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Content Channel Research

作者 pingukim225 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install content-channel-research
功能描述
Structured GO/NO-GO framework for validating content topics before you script or record anything. Runs audience segmentation, adoption research, saturation c...
使用说明 (SKILL.md)

Content Channel Research Skill

Bottom line: Before scripting or recording anything, run this 5-phase validation. It takes ~50 minutes and saves 40+ hours of production time on topics that would get 200 views.


When to Invoke

Mandatory before:

  • Writing any new video script
  • Planning a new content series
  • Validating whether a trending topic is worth your time
  • Pivoting a channel's focus

Trigger phrases:

  • "Should I make a video about X?"
  • "Is this topic saturated?"
  • "Does my audience already know this?"
  • "What angle should I take on X?"
  • "Content research for [channel]"
  • "Would [profession] already know how to do this?"

Phase 1 — Audience Segmentation (5 min)

Before researching adoption, define WHO you're trying to reach. Not all sub-segments have the same problem.

Steps:

  1. List the primary intended audience (e.g., "investment analysts", "e-commerce founders", "freelance designers")
  2. Break into 3-5 specific sub-segments (e.g., by firm size, seniority, geography, tool access)
  3. For EACH sub-segment, identify:
    • What tools/knowledge do they already have access to?
    • What are they blocked from using (policies, budget, awareness)?
    • What's their financial or career incentive to learn this topic?

Output: Audience breakdown table with segments, access levels, pain points, and who is most underserved.


Phase 2 — Adoption Research (15 min)

For each sub-segment: How aware are they? How many actually use the tools? What's their sophistication level?

Searches to run:

  1. "[Segment] [tool] adoption [year]"
  2. "[Segment] using [tool] in [context]"
  3. "[Tool] policies [segment]" (what are the institutional/organizational barriers?)
  4. "[Segment] [tool] workflow"
  5. Reddit/forums: "how [segment] use [tool]"

For each result, note:

  • Are they aware of the tool? (Yes/No/Rumored)
  • Do they actually use it? (Confirmed / Shadow-use / Policy-blocked / No access)
  • Sophistication level: Beginner (basic summaries) / Intermediate (custom workflows) / Advanced (API, automation, fine-tuning)

Output: Adoption matrix — awareness vs actual usage vs sophistication by segment.

Key insight: "Awareness" ≠ "Capability." People can know a tool exists and still have zero ability to use it for your specific use case. That gap IS your content opportunity.


Phase 3 — Content Saturation Check (15 min)

Search YouTube, web, and industry content for existing coverage of this EXACT topic + angle.

Searches to run:

  1. "[topic]" on YouTube — how many videos? View counts? When posted?
  2. "[segment] + [topic]" — niche-specific coverage?
  3. "[tool] [topic] tutorial" — existing tutorials?
  4. "[topic] guide" + "[topic] step-by-step" on web
  5. "[segment] [topic]" on web and LinkedIn

For each result, assess:

  • Production quality (rough notes / polished / enterprise)
  • Depth (surface tip vs full 20-min deep dive)
  • Audience fit (generic vs niche to your specific segment)
  • Recency (2024 advice that's already outdated = opportunity)
  • Engagement signal (views relative to channel size — high ratio = audience cares)

Output: "X videos exist on this topic. Quality tier is [low/medium/high]. Most recent is [date]. The gap is: [specific description of what's missing]."

Key insight: High view count on a "generic" topic does NOT mean the niche-specific version is saturated. 10M views on "ChatGPT basics" doesn't mean "ChatGPT for [your specific industry workflow]" is covered. Serve the underserved segment.


Phase 4 — Competitive Differentiation (10 min)

What angle does NO ONE cover? Where is your authentic voice a multiplier?

Steps:

  1. Find the top 3 existing videos/content on this topic

  2. For each, identify:

    • What's their angle? (Beginner tutorial? Advanced workflow? Tool comparison? Generic tips?)
    • Who's the creator? (Tech generalist? Industry practitioner? Course platform?)
    • What's missing? (Depth? Segment specificity? Hands-on demo? Real professional walk-through?)
  3. Ask: Where do I have authentic advantage that these competitors don't?

    • Your professional background, specific industry experience, or unique access to tools/workflows
    • Example: A 20-year industry veteran can teach the REAL workflow, not the theoretical tutorial version
  4. Define the specific angle you should own — not just "tutorials" but "this exact sub-skill that only someone with your background can credibly teach"

Output: "Competitors cover [X]. Your advantage is [Y]. Own the angle: [specific framing]."


Phase 5 — Positioning Synthesis (5 min)

Synthesize everything into a GO/NO-GO verdict and positioning statement.

