複数ベンダーの年次サイバーセキュリティ報告書を探して取得し、脅威やランサムウェア、侵害統計の傾向を出典付きで比較・分析します。
- 脅威レポートをカテゴリ別に探したいとき
- 特定ベンダーの報告書を取得したいとき
- ランサムウェア動向を複数社で比較したいとき
伝えたい内容を場面ごとの演出に落とし込み、HTMLとGSAPでアニメーションを制作してMP4に書き出し、品質を確認するスキルです。
One-off semantic animations and animated explainers authored as HTML + GSAP on HyperFrames, directed by the meaning layer (MeaningMap then Direction, reviewed before anything animates) and rendered to MP4 through the sandboxed HyperFrames seam, with the ArtDirection quality loop before delivery. USE WHEN animation, animate this, motion graphics, animated explainer, content to video, make a short, generate a video about, launch video, product launch video, launch film, capability video, feature video, make a video of what we just added, promo video, ad creative video, landing-page hero video, AI video, video overlay, render video, programmatic video, hyperframes, remotion (retired). NOT FOR static images or diagrams, or animated technical diagram GIFs (Art TechnicalDiagrams, which renders through this seam), editing or tight-cutting recorded footage (the video pipeline skill), narrated essays or explainers of a post, idea or feature (the video-essay skill), or audio-only cleaning (AudioEditor).
実行スコア 未検証
インストール方法を見る文章や企画の内容を短いアニメーションや解説動画にし、MP4として書き出します。まず内容を場面ごとの要点に分け、各場面で何をどう見せるかを演出案にまとめます。案のレビューを通してから、HTMLとGSAPでアニメーションを制作し、HyperFramesを通じて映像をレンダリングします。静止画で構図や文字の収まりを確認し、最終映像も内容、タイミング、音声や画面の状態を見て品質を確かめます。製品紹介や機能紹介、短い縦型動画など、目的に応じた形式を扱います。
投稿の要点を動きのある解説にしたいときや、新製品・新機能を短い映像で紹介したいときに向いています。内容に沿った演出を事前に組み立て、確認を重ねながら動画にしたい場合にも使えます。
制作した映像はレビューを通してから納品されます。レンダリングはCPU負荷が高く、初回設定にはffmpegなどのツールが必要です。
この紹介文は、公開されている SKILL.md をもとに AI(OpenAI Codex)が作成しました。正確な仕様は下の原文を確認してください。
SKILL.md の記述から、注意が要る操作と導入の前提を AI が確認しました。点数は実際に動かした結果(実行検証)だけで付けています。
点数には入れていません。 2026年10月28日 時点で AI(OpenAI Codex)が判定しました。目安なので、入れる前に原文も確認してください。
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Makes short animations the way Art makes images: from code, reproducibly, from what the content means. A composition is an HTML page with one paused GSAP timeline; HyperFrames seeks it frame by frame and encodes it. Every render goes through the shared seam LIFEOS/TOOLS/HyperFrames, which pins the version, turns telemetry off, sandboxes the network, checks the timeline is registered and moving, and remuxes the output without container metadata so the renderer's own name and version stamp does not travel with the file. It adds no AI-content label of its own; label AI-generated shorts wherever they are published.
Order is fixed: meaning, then direction, then motion. LIFEOS/TOOLS/VideoMeaning decomposes the source into a MeaningMap, directs every beat as a Direction with a written rationale, and a two-vendor review passes that plan before a single scene is authored. A launch film is directed instead by the principal's pick between animatics.
