content-planner
Orchestrate comprehensive content research across X, Instagram, YouTube, and TikTok platforms. Runs all research skills in parallel via subagents, then aggregates findings into actionable content plans and platform-specific intelligence playbooks. Use when asked to: - Create a content plan for social media - Research content across all platforms - Generate content ideas from multiple sources - Build a content strategy playbook - Aggregate research from X, Instagram, YouTube, TikTok - Run comprehensive content research - Create platform playbooks Triggers: "content plan", "content planner", "research all platforms", "comprehensive research", "content strategy", "multi-platform research", "create playbooks", "aggregate research"
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/bradautomates/head-of-content --skill content-planner- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads content-planner automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Content Planner
Orchestrate parallel research across X, Instagram, YouTube, and TikTok, then aggregate findings into content ideas and platform-specific playbooks.
Prerequisites
Same as individual research skills:
APIFY_TOKENfor X, Instagram, and TikTok researchTUBELAB_API_KEYfor YouTube researchGEMINI_API_KEYfor video analysis- Accounts configured in
.claude/context/for each platform
CRITICAL - Subagent Environment Setup: Each subagent must load environment variables from the .env file in the head-of-marketing working directory before executing any API calls:
export $(cat .env | grep -v '^#' | xargs)
Workflow
1. Read User Context
Read all files in .claude/context/ to understand the user's niche, target audience, and accounts to research. Pass this context to each subagent.
2. Create Master Run Folder
RUN_FOLDER="content-plans/$(date +%Y-%m-%d_%H%M%S)" && mkdir -p "$RUN_FOLDER" && echo "$RUN_FOLDER"
3. Launch Research Subagents in Parallel
Use the Task tool to launch 4 subagents simultaneously:
Subagent 1 - X Research:
Execute the x-research skill:
1. Create run folder in x-research/
2. Fetch tweets (30 days, 100 max per account)
3. Analyze for outliers
4. Run video analysis if video content found
5. Generate report
Return: The run folder path and a JSON summary with:
- run_folder: path to the run folder
- total_posts: number analyzed
- outlier_count: outliers found
- top_topics: top 5 hashtags/keywords
Subagent 2 - Instagram Research:
Execute the instagram-research skill:
1. Create run folder in instagram-research/
2. Fetch reels (30 days, 50 per account)
3. Analyze for outliers
4. Run video analysis on top 5
5. Generate report
Return: The run folder path and a JSON summary with:
- run_folder: path to the run folder
- total_posts: number analyzed
- outlier_count: outliers found
- top_topics: top 5 hashtags/keywords
Subagent 3 - YouTube Research:
Execute the youtube-research skill:
1. Read channel context from .claude/context/youtube-channel.md
2. Analyze channel for keywords
3. Search for outliers
4. Filter to top 3 relevant videos
5. Run video analysis
6. Generate report
Return: The run folder path and a JSON summary with:
- run_folder: path to the run folder
- total_videos: number analyzed
- outlier_count: outliers found
- top_topics: top 5 keywords
Subagent 4 - TikTok Research:
Execute the tiktok-research skill:
1. Create run folder in tiktok-research/
2. Fetch videos (30 days, 50 per account)
3. Analyze for outliers
4. Run video analysis on top 5
5. Generate report
Return: The run folder path and a JSON summary with:
- run_folder: path to the run folder
- total_videos: number analyzed
- outlier_count: outliers found
- top_topics: top 5 hashtags/sounds/keywords
4. Collect Research Results
After all subagents complete, read from each platform's latest run folder:
x-research/{latest}/
├── outliers.json
└── video-analysis.json (if exists)
instagram-research/{latest}/
├── outliers.json
└── video-analysis.json
youtube-research/{latest}/
├── outliers.json
└── video-analysis.json
tiktok-research/{latest}/
├── outliers.json
└── video-analysis.json
5. Generate Content Ideas
Read references/content-ideas-template.md for the full template structure.
Key aggregation tasks:
- Extract topics from each platform's outliers
- Cross-reference to find topics appearing on multiple platforms
- Identify X-sourced emerging ideas (high X engagement, low presence elsewhere)
- Calculate opportunity scores for X ideas:
opportunity_score = (x_engagement × 1.5) / (instagram_saturation + youtube_saturation + tiktok_saturation + 1)instagram_saturation: 0 (not present), 0.5 (low), 1 (medium), 1.5 (high)youtube_saturation: same scaletiktok_saturation: same scale
- Generate 2-week calendar with platform-specific content suggestions
Write to: {RUN_FOLDER}/content-ideas.md
6. Generate Platform Playbooks
For each platform, read references/playbook-template.md and generate:
{RUN_FOLDER}/x-playbook.md{RUN_FOLDER}/instagram-playbook.md{RUN_FOLDER}/youtube-playbook.md{RUN_FOLDER}/tiktok-playbook.md
Each playbook extracts from the platform's research:
- Winning hooks with replicable formulas (from video-analysis.json)
- Format analysis and content patterns
- Content structure breakdowns
- CTA strategies
- Trending topics and hashtags
- Top 15 outliers with analysis
- Actionable takeaways
7. Present Summary
Output to user:
- Total content analyzed across all platforms
- Number of outliers identified per platform
- Key cross-platform insights (2-3 bullets)
- Top 3 emerging ideas from X
- Links to all generated files
Output Structure
content-plans/
└── {YYYY-MM-DD_HHMMSS}/
├── content-ideas.md # Cross-platform ideas (X-primary)
├── x-playbook.md # X/Twitter intelligence playbook
├── instagram-playbook.md # Instagram intelligence playbook
├── youtube-playbook.md # YouTube intelligence playbook
└── tiktok-playbook.md # TikTok intelligence playbook
Cross-Platform Topic Matching
To identify cross-platform winners:
- Extract keywords/hashtags from each platform's outliers
- Normalize terms (lowercase, remove # and @)
- Find intersection of high-frequency terms
- Score by combined engagement across platforms
Quick Reference
Full orchestration:
- Create master run folder
- Launch 4 research subagents in parallel (Task tool with 4 invocations)
- Wait for all subagents to complete
- Read all outliers.json and video-analysis.json files
- Generate content-ideas.md using cross-platform analysis
- Generate 4 platform playbooks
- Present summary to user
FAQ
What does the content-planner skill do?
Orchestrate comprehensive content research across X, Instagram, YouTube, and TikTok platforms. Runs all research skills in parallel via subagents, then aggregates findings into actionable content plans and platform-specific intelligence playbooks. Use when asked to: - Create a content plan for social media - Research content across all platforms - Generate content ideas from multiple sources - Build a content strategy playbook - Aggregate research from X, Instagram, YouTube, TikTok - Run comprehensive content research - Create platform playbooks Triggers: "content plan", "content planner", "research all platforms", "comprehensive research", "content strategy", "multi-platform research", "create playbooks", "aggregate research"
How do I install content-planner?
Run npx skills add https://github.com/bradautomates/head-of-content --skill content-planner in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/content-planner/ (personal) or .claude/skills/content-planner/ (project).
Which AI agents can use content-planner?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is content-planner safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains content-planner?
It is published by bradautomates in bradautomates/head-of-content. It has 256 recorded installs.
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