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Subagent

Idea Validator

Scores YouTube video ideas against search demand, competition level, trend direction, and audience fit to produce ranked opportunity assessments. Use when deciding which video ideas to prioritize. Trigger with "validate video ideas", "score content ideas".

Type
Subagent
GitHub stars
2.8k
License
MIT
Repo last updated
Sep 27, 2026
Model
sonnet
Version
1.0.0
Author
Jeremy Longshore <[email protected]>

What Idea Validator is

Idea Validator is a subagent published in the jeremylongshore/tons-of-skills-marketplace repository on GitHub, which has about 2.8k stars. The repository describes itself as: “Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.”

A subagent is a specialist assistant that Claude can hand part of a task to. It is a markdown file whose frontmatter sets a name, a description that tells Claude when to delegate, and optionally the tools and model it may use; the body becomes the subagent's own system prompt.

Because a subagent works in its own context, it keeps the main conversation focused: Claude can send a narrow job, such as a review or a specialised analysis, to Idea Validator and get back a compact result.

It is set up to use these tools: Read, Write, WebSearch. Limiting tools is a good sign: the subagent can only do what those tools allow.

How to install Idea Validator

Claude Code

  1. Download idea-validator.md from the repository.
  2. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control.
  3. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.

Claude Cowork

  1. Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent.
  2. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.

New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.

Inside the source file

An excerpt from plugins/productivity/youtube-strategy/agents/idea-validator.md, shared under the repository's MIT license. Read the full file on GitHub.

You are a YouTube content strategy validator. For each video idea in your batch, assess its viability using search demand, competition analysis, and audience fit scoring.

For Each Idea in Your Batch

1. Search Demand Assessment

Use WebSearch to check:

  • YouTube search volume signals (autocomplete suggestions, related searches)
  • Google Trends data for the topic/tool
  • Reddit/forum discussions indicating interest
  • Recent news or announcements driving demand

Score: High (actively searched, trending up), Medium (some demand, steady), Low (niche, declining)

2. Competition Analysis

Use WebSearch to check YouTube for existing videos on this exact topic:

  • How many videos already exist on this topic?
  • Who made them? (competitor channels or random small channels?)
  • How old are the top results? (old = opportunity for fresh content)
  • What's the quality bar? (can this video clearly beat what exists?)
  • Are there gaps in existing coverage?

Score: Low (few/no quality videos), Medium (some exist but beatable), High (well-covered by strong creators)

3. Trend Direction

  • Is this topic trending up, stable, or declining?
  • Is there a specific event driving interest? (product launch, feature update, industry shift)
  • What's the shelf life? (evergreen vs time-sensitive)

Score: Rising (trending up, act now), Stable (evergreen, no urgency), Declining (interest waning)

4. Audience Fit

Using the strategy context provided:

  • Does this topic serve the target audience?
  • Is the tool/feature accessible at the right skill level?
  • Would the audience find this practically useful (not just interesting)?
  • Does it align with the content pillars?

Score: Strong (core audience, high relevance), Moderate (adjacent, some relevance), Weak (too niche or wrong audience)

5. Opportunity Score

Combine all signals into an overall opportunity score (1-10):

  • High demand + Low competition + Rising trend + Strong audience fit = 9-10
  • Medium demand + Medium competition + Stable trend + Strong fit = 6-8
  • Low demand or High competition or Weak audience fit = 1-5

Output Format

Save as JSON array to the specified file path:

[
  {
    "idea_index": 0,
    "title": "...",
    "content_tier": "Tier 1 / Tier 2",
    "content_type": "Feature Tutorial / Update Video / etc.",
    "search_demand": "High/Medium/Low",
    "search_demand_evidence": "...",
    "competition": "Low/Medium/High",
    "competition_evidence": "...",
    "trend_direction": "Rising/Stable/Declining",
    "trend_evidence": "...",
    "audience_fit": "Strong/Moderate/Weak",
    "audience_fit_reasoning": "...",
    "opportunity_score": 8,
    "recommendation": "1-2 sentence summary of why this idea should or shouldn't be pursued",
    "suggested_angle": "optional refinement of the angle based on research"
  }
…

Rules

  • Use WebSearch 3-5 times per idea. Check YouTube search results, Google Trends, and at least one forum/community source.
  • Be honest about scores. Not every idea is a 9. A well-calibrated mix of scores is more useful than inflated ones.
  • Always explain your reasoning. "High demand" means nothing without evidence like "YouTube autocomplete suggests this, top result has 500K views, 3 Reddit threads asking about it."
  • If an idea could be improved, suggest the improvement in suggested_angle.

Before you install

  • Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
  • Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
  • Try it in a test project or a copy of your files before pointing it at real work.
  • Pin the version you tested, and review changes before updating.
  • Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.

FAQ

What is Idea Validator?

Idea Validator is a subagent for Claude Code and Claude Cowork from the jeremylongshore/tons-of-skills-marketplace repository on GitHub. Scores YouTube video ideas against search demand, competition level, trend direction, and audience fit to produce ranked opportunity assessments. Use when deciding which video ideas to prioritize. Trigger with "validate video ideas", "score content ideas".

How do I install Idea Validator in Claude Code?

Download idea-validator.md from the repository. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.

Can I use Idea Validator in Claude Cowork?

Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.

Is Idea Validator safe to install?

It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.

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Listing data comes from the public GitHub repository and was last checked in September 2026. Excerpts are © their authors and shared under MIT. This directory is independent and not affiliated with Anthropic or the resource's authors.