produce-video
Use when the user wants to turn a raw talking-head / screen-share recording into a finished, edited, annotated video plus a full content package. Removes silences, flags mistakes for the user to cut, transcribes, adds transcript-synced overlays (code, on-screen code highlights, w
Supply asset profile
Design and creative production
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add AlemTuzlak/skills --skill produce-video
Maintenance
fresh
2d since push
Risk
Needs review
License is unclear
GitHub quality
39
57/100 Quality · 62/100 Trust
Coverage tags
Review notes
License is unclear · Dependency or permission surface needs review
Agent adoption scorecard
Trust, audit, and install readiness at a glance
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
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
39 GitHub stars
Repo activity
39 stars, 0 forks
Maintenance
2d since push
License
Unknown
Install
npx skills add AlemTuzlak/skills --skill produce-video
Install safety
standard package or runtime install path
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Repository license is unknown; without a clear license, reuse and attribution are ambiguous.
- License is unclear
- Low GitHub adoption signal
- Quality score needs review
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is unclear
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
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
- Content automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Summarize source material
Suited agents
Install decision
- Command
- npx skills add AlemTuzlak/skills --skill produce-video
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 54/100
- Audit
- 70/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add AlemTuzlak/skills --skill produce-videoDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- Repository license is unknown; without a clear license, reuse and attribution are ambiguous.
- High-risk permission hints: Shell or command execution
Alternative
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Agent safety v2
38/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Browser automation
Skill may drive a browser or interact with web pages.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- High-risk permission hints: Shell or command execution
- License is unclear
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install alemtuzlak-produce-videoAgent resolve plan
Let an agent verify fit before installing.
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%20produce-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20produce-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/alemtuzlak-produce-video/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use produce-video in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20produce-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/alemtuzlak-produce-video/install
Install command: npx skills add AlemTuzlak/skills --skill produce-video
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/alemtuzlak-produce-video/install
LLM text format
/api/skills/alemtuzlak-produce-video/install?format=text
Find alternatives
/api/skills/search?q=produce-video&limit=3
Agent prompt
Use produce-video for this task. Review https://www.openagentskill.com/api/skills/alemtuzlak-produce-video/install, then install with: npx skills add AlemTuzlak/skills --skill produce-videoRegistry metadata
Agent-readable profile for automatic skill selection.
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/alemtuzlak-produce-video
LLM text
/api/registry/manifest/alemtuzlak-produce-video?format=text
Install alias
/api/registry/install/alemtuzlak-produce-video
Recommend
/api/registry/recommend?task=Use%20produce-video%20in%20an%20agent%20workflow&limit=3
Agent fit
Content automation
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
Needs review · 70/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Needs validation for Content automation
Do a manual repository review before adding this to an agent workflow.
Role in stack
Needs validation
Primary fit
Content automation
Trust label
Needs manual review
Install path
Command ready
Use when
- Content automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 57/100 quality profile
- 2 OpenAgentSkill engagement events
review first
- Low GitHub adoption signal
- Repository license is unknown; without a clear license, reuse and attribution are ambiguous.
Implementation path
- 1Install it in a sandbox agent and run one Content automation task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
CHECK39 GitHub stars
Stars/forks activity
CHECK39 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
CHECKUnknown
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Repository license is unknown; without a clear license, reuse and attribution are ambiguous.
- License is unclear
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 39 GitHub stars
- Stars/forks activity: 39 stars, 0 forks; issue activity unavailable in current metadata
- License clarity: Unknown
- Dependency/runtime risk: command execution surface, external package install surface
- Permission surface: shell or command execution, filesystem or document access
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Publish consistently
Content automation
I need my agent to turn research and product updates into useful content drafts.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Process rich media
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Workflow fit
Add it to a complete workflow
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
Web data pipeline
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
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Overview
--- name: produce-video description: Use when the user wants to turn a raw talking-head / screen-share recording into a finished, edited, annotated video plus a full content package. Removes silences, flags mistakes for the user to cut, transcribes, adds transcript-synced overlays (code, on-screen code highlights, word highlights, lists, comparisons, diagrams, section labels, punch-in zooms), renders with original audio, then generates blog/socials/YouTube content. Triggers on "produce a video", "edit my video", "annotate my recording", "/produce-video". ---
# Produce Video
Take a recording the user provides and turn it into a finished video. The recording is the spine and drives the timeline; this skill edits (silence + chosen mistakes/pacing) and augments (overlays), then renders and generates launch content. It does NOT author a synthetic video — for PR-driven synthetic promos use `hyperframes-video` instead.
