lecture-pdf
Explain a public-domain or synthetic lecture PDF as a source-bound learning page with page-linked claims, a concept map, and a synthetic exercise.
Skill by qilinxiaoxiang
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: documents, presentations, writing
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/lecture-pdf
What's inside
- Skill name
lecture-pdf- Description
- Explain a public-domain or synthetic lecture PDF as a source-bound learning page with page-linked claims, a concept map, and a synthetic exercise. Use when turning lecture slides into accessible study material without redistributing copyrighted content.
- License
- MIT
- Instructions
- 22 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# Public lecture explainer ## Inputs - A public-domain or synthetic PDF. - Intended learner level. - Page range. ## Method 1. Render every selected page before interpreting it. 2. Extract the learning objective, dependency chain, and worked examples. 3. Tie every explanation to a page number. 4. Mark any added analogy as an analogy, not source content. 5. Ask a blind reader to explain each concept without the authoring notes. ## Output Create an accessible page with a concept map, stepwise explanation, one synthetic exercise, and a page-linked source table. Do not redistribute copyrighted slides beyond short necessary excerpts.
From qilinxiaoxiang/agent-skills-and-cards, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jul 20, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Turn one public-domain or synthetic video transcript into a decision-oriented briefing with timestamped claims and separated inference.
SkillCFreshness: CClaude Code +9 - 0.474score
build-evidence-grounded-job-pack
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Build a local, reviewed job-application material pack from a job description, candidate evidence, and a source map.
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Cite this page
lecture-pdf skill. Agent Mart. https://agentmart.dev/skills/qilinxiaoxiang-lecture-pdf (last updated 2026-10-24)