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Agent skill

Content Repurposing

by gooseworks-ai in gooseworks-ai/goose-skills

Turn public social videos, transcripts, posts, creator research, or the user's own source material into platform-specific LinkedIn posts, X posts and threads, short-form scripts, newsletters, blog…

MITAuto-check passedWriting & Content

Install Content Repurposing

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill content-repurposing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills content-repurposing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/content/composites/content-repurposing .claude/skills/content-repurposing && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
content-repurposing
GitHub stars
1.2k
Token cost
~947 tokens
SKILL.md length
472 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Turn public social videos, transcripts, posts, creator research, or the user's own source material into platform-specific LinkedIn posts, X posts and threads, short-form scripts, newsletters, blog…

  • Works in 8 steps: Confirm which sources may be transformed… → For a video source, use… → Use outlier-post-finder or… → …
  • The user wants to reuse a strong idea without copying the source
  • SKILL.md covers Inputs, Workflow, Runtime paths and Output, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Content Repurposing is an agent skill from gooseworks-ai/goose-skills. Turn public social videos, transcripts, posts, creator research, or the user's own source material into platform-specific LinkedIn posts, X posts and threads, short-form scripts, newsletters, blog outlines, carousel briefs, and content calendars. Use when the user wants to reuse a strong idea without copying the source.

Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).

It sits in Writing & Content, covering Content repurposing, Social media posts and Content strategy. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

  • The user wants to reuse a strong idea without copying the source
  • Tasks that involve Content repurposing
  • Tasks that involve Social media posts

Example prompts

  • “/content-repurposing”

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Confirm which sources may be transformed and whether they are owned, quoted, or used only as inspiration.
  2. For a video source, use transcript-intelligence to obtain or analyze its transcript. Do not download, transcode, or edit the video, and do…
  3. Use outlier-post-finder or creator-profile-teardown when the user wants to repurpose a winning pattern rather than a single source.
  4. Extract content atoms: hooks, stories, claims, proof, frameworks, questions, examples, objections, visuals, and calls to action. Retain…
  5. Choose only formats that fit the audience and objective. Define the platform constraint, distinct angle, and intended action for each…
  6. Rewrite from the user's perspective and voice. Use create-linkedin-content and create-x-content for final platform tuning when those…
  7. Produce ready-to-edit drafts, not a list of generic ideas. Vary the structure by platform and include attribution notes where a source…
  8. Self-check for voice, factual support, repetition, plagiarism risk, platform fit, and whether each derivative stands on its own.

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Content Repurposing loads about 947 tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 472 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~947

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 472 words, ~947 tokens.

Download SKILL.mdSave it as .claude/skills/content-repurposing/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
content-repurposing
description
Turn public social videos, transcripts, posts, creator research, or the user's own source material into platform-specific LinkedIn posts, X posts and threads, short-form scripts, newsletters, blog outlines, carousel briefs, and content calendars. Use when the user wants to reuse a strong idea without copying the source.

Content Repurposing

Convert source material into original, voice-matched content for the channels the user actually needs.

Inputs

  • Source URLs, transcripts, posts, research reports, or owned source material.
  • Target audience, brand or company voice, platforms, formats, objective, and desired quantity.
  • Optional Brand Core, voice guide, campaign, offer, CTA, and publishing window.

Workflow

  1. Confirm which sources may be transformed and whether they are owned, quoted, or used only as inspiration.
  2. For a video source, use transcript-intelligence to obtain or analyze its transcript. Do not download, transcode, or edit the video, and do not introduce an FFmpeg dependency. If the user already supplied a transcript or captions, work from them directly. If only a URL is available and the current environment cannot call the transcript provider, ask for the transcript or captions; do not improvise a terminal-only media workflow.
  3. Use outlier-post-finder or creator-profile-teardown when the user wants to repurpose a winning pattern rather than a single source.
  4. Extract content atoms: hooks, stories, claims, proof, frameworks, questions, examples, objections, visuals, and calls to action. Retain the source and support for every factual atom.
  5. Choose only formats that fit the audience and objective. Define the platform constraint, distinct angle, and intended action for each output.
  6. Rewrite from the user's perspective and voice. Use create-linkedin-content and create-x-content for final platform tuning when those formats are requested.
  7. Produce ready-to-edit drafts, not a list of generic ideas. Vary the structure by platform and include attribution notes where a source materially influenced the output.
  8. Self-check for voice, factual support, repetition, plagiarism risk, platform fit, and whether each derivative stands on its own.
Show full SKILL.md (201 more words)Show less

Runtime paths

  • Transcript or text supplied: fully terminal-free. Repurpose the supplied material directly.
  • Public video URL with GooseWorks MCP: use transcript-intelligence, then call the managed provider through the live call_data_provider schema. No terminal or separate provider key is required.
  • Public video URL with GooseWorks CLI: use transcript-intelligence and its declared provider dependency, then continue with the transcript.
  • Public video URL without either provider path: explain that the transcript cannot be fetched in this environment and request pasted captions or a transcript.