Contents: Ideal State · Intent Routing · Tools · Data & Config · Gotchas · Examples
render --eval <intent> so the Assay video eval set (video-eval) passed on it as that intent's ## Evals declares it. "I looked at the stills" is not evidence.LIFEOS/TOOLS/HyperFrames with every stage green; nothing ran the bare hyperframes CLI, and a failing stage was fixed in the composition, never bypassed.References/MotionDesignPhilosophy.md): settling eases where a physical thing would ease, one focal movement per beat, text still while it is read, timing with texture, and only the transitions the content motivates. Watched once with sound off, it could not have come from a template; a piece a template could have produced got another pass.Tools/Theme.ts. A launch film takes them from its chosen reference instead (Intents/LaunchVideo.md).Skill("ArtDirection"): a direction council before new or large work, then the cross-vendor critique panel (skills/ArtDirection/Tools/Critique.ts), iterated on its named defects until it passes the bar ArtDirection sets (skills/ArtDirection/SKILL.md § Ideal State) or reported with the shortfall. A passing Critique.json sits beside the render. Hand-over is skills/ArtDirection/Tools/Deliver.ts, which refuses without a passing critique. The principal's verdict is recorded with skills/ArtDirection/Tools/Calibrate.ts.| Intent | Trigger | File |
|---|---|---|
| ContentToAnimation | "animate this", "create animations for", "video overlay", "animated explainer" | Intents/ContentToAnimation.md |
| GeneratedContentVideo | "generate a video about", "AI video", "content to video", "make a short" | Intents/GeneratedContentVideo.md |
| LaunchVideo | "launch video", "product launch film", "promo video", "ad video", "hero video for the landing page" | Intents/LaunchVideo.md |
| CapabilityVideo | "capability video", "make a video of what we just added", "announce this feature", "/cv" | Intents/CapabilityVideo.md |
| SystemFilm | "system film", "live dashboard video", "show this system running", "animate this workflow run" | Intents/SystemFilm.md |
| File | Read when |
|---|---|
References/MotionDesignPhilosophy.md | before building any piece: the taste doctrine behind the "reads as authored" bar above |
References/LaunchFilmCraft.md | LaunchVideo, before anything is directed: what praised code-built launch films share (length, pace, type, sound, techniques) |
References/MusicScore.md | adding music: a score as data, standalone pieces only |
References/VoiceoverCleaning.md | LaunchVideo built on a script the principal recorded, before any word timing: the ordered cleaning recipe and the voiceover gotchas |
LIFEOS/TOOLS/HyperFrames/README.md | authoring or debugging a composition: the seam contract, network controls, capture modes and composition gotchas |
| https://hyperframes.heygen.com | HyperFrames' own authoring docs (source: https://github.com/heygen-com/hyperframes, Apache-2.0) |
Setup.md | first-time setup: ffmpeg, the one-time tool install, and the optional narration and film-review keys |
| Tool | Purpose |
|---|---|
Tools/Scaffold.ts | --dir <project> --title "<text>" [--subtitle] [--width --height --fps --duration --id] [--force]: writes a contract-complete index.html (theme, local GSAP, registered timeline, a title card that renders) and stages GSAP |
Tools/SystemFilm.ts | --script <script.json> --dir <project> [--force]: builds a SystemFilm composition and its STORYBOARD.md from a system-run script in the house theme; schema in Tools/SystemFilm.help.md |
Tools/Theme.ts | LIFEOS_THEME (colours, type, spacing, GSAP eases and durations: a neutral default merged with the install's Theme.json), loadTheme(), and themeCss() for the page |
LIFEOS/TOOLS/HyperFrames/HyperFrames.ts | the render seam: check, snapshot --at … --out-dir …, render --out <file.mp4> [--audio] [--eval <intent.md>] |
Tools/FilmStats.ts | <film.mp4…> [--json] [--sheet]: length, beats per 10 s, motion, ink, brightness range and loudness per film, plus a 30-frame contact sheet; compares a cut against its reference films |
Tools/TextFit.ts | `--project <dir> [--times 1.2,3.4 |
Assay/Tools/Proof.ts | the output check every intent here runs: bun skills/Assay/Tools/Proof.ts plan --brief BRIEF.md --plan STORYBOARD.md --kind video --out <project>/proof.json on the brief and storyboard before building (a dropped brief fact exits 1; fix the storyboard), then Proof.ts run --artifact <still or film> --project <dir> --checks <dir>/proof.json --hits hits.md on the first stills and on the final encode; the seam snapshot runs it on its own stills when the project has a proof.json. See skills/Assay/Intents/Proof.md |
Tools/WatchFilm.ts | <film.mp4…> [--out-dir]: a Gemini watch-and-listen pass writing a shot list, beat sync, type, sound and craft notes to <film>-watch.md; public films unless the install's PREFERENCES.md trusts the vendor with private cuts, a check the caller makes because the tool uploads every path it is given |
LIFEOS/TOOLS/VideoMeaning/VideoMeaning.ts | map, direct --mode essay, review, revise, validate |
User customizations live at <configRoot>/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/HyperFrames/ (configRoot is $CLAUDE_CONFIG_DIR when set, else ~/.claude); when present they override the defaults here. Theme.json there overrides the neutral theme key by key (Tools/Theme.ts reads it at import and fails loud on an unknown key, a wrong type or a named font family), PREFERENCES.md holds the install's video taste (presets, music placement, capture rules), and LaunchVideo's reference pack (LaunchFilmReferences.md) lives there. The Art preferences (LIFEOS/USER/CUSTOMIZATIONS/SKILLS/Art/PREFERENCES.md) set the house aesthetic when present; load them before composing. First-time setup: Setup.md.