Output format:

## CONTENT RESEARCH: [Topic Name]

### VERDICT: [GO / NO-GO / GO WITH MODIFICATIONS]

### Audience Breakdown
[Table or summary: segments, access, pain points, most underserved segment]

### Adoption Status
[Awareness vs actual usage vs sophistication — where is the capability gap?]

### Content Saturation
[Videos found, quality tier, dates, gaps. Oversaturated or underserved?]

### Competitive Differentiation
- Existing content angle: [what others do]
- Your unique angle: [what only you can credibly do]
- Authenticity multiplier: [why your background wins here]
- Target segment: [the most underserved audience]

### Recommended Positioning
**Title framing:** [Specific, benefit-driven title. Not "ChatGPT tips" but "How to do [X task] in 90 seconds with Claude"]
**Opening hook:** [The pain point specific to your target segment that others don't address]
**Channel positioning note:** [Who is this EXACTLY for — be specific]

### Confidence Level
[High / Medium / Low — based on research depth and market signal strength]

### Next Steps
- GO: "Script immediately, record this week"
- NO-GO: "Park for X months, revisit after [specific market change]"
- MODIFICATIONS: "Narrow to [segment], change angle to [Y], then proceed"

Common Failure Modes (avoid these)

  1. Skipping segmentation. "My audience" is too broad. Different sub-segments have different access, awareness, and pain. Always segment first.

  2. Confusing "I haven't seen it" with "No one has made it." Do real searches before concluding a topic is uncovered.

  3. Mistaking awareness for capability. "Everyone knows about [tool]" ≠ "Everyone knows how to use [tool] for [specific use case]." The capability gap IS the content opportunity.

  4. Optimizing for view count instead of differentiation. A 10M-view generic video doesn't mean that topic is saturated FOR YOU if your angle is the niche-specific professional version.

  5. Producing without running this research. If you skip this, you risk 40 hours of production for 200 views on something 5,000 creators already made.


Time Budget

  • Phase 1 Segmentation: 5 min
  • Phase 2 Adoption research: 15 min (3-5 searches + synthesis)
  • Phase 3 Saturation check: 15 min (6-8 YouTube/web searches)
  • Phase 4 Differentiation: 10 min (review top 3 pieces, identify gap)
  • Phase 5 Synthesis: 5 min

Total: ~50 minutes. Saves 40+ hours of wasted production.

安全使用建议
This skill appears safe to install as a structured content-topic research checklist. Users should expect it to guide the agent through public audience and competitor research, but the provided artifacts do not show code execution, credential use, persistence, or access to private files.
功能分析
Type: OpenClaw Skill Name: content-channel-research Version: 1.0.0 The skill bundle defines a structured research framework for content creators to validate video topics. It provides instructions for the AI agent to perform audience segmentation, web/YouTube searches for market saturation, and competitive analysis (SKILL.md). There is no evidence of malicious code, data exfiltration, or harmful prompt injection; the behavior is entirely consistent with its stated purpose of content strategy research.
能力评估
Purpose & Capability
The instructions align with the stated purpose of validating content topics through audience, adoption, saturation, and differentiation research.
Instruction Scope
The skill provides a structured research workflow and output format; it does not instruct the agent to override user intent, access private data, or take high-impact actions.
Install Mechanism
There is no install specification and no code files; the artifact is an instruction-only SKILL.md.
Credentials
The requested activity is limited to research and synthesis, with no required binaries, environment variables, credentials, or local system access.
Persistence & Privilege
No persistence, background execution, privileged access, credential use, or long-running autonomous behavior is evidenced in the provided artifacts.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install content-channel-research
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /content-channel-research 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Initial release of the Content Channel Research skill. - Provides a structured 5-phase GO/NO-GO framework for validating content topics before production. - Includes audience segmentation, adoption research, saturation check, and competitive differentiation. - Outputs a clear recommendation with positioning and next steps to avoid wasted effort on saturated or irrelevant topics. - Tailored for creators asking "Should I make a video about X?" or validating new content ideas.
元数据
Slug content-channel-research
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Content Channel Research 是什么?

Structured GO/NO-GO framework for validating content topics before you script or record anything. Runs audience segmentation, adoption research, saturation c... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 56 次。

如何安装 Content Channel Research?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install content-channel-research」即可一键安装,无需额外配置。

Content Channel Research 是免费的吗?

是的,Content Channel Research 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Content Channel Research 支持哪些平台?

Content Channel Research 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Content Channel Research?

由 pingukim225(@pingukim225)开发并维护,当前版本 v1.0.0。

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