Creator ยท hassancs91
Last updated ยท Sep 3, 2026
Build a fully-synthetic vertical short (1080ร1920, ~40s) end-to-end from a topic โ script + beats.json, linked TSX beats over a persistent canvas, phone-scale QA, render, ElevenLabs voice with exact word-synced captions, SFX audition, optional music bed. Use when the user wants t
Creator ยท hassancs91
Last updated ยท Sep 3, 2026
Build a fully-synthetic vertical short (1080ร1920, ~40s) end-to-end from a topic โ script + beats.json, linked TSX beats over a persistent canvas, phone-scale QA, render, ElevenLabs voice with exact word-synced captions, SFX audition, optional music bed. Use when the user wants t
Creator ยท hassancs91
Last updated ยท Sep 3, 2026
Build a fully-synthetic vertical short (1080ร1920, ~40s) end-to-end from a topic โ script + beats.json, linked TSX beats over a persistent canvas, phone-scale QA, render, ElevenLabs voice with exact word-synced captions, SFX audition, optional music bed. Use when the user wants t
Creator ยท hassancs91
Last updated ยท Sep 3, 2026
Build a fully-synthetic vertical short (1080ร1920, ~40s) end-to-end from a topic โ script + beats.json, linked TSX beats over a persistent canvas, phone-scale QA, render, ElevenLabs voice with exact word-synced captions, SFX audition, optional music bed. Use when the user wants t
Sandbox only
Install targets
Codex install prompt
Install the "make-short" agent skill from https://github.com/hassancs91/claude-faceless-shorts-creator/tree/main/.claude/skills/make-short. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Build a fully-synthetic vertical short (1080ร1920, ~40s) end-to-end from a topic โ script + beats.json, linked TSX beats over a persistent canvas, phone-scale QA, render, ElevenLabs voice with exact word-synced captions, SFX audition, optional music bed. Use when the user wants to "make a short", "create a shorts video", build a TSX short for a niche (chess, math, algorithms, dev tips, Excelโฆ), add voice/captions to a short, or continue the short-N series in this repo. This is the 100%-TSX track โ for video-model pixels use make-ai-short, for the paper-collage documentary look use make-vox. Defers raw TSX crash rules to vidtsx-2d-generator and SFX taste to suggest-sfx + brand ยง7. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"hassancs91-make-short","task":"Install make-short","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add hassancs91/claude-faceless-shorts-creator --skill make-short
Maintenance
fresh
18d since push
Risk
Risky
Permission surface may require sandboxing
GitHub quality
206
70/100 Quality ยท 76/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing ยท Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
RiskyA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
206 GitHub stars
Repo activity
206 stars, 87 forks
Maintenance
18d since push
License
MIT
Install
npx skills add hassancs91/claude-faceless-shorts-creator --skill make-short
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add hassancs91/claude-faceless-shorts-creator --skill make-shortDo not use when
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20make-short%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20make-short%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/hassancs91-make-short/install
Agent should check
Copy prompt
Task: Use make-short in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20make-short%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/hassancs91-make-short/install
Install command: npx skills add hassancs91/claude-faceless-shorts-creator --skill make-short
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/hassancs91-make-short/install
LLM text format
/api/skills/hassancs91-make-short/install?format=text
Find alternatives
/api/skills/search?q=make-short&limit=3
Agent prompt
Use make-short for this task. Review https://www.openagentskill.com/api/skills/hassancs91-make-short/install, then install with: npx skills add hassancs91/claude-faceless-shorts-creator --skill make-shortRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/hassancs91-make-short
LLM text
/api/registry/manifest/hassancs91-make-short?format=text
Install alias
/api/registry/install/hassancs91-make-short
Recommend
/api/registry/recommend?task=Use%20make-short%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO206 GitHub stars
Stars/forks activity
INFO206 stars, 87 forks; issue activity unavailable in current metadata
Recent maintenance
PASS18d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
Workflow fit
Brief to publish-ready creative
A practical workflow for agents that shape a video brief, create strong multimodal prompts, generate supporting B-roll, and prepare a reviewable short-form or explainer video.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
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--- name: make-short description: Build a fully-synthetic vertical short (1080ร1920, ~40s) end-to-end from a topic โ script + beats.json, linked TSX beats over a persistent canvas, phone-scale QA, render, ElevenLabs voice with exact word-synced captions, SFX audition, optional music bed. Use when the user wants to "make a short", "create a shorts video", build a TSX short for a niche (chess, math, algorithms, dev tips, Excelโฆ), add voice/captions to a short, or continue the short-N series in this repo. This is the 100%-TSX track โ for video-model pixels use make-ai-short, for the paper-collage documentary look use make-vox. Defers raw TSX crash rules to vidtsx-2d-generator and SFX taste to suggest-sfx + brand ยง7. ---
# make-short โ fully-TSX vertical shorts, end to end
Everything is code: no footage, no stock. One short = one Remotion composition fed by a beats contract, with voice and SFX layered on after render. Proven across the 12 example shorts in `shorts/`. The idea bank + niche ranking lives in **`IDEAS.md`** โ read it when picking a topic, and grow it when brainstorming.
Run everything from the **repo root**. Tools are stdlib-only Python 3.10+; `ffmpeg`/`node` must be on PATH; API keys live in `.env` (see `.env.example`).
## Artifact contract
``` shorts/short-N-<niche>/ script.md โ hook, beat sheet table (time | on screen | VO), production notes beats.json โ machine contract: format, vo[] (text+start/end+words), beats[], niche timeline voice/ โ per-line TTS clips + voice.wav (gen_voice.py) [gitignored] sfx-plan.json โ cue sheet on the global timeline (mix_sfx.py) output/ โ short-N-sfx.mp4 (+ music auditions) [gitignored] remotion/src/shots/short-N/ ShortN<Name>.tsx โ THE composition (registered by npm run gen) vo.gen.ts โ AUTO-GENERATED VO with exact word times (never hand-edit) ```
Shared kit: `remotion/src/lib/shorts.tsx` (Captions, Kicker, BigTitle, Stamp, PauseCard, StatChip, ProgressBar, ShortsBackdrop, SAFE areas, prog helper). Niche libs so far: `lib/chess.tsx`, `lib/math.tsx`, `lib/algo.tsx`, `lib/sheet.tsx`, `lib/piano.tsx`, `lib/prob.tsx`, `lib/map.tsx`, `lib/orbit.tsx`, `lib/chart.tsx`, `lib/story.tsx`โฆ **Add at most ONE new niche lib per short**, generic enough for a series.
