Discover Agent Skills for learning & documentation. Browse 86skills for Claude, ChatGPT & Codex.
Generates token-efficient, hierarchical AGENTS.md documentation structures to provide context-aware guidance for AI coding assistants.
Automates industry research and generates structured project documentation including ADRs, API manuals, and best practice guides.
Standardizes the creation of high-quality Claude Code skills using Test-Driven Development (TDD) principles for documentation.
Generates a standardized documentation foundation including CLAUDE.md and core principles to streamline AI agent navigation and project consistency.
Generates structured, project-specific rules in a `lifeguard.yaml` file to guide and standardize code reviews.
Performs in-depth codebase research and documents findings in persistent, structured markdown files.
Applies semantic line breaks to prose, such as comments and commit messages, to improve readability and maintainability.
Provides a structured process and best practices for creating new Claude skills.
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 structured, high-fidelity markdown documentation from analyzed media content while preserving original context and timestamps.
Generates and updates standardized JSDoc documentation and TypeScript examples for the DuploJS utility ecosystem.
Demonstrates advanced resource management by progressively loading scripts, documentation, and data files from a skill directory as needed.
Translates SpecWeave documentation, templates, and CLI messages into multiple languages using the current LLM session.
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.
Analyzes YouTube video transcripts to extract technical insights and relate them directly to your codebase.
Guides the creation of new Claude Code Skills following best practices for structure, content, and discovery.
Ensures accurate implementations by strategically performing web research on evolving APIs, security standards, and documentation.
Standardizes the retrieval, documentation, and implementation of IETF internet protocols within OCaml development workflows.
Automates the creation of professional R and Python package release announcements for Tidyverse and Shiny blogs.
Ensures documentation accuracy by validating file paths, hyperlinks, line numbers, and code examples across your project.
Transforms external resources like articles and papers into structured, actionable knowledge with systematic evaluation and application routing.
Generates high-quality, discoverable software documentation using the Diataxis framework and professional technical writing principles.
Generates and maintains structured architectural documentation for implemented software components during the development process.
Automates the creation and formatting of Architecture Decision Records (ADRs) to document significant technical choices using industry-standard templates.
Standardizes content organization through maturity-based templates and consistent file naming conventions.
Extracts insights from temporary LLM-generated reports and merges them into permanent documentation to preserve project knowledge and maintain git hygiene.
Manages and evolves digital gardens as dynamic, interconnected knowledge bases using a structured content maturity framework.
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