Content Repurposing
Skill ActiveContent atomization — turn one piece of content into many formats. Covers blog-to-thread, blog-to-carousel, podcast-to-blog, video-to-quotes, and more. Use for: content marketing, social media, multi-platform distribution, content strategy. Triggers: content repurposing, repurpose content, content atomization, content recycling, one to many content, multi platform content, cross post, adapt content, reformat content, blog to thread, blog to video, podcast to blog, content multiplication
To efficiently generate multiple content assets from a single source, aiding content marketers and social media managers in multi-platform distribution and content strategy.
Features
- Content atomization across formats
- Blog-to-Twitter/X thread generation
- Blog-to-LinkedIn carousel creation
- Podcast-to-blog post conversion
- Video-to-quote card generation
Use Cases
- Repurposing long-form content for social media distribution.
- Creating multi-platform content from a single source to increase reach.
- Adapting existing content into various formats for different audience segments.
- Developing a comprehensive content strategy with derivative assets.
Non-Goals
- Directly writing or editing long-form source content.
- Managing social media posting schedules or analytics.
- Performing tasks outside of content format conversion and generation.
Workflow
- Install the `belt` CLI.
- Log in to the `belt` CLI.
- Identify the long-form source content.
- Use `belt app run` with specific models and prompts to generate derivative content assets (e.g., tweet text, carousel slides, quote images).
- Adapt content for specific platforms based on provided recipes and guidelines.
Practices
- Content Strategy
- Social Media Marketing
- Content Creation
Prerequisites
- inference.sh CLI (`belt`) installed and logged in
- Access to specific `belt` applications (e.g., `falai/flux-dev-lora`, `x/post-create`)
Documentation
- info:Configuration & parameter referenceWhile the core functionality and inputs are shown in examples, explicit documentation for all parameters and their defaults for the `belt` CLI commands is not detailed.
Maintenance
- warning:Dependency ManagementThe skill relies on the `belt` CLI, but there are no explicit dependency management measures like lock files or vulnerability checks mentioned for its installation or updates beyond a general reference to `cli-install.md`.
Security
- warning:Secret ManagementThe `belt login` command is mentioned, implying authentication is required for the CLI, but details on how secrets are handled or if they are exposed are not provided.
Versioning
- warning:Release ManagementThe installation instructions reference `refs/heads/main`, and there is no clear versioning mechanism (like semver in frontmatter or GitHub releases) for the skill itself, making it difficult to pin a specific version.
Execution
- warning:Pinned dependenciesThe skill depends on the `belt` CLI, but the SKILL.md does not specify a minimum version or provide a lockfile for its installation, only a reference to an install script.
Compliance
- info:Telemetry opt-inThe skill relies on the `belt` CLI; while telemetry is not explicitly mentioned as opt-in or opt-out, its collection practices are not detailed in the provided documentation.
Practical Utility
- info:Edge casesWhile the happy path is well-covered with examples, specific documentation for failure modes, limitations, or recovery steps for the `belt` CLI commands is not detailed in the SKILL.md.
Installation
npx skills add inferen-sh/skillsRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
Trust Signals
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