**Quality principle (non-negotiable): every footage step preserves the original quality.** Never let a tool re-encode the footage at low quality. De-silence and cuts run at near-lossless CRF 12 from the original (auto-editor is used only to DETECT silence, never to encode — its default crushes footage to ~0.6 Mbps), and the render runs at CRF 12. CRF gives small files for static screencasts; that is full quality, not loss.
## Relation to other skills (delegate, don't re-derive) - **`/transcribe-video`** — all transcription (returns word-level `transcript.words.json`). Invoke it; do not transcribe by hand. - **`hyperframes`** — composition authoring rules (Visual Identity Gate, Layout Before Animation, timeline contract, video/overlay layering). **Invoke before writing/mounting any composition HTML.** - **`hyperframes-cli`** — every `npx hyperframes` command (init, lint, inspect, preview, render). - **`gsap`** — GSAP timeline/easing patterns for overlays. - **`youtube-copy`** — YouTube title/description/tags/chapters (P6). - **`blog-post`** — the blog post (P6). - **`social-copy`** — X/Bluesky/LinkedIn/Reddit copy (P6).
## Bundled assets - `scripts/desilence.mjs` — auto-editor silence removal + before/after duration. - `scripts/extract-frame.mjs` — single-frame grab (framing detection + on-screen highlight). - `scripts/bake-cuts.mjs` — ffmpeg trim/concat cutter (dense keyframes) used in P2. - `templates/overlays/*.html` — 9 overlay sub-composition templates (filled per instance; sub-comps are standalone HTML docs in the installed CLI — read each file's header comment). - `templates/project/{DESIGN.md,styles.css}` — Visual Identity Gate + brand `var(--brand-*)` tokens the overlays consume. - `references/` — `mistake-detection.md`, `overlay-triggers.md`, `framing-safe-zones.md`, `frame-analysis.md`. - **P6 content generation is delegated to the `youtube-copy`, `blog-post`, and `social-copy` skills** (no vendored LLM script).
## Gates (non-negotiable) 1. **P2 mistake review is VISUAL, never terminal** — whenever ≥1 flag exists, the agent ALWAYS builds the hyperframes marker preview (markers on the video at each flagged span) and launches it, so the user decides by *watching*. Do NOT present the flags as a terminal table/question for the user to decide from, and do NOT make the preview optional or ask "want me to show you?" — just build it and open it. A short terminal summary of the flags is fine, but the decision surface is the preview. Never auto-apply a cut/ramp. 2. **P4 overlay plan approval** — present the timestamped overlay table; no build until approved. 3. **Preview is always agent-launched** — for both the P2 review and the P5 review, the agent starts `npx hyperframes preview` and opens the browser tab itself. NEVER ask the user to run preview or open a URL, and NEVER substitute a terminal-only summary for the live preview. 4. **Explicit-render HARD-GATE** — render runs ONLY on an explicit user render command ("render", "ship it"). After a render, edit requests return to the preview loop and do NOT re-render until the user explicitly says so again. Every render needs its own fresh command. This overrides any "use sane defaults / non-interactive / just ship it" phrasing.
"Use sane defaults" / "don't ask questions" skips the *configuration questions* (P0) and the iteration prompting — it NEVER skips the approval gates, the agent-launched preview, or the explicit-render gate.