## Stage 1 โ script + beats
Beat grammar (~38โ42s): **HOOK** (0โ3.4s, frame 0 FULLY composed โ the payoff already visible, no fade from black) โ **SETUP** โ optional **QUIZ** (PauseCard, ~2.5s โ drives comments) โ **REVEAL** in 2โ4 steps, each synced to a VO word โ **TWIST** โ **LOOP** (last frame == frame 0, dissolving the payoff back into the intro so it replays seamlessly).
**Outros โ no fluff.** NEVER end on an old-school engagement-CTA โ no "what should I do next?", no "comment below", no "which one should I break down". They read as dated. End on the PAYOFF line, and let the visual LOOP blend back into the intro โ the loop-into-intro *is* the ending. Prefer a clean visual dissolve/reset that lands the last frame exactly on frame 0. If a seamless loop genuinely isn't possible for a topic, just end on the payoff with no filler. Don't pad the tail: trim the composition so it ends shortly after the payoff, not seconds of dead air.
VO rules: ~100 words total, estimate line windows at **~2.7 words/sec with slack to the next line's start** (tighter forces audible atempo squeeze โ 3.3wps needed a 1.3ร squeeze; 2.7wps peaked at 1.11ร). Facts must be verified before scripting. Write `script.md` + `beats.json` (vo lines with estimated start/end; niche timeline in global SECONDS).
## Stage 2 โ the composition
- One `.tsx` under `remotion/src/shots/short-N/`, `compositionConfig` 1080ร1920 @30, ~42s. Follow vidtsx-2d-generator's hard rules (frame-based only, monotonic ranges, Easing.bezier). - Beats = `<Sequence>` scenes over ONE persistent canvas (the board/equation/array is the continuity โ rewinds and evolutions happen in a single component's timeline, not cuts). - `Captions lines={VO}` + `ProgressBar` mounted at the ROOT (global time), scenes beneath. - **THE recurring bug: frames inside a `<Sequence>` are LOCAL.** Converting a global beat second to a scene cue is `local_f = global_s*fps โ sequence_from`. Check every cue twice. - Frame-0 rule: hook scene uses `warm` props (BigTitle/EqRow) and negative `at`s so highlights/ stamps are already on at f0. Loop scene reverses the hook's punch-in (settle 1.06โ1 vs grow 1โ1.06) so the video loops seamlessly. - Safe areas: captions block centered ~y1500; nothing critical in bottom 340px / right 160px.
## Stage 3 โ QA (do not skip, it catches real bugs every time)
``` cd remotion && npm run gen # frames.mjs does NOT run gen-registry itself node scripts/frames.mjs ShortNName 0,<beat-boundaries+hero-frames>,<last> --scale=0.5 ``` READ every PNG (phone scale). Checklist: frame 0 composed & thumbnail-grade ยท every reveal synced to its beat ยท nothing covering the payoff element ยท kickers swap with the narration ยท captions clear of UI zones ยท loop frame โ frame 0. Fix, re-render frames, only then:
``` node scripts/render-all.mjs ShortNName --scale=1 # -> remotion/out/ShortNName.mp4 ```
## Stage 4 โ voice (ElevenLabs, word-exact captions)
``` python tools/gen_voice.py --beats shorts/short-N-<niche>/beats.json \ --voice TX3LPaxmHKxFdv7VOQHJ --emit-ts remotion/src/shots/short-N/vo.gen.ts ``` - Per-line TTS with `/with-timestamps` โ REAL per-word times (tempo-scaled, global) written into beats.json AND `vo.gen.ts`. The shot imports `{ VO } from './vo.gen'` โ captions then highlight on the exact spoken word. Never estimate when a voice track exists. - Clips are cached by text-hash: rewriting one line only re-bills that line. - Voice: the examples use ElevenLabs premade "Liam" (`TX3LPaxmHKxFdv7VOQHJ`); swap in any voice (including your own clone) with the `--voice` flag + regen. - Then re-render the composition (captions retimed) and mux: `ffmpeg -i remotion/out/<Id>.mp4 -i shorts/.../voice/voice.wav -map 0:v -map 1:a -c:v copy -c:a aac -b:a 192k -t 42 remotion/out/<Id>-voiced.mp4`
## Stage 5 โ SFX (the suggest-sfx machinery, shorts flavor)
Read `brand.md` ยง7 + `media/library/sfx/catalog.json`. Library-first; add generic recipes to `palette.json` + `python tools/gen_sfx.py` only for genuine misses. Author `shorts/short-N-<niche>/sfx-plan.json` (preview = the -voiced.mp4, out = output/short-N-sfx.mp4).
Shorts taste adaptations: **diegetic action sounds are the content** (piece thocks, digit pops) and may exceed long-form density; decorative cues stay `optional: true`; layer the 2โ3 hero moments (capture+stamp, carry flight+landing+chime). Cue times from EXACT landing frames: `at_s = (move.at + move.dur + sequence_from) / fps`.
``` PYTHONIOENCODING=utf-8 python tools/mix_sfx.py shorts/short-N-<niche>/sfx-plan.json --print PYTHONIOENCODING=utf-8 python tools/mix_sfx.py shorts/short-N-<niche>/sfx-plan.json ``` The mix is an AUDITION โ the user's ear is the audit gate before anything is called final. Update catalog `used_in` afterwards.