Output

  • Source inventory and content-atom table.
  • Repurposing map showing source atom, target format, audience, angle, and CTA.
  • Platform-ready drafts grouped by channel.
  • Optional carousel or visual briefs for goose-graphics when requested.
  • Suggested publishing sequence and content calendar when requested.
  • Attribution notes, factual checks, and items requiring user review.

Guardrails

  • Adapt ideas, evidence, and structures; do not plagiarize distinctive language or creative expression.
  • Quote only short, necessary excerpts and retain attribution.
  • Do not flatten every platform into the same draft with a different character count.
  • Do not invent facts, personal experience, customer proof, or first-person claims for the user.
  • Do not require FFmpeg or a local terminal. This skill transforms source meaning into written content; it does not process video files.

© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/content/composites/content-repurposing of gooseworks-ai/goose-skills.

  • SKILL.md
  • skill.meta.json

Open the folder on GitHubat commit c650c6d

Compare with similar skills

Content Repurposing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Content Repurposing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Content Repurposing this skillgooseworks-ai/goose-skills1.2k—~947Automated safety check: PassMIT
Content RepurposingScrapeCreators/social-media-research-skills3.4k—~564Automated safety check: NotesMIT
Podcast Pipelineericosiu/ai-marketing-skills3.6k1 repos~2.6kAutomated safety check: PassMIT
Linkedin Skillsalirezarezvani/claude-skills28k—~1.4kAutomated safety check: PassMIT
Msp MarketingRTFM-IT-Services-LLC/msp-claude-skills115—~3.7kAutomated safety check: PassCustom licence
Social Media Pro Maxcriptogus/agent-evolve-network288—~1.6kAutomated safety check: PassCustom licence

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Categories

Questions about Content Repurposing

What does Content Repurposing do?

Turn public social videos, transcripts, posts, creator research, or the user's own source material into platform-specific LinkedIn posts, X posts and threads, short-form scripts, newsletters, blog…. Content Repurposing is an agent skill from gooseworks-ai/goose-skills. Turn public social videos, transcripts, posts, creator research, or the user's own source material into platform-specific LinkedIn posts, X posts and threads, short-form scripts, newsletters, blog outlines, carousel briefs, and content calendars.

When should I use Content Repurposing?

Content Repurposing fits situations like: the user wants to reuse a strong idea without copying the source; tasks that involve Content repurposing; tasks that involve Social media posts.

How do I install Content Repurposing in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill content-repurposing -a claude-code`. Or copy the skill folder (skills/content/composites/content-repurposing in gooseworks-ai/goose-skills) into .claude/skills/content-repurposing in your project. Claude Code loads it when a task matches its description.

How do I install Content Repurposing in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill content-repurposing -a codex`. Or copy the skill folder (skills/content/composites/content-repurposing in gooseworks-ai/goose-skills) into .agents/skills/content-repurposing in your project. Codex loads it when a task matches its description.

Can I use Content Repurposing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill content-repurposing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/content-repurposing, .gemini/skills/content-repurposing, .github/skills/content-repurposing and .opencode/skills/content-repurposing in your project.

What does Content Repurposing need to run?

SKILL.md names no scripts, command-line tools or credentials: Content Repurposing is instructions for the agent only.

Does Content Repurposing access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Content Repurposing safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Content Repurposing use?

Content Repurposing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Content Repurposing use?

About 947 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Content Repurposing?

Skills that share tags, products or a category with Content Repurposing: Content Repurposing (ScrapeCreators/social-media-research-skills, 3.4k stars), Podcast Pipeline (ericosiu/ai-marketing-skills, 3.6k stars), Linkedin Skills (alirezarezvani/claude-skills, 28k stars) and Msp Marketing (RTFM-IT-Services-LLC/msp-claude-skills, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Content Repurposing?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.