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- Bradautomates
- Head Of Content
- Content Planner
content-planner_skill
- Python
16
GitHub Stars
1
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 bradautomates/head-of-content --skill content-planner- SKILL.md6.6 KB
Overview
This skill orchestrates parallel content research across X, Instagram, YouTube, and TikTok, then aggregates findings into actionable content ideas and platform-specific playbooks. It runs four research subagents simultaneously, collects outliers and video analysis, and produces a two-week content calendar plus four intelligence playbooks tailored to each platform.
How this skill works
The skill reads account and audience context, creates a timestamped run folder, and launches X, Instagram, YouTube, and TikTok research subagents in parallel. Each subagent fetches recent posts/videos, detects outliers, runs video analysis where relevant, and returns a run folder path plus a compact JSON summary. The orchestration aggregates those outputs, extracts cross-platform topics, scores opportunities, generates content-ideas.md and four platform playbooks, and presents a concise summary and links to generated files.
When to use it
- When you need a multi-platform content plan grounded in recent performance.
- When researching trends, hashtags, and hooks across X, Instagram, YouTube, and TikTok.
- When you want platform-specific playbooks with replicable hooks and CTAs.
- When you need a prioritized set of emerging ideas from X with opportunity scoring.
- When preparing a 2-week content calendar aligned across platforms.
Best practices
- Ensure APIFY_TOKEN, TUBELAB_API_KEY, and GEMINI_API_KEY are set and accounts are in .claude/context.
- Run from the head-of-marketing directory and export the .env variables before starting subagents.
- Provide clear niche and audience files in .claude/context/ to improve relevance.
- Review video-analysis.json outputs to extract replicable hooks and formats.
- Use the opportunity_score outputs to prioritize X-originating ideas for multi-platform testing.
Example use cases
- Create a 2-week cross-platform content calendar for a niche SaaS brand.
- Aggregate trend research for a creator launching a new series on YouTube and short-form platforms.
- Build platform playbooks with winning hooks and CTA formulas for a product launch.
- Identify under-exploited X ideas with high engagement potential elsewhere.
- Run a comprehensive audit of recent 30-day activity across four platforms before a campaign.
FAQ
APIFY_TOKEN for X/Instagram/TikTok, TUBELAB_API_KEY for YouTube, GEMINI_API_KEY for video analysis, and accounts in .claude/context/. Export .env variables from the head-of-marketing folder before running.
What does the opportunity_score measure?
It prioritizes X-originating ideas by scaling X engagement against saturation on Instagram, YouTube, and TikTok using a simple ratio to surface high-impact, low-competition topics.