## Stage 6 โ music (optional, per video)
Library beds in `media/library/music/` (gen_music.py to grow). Audition over the SFX mix: `python tools/mix_music.py --all --base shorts/short-N-<niche>/output/short-N-sfx.mp4` (or `--bed <id>`). Hard-ducked under voice.
## Done =
script.md + beats.json authored (facts verified) ยท composition QA'd frame-by-frame ยท rendered at scale 1 ยท voice generated with word-exact captions and muxed ยท SFX plan authored + audition mixed (~โ15.5 LUFS, awaiting the user's ear) ยท library used_in updated ยท IDEAS.md queue updated.
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for make-short, ready for a manual X post.
make-short: Build a fully-synthetic vertical short (1080ร1920, ~40s) end-to-end from a topic โ script + b... 206 stars https://www.openagentskill.com/skills/hassancs91-make-short?ref=x
Listing + install path for make-short: https://www.openagentskill.com/skills/hassancs91-make-short?ref=x Install: npx skills add hassancs91/claude-faceless-shorts-creator --skill make-short
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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Install targets
Codex install prompt
Install the "make-short" agent skill from https://github.com/hassancs91/claude-faceless-shorts-creator/tree/main/.claude/skills/make-short. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Build a fully-synthetic vertical short (1080ร1920, ~40s) end-to-end from a topic โ script + beats.json, linked TSX beats over a persistent canvas, phone-scale QA, render, ElevenLabs voice with exact word-synced captions, SFX audition, optional music bed. Use when the user wants to "make a short", "create a shorts video", build a TSX short for a niche (chess, math, algorithms, dev tips, Excelโฆ), add voice/captions to a short, or continue the short-N series in this repo. This is the 100%-TSX track โ for video-model pixels use make-ai-short, for the paper-collage documentary look use make-vox. Defers raw TSX crash rules to vidtsx-2d-generator and SFX taste to suggest-sfx + brand ยง7. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"hassancs91-make-short","task":"Install make-short","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add hassancs91/claude-faceless-shorts-creator --skill make-short
Maintenance
fresh
18d since push
Risk
Risky
Permission surface may require sandboxing
GitHub quality
206
70/100 Quality ยท 76/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing ยท Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
RiskyA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
206 GitHub stars
Repo activity
206 stars, 87 forks
Maintenance
18d since push
License
MIT
Install
npx skills add hassancs91/claude-faceless-shorts-creator --skill make-short
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add hassancs91/claude-faceless-shorts-creator --skill make-shortDo not use when
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20make-short%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20make-short%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/hassancs91-make-short/install
Agent should check
Copy prompt
Task: Use make-short in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20make-short%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/hassancs91-make-short/install
Install command: npx skills add hassancs91/claude-faceless-shorts-creator --skill make-short
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/hassancs91-make-short/install
LLM text format
/api/skills/hassancs91-make-short/install?format=text
Find alternatives
/api/skills/search?q=make-short&limit=3
Agent prompt
Use make-short for this task. Review https://www.openagentskill.com/api/skills/hassancs91-make-short/install, then install with: npx skills add hassancs91/claude-faceless-shorts-creator --skill make-shortRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/hassancs91-make-short
LLM text
/api/registry/manifest/hassancs91-make-short?format=text
Install alias
/api/registry/install/hassancs91-make-short
Recommend
/api/registry/recommend?task=Use%20make-short%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO206 GitHub stars
Stars/forks activity
INFO206 stars, 87 forks; issue activity unavailable in current metadata
Recent maintenance
PASS18d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
Workflow fit
Brief to publish-ready creative
A practical workflow for agents that shape a video brief, create strong multimodal prompts, generate supporting B-roll, and prepare a reviewable short-form or explainer video.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
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--- name: make-short description: Build a fully-synthetic vertical short (1080ร1920, ~40s) end-to-end from a topic โ script + beats.json, linked TSX beats over a persistent canvas, phone-scale QA, render, ElevenLabs voice with exact word-synced captions, SFX audition, optional music bed. Use when the user wants to "make a short", "create a shorts video", build a TSX short for a niche (chess, math, algorithms, dev tips, Excelโฆ), add voice/captions to a short, or continue the short-N series in this repo. This is the 100%-TSX track โ for video-model pixels use make-ai-short, for the paper-collage documentary look use make-vox. Defers raw TSX crash rules to vidtsx-2d-generator and SFX taste to suggest-sfx + brand ยง7. ---
# make-short โ fully-TSX vertical shorts, end to end
Everything is code: no footage, no stock. One short = one Remotion composition fed by a beats contract, with voice and SFX layered on after render. Proven across the 12 example shorts in `shorts/`. The idea bank + niche ranking lives in **`IDEAS.md`** โ read it when picking a topic, and grow it when brainstorming.
Run everything from the **repo root**. Tools are stdlib-only Python 3.10+; `ffmpeg`/`node` must be on PATH; API keys live in `.env` (see `.env.example`).
## Artifact contract
``` shorts/short-N-<niche>/ script.md โ hook, beat sheet table (time | on screen | VO), production notes beats.json โ machine contract: format, vo[] (text+start/end+words), beats[], niche timeline voice/ โ per-line TTS clips + voice.wav (gen_voice.py) [gitignored] sfx-plan.json โ cue sheet on the global timeline (mix_sfx.py) output/ โ short-N-sfx.mp4 (+ music auditions) [gitignored] remotion/src/shots/short-N/ ShortN<Name>.tsx โ THE composition (registered by npm run gen) vo.gen.ts โ AUTO-GENERATED VO with exact word times (never hand-edit) ```
Shared kit: `remotion/src/lib/shorts.tsx` (Captions, Kicker, BigTitle, Stamp, PauseCard, StatChip, ProgressBar, ShortsBackdrop, SAFE areas, prog helper). Niche libs so far: `lib/chess.tsx`, `lib/math.tsx`, `lib/algo.tsx`, `lib/sheet.tsx`, `lib/piano.tsx`, `lib/prob.tsx`, `lib/map.tsx`, `lib/orbit.tsx`, `lib/chart.tsx`, `lib/story.tsx`โฆ **Add at most ONE new niche lib per short**, generic enough for a series.