## Process
### Preflight — check dependencies & skills (run FIRST, before P0) Verify the environment before doing any work; warn the user about anything missing and how to fix it. - **auto-editor** (required for P1 de-silence): run `auto-editor --version`. If it is not installed, STOP and tell the user: *"auto-editor is not installed - install it with `pipx install auto-editor` (or `pip install auto-editor`), then re-run."* Do not attempt P1 without it. - **ffmpeg / ffprobe** (REQUIRED — P2 cuts, P4 frame analysis, P5 render, audio): run `ffmpeg -version`. If missing, STOP and tell the user to install ffmpeg and add it to PATH. The pipeline cannot run without it. - **Docker** (for `/transcribe-video`): `docker info`. Warn if the daemon is down (start Docker Desktop). - **Node >= 22**: `node --version`. Warn if older. - **Required skills** — confirm these are available (try to invoke / check the skill list); warn for any missing and which phase it blocks: - `transcribe-video` (P2/P3 transcription), `hyperframes` + `hyperframes-cli` + `gsap` (P2/P4/P5 composition & render), `youtube-copy` + `social-copy` (P6). `blog-post` only if the user opts into a blog (P6, optional). - Summarize the preflight result in one short block (what's present, what's missing). Only proceed past a missing **required** dependency/skill if the user explicitly says to continue without it (and note the degraded result).
### P0 — Input & configuration - Input: path to the raw recording (required). - Optional: a repo/files for real code grounding; visual style/brand (else run the `hyperframes` Visual Identity Gate — detect from the repo, else ask 3 style questions; write `templates/project/DESIGN.md` + brand values into `styles.css`); overlay **density** (sparse / balanced / rich). - **Single output folder (`<OUT>`):** everything this skill produces lives under ONE folder, default `<recording-dir>/<video-slug>-produced/` (override with a user-supplied path). Create it now. Final structure: ``` <OUT>/ final.mp4 # rendered video (P5) hyperframes/ # the HyperFrames project: index.html, styles.css, DESIGN.md, compositions/, renders/ (P4–P5) transcript.txt # final edited transcript (P3 / P6) transcript.srt transcript.words.json youtube.md # P6 socials.md # P6 blog.md # P6 .work/ # intermediates: 01_desilenced.mp4, 02_edit_N.mp4, frames/ (prunable in P7) ``` All subsequent phases write inside `<OUT>` — never scatter outputs elsewhere. `<work>` below = `<OUT>/.work`.
### P1 — De-silence (lossless) ``` node scripts/desilence.mjs <input> --out <work>/01_desilenced.mp4 --margin 0.3s ``` `desilence.mjs` uses auto-editor ONLY to detect the silent ranges (`--export v3`), then cuts the ORIGINAL with ffmpeg at near-lossless CRF 12, keeping the original audio. **Do NOT let auto-editor encode the output** — its default re-encode crushes the footage to ~0.6 Mbps and permanently blurs it (faces especially); no downstream bitrate can recover that. Report before/after duration and seconds removed. This becomes the working copy.
### P2 — Mistake & pacing review loop (approval gate) 1. Transcribe the working copy: invoke `/transcribe-video` on `<work>/01_desilenced.mp4` with `--out <work>` → working transcript (intermediate; superseded by the P3 final transcript). 2. Detect flags per `references/mistake-detection.md` (cuts + speed-ramps), snapped to word boundaries. 3. **Always (whenever ≥1 flag exists) build the visual review.** Scaffold a lightweight hyperframes project with the de-silenced video as the base track; place visually-distinct temporary markers ON THE VIDEO at each flagged span (cut = red strike, ramp = amber fast-forward, each labeled with the excerpt + its index). **Agent starts `npx hyperframes preview` and opens the browser itself** (per `references/framing-safe-zones.md`). This is the decision surface — never replace it with a terminal table. A one-line terminal note ("3 flags marked in the preview — review and tell me which to cut/ramp/keep") is the most the terminal should carry. 4. The user watches the marked preview and picks per span: cut / speed-ramp (factor, default ~1.5–2×) / leave / add their own ranges. 5. Bake selections → `<work>/02_edit_N.mp4`, then re-preview: - **Cuts:** use `node scripts/bake-cuts.mjs <input> --out <work>/02_edit_N.mp4 --cut s,e --cut s,e …` (ffmpeg trim/concat at near-lossless CRF 12 by default — trims video+audio identically in one pass). **Do NOT use auto-editor `--cut-out` for the mistake cuts** — its variadic arg mis-assigns the last range as a positional input, it re-encodes lossily, and a select-filter approach desyncs audio. - **Speed-ramps:** auto-editor `--set-speed-for-range speed,s,e` (pitch preserved); pass ONE range per invocation, or place `--set-speed-for-range` last on the command line, to dodge the same variadic-arg pitfall. - All cut/ramp timestamps are on the **de-silenced** timeline (the transcript the flags came from). Apply cuts and ramps in the same round against that timeline. 6. Loop until the user says "done". Drift guard: after ~10 rounds offer to reset to an earlier intermediate. Final artifact: `<work>/final_cut.mp4`.
