lesson
Skill150 starsChanged 7 days agoMITView on GitHub
Make a narrated lesson video about lpm from the real desktop app, recorded on a pristine data directory. Title and optional narration text in, MP4 with OpenAI voice out, audio in sync with the clicks. Use when the user asks for a video lesson, tutorial, screencast, or YouTube video about lpm.
17 other projects use a version of this.
Adopted by
Most recently taken up by
- win4r/UltraMemorytheir own version, first seen Nov 8, 2026
- matthewwong525/WongStacktheir own version, first seen Nov 8, 2026
- TakaGoto/rag-learning-academytheir own version, first seen Oct 28, 2026
- tomwangowa/agent-skillstheir own version, first seen Oct 21, 2026
- pavlenkovit/vibeling-tutortheir own version, first seen Oct 20, 2026
- Alenroyfeild/ai-dev-workspacetheir own version, first seen Oct 11, 2026
Used with
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Other versions17 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 17
- CortexReach/memory-lancedb-pro★ 4.4ksame name
- win4r/memory-lancedb-pro★ 4.4ksame name
- delbaoliveira/learn-claude-code★ 182same name
- allierays/agentic-loop★ 38same name
- TakaGoto/rag-learning-academy★ 24same name
- pavlenkovit/vibeling-tutor★ 17same name
- HyperAITeam/CLITrigger★ 14same name
- maxwellsdm1867/wheeler★ 12same name
- matthewwong525/WongStack★ 7same name
- win4r/UltraMemory★ 7same name
7 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository22 other files it gives its agents.
- AGENTS.mdAGENTS.md
- mobile/AGENTS.mdAGENTS.md
- website/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- mobile/CLAUDE.mdCLAUDE.md
- website/CLAUDE.mdCLAUDE.md
- android-cliSkill
- app-review-videoSkill
- app-store-releaseSkill
- app-store-screenshotsSkill
- edge-to-edgeSkill
- lesson-publishSkill
- navigation-3Skill
- short-dailySkill
- short-gameSkill
- short-publishSkill
- short-raceSkill
- shortSkill
- lpm-cliSkill
- lpm-configSkill
- lpm-memorySkill
- lpmSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 1 is distinctive, and 3 are very specific to this project.
0
Common
Most of the 15 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 18
Read the take's log for warning lines and the qa summary: a FAIL (a name, email or error text on screen, an agent that never answered) …
- Distinctive: line 22
no YAML, config files or CLI unless the title is about them.
- Very specific: line 26
never verify a pipeline change with a real take.
- Very specific: line 27
use the OpenAI key in the Keychain (security add-generic-password -s lpm-video -a openai -U -w).
“Common” is measured: kept by at least 6 in 10 of the 15 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Generate a video tutorial from a title and optional narration text.
Workflow
node scripts/new.js "<title>" [--projects storefront,client-portal]starts~/Movies/lpm-lessons/<slug>/withlesson.json,beats.jsandtake.sh. Write the narration and the beats:reference/beats-api.mdhas every call a beat can make, the selectors and the traps.- Tell the user the narration (with the cue words each click lands on), a one-line-per-beat plan, and anything the take touches in their real setup (agent settings, a real
git clone, real usage meters), and go straight on to the dry run without waiting for an OK. - When the preflight notes the debug app is older than the Rust sources, run
cargo buildindesktop/frontend/src-taurifirst: a Tauri command the frontend calls but the old binary lacks fails mid-take.<lesson>/take.sh --no-audiois a dry run: it lints the lesson, launches the app and drives the real pointer with estimated timing, and writesframes/NN-<beat>.jpg. Review the frames (a contact sheet helps:ffmpeg -i 'frames/%*.jpg'…tile). Then write the opening and the cover:coldOpen(a one- or two-sentence hook over two short shots of the payoff) andcover(2–4 words and a frame of the payoff) inlesson.json; a dry run's timing is estimated, so check both on the take'sqa/sheet.jpgand adjust with a--mux-onlyre-cut. Without them a lesson opens on its title card and uses that card as its thumbnail. <lesson>/take.shis the take: voice first, then the recording, then the MP4, captions, chapters, thumbnail and the checks (qa/report.json,qa/sheet.jpg). Run it in the foreground (a take started in the background fails for lack of a first frame), about 5 minutes. Nobody touches the mouse or keyboard meanwhile.- Read the take's log for
warninglines and the qa summary: a FAIL (a name, email or error text on screen, an agent that never answered) means the take is not publishable as it is. - End the reply with the MP4's full absolute path (
~/Movies/lpm-lessons/<slug>/<slug>.mp4).
Rules
- no YAML, config files or CLI unless the title is about them; each video stands alone (no "next lesson" or teaser line; the lint refuses one); lessons open on
s.card("<title>")and close on a silent{ "id": "outro", "ms": 3200 }line whose beat iss.card("lpm.cx", { hold: true }). - narration: name the control, then click it on that word (
cue); fold a very short closing sentence ("Click it.") into the one before, since the voice drops those; writelpmlowercase (it is spoken as letters). - the recording shows the real machine: the checks read every second of the take for the account name, full name, computer name, email and home path, and for error text. Keep them off screen (the kit's
neutralShellreplaces the shell prompt). - a take drives the real Claude Code / Codex / Cursor on the user's login.
take.shsaves their model, effort and status-line settings and puts them back afterwards, even after a crash (restored at the start of the next take). Nothing else in their config is guarded, so a lesson that changes something else must put it back itself. - never verify a pipeline change with a real take. Copy the lesson folder (
cp -c -R) to a scratch directory and runnode scripts/make.js <copy path> --mux-onlythere; a path is used as it is, so the published lesson is never touched.node --test scripts/test/*.test.jscovers the pure parts. - use the OpenAI key in the Keychain (
security add-generic-password -s lpm-video -a openai -U -w).
Re-cuts (--mux-only): re-render the current take with the current look, sound, zooms and captions; nothing is recorded and nothing is spoken. A reworded line needs --speak: it speaks the changed lines and keeps them only if every new clip still fits before the next line; otherwise all clips are put back as they were and the line needs a new take. --take <n> re-cuts an archived take from _takes/ with the script it was recorded with (it fails when those lines have been spoken again since). The render a re-cut replaces is kept in its take's cuts/. Adjust a zoom without a new take through lesson.json "zooms": { "<line>#<n>": { "scale": 1.6, "at": [0.3, 0.5], "ms": 900 } } or { "drop": true } (the mux log lists the ids).
Flags: node scripts/make.js prints them. The pipeline, the look, the sound, the data directory, the take folders and the checks are described in reference/pipeline.md.
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