## Stage 1 โ script + beats
Beat grammar (~38โ42s): **HOOK** (0โ3.4s, frame 0 FULLY composed โ the payoff already visible, no fade from black) โ **SETUP** โ optional **QUIZ** (PauseCard, ~2.5s โ drives comments) โ **REVEAL** in 2โ4 steps, each synced to a VO word โ **TWIST** โ **LOOP** (last frame == frame 0, dissolving the payoff back into the intro so it replays seamlessly).
**Outros โ no fluff.** NEVER end on an old-school engagement-CTA โ no "what should I do next?", no "comment below", no "which one should I break down". They read as dated. End on the PAYOFF line, and let the visual LOOP blend back into the intro โ the loop-into-intro *is* the ending. Prefer a clean visual dissolve/reset that lands the last frame exactly on frame 0. If a seamless loop genuinely isn't possible for a topic, just end on the payoff with no filler. Don't pad the tail: trim the composition so it ends shortly after the payoff, not seconds of dead air.
VO rules: ~100 words total, estimate line windows at **~2.7 words/sec with slack to the next line's start** (tighter forces audible atempo squeeze โ 3.3wps needed a 1.3ร squeeze; 2.7wps peaked at 1.11ร). Facts must be verified before scripting. Write `script.md` + `beats.json` (vo lines with estimated start/end; niche timeline in global SECONDS).
## Stage 2 โ the composition
- One `.tsx` under `remotion/src/shots/short-N/`, `compositionConfig` 1080ร1920 @30, ~42s. Follow vidtsx-2d-generator's hard rules (frame-based only, monotonic ranges, Easing.bezier). - Beats = `<Sequence>` scenes over ONE persistent canvas (the board/equation/array is the continuity โ rewinds and evolutions happen in a single component's timeline, not cuts). - `Captions lines={VO}` + `ProgressBar` mounted at the ROOT (global time), scenes beneath. - **THE recurring bug: frames inside a `<Sequence>` are LOCAL.** Converting a global beat second to a scene cue is `local_f = global_s*fps โ sequence_from`. Check every cue twice. - Frame-0 rule: hook scene uses `warm` props (BigTitle/EqRow) and negative `at`s so highlights/ stamps are already on at f0. Loop scene reverses the hook's punch-in (settle 1.06โ1 vs grow 1โ1.06) so the video loops seamlessly. - Safe areas: captions block centered ~y1500; nothing critical in bottom 340px / right 160px.
## Stage 3 โ QA (do not skip, it catches real bugs every time)
``` cd remotion && npm run gen # frames.mjs does NOT run gen-registry itself node scripts/frames.mjs ShortNName 0,<beat-boundaries+hero-frames>,<last> --scale=0.5 ``` READ every PNG (phone scale). Checklist: frame 0 composed & thumbnail-grade ยท every reveal synced to its beat ยท nothing covering the payoff element ยท kickers swap with the narration ยท captions clear of UI zones ยท loop frame โ frame 0. Fix, re-render frames, only then:
``` node scripts/render-all.mjs ShortNName --scale=1 # -> remotion/out/ShortNName.mp4 ```
## Stage 4 โ voice (ElevenLabs, word-exact captions)
``` python tools/gen_voice.py --beats shorts/short-N-<niche>/beats.json \ --voice TX3LPaxmHKxFdv7VOQHJ --emit-ts remotion/src/shots/short-N/vo.gen.ts ``` - Per-line TTS with `/with-timestamps` โ REAL per-word times (tempo-scaled, global) written into beats.json AND `vo.gen.ts`. The shot imports `{ VO } from './vo.gen'` โ captions then highlight on the exact spoken word. Never estimate when a voice track exists. - Clips are cached by text-hash: rewriting one line only re-bills that line. - Voice: the examples use ElevenLabs premade "Liam" (`TX3LPaxmHKxFdv7VOQHJ`); swap in any voice (including your own clone) with the `--voice` flag + regen. - Then re-render the composition (captions retimed) and mux: `ffmpeg -i remotion/out/<Id>.mp4 -i shorts/.../voice/voice.wav -map 0:v -map 1:a -c:v copy -c:a aac -b:a 192k -t 42 remotion/out/<Id>-voiced.mp4`
## Stage 5 โ SFX (the suggest-sfx machinery, shorts flavor)
Read `brand.md` ยง7 + `media/library/sfx/catalog.json`. Library-first; add generic recipes to `palette.json` + `python tools/gen_sfx.py` only for genuine misses. Author `shorts/short-N-<niche>/sfx-plan.json` (preview = the -voiced.mp4, out = output/short-N-sfx.mp4).
Shorts taste adaptations: **diegetic action sounds are the content** (piece thocks, digit pops) and may exceed long-form density; decorative cues stay `optional: true`; layer the 2โ3 hero moments (capture+stamp, carry flight+landing+chime). Cue times from EXACT landing frames: `at_s = (move.at + move.dur + sequence_from) / fps`.
``` PYTHONIOENCODING=utf-8 python tools/mix_sfx.py shorts/short-N-<niche>/sfx-plan.json --print PYTHONIOENCODING=utf-8 python tools/mix_sfx.py shorts/short-N-<niche>/sfx-plan.json ``` The mix is an AUDITION โ the user's ear is the audit gate before anything is called final. Update catalog `used_in` afterwards.
## Stage 6 โ music (optional, per video)
Library beds in `media/library/music/` (gen_music.py to grow). Audition over the SFX mix: `python tools/mix_music.py --all --base shorts/short-N-<niche>/output/short-N-sfx.mp4` (or `--bed <id>`). Hard-ducked under voice.
## Done =
script.md + beats.json authored (facts verified) ยท composition QA'd frame-by-frame ยท rendered at scale 1 ยท voice generated with word-exact captions and muxed ยท SFX plan authored + audition mixed (~โ15.5 LUFS, awaiting the user's ear) ยท library used_in updated ยท IDEAS.md queue updated.
