Discover Agent Skills for learning & documentation. Browse 86skills for Claude, ChatGPT & Codex.
Automates the collection and textual analysis of arXiv LLM agent surveys to establish high-quality writing and structural benchmarks.
Simplifies the creation of custom Claude Code Agent Skills by providing structured guidance on SKILL.md files, frontmatter validation, and best practices.
Guides developers through creating, documenting, and validating custom Agent Skills for the Claude Code CLI.
Integrates Christian mystical wisdom and Aramaic linguistic insights to guide consciousness exploration and spiritual navigation.
Generates and updates PyTorch-compliant docstrings using Sphinx formatting and official framework conventions.
Refines technical research drafts by removing boilerplate, harmonizing prose, and ensuring evidence-backed citation integrity.
Increases citation density and diversity in research drafts by generating structured reference allocation plans without adding new facts.
Automates the creation of user-friendly release notes by transforming technical git commit history into clear, categorized documentation.
Streamlines the creation and management of custom Claude Code skills by enforcing Anthropic's best practices and automated activation patterns.
Automates the iterative refinement of research paper sections by identifying and fixing specific quality failures without rewriting the entire document.
Audits and scores Jupyter Notebook tutorials against official Anthropic Cookbook standards and educational best practices.
Generates a structured matrix comparing research contributions against prior work to identify specific overlaps and novel deltas.
Populates structured tables with citation-backed facts directly from evidence packs to eliminate placeholders and prose.
Audits technical Jupyter Notebooks against professional style guides to ensure high-quality, secure, and actionable educational content.
Generates executable, PRISMA-compliant systematic review protocols with operationalized search queries and screening criteria.
Enhances tutorial modules with verifiable exercises and clear acceptance criteria to create effective teaching loops.
Transforms research evidence packs and approved outlines into structured, high-quality academic survey drafts with verified citations.
Automates the generation and verification of BibTeX citations from paper notes to ensure research traceability and stable LaTeX builds.
Generates high-quality, evidence-backed survey paragraphs using a structured four-part argumentative framework.
Transforms conceptual dependency graphs into structured, teachable tutorial sequences with measurable objectives and concrete learner outputs.
Generates structured, citation-backed evidence packs for research subsections to eliminate hollow writing and prevent prose hallucinations.
Audits and optimizes CLAUDE.md files to provide Claude Code with precise project context and actionable workflows.
Maintains a fractal self-referential documentation system that automatically synchronizes code indexes, file headers, and dependency graphs.
Provides expert-level implementation patterns and best practices for modern React 19 development and concurrent rendering.
Analyzes YouTube videos to generate comprehensive summaries, insights, and interactive learning quizzes.
Transforms technical concepts into compelling story-driven conference presentations and formatted slide decks.
Audits Anthropic Cookbook notebooks against standardized style guides and technical rubrics to ensure high-quality educational content.
Audits Jupyter Notebooks against professional style guides and technical rubrics to ensure high-quality educational content.
Conducts deep technical research using GitHub code search and Exa tools to find real-world implementation patterns and best practices.
Performs deep technical research by discovering real-world code implementations, API patterns, and the latest documentation using GitHub and Exa.
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