hyperframes or bunx hyperframes directly. The bare CLI phones home, fetches Google Fonts with the page text for any unembedded family, inlines CDN scripts, and ships an unregistered timeline as a still video with exit 0 (seam H2 findings, 2026-09-24). The seam blocks each of these.embedFonts(), and a stack must never start generic (2026-10-24). A family without an @font-face fails preflight font-not-embedded. The pinned compiler puts Inter first in any stack whose first family is generic, on the MP4 only, so stills and every check see the generic face while the film ships in Inter: the proof-loop film was specified monospace and shipped in sans past five checks. Name a real face first through the seam's roleFaces(role) (the house TypeRoles.json, or the compiler's bundled OFL face); preflight font-generic-primary refuses a mono or serif generic first and warns on a sans one, and Proof's composition-pixels fails a film whose pixels left its stills.transition, Date.now, performance.now, requestAnimationFrame, unseeded Math.random and setInterval all break a render; preflight refuses them. All motion lives on the one GSAP timeline.font-display: swap, a timeline built at script load measures fallback-font heights (0 of 10 faces loaded when measured; rows came out 21 px taller), so FLIP reorders overlap and positioned panels land low. Build the timeline after document.fonts has loaded every face (registerAfterFonts, or await each face's load()), and never read getBoundingClientRect before that.References/MusicScore.md). The install's PREFERENCES.md may narrow this further.snapshot before committing to a full render.${LIFEOS_HYPERFRAMES_DIR:-$HOME/HyperFrames}/<slug>/); output reaches $LIFEOS_DOWNLOADS_DIR (default ~/Downloads/) only through Deliver.ts.Example 1: animated explainer from a post
User: "animate the key argument of this post"
→ ContentToAnimation intent
→ A themed typography-and-diagram MP4 whose every scene traces to a reviewed Direction beat, delivered to Downloads with its passing Critique.json
Example 2: a generated short
User: "make a 60-second vertical short about this idea"
→ GeneratedContentVideo intent
→ A 1080x1920 narrated short with generated scene images and captions timed from the TTS alignment, rendered with --audio and delivered after a passing critique
Example 3: a product launch film
User: "make a launch video for the new app"
→ LaunchVideo intent
→ Two or three animatics to pick from, then a 15–45 s master cut to music on the real product, plus an ad cut and a hero loop, each measured against the chosen reference film
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複数ベンダーの年次サイバーセキュリティ報告書を探して取得し、脅威やランサムウェア、侵害統計の傾向を出典付きで比較・分析します。
個別の機能や部品の設計と、システム全体の目的を同じ問いで比較し、両者の食い違い、適切な実装範囲、全体との整合性を3段階で整理するスキルです。
文章のテーマに合う格言や引用を探し、著者・出典と選定理由を添えて提案します。引用の追加、思想家の調査、利用履歴の管理を通じて、同じ引用の繰り返しも防ぎます。
ブログの挿絵や技術図解、比較図、マンガ、アイコンなどを用途別の手順で制作します。形式に合う構図や配色を組み立て、確認用の画像を出力します。
画像や映像、スライド、サイト画面の品質を複数の判定役で評価し、修正点の整理から基準を満たした成果物の引き渡しまで進めます。
arXivの論文をテーマ・分野・論文IDで探し、著者や要旨、リンクをまとめます。新着論文の確認や、用意されている場合はAlphaXivのAI生成概要の取得にも対応します。