Verwandle einen GitHub-Pull-Request (PR-URL, owner/repo#N oder 'dieser PR' in einem ausgecheckten Repo) in ein Erklärvideo zu Code-Änderungen – Changelog, Feature-Enthüllung, Fix oder Refaktor-Durchlauf basierend auf Diff, Commits und Dateien: die Eingabe ist eine Code-Änderung, keine Webseite. Keine Produktwerbung (/product-launch-video) oder themenbezogene Erklärung ohne PR (/faceless-explainer). Bei Unklarheit → /hyperframes.
Diese Skill für KI-Agenten (wie Claude Code, Cursor, Codex) wandelt einen GitHub-Pull-Request in ein prägnantes Erklärvideo um. Der Fokus liegt auf technischen Code-Änderungen: Changelogs, Feature-Vorstellungen, Bugfixes oder Refaktor-Durchläufe. Die Eingabe ist eine PR-URL, ein Repository-Identifier im Format 'owner/repo#N' oder der Hinweis 'dieser PR' in einem lokal ausgecheckten Repository. Aus dem Diff, den Commits und den Dateien wird automatisch ein Video generiert, das die Änderungen visuell erklärt. Im Gegensatz zu Produktlaunch-Videos oder allgemeinen Erklärvideos ohne PR-Bezug ist dieser Skill streng auf Pull-Requests als Quelle spezialisiert. Bei unklarer Eingabe wird auf die /hyperframes-Skill verwiesen.
npx skills add https://github.com/fulcrumsf/Claude-Agent-V1/tree/main/.agents/skills/pr-to-videoVerwandle einen GitHub-Pull-Request (eine PR-URL, owner/repo#N oder 'dieser PR' in einem ausgecheckten Repository) in ein Erklärvideo zu Code-Änderungen – Changelog, Feature-Enthüllung, Fix oder Refaktor-Durchlauf, erstellt aus dem Diff, den Commits und den Dateien: die Eingabe ist eine Code-Änderung, keine Webseite. Keine Produktwerbung (/product-launch-video) oder themenbezogene Erklärung ohne PR (/faceless-explainer). Bei Unklarheit → /hyperframes.
This repo contains 7 individual skills — each has its own dedicated page.
Higgsfield image prompt director covering Banana Pro, Soul Cinema, and GPT-2. Three asset types in strict order: (1) single-image character outfit on white seamless studio — the locked base reference, via Banana Pro (custom styling from prompt) or Soul Cinema (face/body from character ref + outfit from wardrobe ref), (2) 6-panel multi-angle character sheet off that base, (3) scene plates with or without characters in cinematic environments. Also GPT-2 for detail face/chest-up portraits. Reads reference images for hair, makeup, wardrobe, jewelry, identity markers. Outputs photorealistic prompts with locked hyperreal stack — skin pores, subsurface scattering, strand-by-strand hair, fabric weave, Kodak Vision3 film. Use for any character outfit reference, character sheet, model sheet, ref sheet, multi-angle sheet, scene plate, environment plate, face detail shot, or photorealistic still — even without saying 'Banana Pro,' 'Nano Banana,' or 'Soul Cinema.'
Universal cinema worldbuilding director for Seedance video prompts. Reads uploaded reference images for wardrobe, hair, makeup, identity markers, and environment, then composes production-ready Seedance prompts using a locked cinematography grammar — five cinema modes (Narrative, Studio, Action, Performance, Atmospheric), each with canonical camera/lens/movement/filtration/grade specs, plus diegetic audio design (footsteps, fabric, breath, room tone, weapon fire, crowd, weather — never music or lyrics). Use this skill whenever the user wants to create a Seedance video prompt, mentions Seedance, asks for a cinematic scene breakdown, uploads reference images for a scene they want to build, describes a scene for video generation, or asks for shot prompts for music videos, action sequences, performance scenes, narrative shorts, fashion films, or atmospheric environment plates — even if they don't explicitly say 'cinematic' or name a mode.
Add captions or subtitles to an existing single-subject talking-head video without editing the footage. Use for plain verbatim captions, cinematic captions embedded behind the subject, VFX captions, “炸/特效/酷炫字幕,” or a named identity from the 35-style catalog. Route by visual identity, not by backend engine. The quiet `anchor` rail is the default; embed every word only when the user explicitly wants a fully cinematic treatment. The workflow runs locally end to end, including transcription and subj
Add captions or subtitles to an existing single-subject talking-head video without editing the footage. Use for plain verbatim captions, cinematic captions embedded behind the subject, VFX captions, “炸/特效/酷炫字幕,” or a named identity from the 35-style catalog. Route by visual identity, not by backend engine. The quiet `anchor` rail is the default; embed every word only when the user explicitly wants a fully cinematic treatment. The workflow runs locally end to end, including transcription and subj
Turn arbitrary text — an article, notes, a topic, a brief — into a faceless explainer video: there is no site or footage to capture, so the visuals are invented per scene (typography, abstract graphics, diagrams, data-viz). Use for topic explainers, concept breakdowns, how-tos, listicles. Not a video built from a website (/product-launch-video — promo or tour). Unclear → /hyperframes.
Agent Media OS, the single skill for every media need in a HyperFrames project. Resolve BGM, SFX, image, icon, brand logo, voice, color grade, or LUT into a frozen local file or paste-ready block + ledger record (one verb, `resolve`); generate via TTS / music / image models when the catalog misses; produce voiceover, transcription, captions, and background removal through one shared audio engine; operate on media (cut / reframe / transform); and reuse assets across projects. Also use for vague f
Turn a music track (an audio file, a video to pull audio from, or a track generated from a mood brief) into a beat-synced video — lyric video, slideshow, or kinetic promo. The music drives all pacing; any user-supplied images/videos are cut onto the same beat grid, and a complete video needs zero assets. Narrated pieces → the input-matched workflow (see /hyperframes). Unclear → /hyperframes.
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.