Learning & Documentation Agent Skills for OpenAI Agents SDK

Keep a long-lived project's documentation from rotting by assigning existing project docs clear constitution, map, status, and history…

Use when targeting Living Reviews in Relativity (LRR) or deciding whether an invited, continuously updated authoritative review in…

Transforms complex articles, papers, and books into sharp, logical Q&A chains that reveal an author's core argument skeleton.

Review and control AI Agent changes to a local Markdown, Obsidian, or Open Knowledge Format wiki.

Compile a Raw source into concise, linked Wiki notes.

Validate Wiki and source note health. Use before commits, after ingests, or when notes were edited by hand.

Answer questions from the compiled Wiki.

Extracts procedural content from project docs into slash commands.

Loads all 22 DataHub connector golden standards into context.

Document toolkit (.docx). Create/edit documents, tracked changes, comments, formatting preservation, text extraction, for professional…

This skill should be used when converting academic papers into promotional and presentation formats including interactive websites…

Presentation toolkit (.pptx). Create/edit slides, layouts, content, speaker notes, comments, for programmatic presentation creation and…

Turn the raw inventory of P1 into a logical map of the codebase: modules, packages, namespaces, layers and the architectural pattern (or…

Write long, source-grounded documents that need staged drafting or recovery across contexts.

Guide users through a structured workflow for co-authoring documentation.

Answer a question from the project wiki — searching the accumulated notes and citing them — instead of answering cold from chat context.

Launch the interactive web dashboard to visualize a codebase's knowledge graph

Analyze relevant interest questions from a live Luma event, rank the top ten participant themes, match them to verified official ChatGPT…

Palbox knowledge graph reader, bootstrapper & discoverer — creates .palbox/ if missing, traverses [[wikilinks]] for context, and…

Machine Learning: 54 concepts, no maths assumed.

Guides researchers through the manuscript preparation and submission process for the prestigious Chinese journal 《宏观经济研究》(Macroeconomics).