Explore our collection of Agent Skills to enhance your AI workflow.
Architects sophisticated LLM applications using the LangChain framework for agents, memory management, and complex tool integration.
Conducts real-time OSINT research to retrieve verified career timelines, professional backgrounds, and biographical data for individuals and entities.
Guides developers through the complex two-phase process of upgrading Chromium versions within the Electron framework.
Architects robust, scalable, and developer-friendly REST and GraphQL APIs using industry-standard patterns and best practices.
Automates the maintenance, ID assignment, and indexing of kanji characters for Japanese-English dictionary projects.
Synchronizes centralized governance rules and coding standards into AI agent context files and project headers.
Bootstraps a production-ready fullstack environment using FastAPI, React, TypeScript, and Docker with optimized package management.
Translates complex code into intuitive explanations using real-world analogies and ASCII diagrams.
Initializes or retrofits projects with standardized linting, testing, and AI-ready configurations across TypeScript, Python, and Swift.
Manages healthcare metrics and dbt models for the Engage Analytics project, including questionnaire processing and indicator definitions.
Writes and edits clear, conversational technical documentation following the Metabase style guide for markdown and MDX files.
Enforces rigorous, production-grade Python standards with a fail-fast philosophy and strict type safety for academic and research environments.
Builds scalable, multi-stage GitLab CI/CD pipelines with optimized caching, security scanning, and automated deployment patterns.
Automates asynchronous communication between humans and AI agents through inline HTML comments across Markdown, Python, and text files.
Writes and edits user-focused documentation following a conversational style guide to ensure technical content is clear and accessible.
Automates the creation of GitHub pull requests following semantic titling conventions and CI-compliant templates.
Manages multiple concurrent background Claude Code sessions for streamlined parallel development and long-running AI tasks.
Provides comprehensive guidance and implementation patterns for automated shell script testing using the Bats framework.
Implements robust end-to-end testing suites using Playwright and Cypress to ensure application reliability and prevent regressions.
Optimizes multi-package repository architectures using Turborepo, Nx, and pnpm workspaces for efficient builds and code sharing.
Implements measurable reliability targets using Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets to balance stability with innovation velocity.
Dispatches a specialized code-reviewer subagent to validate implementations against requirements and catch issues early in the development lifecycle.
Builds robust Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground LLM responses in proprietary data.
Masters systematic debugging techniques and profiling tools to efficiently identify and resolve complex software bugs and performance bottlenecks.
Implements robust testing strategies using pytest, fixtures, and mocking to ensure high-quality Python codebases.
Implements a rigorous, verification-first approach to processing code review feedback by prioritizing technical correctness over performative agreement.
Automates the creation, configuration, and distribution of professional Python packages using modern standards like pyproject.toml.
Systematically traces software bugs backward through the call stack to identify and resolve original triggers rather than just surface symptoms.
Implements secure, industry-standard authentication and authorization patterns including JWT, OAuth2, and RBAC.
Builds professional PDF documents and resumes using @react-pdf/renderer with standardized design tokens and typography.
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