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Scenario-led draft for make-short, ready for a manual X post.
make-short: Build a fully-synthetic vertical short (1080ร1920, ~40s) end-to-end from a topic โ script + b... 206 stars https://www.openagentskill.com/skills/hassancs91-make-short?ref=x
Listing + install path for make-short: https://www.openagentskill.com/skills/hassancs91-make-short?ref=x Install: npx skills add hassancs91/claude-faceless-shorts-creator --skill make-short
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Install targets
Codex install prompt
Install the "make-short" agent skill from https://github.com/hassancs91/claude-faceless-shorts-creator/tree/main/.claude/skills/make-short. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Build a fully-synthetic vertical short (1080ร1920, ~40s) end-to-end from a topic โ script + beats.json, linked TSX beats over a persistent canvas, phone-scale QA, render, ElevenLabs voice with exact word-synced captions, SFX audition, optional music bed. Use when the user wants to "make a short", "create a shorts video", build a TSX short for a niche (chess, math, algorithms, dev tips, Excelโฆ), add voice/captions to a short, or continue the short-N series in this repo. This is the 100%-TSX track โ for video-model pixels use make-ai-short, for the paper-collage documentary look use make-vox. Defers raw TSX crash rules to vidtsx-2d-generator and SFX taste to suggest-sfx + brand ยง7. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"hassancs91-make-short","task":"Install make-short","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
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Ready
npx skills add hassancs91/claude-faceless-shorts-creator --skill make-short
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fresh
18d since push
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Risky
Permission surface may require sandboxing
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206
70/100 Quality ยท 76/100 Trust
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Permission surface may require sandboxing ยท Financial research output is not financial advice; require human review before any live investment decision
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Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
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Stars
206 GitHub stars
Repo activity
206 stars, 87 forks
Maintenance
18d since push
License
MIT
Install
npx skills add hassancs91/claude-faceless-shorts-creator --skill make-short
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npx skills add hassancs91/claude-faceless-shorts-creator --skill make-shortDo not use when
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medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
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high
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Task: Use make-short in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20make-short%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/hassancs91-make-short/install
Install command: npx skills add hassancs91/claude-faceless-shorts-creator --skill make-short
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/api/skills/hassancs91-make-short/install
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/api/skills/hassancs91-make-short/install?format=text
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/api/skills/search?q=make-short&limit=3
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Use make-short for this task. Review https://www.openagentskill.com/api/skills/hassancs91-make-short/install, then install with: npx skills add hassancs91/claude-faceless-shorts-creator --skill make-shortRegistry metadata
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Agent fit
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A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
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Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
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INFO206 GitHub stars
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INFO206 stars, 87 forks; issue activity unavailable in current metadata
Recent maintenance
PASS18d since push
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Review before install
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Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
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Verify behavior
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Workflow fit
Brief to publish-ready creative
A practical workflow for agents that shape a video brief, create strong multimodal prompts, generate supporting B-roll, and prepare a reviewable short-form or explainer video.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
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๐ต๏ธโโ๏ธ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
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--- name: make-short description: Build a fully-synthetic vertical short (1080ร1920, ~40s) end-to-end from a topic โ script + beats.json, linked TSX beats over a persistent canvas, phone-scale QA, render, ElevenLabs voice with exact word-synced captions, SFX audition, optional music bed. Use when the user wants to "make a short", "create a shorts video", build a TSX short for a niche (chess, math, algorithms, dev tips, Excelโฆ), add voice/captions to a short, or continue the short-N series in this repo. This is the 100%-TSX track โ for video-model pixels use make-ai-short, for the paper-collage documentary look use make-vox. Defers raw TSX crash rules to vidtsx-2d-generator and SFX taste to suggest-sfx + brand ยง7. ---
# make-short โ fully-TSX vertical shorts, end to end
Everything is code: no footage, no stock. One short = one Remotion composition fed by a beats contract, with voice and SFX layered on after render. Proven across the 12 example shorts in `shorts/`. The idea bank + niche ranking lives in **`IDEAS.md`** โ read it when picking a topic, and grow it when brainstorming.
Run everything from the **repo root**. Tools are stdlib-only Python 3.10+; `ffmpeg`/`node` must be on PATH; API keys live in `.env` (see `.env.example`).
## Artifact contract
``` shorts/short-N-<niche>/ script.md โ hook, beat sheet table (time | on screen | VO), production notes beats.json โ machine contract: format, vo[] (text+start/end+words), beats[], niche timeline voice/ โ per-line TTS clips + voice.wav (gen_voice.py) [gitignored] sfx-plan.json โ cue sheet on the global timeline (mix_sfx.py) output/ โ short-N-sfx.mp4 (+ music auditions) [gitignored] remotion/src/shots/short-N/ ShortN<Name>.tsx โ THE composition (registered by npm run gen) vo.gen.ts โ AUTO-GENERATED VO with exact word times (never hand-edit) ```
Shared kit: `remotion/src/lib/shorts.tsx` (Captions, Kicker, BigTitle, Stamp, PauseCard, StatChip, ProgressBar, ShortsBackdrop, SAFE areas, prog helper). Niche libs so far: `lib/chess.tsx`, `lib/math.tsx`, `lib/algo.tsx`, `lib/sheet.tsx`, `lib/piano.tsx`, `lib/prob.tsx`, `lib/map.tsx`, `lib/orbit.tsx`, `lib/chart.tsx`, `lib/story.tsx`โฆ **Add at most ONE new niche lib per short**, generic enough for a series.
## Stage 1 โ script + beats
Beat grammar (~38โ42s): **HOOK** (0โ3.4s, frame 0 FULLY composed โ the payoff already visible, no fade from black) โ **SETUP** โ optional **QUIZ** (PauseCard, ~2.5s โ drives comments) โ **REVEAL** in 2โ4 steps, each synced to a VO word โ **TWIST** โ **LOOP** (last frame == frame 0, dissolving the payoff back into the intro so it replays seamlessly).
