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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.
npx agentmarket install skill/yujxzjcn-media-scripter
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: productivity, agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 1, 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/media-scripter
What's inside
- Skill name
media-scripter- Description
- Recorded-media scripting for university professors. 4-agent team turning lecture notes and flipped-class specs into mini-lecture video scripts, shot-by-shot storyboards, 6–9-minute episode series, cleaned captions/transcripts, and podcast-style audio adaptations. Scripts are spoken language with built-in accessibility — not read-aloud prose. Triggers on: video script, record a lecture, lecture video, mini-lecture, screencast, storyboard, captions, transcript, subtitles, podcast, flipped video, MOOC, 录课, 慕课, 视频脚本, 微课, 录屏, 字幕, 讲稿, 播客, 翻转课堂视频.
- License
- MIT
- Metadata
- status: active · version: 1.0.0 · last_updated: 2026-06-10 · pipeline_stage: 2
- Instructions
- 146 lines in SKILL.md · view on GitHub
Files (8)
- SKILL.md
- script_writer_agent.md · agents/
- segmenter_agent.md · agents/
- storyboard_agent.md · agents/
- transcript_editor_agent.md · agents/
- video_pedagogy.md · references/
- script_template.md · templates/
- series_map_template.md · templates/
SKILL.md (first lines)
# Media Scripter — Recorded Teaching Media Team
Scripts what the professor says into a camera or microphone: lesson-builder decides
what the pre-class material *covers*; this skill scripts the actual videos and audio.
Recorded media obeys different rules than a live lecture — there is no room to read,
the student has a pause button, and attention decays fast — so scripts are tighter,
segmented, and signposted in ways live notes never need to be. The professor brings
the content and their own voice; this skill brings spoken-register craft, the recorded-
media evidence base, and accessibility built in from the first draft.
> **Prime rule:** lecture notes are raw material, not the script. Prose that reads
> well silently dies on camera. Every script passes the read-aloud test before it
> reaches the professor — and every script ships with its transcript, because captions
> are planned at the start, not bolted on after recording.
## Quick Start
```
Write a video script for my Week 5 flipped class on hash tables
帮我把这章内容拆成几个微课视频,每个不超过 8 分钟
Storyboard a screencast demo of debugging a segfault in gdb
Clean up this auto-generated transcript — the terminology is mangled
Turn my recorded lecture into a podcast episode students can listen to commuting
```
## Modes
| Mode | Trigger intent | Output |
|------|---------------|--------|
| `script` | "Write a video script for…" — one mini-lecture | Two-column script: narration + visual cues + timing, from `templates/script_template.md` |
| `storyboard` | "Storyboard / plan the shots for…" — screencasts, demos, visual-heavy segments | Shot-by-shot plan: what's on screen, what's said, screen-action cues, production notes |
| `series` | "Break this topic/week into videos" — more than one episode's worth | Episode sequence (6–9 min each) with per-episode objectives and the retrieval question between episodes, from `templates/series_map_template.md` |
| `captions` | "Fix these captions / clean this transcript" — raw auto-transcript in hand | Accurate caption file + readable transcript document: terminology fixed against course materials, sentence-segmented, speaker/visual annotations |
| `audio` | "Make a podcast version / audio-only" | Podcast-style adaptation: visual content translated to narration or explicitly deferred, with chapter markers |
**Mode dispatch rule:** "record my Week N video" with no script source → check passport
artifacts for a lesson-builder `W<N>_preclass_spec.md` or `W<N>_lecture_notes.md`
first; none found → offer `lesson-builder` for content design, or run `script` with
direct intake if the professor already has notes. Material that won't fit one episode
→ `series` proposes the split before any script is drafted. Detect intent in any
language.
### Does NOT trigger
| Scenario | Use instead |
|----------|-------------|
| Deciding WHAT the pre-class material should cover — the flipped design itself | `lesson-builder` (`flipped` mode) |
| The slides shown in the video — theme, rendering, figures | `deck-studio` |
| Lecture notes for a live class meeting | `lesson-builder` (`lecture-notes` mode) |
| Full design → materials → assessment run across stages | `teaching-pipeline` |
(The boundary in one line: lesson-builder specifies the material and writes the prose;
deck-studio renders what's on screen; this skill scripts what's *said* over it and
when. A flipped spec or lecture notes arriving from lesson-builder are consumed as
confirmed content — script_writer transforms the register, never the claims.)
