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 aset
Desain dan produksi kreatif
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Skenario
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Kecocokan Agent
Claude Code + Browser agents + CLI
Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.
Pasang
Siap
npx skills add AlemTuzlak/skills --skill produce-video
Pemeliharaan
Terkini
2 hari sejak push
Risiko
Perlu ditinjau
Lisensi tidak jelas
Kualitas GitHub
39
57/100 Kualitas · 62/100 Kepercayaan
Tag cakupan
Catatan ulasan
Lisensi tidak jelas · Dependency or permission surface needs review
Kartu adopsi Agent
Kepercayaan, audit, dan kesiapan pemasangan dalam sekali lihat
Skor ini menggabungkan metadata repositori publik, sinyal ulasan OpenAgentSkill, kebaruan pemeliharaan, dan kesiapan pemasangan. Ini adalah sinyal shortlist, bukan pengganti peninjauan manusia.
Kualitas
MenjanjikanUseful candidate, but compare it with alternatives before adopting.
Kepercayaan
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Perlu ditinjauTinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Trust Score OpenAgentSkill v5
Tinjauan manusia sebelum pemasangan
Choose a stronger alternative or inspect the source manually before any install attempt.
Star
39 star GitHub
Aktivitas repositori
39 star dan 0 fork
Pemeliharaan
2 hari sejak push
Lisensi
Tidak diketahui
Pasang
npx skills add AlemTuzlak/skills --skill produce-video
Keamanan pemasangan
Jalur pemasangan paket atau runtime standar
Cakupan izin
shell or command execution, filesystem or document access
Hasil Agent
Belum ada data hasil Agent
Dokumentasi
Konteks README/SKILL.md kuat
Ringkasan risiko
Tinjau sebelum produksi
- Repository license is unknown; without a clear license, reuse and attribution are ambiguous.
- Lisensi tidak jelas
- Low GitHub adoption signal
- Quality score needs review
Kesiapan pemasangan
Jalur pemasangan tersedia
- Jalur pemasangan tersedia
- Bukti repositori tersedia
- Lisensi tidak jelas
- Belum ada bukti hasil Agent-Proven
Metadata yang dapat dibaca Agent
Data keputusan yang dapat dibaca mesin untuk skill ini.
Gunakan blok ini atau JSON tersemat untuk memutuskan apakah Agent perlu memasang skill ini, memilih alternatif, atau meminta tinjauan manusia terlebih dahulu.
Tugas yang sesuai
- alur kerja Content automation
- Tim Claude Code
- builders willing to evaluate younger projects
- Summarize source material
Agent yang sesuai
Keputusan pemasangan
- Perintah
- npx skills add AlemTuzlak/skills --skill produce-video
- Kebijakan
- Tinjau
- Tinjauan manusia
- Ya
Kepercayaan dan risiko
- Kepercayaan
- 54/100
- Audit
- 70/100
- Tingkat risiko
- Perlu ditinjau
Lingkar hasil
- Endpoint
- /api/agent/outcome
- ID event
- resolve
- Hasil
- 5
Perintah pemasangan
npx skills add AlemTuzlak/skills --skill produce-videoJangan gunakan ketika
- Tim yang membutuhkan SLA dengan dukungan vendor
- production agents without a repository review
- Low GitHub adoption signal
- Repository license is unknown; without a clear license, reuse and attribution are ambiguous.
- Petunjuk izin berisiko tinggi: eksekusi shell atau perintah
Skill alternatif
Frontend Design
171.1K Star
npx skills add anthropics/skills --skill frontend-design
Skill alternatif
Taste Skill: Anti-Slop Frontend
79.4K Star
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Skill alternatif
Canvas Design
171.1K Star
npx skills add anthropics/skills --skill canvas-design
Skill alternatif
Anthropic Brand Guidelines
171.1K Star
npx skills add anthropics/skills --skill brand-guidelines
Keamanan Agent v2
38/100 · Hindari pemasangan otomatis
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Tinggi
Eksekusi shell atau perintah
Metadata skill merujuk terminal, CLI, shell, subprocess, atau alur kerja eksekusi perintah.
Sedang
Browser automation
Skill may drive a browser or interact with web pages.
Sedang
Akses jaringan
Skill kemungkinan mengambil halaman jarak jauh, API, repositori, atau layanan eksternal.
Sedang
Akses sistem file
Skill dapat membaca atau menulis file proyek, dokumen, artefak yang dihasilkan, atau status workspace lokal.
- Petunjuk izin berisiko tinggi: eksekusi shell atau perintah
- Lisensi tidak jelas
Target pemasangan
Pasang skill ini di alur Agent Anda
Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.
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-videoRencana resolusi Agent
Biarkan Agent memverifikasi kecocokan sebelum memasang.
API Resolve mengembalikan skill utama, alternatif, kebijakan keamanan, catatan audit, target pemasangan, dan prompt siap pakai.
Buka JSON
/api/agent/resolve?task=Use%20produce-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Teks Resolve
/api/agent/resolve?task=Use%20produce-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Serah-terima pemasangan
/api/skills/alemtuzlak-produce-video/install
Agent harus memeriksa
- 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.
Salin 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.Serah-terima Agent
Berikan jalur pemasangan kepada Agent, bukan direktori lain.
Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.
Serah-terima pemasangan
/api/skills/alemtuzlak-produce-video/install
Format teks LLM
/api/skills/alemtuzlak-produce-video/install?format=text
Cari alternatif
/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-videoMetadata Registry
Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.
API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.