**Outros โ no fluff.** NEVER end on an old-school engagement-CTA โ no "what should I do next?", no "comment below", no "which one should I break down". They read as dated. End on the PAYOFF line, and let the visual LOOP blend back into the intro โ the loop-into-intro *is* the ending. Prefer a clean visual dissolve/reset that lands the last frame exactly on frame 0. If a seamless loop genuinely isn't possible for a topic, just end on the payoff with no filler. Don't pad the tail: trim the composition so it ends shortly after the payoff, not seconds of dead air.
VO rules: ~100 words total, estimate line windows at **~2.7 words/sec with slack to the next line's start** (tighter forces audible atempo squeeze โ 3.3wps needed a 1.3ร squeeze; 2.7wps peaked at 1.11ร). Facts must be verified before scripting. Write `script.md` + `beats.json` (vo lines with estimated start/end; niche timeline in global SECONDS).
## Stage 2 โ the composition
- One `.tsx` under `remotion/src/shots/short-N/`, `compositionConfig` 1080ร1920 @30, ~42s. Follow vidtsx-2d-generator's hard rules (frame-based only, monotonic ranges, Easing.bezier). - Beats = `<Sequence>` scenes over ONE persistent canvas (the board/equation/array is the continuity โ rewinds and evolutions happen in a single component's timeline, not cuts). - `Captions lines={VO}` + `ProgressBar` mounted at the ROOT (global time), scenes beneath. - **THE recurring bug: frames inside a `<Sequence>` are LOCAL.** Converting a global beat second to a scene cue is `local_f = global_s*fps โ sequence_from`. Check every cue twice. - Frame-0 rule: hook scene uses `warm` props (BigTitle/EqRow) and negative `at`s so highlights/ stamps are already on at f0. Loop scene reverses the hook's punch-in (settle 1.06โ1 vs grow 1โ1.06) so the video loops seamlessly. - Safe areas: captions block centered ~y1500; nothing critical in bottom 340px / right 160px.
## Stage 3 โ QA (do not skip, it catches real bugs every time)
``` cd remotion && npm run gen # frames.mjs does NOT run gen-registry itself node scripts/frames.mjs ShortNName 0,<beat-boundaries+hero-frames>,<last> --scale=0.5 ``` READ every PNG (phone scale). Checklist: frame 0 composed & thumbnail-grade ยท every reveal synced to its beat ยท nothing covering the payoff element ยท kickers swap with the narration ยท captions clear of UI zones ยท loop frame โ frame 0. Fix, re-render frames, only then:
``` node scripts/render-all.mjs ShortNName --scale=1 # -> remotion/out/ShortNName.mp4 ```
## Stage 4 โ voice (ElevenLabs, word-exact captions)
``` python tools/gen_voice.py --beats shorts/short-N-<niche>/beats.json \ --voice TX3LPaxmHKxFdv7VOQHJ --emit-ts remotion/src/shots/short-N/vo.gen.ts ``` - Per-line TTS with `/with-timestamps` โ REAL per-word times (tempo-scaled, global) written into beats.json AND `vo.gen.ts`. The shot imports `{ VO } from './vo.gen'` โ captions then highlight on the exact spoken word. Never estimate when a voice track exists. - Clips are cached by text-hash: rewriting one line only re-bills that line. - Voice: the examples use ElevenLabs premade "Liam" (`TX3LPaxmHKxFdv7VOQHJ`); swap in any voice (including your own clone) with the `--voice` flag + regen. - Then re-render the composition (captions retimed) and mux: `ffmpeg -i remotion/out/<Id>.mp4 -i shorts/.../voice/voice.wav -map 0:v -map 1:a -c:v copy -c:a aac -b:a 192k -t 42 remotion/out/<Id>-voiced.mp4`
## Stage 5 โ SFX (the suggest-sfx machinery, shorts flavor)
Read `brand.md` ยง7 + `media/library/sfx/catalog.json`. Library-first; add generic recipes to `palette.json` + `python tools/gen_sfx.py` only for genuine misses. Author `shorts/short-N-<niche>/sfx-plan.json` (preview = the -voiced.mp4, out = output/short-N-sfx.mp4).
Shorts taste adaptations: **diegetic action sounds are the content** (piece thocks, digit pops) and may exceed long-form density; decorative cues stay `optional: true`; layer the 2โ3 hero moments (capture+stamp, carry flight+landing+chime). Cue times from EXACT landing frames: `at_s = (move.at + move.dur + sequence_from) / fps`.
``` PYTHONIOENCODING=utf-8 python tools/mix_sfx.py shorts/short-N-<niche>/sfx-plan.json --print PYTHONIOENCODING=utf-8 python tools/mix_sfx.py shorts/short-N-<niche>/sfx-plan.json ``` The mix is an AUDITION โ the user's ear is the audit gate before anything is called final. Update catalog `used_in` afterwards.
## Stage 6 โ music (optional, per video)
Library beds in `media/library/music/` (gen_music.py to grow). Audition over the SFX mix: `python tools/mix_music.py --all --base shorts/short-N-<niche>/output/short-N-sfx.mp4` (or `--bed <id>`). Hard-ducked under voice.
## Done =
script.md + beats.json authored (facts verified) ยท composition QA'd frame-by-frame ยท rendered at scale 1 ยท voice generated with word-exact captions and muxed ยท SFX plan authored + audition mixed (~โ15.5 LUFS, awaiting the user's ear) ยท library used_in updated ยท IDEAS.md queue updated.
