Learning & Documentation Agent Skills for Gemini CLI

For citation style in legal writing: establishes the legal standard, burden of proof, and counterargument; result: test product with risk…

Audits and synchronizes research citations across documentation, Zenodo metadata, and JSON-LD knowledge graphs.

For citizen's income — dispute with the job center: clarifies norm, burden of proof and counter-argument; result: test product with risk…

A source-grounded CLI for exploring and verifying the Claude Agent SDK Python docs.

Ask any question about Claude Code features — setup, best practices, automation, models, plugins, MCP, configuration, and more.

Creates annotated bibliography-style manifests for Claude projects, tracking files, conversation threads, and relationships with unique…

Audit and reduce low-value code comments, KDoc, docstrings, CLAUDE.md, and AGENTS.md while preserving behavior and durable intent.

Clean all docs following style guide — remove redundancy, DRY, fix ordering

The client or business team does not understand common law concepts and needs an understandable explanation.

Use to build NEJM clinical display items correctly — Table 1 baseline characteristics by group (with standardized differences, not P…

Guide AI-powered video editing, highlight extraction, silence removal, and talking-head polish through ClipSense.

Automate Cloudinary media management including folder organization, upload presets, asset lookup, transformations, and usage monitoring…

Expert guidance on Webflow CMS architecture and best practices.

Explains code clearly and thoroughly. Use when asked to explain, clarify, or teach about code snippets, functions, or concepts.

Extract, validate, and test code samples in documentation.

Transforms existing frontend codebases into comprehensive Product Requirements Documents (PRDs) through automated reverse-engineering.

Transforms software source code into structured technical disclosures and Chinese invention patent drafts by mapping implementation…

This skill provides a comprehensive context extraction system for large codebases.

Scans the codebase to generate project-doc.md and AGENTS.md.

Map codebase structure with parallel analysis — produces 7 documents about architecture, concerns, and conventions

Personalized coding tutorials that build on your existing knowledge and use your actual codebase for examples.