Create a new Beamer lecture `.tex` from source papers and materials, with notation consistency checks and the project's preamble wired in. Use when user says "create a lecture on X", "new lecture from these papers", "start a deck on topic Y", "scaffold a new Beamer file", "build me a lecture from these PDFs". Scaffolds the full deck — NOT for compiling existing `.tex` (use `/compile-latex`).
npx skills add https://github.com/pedrohcgs/claude-code-my-workflow --skill create-lecture
Create a beautiful, pedagogically excellent Beamer lecture deck.
This is a collaborative, iterative process. The instructor drives the vision; Claude is a thinking partner.
\pause or overlay commands (check project rules)10. Work in batches of 5-10 slides — share for feedback, don't bulk-dump
Read the inputs, then produce a Pre-Flight Report in your response before Phase 1 starts.
Inputs to read:
.claude/rules/knowledge-base-template.md — notation registry, narrative arc, applications.claude/rules/content-invariants.md — INV-1..INV-8 govern slide content.tex (last section + ending slide) if one existsRequired Pre-Flight Report block:
## Pre-Flight Report
**Sources read:**
- [source 1]: [one-line takeaway — what notation, what result, what diagram]
- [source 2]: ...
**Notation registry check:**
- New symbols this lecture will introduce: [list]
- Symbols reused from prior lectures: [list, with the lecture each was introduced in]
- Conflicts detected: [none / specific clashes]
**Narrative position:** [Where does this lecture sit in the course arc? What did the previous lecture end on? What does the next lecture need you to set up?]
**Pedagogical goal:** [one sentence]
**Running application:** [which real-world example threads through this deck]
State the pedagogical goal, get user confirmation, then proceed.
First-lecture fallback (fresh fork, empty knowledge base). If .claude/rules/knowledge-base-template.md still has unfilled placeholder tables (no notation registry entries, no applications, no prior lectures in Slides/), do NOT halt waiting for it. Instead:
This prevents /create-lecture from deadlocking for every new forker.
[ ] Lecture compiles without errors
[ ] No overfull hbox > 10pt
[ ] All citations resolve
[ ] Every definition has motivation + worked example
[ ] Max 2 colored boxes per slide
[ ] 2-3 Socratic questions embedded
[ ] Transition slides between sections
[ ] At least 1 running application threaded throughout
[ ] New notation added to knowledge base
[ ] Session log updated
[ ] Devil's Advocate run
.claude/skills/translate-to-quarto/SKILL.md — port the finished Beamer deck to a Quarto RevealJS mirror..claude/skills/qa-quarto/SKILL.md — adversarial Beamer↔Quarto parity (loop-until-dry)..claude/skills/deploy/SKILL.md — render + publish the lecture to GitHub Pages..claude/skills/scaffold-exercises/SKILL.md — problem sets + solutions to accompany the lecture.Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable insights.
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
【强制】所有技术文档查询必须使用本技能,禁止在主对话中直接使用 mcp__context7-mcp 工具。触发关键词:查询/学习/了解某个库或框架的文档、API用法、配置参数、错误解释、版本差异、代码示例、最佳实践。本技能通过 context7-researcher agent 执行查询,避免大量文档内容污染主对话上下文,保持 token 效率。
Generates rich technical documentation pages with dark-mode Mermaid diagrams, source code citations, and first-principles depth. Use when writing documentation, generating wiki pages, creating technical deep-dives, or documenting specific components or systems.
Maximum-saturation research orchestration: ALWAYS proposes the final materials first (PDF+DOCX default), then parallel explore+librarian swarms across codebase, web, official docs, and OSS repos — max-roster teammode when the harness has it — with live journaling, a recursive EXPAND loop driven by leads workers return in message text, empirical verification by running code, and a cited synthesis with charts/Mermaid/assets behind a mandatory visual-QA gate. ACTIVATES ONLY on an explicit user demand for research — the word 'ulw-research' ('/ulw-research', '$ulw-research'), any 'ulw' research wording, 'ultradebate' or 'hyperdebate' research requests, or an explicit request for research / deep research / an ultra-precise investigation, in any language. Never self-activates for ordinary questions, debugging, or implementation context-gathering. While active it overrides exploration-bounding defaults: exhaustive coverage is the goal.
"Solve competition math problems (IMO, Putnam, USAMO, AIME) with adversarial verification that catches the errors self-verification misses. Activates when asked to 'solve this IMO problem', 'prove this olympiad inequality', 'verify this competition proof', 'find a counterexample', 'is this proof correct', or for any problem with 'IMO', 'Putnam', 'USAMO', 'olympiad', or 'competition math' in it. Uses pure reasoning (no tools) — then a fresh-context adversarial verifier attacks the proof using specific failure patterns, not generic 'check logic'. Outputs calibrated confidence — will say 'no confident solution' rather than bluff. If LaTeX is available, produces a clean PDF after verification passes."
Take pedrohcgs/create-lecture from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.