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for make-short, ready for a manual X post.
make-short: Build a fully-synthetic vertical short (1080ร1920, ~40s) end-to-end from a topic โ script + b... 206 stars https://www.openagentskill.com/skills/hassancs91-make-short?ref=x
Listing + install path for make-short: https://www.openagentskill.com/skills/hassancs91-make-short?ref=x Install: npx skills add hassancs91/claude-faceless-shorts-creator --skill make-short
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Install targets
Codex install prompt
Install the "make-short" agent skill from https://github.com/hassancs91/claude-faceless-shorts-creator/tree/main/.claude/skills/make-short. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Build a fully-synthetic vertical short (1080ร1920, ~40s) end-to-end from a topic โ script + beats.json, linked TSX beats over a persistent canvas, phone-scale QA, render, ElevenLabs voice with exact word-synced captions, SFX audition, optional music bed. Use when the user wants to "make a short", "create a shorts video", build a TSX short for a niche (chess, math, algorithms, dev tips, Excelโฆ), add voice/captions to a short, or continue the short-N series in this repo. This is the 100%-TSX track โ for video-model pixels use make-ai-short, for the paper-collage documentary look use make-vox. Defers raw TSX crash rules to vidtsx-2d-generator and SFX taste to suggest-sfx + brand ยง7. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"hassancs91-make-short","task":"Install make-short","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add hassancs91/claude-faceless-shorts-creator --skill make-short
Maintenance
fresh
18d since push
Risk
Risky
Permission surface may require sandboxing
GitHub quality
206
70/100 Quality ยท 76/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing ยท Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
RiskyA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
206 GitHub stars
Repo activity
206 stars, 87 forks
Maintenance
18d since push
License
MIT
Install
npx skills add hassancs91/claude-faceless-shorts-creator --skill make-short
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add hassancs91/claude-faceless-shorts-creator --skill make-shortDo not use when
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20make-short%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20make-short%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/hassancs91-make-short/install
Agent should check
Copy prompt
Task: Use make-short in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20make-short%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/hassancs91-make-short/install
Install command: npx skills add hassancs91/claude-faceless-shorts-creator --skill make-short
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/hassancs91-make-short/install
LLM text format
/api/skills/hassancs91-make-short/install?format=text
Find alternatives
/api/skills/search?q=make-short&limit=3
Agent prompt
Use make-short for this task. Review https://www.openagentskill.com/api/skills/hassancs91-make-short/install, then install with: npx skills add hassancs91/claude-faceless-shorts-creator --skill make-shortRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/hassancs91-make-short
LLM text
/api/registry/manifest/hassancs91-make-short?format=text
Install alias
/api/registry/install/hassancs91-make-short
Recommend
/api/registry/recommend?task=Use%20make-short%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO206 GitHub stars
Stars/forks activity
INFO206 stars, 87 forks; issue activity unavailable in current metadata
Recent maintenance
PASS18d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Verify behavior
I need my agent to test a web app, reproduce bugs, and verify fixes.
Workflow fit
Brief to publish-ready creative
A practical workflow for agents that shape a video brief, create strong multimodal prompts, generate supporting B-roll, and prepare a reviewable short-form or explainer video.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
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Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: make-short description: Build a fully-synthetic vertical short (1080ร1920, ~40s) end-to-end from a topic โ script + beats.json, linked TSX beats over a persistent canvas, phone-scale QA, render, ElevenLabs voice with exact word-synced captions, SFX audition, optional music bed. Use when the user wants to "make a short", "create a shorts video", build a TSX short for a niche (chess, math, algorithms, dev tips, Excelโฆ), add voice/captions to a short, or continue the short-N series in this repo. This is the 100%-TSX track โ for video-model pixels use make-ai-short, for the paper-collage documentary look use make-vox. Defers raw TSX crash rules to vidtsx-2d-generator and SFX taste to suggest-sfx + brand ยง7. ---
# make-short โ fully-TSX vertical shorts, end to end
Everything is code: no footage, no stock. One short = one Remotion composition fed by a beats contract, with voice and SFX layered on after render. Proven across the 12 example shorts in `shorts/`. The idea bank + niche ranking lives in **`IDEAS.md`** โ read it when picking a topic, and grow it when brainstorming.
Run everything from the **repo root**. Tools are stdlib-only Python 3.10+; `ffmpeg`/`node` must be on PATH; API keys live in `.env` (see `.env.example`).
## Artifact contract
``` shorts/short-N-<niche>/ script.md โ hook, beat sheet table (time | on screen | VO), production notes beats.json โ machine contract: format, vo[] (text+start/end+words), beats[], niche timeline voice/ โ per-line TTS clips + voice.wav (gen_voice.py) [gitignored] sfx-plan.json โ cue sheet on the global timeline (mix_sfx.py) output/ โ short-N-sfx.mp4 (+ music auditions) [gitignored] remotion/src/shots/short-N/ ShortN<Name>.tsx โ THE composition (registered by npm run gen) vo.gen.ts โ AUTO-GENERATED VO with exact word times (never hand-edit) ```
Shared kit: `remotion/src/lib/shorts.tsx` (Captions, Kicker, BigTitle, Stamp, PauseCard, StatChip, ProgressBar, ShortsBackdrop, SAFE areas, prog helper). Niche libs so far: `lib/chess.tsx`, `lib/math.tsx`, `lib/algo.tsx`, `lib/sheet.tsx`, `lib/piano.tsx`, `lib/prob.tsx`, `lib/map.tsx`, `lib/orbit.tsx`, `lib/chart.tsx`, `lib/story.tsx`โฆ **Add at most ONE new niche lib per short**, generic enough for a series.
## Stage 1 โ script + beats
Beat grammar (~38โ42s): **HOOK** (0โ3.4s, frame 0 FULLY composed โ the payoff already visible, no fade from black) โ **SETUP** โ optional **QUIZ** (PauseCard, ~2.5s โ drives comments) โ **REVEAL** in 2โ4 steps, each synced to a VO word โ **TWIST** โ **LOOP** (last frame == frame 0, dissolving the payoff back into the intro so it replays seamlessly).
**Outros โ no fluff.** NEVER end on an old-school engagement-CTA โ no "what should I do next?", no "comment below", no "which one should I break down". They read as dated. End on the PAYOFF line, and let the visual LOOP blend back into the intro โ the loop-into-intro *is* the ending. Prefer a clean visual dissolve/reset that lands the last frame exactly on frame 0. If a seamless loop genuinely isn't possible for a topic, just end on the payoff with no filler. Don't pad the tail: trim the composition so it ends shortly after the payoff, not seconds of dead air.
