Discover Agent Skills for learning & documentation. Browse 86skills for Claude, ChatGPT & Codex.
Provides a structured 4-step methodology for tackling system design interviews and architectural whiteboard sessions.
Generates comprehensive OpenAPI specifications and Mermaid-based database ER diagrams automatically from project source code.
Orchestrates comprehensive project documentation by gathering context once and delegating to specialized AI documentation workers.
Automates industry research and generates structured project documentation including ADRs, API manuals, and best practice guides.
Automates the creation of structured development blog posts to document project milestones, technical learnings, and performance metrics.
Manages and maintains Python runtime code for DiPeO services, including node handlers, domain models, and LLM infrastructure.
Generates token-efficient, hierarchical AGENTS.md documentation structures to provide context-aware guidance for AI coding assistants.
Accesses expert .NET architectural patterns and best practices from Milan Jovanovic's technical blog for building robust enterprise applications.
Demonstrates advanced resource management by progressively loading scripts, documentation, and data files from a skill directory as needed.
Provides rules and best practices for writing clear, valuable, and standardized code comments.
Systematizes topic research through complexity-based assessment and automated documentation generation.
Generates and updates standardized JSDoc documentation and TypeScript examples for the DuploJS utility ecosystem.
Generates structured, high-fidelity markdown documentation from analyzed media content while preserving original context and timestamps.
Applies semantic line breaks to prose, such as comments and commit messages, to improve readability and maintainability.
Performs in-depth codebase research and documents findings in persistent, structured markdown files.
Provides a structured process and best practices for creating new Claude skills.
Generates structured, project-specific rules in a `lifeguard.yaml` file to guide and standardize code reviews.
Extracts insights from temporary LLM-generated reports and merges them into permanent documentation to preserve project knowledge and maintain git hygiene.
Standardizes content organization through maturity-based templates and consistent file naming conventions.
Indexes and retrieves information across memory palace networks using spatial, semantic, and sensory search modalities.
Constructs virtual spatial mnemonic structures to organize complex information and enhance knowledge recall through architectural mapping.
Refreshes and optimizes repository documentation using language-aware research and industry-standard structural patterns.
Synchronizes project documentation and architecture records with code changes while enforcing professional writing standards.
Generates professional, PyPI-compliant README files in Markdown or reStructuredText with integrated validation for Python package publication.
Automates the creation and formatting of Architecture Decision Records (ADRs) to document significant technical choices using industry-standard templates.
Streamlines the creation, configuration, and management of documentation sites using MkDocs and the Material theme.
Standardizes the retrieval, documentation, and implementation of IETF internet protocols within OCaml development workflows.
Manages and evolves digital gardens as dynamic, interconnected knowledge bases using a structured content maturity framework.
Generates and maintains structured architectural documentation for implemented software components during the development process.
Transforms external resources like articles and papers into structured, actionable knowledge with systematic evaluation and application routing.
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