yt-ideation
Generate and validate YouTube video ideas aligned with content pillars, audience strategy, and priority tiers. Use this skill whenever the user says "generate ideas", "brainstorm videos", "what should I make next", "video ideas", "content ideas", "ideation", "what topics should I cover", or wants to come up with new video concepts. Use when working with yt ideation. Trigger with 'yt', 'ideation'.
Best use case
yt-ideation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Generate and validate YouTube video ideas aligned with content pillars, audience strategy, and priority tiers. Use this skill whenever the user says "generate ideas", "brainstorm videos", "what should I make next", "video ideas", "content ideas", "ideation", "what topics should I cover", or wants to come up with new video concepts. Use when working with yt ideation. Trigger with 'yt', 'ideation'.
Teams using yt-ideation should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/yt-ideation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How yt-ideation Compares
| Feature / Agent | yt-ideation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generate and validate YouTube video ideas aligned with content pillars, audience strategy, and priority tiers. Use this skill whenever the user says "generate ideas", "brainstorm videos", "what should I make next", "video ideas", "content ideas", "ideation", "what topics should I cover", or wants to come up with new video concepts. Use when working with yt ideation. Trigger with 'yt', 'ideation'.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# YouTube Ideation You are generating and validating video ideas for a YouTube channel. Every idea must align with the content strategy and serve the target audience. ## Before You Start You need from the user: 1. **Focus area** - What tool, niche, or topic to ideate around (e.g., "AI tools for professionals", "recent software updates", "productivity workflows") 2. **Research data** (optional) - If `/yt-research` was run first, load `niche-analysis.json` and `niche-report.md` for data-informed ideation 3. **Constraints** (optional) - Any specific requirements (e.g., "only short videos", "needs to be filmable this week", "must tie to a product launch") If the user provided focus already, confirm and proceed. ## The Ideation Process ### Step 1: Load Context Understand the creator's: - **Content pillars** - What core topics does the channel focus on? - **Audience** - Who are the viewers? What's their skill level? - **Content types** - What formats work best? (tutorials, reviews, updates, comparisons) - **Trending vs evergreen** - What's the balance between timely and long-lasting content? ### Step 2: Generate 15-20 Raw Ideas Use these ideation methods: **Method 1: Gap Analysis** (if research data available) - Content gaps from competitor analysis - Topics with high demand but low competition - Complex concepts that need accessible translation **Method 2: Trend Riding** - Recent tool updates or feature launches - Industry developments relevant to the audience - Viral topics that can be made practical **Method 3: Format Innovation** - Existing topics in new formats (comparison, mega-guide, use-case compilation) - Content types competitors aren't using - Series potential (multi-part tutorials) **Method 4: Audience Needs** - Questions the audience is asking (Reddit, YouTube comments, community) - Problems viewers face with the tools they use - "How do I..." queries for the niche For each idea, define: - **Working title** - **Content tier** (Tier 1: growth content, Tier 2: supporting content) - **Content type** (Full Tutorial, Feature Tutorial, Update Video, Use Case Video, Comparison, etc.) - **One-line angle** (what makes this video unique) - **Timeliness** (trending/urgent or evergreen) **Priority distribution:** - 60-70% Tier 1 ideas (the growth engine) - 30-40% Tier 2 ideas (supporting content) ### Step 3: Quick Self-Filter Before validation, run each idea through a strategy test: - Does it serve the target audience? (Must be yes) - Can it be practically demonstrated? (Prefer yes) - Does it support the content funnel? (Can we give away an asset?) - Is it filmable in the current format? Remove ideas that fail the test. Note why for transparency. ### Step 4: Validate Ideas Spawn `idea-validator` sub-agents (5 ideas per agent) to assess: - Search demand (YouTube autocomplete, Google Trends, forums) - Competition level (existing videos, quality bar) - Trend direction (rising, stable, declining) - Audience fit (accessibility, practical value) Each sub-agent returns an opportunity score (1-10) per idea. ### Step 5: Present Ranked Results Present ideas to the user sorted by opportunity score: ```markdown Here are your validated video ideas, ranked by opportunity: | # | Title | Tier | Type | Demand | Competition | Score | |---|-------|------|------|--------|-------------|-------| | 1 | [title] | Tier 1 | Feature Tutorial | High | Low | 9.2 | | 2 | [title] | Tier 1 | Update Video | High | Medium | 8.5 | ... Top recommendation: [title] - [1 sentence why] Which ideas do you want to develop into briefs? ``` Options: - Pick 1-3 ideas to brief - Generate more ideas in a different direction - Refine a specific idea before briefing - Go back to research ## Key Principles - **Tier 1 first** - Always prioritize growth content (tutorials, use cases, updates). These drive channel growth. - **Audience-appropriate** - Every idea must pass the "would the target viewer find this useful?" test. - **Practical over theoretical** - Favor ideas where the viewer walks away with something they can DO. - **CTA-ready** - Strong ideas include a natural asset giveaway (template, workflow, plugin) that ties to the creator's business. - **Data-informed** - When research data is available, use it. Gut-feel ideation is a fallback, not the default. ## Overview Generate and validate YouTube video ideas aligned with content pillars, audience strategy, and priority tiers. ## Prerequisites - Access to the ORM environment or API - Required CLI tools installed and authenticated - Familiarity with ORM concepts and terminology ## Instructions 1. Assess the current state of the ORM configuration 2. Identify the specific requirements and constraints 3. Apply the recommended patterns from this skill 4. Validate the changes against expected behavior 5. Document the configuration for team reference ## Output - Configuration files or code changes applied to the project - Validation report confirming correct implementation - Summary of changes made and their rationale ## Error Handling | Error | Cause | Resolution | |-------|-------|------------| | Authentication failure | Invalid or expired credentials | Refresh tokens or re-authenticate with ORM | | Configuration conflict | Incompatible settings detected | Review and resolve conflicting parameters | | Resource not found | Referenced resource missing | Verify resource exists and permissions are correct | ## Examples **Basic usage**: Apply yt ideation to a standard project setup with default configuration options. **Advanced scenario**: Customize yt ideation for production environments with multiple constraints and team-specific requirements. ## Resources - Official ORM documentation - Community best practices and patterns - Related skills in this plugin pack
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This is an autonomous ideation agent that operates recursively with minimal user input.
It begins with an initial question and employs an asynchronous algorithmic thought process with self-awareness to generate ideas or solutions. Each idea is critically analyzed through reflection, evaluating feasibility, potential impacts, and areas for improvement. This reflective feedback loop refines ideas recursively, building upon each iteration with logical progression and in-depth analysis. Emphasizing critical thinking, it provides constructive criticism and thoughtful insights to evolve ideas continuously. The process is self-guided, leading to a comprehensive summary of the ideation journey, highlighting key developments and insights. The interaction style is analytical, focusing on clear, concise, and technically accurate communication. This Agent's unique trait is its ability to weave a continuous narrative of thought, logically linking each step to ensure a coherent and progressive ideation journey.
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