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fulcrumsf/embedded-captions

Adicione legendas ou subtítulos a um vídeo existente de uma pessoa falando, sem editar a gravação original.

O que é embedded-captions?

Esta skill do agente AI permite adicionar legendas ou subtítulos a um vídeo existente de uma única pessoa falando, sem a necessidade de editar o vídeo original. Ela é útil para criar legendas literais, legendas cinematográficas inseridas atrás do sujeito (efeito "embedded"), legendas com efeitos visuais (VFX), legendas de estilo explosivo (炸/特效/酷炫字幕) ou qualquer identidade visual dos 35 estilos do catálogo, roteando com base na identidade visual e não no mecanismo de backend. O fluxo inteiro, incluindo transcrição e segmentação do sujeito, é executado localmente, garantindo privacidade. A skill oferece duas abordagens principais: o modo padrão "anchor", que insere legendas de forma discreta e não intrusiva; e o modo totalmente cinematográfico, que embute cada palavra falada atrás do sujeito para um efeito mais dramático, ativado apenas quando o usuário solicitar explicitamente. Ela é compatível com ferramentas como o Claude Code, Cursor e Codex, e documenta detalhadamente a configuração do ambiente, incluindo dependências Python e FFmpeg.

Funciona com~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/fulcrumsf/Claude-Agent-V1/tree/main/.agents/skills/embedded-captions
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Documentação

O que embedded-captions faz?

Adicione legendas ou subtítulos a um vídeo existente de uma única pessoa falando, sem a necessidade de editar o material original. Use para legendas literais simples, legendas cinematográficas inseridas atrás do sujeito, legendas com efeitos visuais (VFX), legendas "炸/特效/酷炫字幕" (explosivas/efeitos/estilo chamativo) ou uma identidade com nome do catálogo de 35 estilos. O roteamento é feito pela identidade visual, não pelo mecanismo de backend. O modo padrão é o trilho anchor (tranquilo, discreto); incorpore cada palavra apenas quando o usuário solicitar explicitamente um tratamento totalmente cinematográfico. O fluxo de trabalho é executado localmente de ponta a ponta, incluindo transcrição e segmentação do sujeito.

Individual skills in this repo

This repo contains 7 individual skills — each has its own dedicated page.

fulcrumsf/banana-pro-director

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.'

fulcrumsf/cinema-worldbuilder

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.

fulcrumsf/Claude-Agent-V1

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

fulcrumsf/faceless-explainer

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.

fulcrumsf/media-use

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

fulcrumsf/music-to-video

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.

fulcrumsf/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 topic explainer (/faceless-explainer). Unclear → /hyperframes.

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