Cuts and ramps are baked into the footage HERE (before P3) so the final transcript's word timestamps match the edited timeline.
### P3 — Final transcription Invoke `/transcribe-video` on `<work>/final_cut.mp4` with `--out <OUT>` so `transcript.txt` / `transcript.srt` / `transcript.words.json` land at the top of the output folder. This word-timestamped transcript is the sync source for all overlays (P4) and the input to content generation (P6).
### P4 — Overlay design & build (approval gate) 1. **Framing detection** (`references/framing-safe-zones.md`): sample frames with `extract-frame.mjs`, classify phases, confirm phases + safe zones with the user. 2. **Overlay-trigger detection** (`references/overlay-triggers.md`): scan the word-timestamped transcript → overlay plan rows `{start, est_duration, type, content, safe_zone, why}`. For on-screen code, use `references/frame-analysis.md` (extract frame → locate → normalized box → stability guard). For code cards, repo-if-available-else-synthesize (flag synthesized). 3. **Self-improvement pass** (≥2 iterations): honor density, enforce gaps + dwell minimums, validate every overlay against the active phase's safe zone. 4. **Approval gate:** present the timestamped table; user edits/removes/retimes/adds. Synthesized code shown for verification. No build until approved. 5. **Build** (invoke `hyperframes` + `gsap` first): - `npx hyperframes init <OUT>/hyperframes --video <OUT>/.work/final_cut.mp4` (the project lives at `<OUT>/hyperframes`; base: video track 0 `muted playsinline`; audio on a separate track at volume 1 so the voice plays). **Read the generated `index.html` to learn this CLI version's sub-composition include syntax.** - Copy `templates/project/styles.css` (with the confirmed brand values) into `<OUT>/hyperframes`. - For each approved row: instantiate the matching `templates/overlays/*.html`, give it a unique composition id + `data-composition-id`, fill its `{{tokens}}`, set `data-start` = the transcript timestamp and `data-duration` = the dwell, mount it above the video. Punch-in zooms scale the video's WRAPPER div (never the `<video>`). - Output dimensions inherit the source recording. - **Readability (non-negotiable): all overlay text must be clearly legible over ANY video background.** Every text gro
Technical details
- Version
- 1.0.0
- License
- Unknown
- Last updated
- Aug 20, 2026
- Published
- Aug 20, 2026
Decision snapshot
Needs validation
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 66/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
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
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for produce-video, ready for a manual X post.
produce-video: Use when the user wants to turn a raw talking-head / screen-share recording into a finished,... 39 stars https://www.openagentskill.com/skills/alemtuzlak-produce-video?ref=x
Optional reply with install command
Listing + install path for produce-video: https://www.openagentskill.com/skills/alemtuzlak-produce-video?ref=x Install: npx skills add AlemTuzlak/skills --skill produce-video
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- AlemTuzlak
- Source
- AlemTuzlak/skills
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to AlemTuzlak 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.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/alemtuzlak-produce-video)
[](https://www.openagentskill.com/skills/alemtuzlak-produce-video)
[](https://www.openagentskill.com/skills/alemtuzlak-produce-video/audit)
[](https://www.openagentskill.com/skills/alemtuzlak-produce-video)Author
AlemTuzlak
@alemtuzlak
Tags
Platform fit
Health signals
- GitHub stars
- 39
- Quality score
- 34/100
- Last GitHub push
- Aug 20, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 2
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Do not auto-install
- GitHub adoption39 GitHub starsCHECK
- Stars/forks activity39 stars, 0 forks; issue activity unavailable in current metadataCHECK
- Recent maintenance2d since pushPASS
- License clarityUnknownCHECK
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surface, external package install surfaceCHECK
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