## Agent Team (4)
| Agent | Role |
|-------|------|
| `script_writer_agent` | Transforms prose source into spoken-register two-column scripts: signposting, worked-example pacing, embedded retrieval prompts, timing from word count, `[VERIFY]` discipline on domain claims |
| `storyboard_agent` | Shot-by-shot plans: screen/narration/duration tables, screencast cursor-and-zoom discipline, demo error-recovery planning, talking-head alternation points, production-effort honesty |
| `segmenter_agent` | Topic → episode architecture: dependency ordering, one objective per episode, sizing from word counts, inter-episode retrieval questions, series map fed to the passport schedule |
| `transcript_editor_agent` | Raw auto-transcript → caption file + readable transcript: terminology corrected against course materials, caption line conventions, non-speech annotations, marked gaps over confident guesses |
## Workflow (`script` mode)
```
Phase 0 LOAD — locate the source: lecture notes, slide outline, or flipped
spec from passport artifact_refs; else direct intake (the
professor's notes/outline + target audience + register sample
if available). No source at all → this is content design:
route to lesson-builder before scripting.
Phase 1 SCOPE — segmenter sizes the source against the 6–9-minute default
(references/video_pedagogy.md): more than ~9 minutes of spoken
material → propose a `series` split instead of one long script,
with the episode map. One episode's worth → proceed.
🧑 checkpoint: scope confirmed (single script vs series — cheapest moment
to change the architecture)
Phase 2 DRAFT — script_writer drafts the two-column script: spoken-register
narration, explicit signposting, one worked example per concept,
visual cue column synced to the narration, one embedded
retrieval prompt ("pause and predict…"), timing estimated from
word count (~130–150 wpm spoken) plus on-screen-action time.
The read-aloud test is part of this pass, not a later QA step.
Phase 3 STORYBOARD — for visual-heavy segments (screencasts, demos, animated
figures), storyboard_agent expands the visual column into a
shot table with production notes; figure needs are written as
deck-studio specs, not vague gestures.
Phase 4 ASSEMBLE — package: script + timing summary + recording checklist +
caption/transcript notes; collect every [VERIFY] marker
carried over from the source into one review list.
🧑 checkpoint: script + timing + what the professor must verify before
recording ([VERIFY] domain claims, register fit, example vetting).
Confirmed → passport week artifact_refs updated.
```
`series` mode runs segmenter first and then this workflow per episode; checkpoint
cadence is per episode, collapsing to minimal confirmations when the professor says
"just proceed" (Checkpoint Protocol). `captions` and `audio` modes skip Phases 1–3
and run their single agent against the supplied recording artifacts.
## Iron rules
1. **Spoken register.** Scripts read aloud naturally — short sentences, direct
address, no subordinate-clause stacks, no "as we can see." The read-aloud test is
part of the draft pass, not a polish step; a paragraph the professor would stumble
over on camera is a defect, not a style preference.
2. **Segment discipline.** Default 6–9 minutes per episode (Guo et al. 2014 — see
`references/video_pedagogy.md` for the honest scope of that evidence). Longer
episodes only with the professor's logged reason. Every episode carries exactly one
objective and at least one retrieval prompt.
3. **Narration–visual sync.** Every visual change has a narration anchor — the words
during which it appears — and every narration beat that depends on a visual names
it. Orphaned visuals (on screen, never referenced) and orphaned references ("this
graph" with nothing scripted on screen) are defects caught at assembly.
4. **Accessibility is first-class, not retrofit** (Pedagogy Foundations §7). Narration
describes visuals, never just points at them — "this graph" is banned; say what the
graph shows. Caption-ready line lengths from the start; a transcript ships withFrom YujxZJCN/teaching-skills, MIT.
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cohort-analyst
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lesson-builder
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student-mentor
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During-semester student support for university professors.
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submission-auditor
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Specification-driven submission auditing for university professors.
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ta-coordinator
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teaching-pipeline
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teaching-reflector
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Signals
- Stars
- 41
- Forks
- 7
- Open issues
- 0
- Last commit (this folder)
- Jun 10, 2026 (4 months ago)
- Last release
- Jun 17, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0.0
- License
- MIT
- Repository
- github.com/YujxZJCN/teaching-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from YujxZJCN
- 0.571score
accreditation-mapper
YujxZJCN
Accreditation and program-assessment documentation for university professors.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
bilingual-courseware
YujxZJCN
Bilingual course-material maintenance for university professors — default EN ⇄ 简体中文, language-pair agnostic.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
cohort-analyst
YujxZJCN
Learner and cohort analysis (学情分析) for university professors — cross-cutting support for design, builds, and the weekly loop.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
deck-studio
YujxZJCN
Slide deck production for university professors.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
lab-forge
YujxZJCN
Executable teaching-artifact builder for STEM professors — pipeline Stage 2 extension.
SkillCFreshness: C★ 41Claude Code +9 - 0.571score
course-designer
YujxZJCN
Backward course design for university professors.
SkillCFreshness: C★ 41Claude Code +9
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media-scripter skill. Agent Mart. https://agentmart.dev/skills/yujxzjcn-media-scripter (last updated 2026-10-24)