven development practices with comprehensive unit, integration, and E2E test coverage.
Performs systematic qualitative thematic analysis on document collections to extract deep structural insights and categorized themes.
Automates a multi-stage quality gate system to validate builds, types, linting, tests, and security before PR submission.
Analyzes local git history to extract repository-specific coding patterns and automatically generate SKILL.md files for Claude.
Implements an eval-driven development framework to systematically validate features and track regressions using pass@k metrics.
Bootstraps reproducible, high-performance Python development environments using Nix, uv, and Ruff.
Initializes a professional Quarto environment for survey data analysis using Python, uv, and Typst PDF pipelines.
Scroll for more results...