Borrowing it
Nothing to install: this file belongs to biblcontentofficial-art/Premiere-Pro-edit-bibl. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/biblcontentofficial-art/Premiere-Pro-edit-bibl/main/.claude/skills/video-planning/SKILL.mdgit clone --depth 1 https://github.com/biblcontentofficial-art/Premiere-Pro-edit-biblWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/biblcontentofficial-art/premiere-pro-edit-bibl/video-planning)<a href="https://agentmods.dev/skills/biblcontentofficial-art/premiere-pro-edit-bibl/video-planning"><img src="https://agentmods.dev/badge/skills/biblcontentofficial-art/premiere-pro-edit-bibl/video-planning/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/biblcontentofficial-art/premiere-pro-edit-bibl/video-planning"><img src="https://agentmods.dev/badge/skills/biblcontentofficial-art/premiere-pro-edit-bibl/video-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00102 | $0.01096 |
| Opus 5 | $0.00051 | $0.00548 |
| Sonnet 5 | $0.00020 | $0.00219 |
| Haiku 4.5 | $0.00010 | $0.00110 |
Grade A, and why
video-planning scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
영상 기획
리서처의 "무엇을 남길지"를 "어떤 순서·속도·강조로 보여줄지"로 옮기는 편집 설계도를 만든다.
입력
output/_workspace/10_research.md(핵심메시지·하이라이트·삭제추천·챕터)00_director_brief.md(방향)
기획 4종
1. 인트로 훅 (첫 5~15초)
리서치 [인트로후보] 중 가장 강한 것 선택. 비블 스타일 = 결론/핵심 먼저. "이걸 깨닫고 10만 넘겼다"처럼 결과를 앞에. 어떤 타임코드 구간을 인트로로 당길지 명시.
2. 흐름 / 순서
세그먼트 배열, 끊을 곳·붙일 곳. 리서치 삭제추천을 반영한 최종 구성. 늘어지는 구간 처리(잘라낼지/압축할지).
3. 페이싱 → 프리셋 추천
영상 성격으로 컷 공격성 결정:
- 차분한 강의/설명 → 보수
- 일반 토크/라이브 → 표준
- 군더더기 많고 빠른 전개 원함 → 공격
반드시 프리셋 이름을 명시. 추가 미세조정은 config 키로 (예: "
HESITATION_MIN을 0.3으로").
4. 강조 / B롤 샷리스트 (타임코드)
편집자가 프리미어에서 작업할 구조화된 메모:
[자막강조]핵심 문장 — 키워드 볼드/컬러[화면전환]주제 바뀌는 지점[B롤]— 표 형태로:타임코드 | 무엇을(구체적 비주얼) | 왜(어떤 발화 받쳐주려고) | 길이예:10:12 | 노출클릭률 대시보드 화면 | "5%" 단언 강조 | 3초
5. 리텐션 / 페이싱 맵
유튜브는 초반 이탈이 생명. 시청 유지를 설계한다:
- 이탈 위험 구간 — 늘어지거나 추상적인 곳(보통 인트로 직후·중반)을 짚고, 패턴 인터럽트(B롤·자막·줌·질문) 배치 제안.
- 페이싱 —
[빠르게](군더더기·반복 설명) /[천천히](핵심 결론·감정 고조)를 구간별로 표시. 다 빠르면 피로, 다 느리면 이탈. - 떡밥 회수 — 인트로에서 던진 호기심(예: "치트키")을 언제 회수하는지 타임코드로.
6. 인트로 대본 (첫 20~30초)
콜드 오픈 훅을 실제 문장으로. 구조: ① 결론/충격 한 방 → ② "왜냐하면"의 떡밥 → ③ "끝까지 보면 ~" 약속. 리서치 인트로후보의 발화를 다듬어 쓴다.
출력
output/_workspace/20_plan.md:
## 인트로 훅
00:12:30~00:12:48 "..." 를 0초로 당김
## 흐름
1. 훅 → 2. 본론A(05:30~) → ...
## 프리셋 추천
표준 (이유: ...). 미세조정: HESITATION_MIN=0.3
## 강조/B롤 마커
- 00:08:15 [자막강조] "구체성이 핵심"
- 00:15:40 [B롤] 썸네일 예시 화면
왜 이렇게 하는가
- 컷편집가가 프리셋 명을 그대로 실행에 넣을 수 있어야 파이프라인이 안 끊긴다 → 추상적 조언 금지, 실행 가능한 지시만.
- 강조/B롤은 자동화 못 하는 사람의 영역 → 비블이 바로 작업하도록 타임코드로 넘긴다.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 62 lines · 102 tokens per session scan A c5067dec5e7c
video-planning is a skill published in the GitHub repository biblcontentofficial-art/Premiere-Pro-edit-bibl (21 stars, last pushed 1mo ago), licensed MIT. It adds 102 tokens to every session and 1,096 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
pr-to-video
Turn a GitHub pull request (a PR URL, owner/repo#N, or 'this PR' in a checked-out repo) into a code-change explainer video — changelog, feature reveal, fix, or refactor walkthrough built from the diff, commits, and files: the input is a code change, not a website. Not a product promo (/product-launch-video) or a no-PR…
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
motion-graphics
A short, design-led motion graphic where motion is the message — kinetic typography, stat count-up, chart/data-viz hit, logo sting / brand lockup, lower-third / callout / social overlay, animated map (highlight regions, connect places, zoom to a location), animated tweet / news-article / headline, webpage / UI…
gguf-quantization
GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.
remake-reel
Analyze a reference video (a reel, montage, or ad the user likes) into an edit blueprint — shot boundaries, music beats, BPM, energy curve, the drop — and rebuild the same structure with the user's own footage. Use when someone says "make it like this video", "remake this reel with my clips", or asks what makes an…
stage-edit
Intelligent editing of real user-supplied footage—understand it with transcript/OCR/scene/silence/quality/vision evidence, then choose deterministic timeline operations or a constrained semantic AI edit. Trigger for repurpose, montage, cleanup, localization, narration, or local content changes.