Manifest
/api/registry/manifest/alemtuzlak-produce-video
Teks LLM
/api/registry/manifest/alemtuzlak-produce-video?format=text
Alias pemasangan
/api/registry/install/alemtuzlak-produce-video
Rekomendasikan
/api/registry/recommend?task=Use%20produce-video%20in%20an%20agent%20workflow&limit=3
Kecocokan Agent
Content automation
Tag use case
Platform
Claude Code, Browser agents
Laporan audit
Perlu ditinjau · 70/100
Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Panel keputusan Agent
Needs validation for Content automation
Do a manual repository review before adding this to an agent workflow.
Peran di stack
Perlu validasi
Kecocokan utama
Content automation
Label kepercayaan
Perlu tinjauan manual
Jalur pemasangan
Perintah siap
Gunakan saat
- alur kerja Content automation
- Tim Claude Code
- builders willing to evaluate younger projects
Bukti
- recent repository activity
- install command or GitHub repo available
- profil kualitas 57/100
- 2 event interaksi OpenAgentSkill
tinjau dulu
- Low GitHub adoption signal
- Repository license is unknown; without a clear license, reuse and attribution are ambiguous.
Jalur implementasi
- 1Pasang di Agent sandbox dan jalankan satu tugas Content automation dari awal hingga akhir.
- 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 kepercayaan
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Adopsi GitHub
Periksa39 star GitHub
Aktivitas star/fork
Periksa39 star dan 0 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus2 hari sejak push
Kejelasan lisensi
PeriksaTidak diketahui
Sinyal positif
- Tinjauan AI disetujui
- Jalur pemasangan tersedia
- Bukti repositori tersedia
- Repositori yang baru dipelihara
- Perintah pemasangan tidak memiliki pola berisiko tinggi yang jelas
- Loop hasil siap tetapi membutuhkan eksekusi Agent nyata pertama
Tinjau sebelum memasang
- Repository license is unknown; without a clear license, reuse and attribution are ambiguous.
- Lisensi tidak jelas
- 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
- Belum ada laporan hasil Agent nyata
- Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan
Tindakan yang disarankan
Choose a stronger alternative or inspect the source manually before any install attempt.
Profil kualitas
Menjanjikan kandidat untuk alur kerja Agent
Useful candidate, but compare it with alternatives before adopting.
Kecocokan alur kerja
Gunakan skill ini pada skenario berikut
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.
Kecocokan alur kerja
Tambahkan ke alur kerja lengkap
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.
Daftar alternatif
Bandingkan sebelum memasang
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.
Anthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
Ringkasan
--- 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
Detail teknis
- Versi
- 1.0.0
- Lisensi
- Unknown
- Pembaruan terakhir
- 20 Agu 2026
- Diterbitkan
- 20 Agu 2026
Ringkasan keputusan
Perlu validasi
recent repository activity
Audit
Tinjauan pemasangan
Tinjauan pemasangan dan adopsi
- Keamanan
- 66/100
- Pemeliharaan
- 100/100
- Pasang
- 92/100
Bukti tervalidasi Agent
Bukti tervalidasi Agent
Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.
- Tingkat sukses
- —
- Kegagalan terbaru
- —
- Hasil
- 0
- Kualitas output
- —
- Gagal
- 0
- Tidak relevan
- 0
- Pemasangan
- 0
- Diblokir risiko
- 0
- Perlu penyiapan
- 0
- Produksi
- 0
Belum ada data hasil Agent. Eksekusi pertama dapat melaporkan keberhasilan, kebutuhan setup, blok risiko, kegagalan, atau tidak relevan melalui /api/agent/outcome.
Pasang
Tambahkan ke alur Agent
Gratis dan sumber terbuka. Tinjau laporan sebelum memasang pada Agent produksi.
Siklus pertumbuhan
Kit berbagi
Draf berbasis skenario untuk produce-video, siap untuk posting manual di 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
Balasan opsional dengan perintah pemasangan
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
Sumber listing
Diindeks Registry
Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.
- Kreator
- AlemTuzlak
- Sumber
- AlemTuzlak/skills
- Diindeks oleh
- Indeks komunitas OpenAgentSkill
Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.
Klaim skill iniKlaim pemilik
Klaim listing skill ini
Listing Diindeks Registry ini dikaitkan dengan AlemTuzlak, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.
Kit backlink kreator
Tambahkan badge bukti ke README Anda
Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.
[](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)Penulis
AlemTuzlak
@alemtuzlak
Tag
Kecocokan platform
Sinyal kesehatan
- Star GitHub
- 39
- Skor kualitas
- 34/100
- Push GitHub terakhir
- 20 Agu 2026
- Petunjuk framework
- Tidak diketahui
- Tampilan OpenAgentSkill
- 2
- Salinan pemasangan
- 0
- Klik keluar
- 0
Sinyal komunitas
Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.
Kepercayaan & keamanan
Do not auto-install
- Adopsi GitHub39 star GitHubPeriksa
- Aktivitas star/fork39 star dan 0 fork; aktivitas issue tidak tersedia dalam metadata saat iniPeriksa
- Pemeliharaan terbaru2 hari sejak pushLulus
- Kejelasan lisensiTidak diketahuiPeriksa
- Kelengkapan README/SKILL.mdMetadata memuat konteks penggunaan dan alur kerja yang cukupLulus
- Risiko dependensi/runtimecommand execution surface, external package install surfacePeriksa
Skill terkait
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
171.1K StarTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
79.4K StarCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
171.1K StarAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
171.1K Star