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jsath/claude-skills

Writes captions for a finished video from its transcript: pulls the line worth repeating, writes first-line options, writes per-platform versions (Instagram, TikTok, YouTube title and description, others on request), keeps the creator's voice using their best past captions, and checks the call to action matches what the video actually says. Use when a creator asks for captions, a caption hook, a YouTube title and description, or a CTA check. Drafts only; never posts or schedules.

O que é claude-skills?

claude-skills is a Claude Code agent skill that writes captions for a finished video from its transcript: pulls the line worth repeating, writes first-line options, writes per-platform versions (Instagram, TikTok, YouTube title and description, others on request), keeps the creator's voice using their best past captions, and checks the call to action matches what the video actually says. Use when a creator asks for captions, a caption hook, a YouTube title and description, or a CTA check. Drafts only; never posts or schedules.

Funciona com✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/jsath/claude-skills/tree/HEAD/skills/caption-engine

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Abre um novo chat com esta habilidade de agente já pré-carregada.

Documentação

Caption Engine

Five agents that turn one finished video's transcript into captions for every platform, in your voice, with a call to action that matches what you actually said.

See also ../reel-captions: a fixed per-platform caption format for one creator's reels. This skill learns your own format from your best past captions.

What you need

InputHow
Transcript of the FINAL video (not the raw take)Editing app caption export (.srt/.vtt); YouTube Studio > Subtitles > download, or "Show transcript"; in Claude Code, Whisper on the video file. Claude.ai cannot transcribe video. Last resort: paste what you said.
10 to 20 best past captionsPasted, Google Drive, or the platform's data download. Add views/saves with the date range if you have them.
CTA listSetup answers: keyword, what it gets people, whether that thing is ready

Your scheduler is never touched: captions come back as text to paste. Under 10 past captions, the Voice Keeper says its fixes are rough.

Setup (start, or when PROFILE is empty)

Two rounds, accept "skip", show PROFILE back, then ask for a transcript.

  1. Which platforms do you post to?
  2. Hashtags: none, a few, or a set list? Any you always use?
  3. Which asks do you use (comment a keyword, save, follow, link in bio, newsletter)? Exact keyword and what it gets people?
  4. Paste 10 to 20 captions that did well or sound most like you (numbers + dates if you have them).
  5. Styles you never use (emoji, all caps, questions)?
  6. Anything you never say or promise?

Commands and routing

CommandRuns
caption (transcript pasted)1 > 2 > 3 > 4 > 5, one set of captions
hooks1 > 2
platforms3 (needs a chosen first line)
voice4 on any caption drafts
cta check5 on any caption drafts

Before acting as an agent, read its file in agents/. In Claude Code you can copy them to .claude/agents/ to run as real subagents.

  • agents/01-transcript-reader.md: best line, payoff, spoken asks, fact list
  • agents/02-first-line-writer.md: five first-line options of different kinds
  • agents/03-platform-writer.md: per-platform shape and hashtag rules
  • agents/04-voice-keeper.md: VOICE NOTES from best captions, mismatch fixes
  • agents/05-cta-matcher.md: one ask per caption, PASS or BLOCKED vs the video

Safety rules (every agent)

  • Never post, publish or schedule. Captions are drafts with IDs (C1, C2...).
  • No claim, number, result or promise that is not in the transcript or the creator's notes.
  • The caption's ask must match the video: if the video says "comment GUIDE", the caption cannot say "link in bio" unless the creator confirms both.
  • Only creator-approved hashtags and handles. No tagging brands or people without approval. Sponsored videos get a [disclosure] line flagged for the creator.
  • Performance numbers are quoted only from what the creator pasted, with the date range.

Shared files

Claude Code: files in captions/. Claude.ai: print updated lists at the end so the creator can save them to Project knowledge.

  • PROFILE: setup answers
  • BEST CAPTIONS: past captions + numbers and date range
  • VOICE NOTES: patterns from agent 4
  • CTA LIST: ask | exact keyword | what it delivers | ready?
  • DRAFTS: captions awaiting approval

End of every run

  1. One line per agent that ran.
  2. Captions awaiting approval: ID | platform | first line.
  3. NEEDS YOU, including every BLOCKED CTA.
  4. Missing data and how to fix it.
  5. "Nothing has been posted or scheduled."

Example (fake data):

Ran: Transcript Reader, First Line (5 options, H2 recommended), Platforms (IG, TikTok, YouTube), Voice Keeper (3 fixes), CTA Matcher.
Drafts: C1 Instagram "I stopped answering email before 11am.", C2 TikTok, C3 YouTube title + description.
NEEDS YOU: C2 BLOCKED, says "link in bio" but video says "comment FOCUS" (0:41).
Missing: no numbers on past captions; voice matched on style only.
Nothing has been posted or scheduled.

Individual skills in this repo

This repo contains 3 individual skills — each has its own dedicated page.

jsath/claude-skills

Write CAPTIONS-PLATFORMS.md for one finished short video: a per-platform post caption for Instagram, TikTok, YouTube Shorts (title + description), Facebook, Threads, Bluesky and X, each within that platform's limits, with your comment-keyword CTA on the platforms where it belongs and never on X. Keyword, CTA, platforms, hashtags and limits come from a config file; a checker script fails the file on any miss. Use after an edit is finished, when asked to 'write the captions', 'caption this reel for every platform', or before scheduling.

jsath/claude-skills

Transcribe audio or video on your own machine with Whisper (mlx-whisper, faster-whisper or whisper.cpp) and get word-level timestamps as words.json, a plain .txt and an .srt. No API key, nothing uploaded. This is the transcription step the editing skills (edit-style, longform-edit, reel-captions) depend on. Use when asked to transcribe a take, get word timings, make an SRT, re-transcribe a final render for a caption sync check, or 'run whisper locally'.

jsath/claude-skills

Runs five agents that keep a YouTube channel's titles and descriptions matched to what people search for now: a Channel Reader that pulls the user's own video list and stats with their YouTube Data API key, YouTube Analytics OAuth or a pasted YouTube Studio export, a Niche Watcher that finds what is working right now for similar-size channels from public search results the API returns or the user provides, a Title Writer that drafts titles, descriptions and chapters for new videos, a Back Catalogue agent that picks old videos worth a refresh and drafts new versions, and a Change Tracker that records every change the user makes and compares before and after on matched windows. Use when a creator asks for YouTube SEO, better titles or descriptions, what is working in their niche, a back catalogue refresh, or says \"seo run\". Never invents search volumes or stats and never changes a video; drafts only.

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