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
Profil de l’actif
Design et production créative
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scénario
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Adéquation Agent
Claude Code + Browser agents + CLI
Compatible avec Codex, Claude Code, Cursor, CLI ou des Agents personnalisés.
Installer
Prêt
npx skills add AlemTuzlak/skills --skill produce-video
Maintenance
À jour
3 jours depuis le dernier push
Risque
Revue nécessaire
La licence est ambiguë
Qualité GitHub
39
57/100 Qualité · 62/100 Confiance
Tags de couverture
Notes de revue
La licence est ambiguë · Dependency or permission surface needs review
Carte d’adoption Agent
Confiance, audit et préparation à l’installation en un coup d’œil
Ces scores combinent les métadonnées publiques du dépôt, les signaux de revue OpenAgentSkill, la fraîcheur de maintenance et la préparation à l’installation. Ils servent à présélectionner et ne remplacent pas la revue humaine.
Qualité
PrometteurUseful candidate, but compare it with alternatives before adopting.
Confiance
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Revue nécessaireRevue lisible par machine de la préparation à l’installation, des métadonnées de sécurité, de la maintenance et du risque d’adoption.
Trust Score OpenAgentSkill v5
Revue humaine avant installation
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
39 stars GitHub
Activité du dépôt
39 stars et 0 forks
Maintenance
3 jours depuis le dernier push
Licence
Inconnu
Installer
npx skills add AlemTuzlak/skills --skill produce-video
Sécurité d’installation
Chemin d’installation standard de package ou runtime
Surface de permissions
shell or command execution, filesystem or document access
Résultats Agent
Pas encore de données de résultats Agent
Documentation
Contexte README/SKILL.md solide
Résumé des risques
Revoir avant production
- Repository license is unknown; without a clear license, reuse and attribution are ambiguous.
- La licence est ambiguë
- Low GitHub adoption signal
- Quality score needs review
Préparation à l’installation
Chemin d’installation disponible
- Le chemin d’installation est disponible
- La preuve du dépôt est disponible
- La licence est ambiguë
- Pas encore de preuve de résultat Agent-Proven
Métadonnées lisibles par Agent
Données de décision lisibles par machine pour ce skill.
Utilisez ce bloc ou le JSON intégré pour décider si un Agent doit installer ce skill, choisir une alternative ou demander d’abord une revue humaine.
Tâches adaptées
- workflows Content automation
- Équipes Claude Code
- builders willing to evaluate younger projects
- Summarize source material
Agents adaptés
Décision d’installation
- Commande
- npx skills add AlemTuzlak/skills --skill produce-video
- Politique
- Revoir
- Revue humaine
- Oui
Confiance et risque
- Confiance
- 54/100
- Audit
- 70/100
- Niveau de risque
- Revue nécessaire
Boucle de résultat
- Endpoint
- /api/agent/outcome
- ID d’événement
- resolve
- Résultats
- 5
Commande d’installation
npx skills add AlemTuzlak/skills --skill produce-videoNe pas utiliser quand
- Équipes qui nécessitent un SLA soutenu par le fournisseur
- production agents without a repository review
- Low GitHub adoption signal
- Repository license is unknown; without a clear license, reuse and attribution are ambiguous.
- Indices de permissions à haut risque : exécution shell ou de commande
Skill alternatif
Frontend Design
171.1K Stars
npx skills add anthropics/skills --skill frontend-design
Skill alternatif
Taste Skill: Anti-Slop Frontend
79.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Skill alternatif
Canvas Design
171.1K Stars
npx skills add anthropics/skills --skill canvas-design
Skill alternatif
Anthropic Brand Guidelines
171.1K Stars
npx skills add anthropics/skills --skill brand-guidelines
Sécurité Agent v2
38/100 · Éviter l’installation automatique
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Élevé
Exécution shell ou de commande
Les métadonnées de la skill font référence à des workflows de terminal, CLI, shell, sous-processus ou exécution de commande.
Moyen
Browser automation
Skill may drive a browser or interact with web pages.
Moyen
Accès réseau
La skill récupère probablement des pages distantes, API, dépôts ou services externes.
Moyen
Accès au système de fichiers
La skill peut lire ou écrire des fichiers de projet, documents, artefacts générés ou l’état local de l’espace de travail.
- Indices de permissions à haut risque : exécution shell ou de commande
- La licence est ambiguë
Cibles d’installation
Installer ce skill dans votre workflow Agent
Utilisez le point de terminaison public pour récupérer la commande, la checklist, les prompts et les liens canoniques.
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-videoPlan de résolution Agent
Laissez un Agent vérifier la pertinence avant l’installation.
L’API Resolve renvoie la skill sélectionnée, des alternatives, la politique de sécurité, les notes d’audit, la cible d’installation et un prompt prêt à l’emploi.
Ouvrir JSON
/api/agent/resolve?task=Use%20produce-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Texte Resolve
/api/agent/resolve?task=Use%20produce-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Relais d’installation
/api/skills/alemtuzlak-produce-video/install
L’Agent doit vérifier
- 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.
Copier le 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.Relais Agent
Donnez à l’Agent le chemin d’installation, pas un autre annuaire.
Utilisez le point de terminaison public pour récupérer la commande, la checklist, les prompts et les liens canoniques.
Relais d’installation
/api/skills/alemtuzlak-produce-video/install
Format texte LLM
/api/skills/alemtuzlak-produce-video/install?format=text
Trouver des alternatives
/api/skills/search?q=produce-video&limit=3
Prompt Agent
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-videoMétadonnées Registry
Profil lisible par Agent pour la sélection automatique de skills.
L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.