VO rules: ~100 words total, estimate line windows at **~2.7 words/sec with slack to the next line's start** (tighter forces audible atempo squeeze โ 3.3wps needed a 1.3ร squeeze; 2.7wps peaked at 1.11ร). Facts must be verified before scripting. Write `script.md` + `beats.json` (vo lines with estimated start/end; niche timeline in global SECONDS).
## Stage 2 โ the composition
- One `.tsx` under `remotion/src/shots/short-N/`, `compositionConfig` 1080ร1920 @30, ~42s. Follow vidtsx-2d-generator's hard rules (frame-based only, monotonic ranges, Easing.bezier). - Beats = `<Sequence>` scenes over ONE persistent canvas (the board/equation/array is the continuity โ rewinds and evolutions happen in a single component's timeline, not cuts). - `Captions lines={VO}` + `ProgressBar` mounted at the ROOT (global time), scenes beneath. - **THE recurring bug: frames inside a `<Sequence>` are LOCAL.** Converting a global beat second to a scene cue is `local_f = global_s*fps โ sequence_from`. Check every cue twice. - Frame-0 rule: hook scene uses `warm` props (BigTitle/EqRow) and negative `at`s so highlights/ stamps are already on at f0. Loop scene reverses the hook's punch-in (settle 1.06โ1 vs grow 1โ1.06) so the video loops seamlessly. - Safe areas: captions block centered ~y1500; nothing critical in bottom 340px / right 160px.
## Stage 3 โ QA (do not skip, it catches real bugs every time)
``` cd remotion && npm run gen # frames.mjs does NOT run gen-registry itself node scripts/frames.mjs ShortNName 0,<beat-boundaries+hero-frames>,<last> --scale=0.5 ``` READ every PNG (phone scale). Checklist: frame 0 composed & thumbnail-grade ยท every reveal synced to its beat ยท nothing covering the payoff element ยท kickers swap with the narration ยท captions clear of UI zones ยท loop frame โ frame 0. Fix, re-render frames, only then:
``` node scripts/render-all.mjs ShortNName --scale=1 # -> remotion/out/ShortNName.mp4 ```
## Stage 4 โ voice (ElevenLabs, word-exact captions)
``` python tools/gen_voice.py --beats shorts/short-N-<niche>/beats.json \ --voice TX3LPaxmHKxFdv7VOQHJ --emit-ts remotion/src/shots/short-N/vo.gen.ts ``` - Per-line TTS with `/with-timestamps` โ REAL per-word times (tempo-scaled, global) written into beats.json AND `vo.gen.ts`. The shot imports `{ VO } from './vo.gen'` โ captions then highlight on the exact spoken word. Never estimate when a voice track exists. - Clips are cached by text-hash: rewriting one line only re-bills that line. - Voice: the examples use ElevenLabs premade "Liam" (`TX3LPaxmHKxFdv7VOQHJ`); swap in any voice (including your own clone) with the `--voice` flag + regen. - Then re-render the composition (captions retimed) and mux: `ffmpeg -i remotion/out/<Id>.mp4 -i shorts/.../voice/voice.wav -map 0:v -map 1:a -c:v copy -c:a aac -b:a 192k -t 42 remotion/out/<Id>-voiced.mp4`
## Stage 5 โ SFX (the suggest-sfx machinery, shorts flavor)
Read `brand.md` ยง7 + `media/library/sfx/catalog.json`. Library-first; add generic recipes to `palette.json` + `python tools/gen_sfx.py` only for genuine misses. Author `shorts/short-N-<niche>/sfx-plan.json` (preview = the -voiced.mp4, out = output/short-N-sfx.mp4).
Shorts taste adaptations: **diegetic action sounds are the content** (piece thocks, digit pops) and may exceed long-form density; decorative cues stay `optional: true`; layer the 2โ3 hero moments (capture+stamp, carry flight+landing+chime). Cue times from EXACT landing frames: `at_s = (move.at + move.dur + sequence_from) / fps`.
``` PYTHONIOENCODING=utf-8 python tools/mix_sfx.py shorts/short-N-<niche>/sfx-plan.json --print PYTHONIOENCODING=utf-8 python tools/mix_sfx.py shorts/short-N-<niche>/sfx-plan.json ``` The mix is an AUDITION โ the user's ear is the audit gate before anything is called final. Update catalog `used_in` afterwards.
## Stage 6 โ music (optional, per video)
Library beds in `media/library/music/` (gen_music.py to grow). Audition over the SFX mix: `python tools/mix_music.py --all --base shorts/short-N-<niche>/output/short-N-sfx.mp4` (or `--bed <id>`). Hard-ducked under voice.
## Done =
script.md + beats.json authored (facts verified) ยท composition QA'd frame-by-frame ยท rendered at scale 1 ยท voice generated with word-exact captions and muxed ยท SFX plan authored + audition mixed (~โ15.5 LUFS, awaiting the user's ear) ยท library used_in updated ยท IDEAS.md queue updated.
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for make-short, ready for a manual X post.
make-short: Build a fully-synthetic vertical short (1080ร1920, ~40s) end-to-end from a topic โ script + b... 206 stars https://www.openagentskill.com/skills/hassancs91-make-short?ref=x
Listing + install path for make-short: https://www.openagentskill.com/skills/hassancs91-make-short?ref=x Install: npx skills add hassancs91/claude-faceless-shorts-creator --skill make-short
Listing source
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to hassancs91 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
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[](https://www.openagentskill.com/skills/hassancs91-make-short?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/hassancs91-make-short?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/hassancs91-make-short/audit)
[](https://www.openagentskill.com/skills/hassancs91-make-short?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)hassancs91
@hassancs91
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
16.3K StarsMaigret
๐ต๏ธโโ๏ธ Collect a dossier on a person by username from 3000+ sites
32.9K StarsNuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K StarsPermission surface
secrets or environment access, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness