Kreator · LocalSymmetry
Pembaruan terakhir · 24 Agu 2026
lofn-video
Run the Lofn video/animation pipeline (steps 00–10) backed by Codex — cinematic shot lists and motion/animation prompts (Veo 3.1 formula, synchronized audio). Use for video, film, cinematic clips, animation, animated loops, motion design, or "make a video/animation with the full
Do not auto-install
Target pemasangan
Prompt pemasangan Codex
Install the "lofn-video" agent skill from https://github.com/LocalSymmetry/lofn/tree/main/.agents/skills/lofn-video. 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: Run the Lofn video/animation pipeline (steps 00–10) backed by Codex — cinematic shot lists and motion/animation prompts (Veo 3.1 formula, synchronized audio). Use for video, film, cinematic clips, animation, animated loops, motion design, or "make a video/animation with the full pipeline". Covers BOTH live-cinematic and animation. Expects a Phase-0/1 orchestrator packet from the `lofn` skill; if none exists, run `lofn` first. Do NOT use for static images, music-only, story prose, or QA-only audits. 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":"localsymmetry-lofn-video","task":"Install lofn-video","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.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 + OpenAI Agents + CLI
Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.
Pasang
Siap
npx skills add LocalSymmetry/lofn --skill lofn-video
Pemeliharaan
Terkini
Diperbarui hari ini
Risiko
Perlu ditinjau
Lisensi tidak jelas
Kualitas GitHub
22
55/100 Kualitas · 64/100 Kepercayaan
Tag cakupan
Catatan ulasan
Lisensi tidak jelas · Repository license is unknown; compliance is unclear.
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
22 star GitHub
Aktivitas repositori
22 star dan 1 fork
Pemeliharaan
Diperbarui hari ini
Lisensi
Tidak diketahui
Pasang
npx skills add LocalSymmetry/lofn --skill lofn-video
Keamanan pemasangan
Jalur pemasangan paket atau runtime standar
Cakupan izin
Akses sistem file atau dokumen
Hasil Agent
Belum ada data hasil Agent
Dokumentasi
Konteks README/SKILL.md kuat
Ringkasan risiko
Tinjau sebelum produksi
- Repository license is unknown; compliance is unclear.
- 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.
View technical data+
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 Multimodal media
- Tim Claude Code
- builders willing to evaluate younger projects
- Read media metadata
Agent yang sesuai
Keputusan pemasangan
- Perintah
- npx skills add LocalSymmetry/lofn --skill lofn-video
- Kebijakan
- Tinjau
- Tinjauan manusia
- Ya
Kepercayaan dan risiko
- Kepercayaan
- 56/100
- Audit
- 71/100
- Tingkat risiko
- Perlu ditinjau
Lingkar hasil
- Endpoint
- /api/agent/outcome
- ID event
- resolve
- Hasil
- 5
Perintah pemasangan
npx skills add LocalSymmetry/lofn --skill lofn-videoJangan gunakan ketika
- Tim yang membutuhkan SLA dengan dukungan vendor
- production agents without a repository review
- Low GitHub adoption signal
- Repository license is unknown; compliance is unclear.
- No OpenAgentSkill engagement data yet
Keamanan Agent v2
55/100 · Tinjau sebelum memasang
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
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.
- Lisensi tidak jelas
Rencana 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%20lofn-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Teks Resolve
/api/agent/resolve?task=Use%20lofn-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Serah-terima pemasangan
/api/skills/localsymmetry-lofn-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 lofn-video in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20lofn-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/localsymmetry-lofn-video/install
Install command: npx skills add LocalSymmetry/lofn --skill lofn-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/localsymmetry-lofn-video/install
Format teks LLM
/api/skills/localsymmetry-lofn-video/install?format=text
Cari alternatif
/api/skills/search?q=lofn-video&limit=3
Prompt Agent
Use lofn-video for this task. Review https://www.openagentskill.com/api/skills/localsymmetry-lofn-video/install, then install with: npx skills add LocalSymmetry/lofn --skill lofn-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/localsymmetry-lofn-video
Teks LLM
/api/registry/manifest/localsymmetry-lofn-video?format=text
Alias pemasangan
/api/registry/install/localsymmetry-lofn-video
Rekomendasikan
/api/registry/recommend?task=Use%20lofn-video%20in%20an%20agent%20workflow&limit=3
Kecocokan Agent
Multimodal media
Platform
Claude Code, OpenAI Agents
Laporan audit
Perlu ditinjau · 71/100
Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Panel keputusan Agent
Needs validation for Multimodal media
Do a manual repository review before adding this to an agent workflow.
Peran di stack
Perlu validasi
Kecocokan utama
Multimodal media
Label kepercayaan
Perlu tinjauan manual
Jalur pemasangan
Perintah siap
Gunakan saat
- alur kerja Multimodal media
- Tim Claude Code
- builders willing to evaluate younger projects
Bukti
- recent repository activity
- install command or GitHub repo available
- profil kualitas 55/100
tinjau dulu
- Low GitHub adoption signal
- Repository license is unknown; compliance is unclear.
- No OpenAgentSkill engagement data yet
Jalur implementasi
- 1Pasang di Agent sandbox dan jalankan satu tugas Multimodal media 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
Perbaiki22 star GitHub
Aktivitas star/fork
Perbaiki22 star dan 1 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
LulusDiperbarui hari ini
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; compliance is unclear.
- Lisensi tidak jelas
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 22 GitHub stars
- Stars/forks activity: 22 stars, 1 forks; issue activity unavailable in current metadata
- License clarity: Unknown
- 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
Process rich media
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Reduce risk
Security and compliance
I need my agent to scan a project for security risks and summarize what needs attention.
Kecocokan alur kerja
Tambahkan ke alur kerja lengkap
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Brief to publish-ready creative
Video creation
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.
Daftar alternatif
Bandingkan sebelum memasang
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Ringkasan
--- name: lofn-video description: Run the Lofn video/animation pipeline (steps 00–10) backed by Codex — cinematic shot lists and motion/animation prompts (Veo 3.1 formula, synchronized audio). Use for video, film, cinematic clips, animation, animated loops, motion design, or "make a video/animation with the full pipeline". Covers BOTH live-cinematic and animation. Expects a Phase-0/1 orchestrator packet from the `lofn` skill; if none exists, run `lofn` first. Do NOT use for static images, music-only, story prose, or QA-only audits. ---
# Lofn Video & Animation — Codex-backed director pipeline
> **⚖️ AUTHORITY (2026-07-01):** the `.claude/skills/` twin of this skill is the CANONICAL policy source; this Codex mirror binds to it and to `.agents/skills/lofn/EXECUTION.md` §8 (Policy Deltas — golden-output quarantine, no-skip/NON-CANONICAL, itemized packet, per-pair variation angles, judge separation, the publish bar, gate mid-bands). On any disagreement, the `.claude` file wins.
Produces cinematic shot lists and animation prompts at Lofn competition grade. This one skill covers **both** modalities the user calls "video" and "animation" — same pipeline, with the Veo 3.1 motion/audio formula and the animation archetypes layered on. Depth lives in `skills/video/` and `skills/animator/`; Codex is the engine (hybrid execution per `.agents/skills/lofn/EXECUTION.md`).
## Before you start 1. Confirm a Phase-0/1 packet exists (`core_seed.md`, `04_metaprompt.md`, `05_pair_assignments.md`, `06_director_handoff.md` with the **ICB / Panel Ledger**, filled `CREATIVE_CONTEXT.md`). **No packet → run `lofn` first.** 2. Read the motion/format craft just-in-time: - `skills/animator/SKILL.md` — Veo 3.1 prompt formula, camera language, audio direction, the 6 animation archetypes (Pulse / Morph / Orbit / Parallax / Burst / Flow), loop logic, platform optimization. - `vault/DIRECTOR_QA_DEPTH_AUDIT.md` — the Cinematic Somatic Gate + 5-element shot checklist. 3. **Mode:** *Cinematic* (multi-shot sequence / narrative clip) vs *Animation* (a single 4–8s loop/motion study). The pipeline is the same; in Animation mode each pair's variations are archetype-driven loops and you enforce loop logic (how frame 1 connects to the final frame).
## Execution (hybrid) Coordinator **00–05 inline**, then **6 pairs as parallel subagents** for 06–10. At every agent start inject the full startup packet from `EXECUTION.md` §3 — `CREATIVE_CONTEXT.md` verbatim, the handoff/assignment files, the current step contract, and the prior artifact where applicable. Default cardinality: **6 pairs × 4 = 24 shot-sets / loops → rank → top picks.**
### Coordinator steps (inline) | Step | File | Artifact | |------|------|----------| | 00 | `skills/video/steps/00_Generate_Video_Aesthetics_And_Genres.md` | `step00_aesthetics_and_genres.md` | | 01 | `skills/video/steps/01_Generate_Video_Essence_And_Facets.md` | `step01_essence_and_facets.md` | | 02 | `skills/video/steps/02_Generate_Video_Concepts.md` | `step02_concepts.md` (12 concepts) | | 03 | `skills/video/steps/03_Generate_Video_Artist_And_Critique.md` | `step03_artist_and_critique.md` | | 04 | `skills/video/steps/04_Generate_Video_Medium.md` | `step04_medium.md` | | 05 | `skills/video/steps/05_Generate_Video_Refine_Medium.md` | `step05_refine_medium.md` → **6 pairs** |
### Per-pair steps (parallel subagents, one chain per pair) | Step | File | Per-pair artifact | |------|------|-------------------| | 06 | `skills/video/steps/06_Generate_Video_Facets.md` | `pair_{NN}_step06_facets.md` | | 07 | `skills/video/steps/07_Generate_Video_Aspects_Traits.md` | `pair_{NN}_step07_aspects_traits.md` (shot guide) | | 08 | `skills/video/steps/08_Generate_Video_Generation.md` | `pair_{NN}_step08_generation.md` (4 shot-sets/loops) | | 09 | `skills/video/steps/09_Generate_Video_Artist_Refined.md` | `pair_{NN}_step09_artist_refined.md` | | 10 | `skills/video/steps/10_Generate_Video_Revision_Synthesis.md` | `pair_{NN}_step10_revision_synthesis.md` |
## The video/animation prompt contract (hard gate) Each generation prompt (step 08+) follows the Veo 3.1 formula, one element per concern:
``` [CAMERA] shot type + angle + movement (front-load this — Veo prioritizes framing) [SUBJECT] specific, not generic ("a woman in worn leather jacket, silver rings", not "a person") [ACTION] exactly what happens [SETTING] environment + time + weather/light [STYLE & AUDIO] aesthetic + explicit sound design ``` - **Separate camera from action** (each its own sentence). Describe negative space. - **Audio is directed explicitly** — Dialogue in quotes (`A woman whispers, "I remember everything."`), `SFX:` prefix, `Ambient:` soundscape, `Audio:` music. Layer ambient + SFX (+ optional music) for depth. - **Real film references** allowed for look ("Terrence Malick golden hour"); **no living-artist/actor likeness**, no real victims. - **Animation mode adds loop logic:** name the archetype (Pulse/Morph/Orbit/Parallax/Burst/Flow), set duration (4/6/8s), aspect (9:16 TikTok / 16:9 cinematic), resolution, and state how the loop closes (orbit completes 360°, pulse returns to origin, dolly reverses at midpoint, flow = landmark-free tunnel). - The 6 pairs use **distinct camera grammar / archetypes** — no two pairs default to the same move (the distinctiveness rule).
## QA & delivery Run **lofn-qa** with the **Cinematic Somatic Gate** (`vault/DIRECTOR_QA_DEPTH_AUDIT.md`, 5-element shot checklist). Rank by: opening-second hook → motion clarity → audio-image cohesion → emotional legibility → loop integrity (animation). Save each selected shot-set/loop per `skills/lofn-core/OUTPUT.md` (note intended renderer — Veo 3.1 — and aspect/duration in frontmatter); INDEX last. **Do not call render tools** — emit paste-ready prompt text; the user renders.
Detail teknis
- Versi
- 1.0.0
- Lisensi
- Unknown
- Pembaruan terakhir
- 24 Agu 2026
- Diterbitkan
- 24 Agu 2026
Ringkasan keputusan
Perlu validasi
recent repository activity
Audit
Tinjauan pemasangan
Tinjauan pemasangan dan adopsi
- Keamanan
- 74/100
- 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 lofn-video, siap untuk posting manual di X.
lofn-video: Run the Lofn video/animation pipeline (steps 00–10) backed by Codex — cinematic shot lists an... 22 stars https://www.openagentskill.com/skills/localsymmetry-lofn-video?ref=x
Balasan opsional dengan perintah pemasangan
Listing + install path for lofn-video: https://www.openagentskill.com/skills/localsymmetry-lofn-video?ref=x Install: npx skills add LocalSymmetry/lofn --skill lofn-video
Sumber listing
Diindeks Registry
Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.
- Kreator
- LocalSymmetry
- Sumber
- LocalSymmetry/lofn
- 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 LocalSymmetry, 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/localsymmetry-lofn-video)
[](https://www.openagentskill.com/skills/localsymmetry-lofn-video)
[](https://www.openagentskill.com/skills/localsymmetry-lofn-video/audit)
[](https://www.openagentskill.com/skills/localsymmetry-lofn-video)Penulis
LocalSymmetry
@localsymmetry
Tag
Kecocokan platform
Sinyal kesehatan
- Star GitHub
- 22
- Skor kualitas
- 32/100
- Push GitHub terakhir
- 24 Agu 2026
- Petunjuk framework
- Tidak diketahui
- Tampilan OpenAgentSkill
- 0
- 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 GitHub22 star GitHubPerbaiki
- Aktivitas star/fork22 star dan 1 fork; aktivitas issue tidak tersedia dalam metadata saat iniPerbaiki
- Pemeliharaan terbaruDiperbarui hari iniLulus
- Kejelasan lisensiTidak diketahuiPeriksa
- Kelengkapan README/SKILL.mdMetadata memuat konteks penggunaan dan alur kerja yang cukupLulus
- Risiko dependensi/runtimeTidak ada petunjuk risiko dependensi besar dalam metadata publikLulus
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