Explore our collection of Agent Skills to enhance your AI workflow.
Extracts metadata, summarizes body content, and lists attachments from macOS Mail messages using the Model Context Protocol.
Enforces a rigorous evidence-based workflow that requires successful command output before any task is claimed as complete.
Transforms raw feedback and bug reports into thoroughly investigated, prioritized, and well-documented GitHub issues.
Fetches and organizes unresolved GitHub pull request review comments to streamline the code review feedback loop.
Resolves code suppression comments and type errors automatically across multiple programming languages using parallel AI agents.
Automates multi-stage Bluebook legal citation audits using mechanical Python checks and AI-powered stylistic verification.
Enforces integration testing against real local services like databases, caches, and queues to catch bugs that mocks miss.
Initializes professional writing projects by creating thesis-driven foundations and automated project directory architectures.
Translates user stories and requirements into clean, tested, and maintainable production-grade code.
Designs accessible user experiences and creates detailed wireframes to bridge the gap between requirements and implementation.
Automates and customizes Claude Code behavior through lifecycle event triggers and custom script integration.
Capture tasks and ideas directly to your Things 3 inbox during your coding workflow.
Automates the end-to-end process of analyzing code changes, drafting idiomatic commit messages, and managing Git repository synchronization.
Enforces strict compliance standards by blocking pull request creation until all code review requirements and security checks are satisfied.
Configures Sentry AI Agent Monitoring to track LLM calls, token usage, and model performance across major AI providers.
Configures and instruments custom Sentry metrics for application performance and business KPI tracking.
Streamlines RDBMS integration in C# for PostgreSQL, MySQL, DuckDB, and legacy systems using optimized access patterns and drivers.
Standardizes git commit messages by generating meaningful, tag-based summaries and managing milestone progress.
Generates distinctive, production-grade frontend interfaces with high design quality that avoid generic AI-generated aesthetics.
Search and cite academic literature directly through Google Scholar with verified metadata and PDF downloads.
Manages tasks, projects, and organizational areas using the markdown-based tdn CLI system.
Configures Sentry structured logging and console capture across JavaScript, Python, and Ruby projects.
Streamlines the creation of autonomous subprocesses and system prompts for Claude Code plugins.
Manages and purges outdated, incorrect, or obsolete persistent memories to maintain an accurate AI project context.
Implements a validation-first development workflow for Rust projects requiring formal verification, safety proofs, and rigorous concurrency testing.
Conducts mandatory OWASP-aligned security audits for sensitive code changes involving authentication, APIs, and databases.
Performs deep security audits, vulnerability scanning, and risk assessments across multiple technology stacks.
Finds, fetches, and legally integrates high-quality images from Wikimedia Commons and CC0 sources into digital projects.
Conducts comprehensive cross-platform intelligence gathering with automated cascading research for people, companies, and topics.
Enforces a strict Red-Green-Refactor workflow to ensure high-quality, bug-free production code through test-first development.
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