Manifest
/api/registry/manifest/alemtuzlak-produce-video
Texte LLM
/api/registry/manifest/alemtuzlak-produce-video?format=text
Alias d’installation
/api/registry/install/alemtuzlak-produce-video
Recommander
/api/registry/recommend?task=Use%20produce-video%20in%20an%20agent%20workflow&limit=3
Adéquation Agent
Content automation
Tags de cas d’usage
Plateformes
Claude Code, Browser agents
Rapport d’audit
Revue nécessaire · 70/100
Revue lisible par machine de la préparation à l’installation, des métadonnées de sécurité, de la maintenance et du risque d’adoption.
Panneau de décision Agent
Needs validation for Content automation
Do a manual repository review before adding this to an agent workflow.
Rôle dans la pile
Validation nécessaire
Pertinence principale
Content automation
Libellé de confiance
Revue manuelle nécessaire
Chemin d’installation
Commande prête
À utiliser lorsque
- workflows Content automation
- Équipes Claude Code
- builders willing to evaluate younger projects
Preuves
- recent repository activity
- install command or GitHub repo available
- profil qualité 57/100
- 2 événements OpenAgentSkill
revoir d’abord
- Low GitHub adoption signal
- Repository license is unknown; without a clear license, reuse and attribution are ambiguous.
Chemin d’implémentation
- 1Installez-le dans un Agent en sandbox et exécutez une tâche de Content automation de bout en bout.
- 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.
Profil de confiance
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Adoption GitHub
Vérifier39 stars GitHub
Activité stars/forks
Vérifier39 stars et 0 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé3 jours depuis le dernier push
Clarté de licence
VérifierInconnu
Signaux positifs
- Revue IA approuvée
- Le chemin d’installation est disponible
- La preuve du dépôt est disponible
- Dépôt maintenu récemment
- La commande d’installation ne présente aucun motif de haut risque évident
- La boucle de résultats est prête mais nécessite la première exécution réelle de l’Agent
Réviser avant installation
- Repository license is unknown; without a clear license, reuse and attribution are ambiguous.
- La licence est ambiguë
- 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
- Pas encore de rapports de résultats Agent réels
- Une revue humaine est requise avant une installation sans surveillance
Action recommandée
Choose a stronger alternative or inspect the source manually before any install attempt.
Profil qualité
Prometteur candidat pour les workflows Agent
Useful candidate, but compare it with alternatives before adopting.
Adéquation au workflow
Utilisez cette skill dans ces scénarios
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.
Adéquation au workflow
Ajouter à un workflow complet
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.
Liste d’alternatives
Comparer avant installation
Similar skills that may fit this task.
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Taste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Canvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
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Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
Vue d’ensemble
--- 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
Détails techniques
- Version
- 1.0.0
- Licence
- Unknown
- Dernière mise à jour
- 20 août 2026
- Publié
- 20 août 2026
Instantané de décision
Validation nécessaire
recent repository activity
Audit
Revue d’installation
Revue d’installation et d’adoption
- Sécurité
- 66/100
- Maintenance
- 100/100
- Installer
- 92/100
Preuves validées par Agent
Preuves validées par Agent
Rapports après resolve, revue, installation et une exécution limitée.
- Taux de réussite
- —
- Échec récent
- —
- Résultats
- 0
- Qualité de sortie
- —
- Échecs
- 0
- Non pertinent
- 0
- Installations
- 0
- Bloqué par le risque
- 0
- Configuration requise
- 0
- Production
- 0
Aucune donnée de résultat Agent pour l’instant. La première exécution peut signaler succès, besoin de configuration, blocage de risque, échec ou non-pertinence via /api/agent/outcome.
Installer
Ajouter au workflow Agent
Gratuit et open source. Examinez le rapport avant l’installation dans des Agents de production.
Boucle de croissance
Kit de partage
Brouillon guidé par scénario pour produce-video, prêt pour une publication manuelle sur X.
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
Réponse facultative avec commande d’installation
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
Source de la fiche
Indexé par Registry
Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.
- Créateur
- AlemTuzlak
- Source
- AlemTuzlak/skills
- Indexé par
- Index communautaire OpenAgentSkill
L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.
Revendiquer ce skillRevendication du propriétaire
Revendiquer cette fiche de skill
Cette fiche Indexé par Registry est attribuée à AlemTuzlak, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.
Kit de backlinks créateur
Ajoutez les badges de preuve à votre README
Affichez la fiche canonique, les signaux actuels de confiance et d’audit, ainsi que de vraies preuves Agent-Proven là où les développeurs évaluent le dépôt.
[](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)Auteur
AlemTuzlak
@alemtuzlak
Tags
Adéquation plateforme
Signaux de santé
- Stars GitHub
- 39
- Score de qualité
- 34/100
- Dernier push GitHub
- 20 août 2026
- Indications de framework
- Inconnu
- Vues OpenAgentSkill
- 2
- Copies d’installation
- 0
- Clics sortants
- 0
Signal de communauté
Indiquez si ce skill semble utile à votre workflow Agent. Les retours agrégés améliorent le classement au fil du temps.
Confiance et sécurité
Do not auto-install
- Adoption GitHub39 stars GitHubVérifier
- Activité stars/forks39 stars et 0 forks; l’activité des issues n’est pas disponible dans les métadonnées actuellesVérifier
- Maintenance récente3 jours depuis le dernier pushValidé
- Clarté de licenceInconnuVérifier
- Complétude README/SKILL.mdLes métadonnées incluent suffisamment de contexte d’usage et de workflowValidé
- Risque dépendances/runtimecommand execution surface, external package install surfaceVérifier
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