Learning & Documentation Agent Skills for ChatGPT

Generates publication-ready academic presentation slides from research papers as self-contained HTML decks with automated PDF and PPTX…

Use when the user needs help choosing or organizing an academic-writing workflow by deliverable, stage, or format, including review…

Personalized academic writing assistant for university assignments in Chinese and English.

Feature-complete companion for the actual CLI, an ADR-powered CLAUDE.md/AGENTS.md generator.

Add an AI-powered chat assistant that guides users through a product tour or onboarding flow, answers questions about the app, and is…

Use this skill when the user asks to add documentation, add docs, add references, or install documentation about Neon.

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Add a new tool to altbox from the URL $ARGUMENTS.

Creates detailed code unit guides for source code documentation.

Record architecture decisions in a project's ADR log.

Fires at the moment a hard-to-reverse choice is settled — during framing, planning, review, or reconciling — and on the symptom of the…

Enables comprehensive creation, editing, and analysis of Word documents with full support for track changes and professional formatting.

Drafts an Adverse Event Reporting Policy compliant with 21 CFR 312.32 (IND safety reporting), 21 CFR 314.80 (postmarketing), and ICH E2A…

Optimizes and generates AI coding agent instruction files like AGENTS.md and CLAUDE.md to improve project context and model performance.

Research any topic online and create learning guides.

Helps generate release notes to be published on GitHub as well as in a Slack community channel

Builds, converts, and deploys pages to a Bricks Builder WordPress site using the agent-to-bricks CLI (`bricks`).

Copilot discovery loader for the shared Agentic PM Lab mastery skill.

Capture architectural decisions made during Claude Code sessions as structured ADRs.

Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC…

Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.