content3_skill

This skill helps you manage short-form video creation, content libraries, reviews, and social drafts via Content3 API.
  • Python

2.6k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill content3

  • _meta.json414 B
  • SKILL.md14.1 KB

Overview

This skill integrates with the Content3 Agent API to create short-form videos, manage a content library, run human reviews, and draft or publish social media posts. It streamlines an end-to-end content workflow from automated video generation to approval and platform publishing. Ideal for creators and teams that need repeatable, reviewable short-video pipelines.

How this skill works

The skill calls Content3 endpoints to generate short-form videos from prompts, Reddit/Quora links, or raw text and returns asynchronous render job IDs. It lists and manages content items, creates reviews and revisions for human-in-the-loop approval, and promotes approved reviews into content items. Finally, it generates social drafts (AI-assisted or manual) and publishes them to connected platforms via social connections.

When to use it

  • Generate short videos from text, prompts, or social links for rapid content production
  • Collect stakeholder feedback via shareable review links before publishing
  • Create and manage a content library of ready-to-publish assets
  • Draft AI-generated captions and platform-specific posts for multiple social accounts
  • Batch-generate and publish large volumes of short-form content with review gates

Best practices

  • Store the API key securely and verify it with GET /v1/me before use
  • Poll render jobs (GET /v1/render-jobs/{id}) because video generation is asynchronous
  • Use reviews and share links to get external feedback without requiring accounts
  • Include metadata and clear labels on review attachments to streamline approvals and revisions
  • Respect rate limits and batch requests where possible to avoid throttling

Example use cases

  • Create a TikTok-ready 9:16 short from a trending Reddit post, save to the library, then auto-generate captions and hashtags
  • Run a weekly batch: generate multiple videos, submit a single review with attachments, collect approvals, then promote and draft social posts
  • Turn a Quora answer into a short-form explainer, send a public review link to a subject-matter expert, apply requested revisions, and publish
  • Produce product highlight videos, attach product metadata, and create platform-specific drafts for YouTube Shorts and Instagram Reels
  • Use AI social content generator to create variations of captions and hashtags, then create drafts for multiple connections at once

FAQ

Promoting an approved review requires reviews:read and content:write scopes. Full access (*) also works.

How do I track when a generated video is ready?

The generate call returns a jobId. Poll GET /v1/render-jobs/{jobId} until status is completed, then use the output_url.

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