Explore our collection of Agent Skills to enhance your AI workflow.
Provides direct, number-driven financial coaching to help bootstrapped founders manage burn rate, runway, and revenue targets.
Automates the extraction of coding standards and best practices from pull request comments to create living team documentation.
Facilitates a deep, interactive self-assessment to define your strengths, decision-making frameworks, and execution strategies.
Validates and enforces consistent formatting for Markdown files using markdownlint to ensure error-free documentation.
Transforms GitHub pull request comments into actionable coding standards and structured documentation for your codebase.
Implements robust state persistence and checkpointing patterns for LangGraph agents using Memory, SQLite, and Postgres backends.
Automates the intelligent ingestion of Excel and Word documents into MXCP servers for structured querying and semantic search.
Builds and deploys production-ready MCP servers using the MXCP enterprise framework with SQL and Python.
Decomposes complex project goals into structured implementation plans and actionable tasks within the Ultrawork framework.
Crawls global AI news sources to generate deduplicated, Chinese-language summaries in a structured JSON format.
Extracts query parameters from URLs within CSV files and transforms them into organized data columns.
Visualizes FeedMob direct spend metrics using ASCII line charts to track net and gross spending trends over time.
Translates structured requirements into CleanDDD modeling blueprints and database DDL scripts for automated code generation.
Automatically captures and organizes high-quality technical discoveries and patterns from development sessions using standardized markers.
Generates professional, on-brand FeedMob content including reports, presentations, and data visualizations following official style requirements.
Enforces a strict, verification-first development cycle for complex multi-file implementations and major architectural refactoring within Claude Code.
Builds and refactors accessible frontend interfaces using Chakra UI v2, Emotion, and customized theme tokens.
Extracts and analyzes competitor advertising data from social media ad libraries to optimize marketing strategies and creative messaging.
Facilitates reliable communication and state synchronization between multiple AI agents using a robust file-based message queue.
Provides strategic frameworks and automated tools for technical leadership, engineering team scaling, and architectural governance.
Streamlines the end-of-development workflow by verifying tests and providing structured options for merging, PR creation, or cleanup.
Enforces professional Git workflows and commit standards to ensure clean, maintainable, and distributed-friendly repository histories.
Implements progressive quality standards across Git hooks, testing suites, and CI/CD pipelines to prevent production errors.
Standardizes robotics datasets and deploys edge-optimized vision-language-action models for embodied AI applications.
Enforces REST-first principles and OpenAPI-driven documentation to build scalable, backward-compatible backend services.
Converts URDF robot descriptions into MJCF format for high-performance MuJoCo and MJX physics simulations.
Standardizes Python development workflows using uv, ruff, mypy, and feature-based project architecture.
Builds and simulates a cost-efficient, wobbling robot that composes nonstandard musical scales through duck-like vocalizations.
Manages Rust-based robot firmware and gRPC services for actuator control and sim-to-real workflows.
Trains humanoid locomotion and manipulation policies using JAX-accelerated MuJoCo simulations and advanced RL algorithms.
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