AI-Learning-Gems/AI-Learning-Gems.github.io
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Perform a deep factual search with rigorous assumption validation, subagent-based source retrieval, and detailed output directly in chat.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Perform a deep factual search with rigorous assumption validation, subagent-based source retrieval, and detailed output directly in chat.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Edit a textbook-style chapter, following evidence-based writing instructions.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Add verifiable interactive exercises to an already-written textbook chapter, section by section.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Research and explain the background for the given academic paper.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Convert a PDF (handwritten notes, textbooks, papers) into faithful Markdown+LaTeX .qmd files.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Research a technical topic deeply, download all sources, and create a TEXTBOOK-PLAN.md for a future writing workflow.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Multi-round research with self-critique. Each round researches, analyzes, then questions its own assumptions — the critique drives the NEXT round's questions. Produces a decision-ready options analysis. Does NOT implement.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Update an existing textbook chapter with new sources, integrating new information surgically while preserving scope and coherence.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Write a textbook-style chapter from a TEXTBOOK-PLAN.md, following evidence-based instructional design.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Exact syntax rules for the interactive exercises Quarto extension — required reading before writing or editing exercises.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Force verbose, detailed textbook writing style.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Curated list of high-quality technical blogs for textbook research.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Ensure all Python/pip commands use the ai-learning-gems conda env.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Shared Quarto formatting: folder structure, index files, heading levels, LaTeX, includes.
AI-Learning-Gems/AI-Learning-Gems.github.io
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WCAG-compliant semantic color-coding for key concepts in textbook chapters — applies during editing pass.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Zero World Knowledge principle, source verification, training data boundaries, sub-agent rules, observed failure patterns.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Shared source handling: centralized storage, naming, downloads, citations, blog attribution.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Shared visualization rules: D2 diagrams, hvplot/bokeh, source images, priority order.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Downloading web sources for writing textbook chapters.
AI-Learning-Gems/AI-Learning-Gems.github.io
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Shared writing style rules: tone, rhythm, AI tell avoidance, math vs narrative modes.
AI-Learning-Gems/AI-Learning-Gems.github.io
Skill Claude CodeCodexCursor
Author a comprehensive, self-contained handoff document that lets a fresh agent (or subagent) fully reconstruct the current agent's context, reasoning, and decision history. Use when the user asks to "hand off", "create a handoff", "write handoff instructions", pass work to a new agent/subagent, summarize a session…