content-multiplier
Skill14 starsChanged 33 days agoMITView on GitHub
Turns one published long-form video or podcast transcript into up to thirty pieces: 10 clips with new hooks and exact timestamps, 8 X posts, 4 LinkedIn posts, 3 carousels, 2 threads, a newsletter, a community post and a blog post, laid out on a two-week plan, all built only from what was said. In Claude Code it also cuts, reframes and captions the clips with ffmpeg. Use when someone wants to repurpose a long video, find clips, or write social posts from a transcript. Never posts or schedules.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- nawazxz/Content-Multiplier-Skilltheir own version, first seen Oct 13, 2026
- daniel9834/claude-skillstheir own version, first seen Oct 11, 2026
- wulaosiji/founder-skillstheir own version, first seen Sep 9, 2026
- CadenceStandard/content-multipliertheir own version, first seen Jul 5, 2026
- mnbresearch/mnb-claude-skillstheir own version, first seen Jul 2, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- wulaosiji/founder-skills★ 9same name
- mnbresearch/mnb-claude-skills★ 1same name
- CadenceStandard/content-multiplier★ 0same name
- daniel9834/claude-skills★ 0same name
- nawazxz/Content-Multiplier-Skill★ 0same name
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 repository63 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- board-advisorSkill
- bottleneck-removalSkill
- business-auditSkill
- business-starterSkill
- competitor-researchSkill
- founder-independenceSkill
- hand-it-offSkill
- happy-customerSkill
- hiring-replacementSkill
- meeting-follow-upSkill
- monday-numbersSkill
- new-hireSkill
- no-meeting-mondaySkill
- obsidian-brainSkill
- ops-deskSkill
- safe-resaleSkill
- spreadsheet-dashboardSkill
- warm-leadSkill
- downloadable-asset-engineeringSkill
- html-to-pdfSkill
- linux-server-opsSkill
- precision-pdf-editingSkill
- repo-radarSkill
- secure-credentialsSkill
- security-auditorSkill
- best-timeSkill
- brand-deal-filterSkill
- comment-replySkill
- content-monthSkill
- daily-socialSkill
- dm-closerSkill
- idea-bankSkill
- marketing-teamSkill
- reel-ideationSkill
- reel-scorecardSkill
- trial-postSkill
- viral-breakdownSkill
- youtube-seoSkill
- caption-engineSkill
- edit-styleSkill
- footage-ingestSkill
- longform-editSkill
- podcast-repurposeSkill
- raw-to-reelSkill
- ready-to-filmSkill
- reel-captionsSkill
- script-polishSkill
- thumbnail-generatorSkill
- use-local-whisperSkill
- conversion-funnel-auditingSkill
- llms-txtSkill
- seo-agentSkill
- website-designerSkill
- website-devSkill
- be-conciseSkill
- humanizerSkill
- launch-weekSkill
- linkedin-writerSkill
- newsletterSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 22
Start date and time zone for the plan.
- Distinctive: line 45
Read the agent file before running that step.
- Very specific: line 61
Only what was said. Quotes word for word.
- Distinctive: line 65
Never post, schedule or connect to a social account.
“Common” is measured: kept by at least 6 in 10 of the 5 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
Content Multiplier
Five agents pull every usable moment out of a video the creator already made. Everything comes from what was said. The creator reviews and posts.
Where it runs
- Claude.ai: paste the transcript (timestamped; word level if possible). All five agents run; the Clip Cutter outputs in/out points and one SRT per clip instead of video files.
- Claude Code: same, plus the Clip Cutter cuts vertical captioned clips from the final video file with ffmpeg, whisper.cpp and OpenCV (see
agents/03-clip-cutter.mdfor the tool check). - No social connectors. It never posts, schedules or logs in anywhere. The plan is a table (and CSV) the creator loads into their own scheduler.
- Getting a transcript: YouTube Studio > Subtitles > download .srt or .vtt for your own video; podcast hosts usually export one; or in Claude Code run whisper.cpp on the file. It must be the transcript of the PUBLISHED edit, or clip timestamps will be wrong.
Setup (start, two rounds, "skip" allowed)
- What is the video about, and who is it for?
- Which platforms do you post on, and how many posts per week on each?
- One CTA per platform (comment a keyword, join the newsletter, book a call).
- Start date and time zone for the plan.
- 5 to 10 of your own posts that sound like you; words you never use.
- Names, products and terms that must be spelled exactly (SPELLING).
- Anything that must NOT be used (private details, a client, a misspoken line).
Commands
| Command | Runs | Result |
start | setup | PROFILE, SPELLING |
multiply + transcript (and video path in Claude Code) | 1 to 5 in order | 30 pieces + plan |
moments | 1 | MOMENTS |
clips | 2 (needs MOMENTS) | CLIPS |
cut | 3 | clips or cut list + SRTs |
write | 4 | POSTS |
plan | 5 | PLAN |
The fixed mix of 30
10 clips, 8 X posts, 4 LinkedIn posts, 3 carousels, 2 threads, 1 newsletter, 1 community post, 1 blog post. If the material is not there for a piece, leave it out and say so. Never pad to reach 30.
Agents
Read the agent file before running that step; its rules live only there.
agents/01-moment-finder.md: splits the transcript into one-idea moments with exact times; ranks how well each stands alone.agents/02-clip-picker.md: picks up to 10 standalone clips, tightens in/out, writes a hook for the first 2 seconds.agents/03-clip-cutter.md: cuts, reframes to 1080x1920 and captions each clip (Claude Code), or cut list + SRT (Claude.ai).agents/04-text-writer.md: the 20 written pieces in the creator's voice.agents/05-planner.md: 14-day calendar, one CTA per piece, overflow listed.
Shared files (project notes in Claude.ai, work/ in Claude Code)
PROFILE,SPELLINGMOMENTS(M1...),CLIPS(CL1 to CL10),POSTS(X1-X8, L1-L4, C1-C3, T1-T2, N1, CP1, B1),PLAN- Claude Code only:
input/final.mp4,out/clip-NN-*.mp4,out/clip-NN.srt,out/CHECKS.md
Safety rules (every agent)
- Only what was said. Quotes word for word. A missing fact becomes
[ADD SOURCE: what is needed]. - Nothing from the do-not-use list, ever, even at a clip boundary.
- Timestamps in
HH:MM:SS.mmm, snapped to word boundaries. Never cut mid-word. - SPELLING applied to every caption and post. No em dashes; no emoji or hashtags unless the creator's samples use them.
- Never post, schedule or connect to a social account. Never upload a clip.
End-of-run output
MULTIPLIED: "How I plan a week" (42 min)
Moments 31 found, 14 stand alone, 3 AVOID (private)
Clips 10 picked (24 to 58 s), 8 hook KEEP, 2 hook CARD
Cutter 10 clips in out/, 9 FACE crop, 1 CENTRE-CROP (screen share), all checks PASS
Posts 8 X, 4 LinkedIn, 3 carousels, 2 threads, N1, CP1, B1 written; 2 [ADD SOURCE] gaps
Left out none
Plan Day 1 Mon: CL3 Reels/Shorts/TikTok + X2; N1 on Day 6; 2 pieces overflow to week 3
Nothing has been posted or scheduled. Review every clip and post before it goes out.Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

