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harrylabsj

Sv Analytics Review

by haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
11
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1
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Install in OpenClaw
/install sv-analytics-review
Description
Provides a structured framework to analyze short video metrics, extract insights, and plan iterative content improvements based on manual data input.
README (SKILL.md)

Short Video Performance Analytics & Review

Provides a structured framework for reviewing short video performance data — metrics interpretation, insight extraction, and iterative improvement planning.

Target Users

  • Content creators
  • Social media managers
  • Marketing analysts
  • Agency strategists

When to Use

  • Weekly/monthly content performance review
  • Diagnosing why a video underperformed
  • Identifying patterns across top-performing content
  • Building a data-informed content improvement loop

Core Workflow

  1. Metrics hierarchy definition
  2. Performance dashboard template
  3. Single-video deep-dive framework
  4. Comparative analysis (video vs. video, series vs. series, platform vs. platform)
  5. Insight-to-action translation
  6. Iteration planning

Inputs

  • Performance data (manual entry)
  • Video catalog
  • Platform
  • Review period
  • Goals/KPIs

Expected Outputs

  • Review report template
  • Single-video analysis framework
  • Comparative analysis matrix
  • Action plan for next content cycle

Example Prompts

  • "Help me create a weekly performance review framework for my 5 Douyin videos."
  • "My latest video has high views but low completion rate — help me diagnose why."
  • "Compare my top 3 and bottom 3 videos across the last month and suggest improvements."

Trigger Keywords

video analytics, performance review, content review, video metrics, analytics framework, improve video

Safety & Limitations

Analytics framework is process guidance. Does not access, pull, or process platform analytics APIs. All data must be entered manually by the user. Insights are suggestions, not guaranteed improvements. Respect user data privacy.

Generated for project short-video-skills-2026-04-27

Usage Guidance
This skill is documentation-only and appears coherent with its stated purpose: it asks you to enter performance data manually and offers analysis templates and suggestions. Before installing, note that (1) it will not fetch analytics automatically — you must paste or type data yourself, (2) do not paste sensitive or personally-identifiable data into the agent if you are concerned about privacy, and (3) if you want automated pulls from platforms (e.g., TikTok/Douyin APIs) this skill does not support that and would need different credentials and code. If you want extra assurance, open the SKILL.md/ACCEPTANCE.md files in your environment to verify there are indeed no handlers or network calls.
Capability Analysis
Type: OpenClaw Skill Name: sv-analytics-review Version: 1.0.0 The skill bundle is purely descriptive and informational, containing no executable code, scripts, or API dependencies. It provides a structured framework for video performance analysis through markdown documentation (SKILL.md, README.md) and includes a verification checklist (ACCEPTANCE.md) to ensure the absence of functional code.
Capability Assessment
✓ Purpose & Capability
Name/description, SKILL.md, README.md, and skill.json all align: the skill is a guidance/framework for manual video analytics. There are no extra binaries, env vars, or APIs requested that would be unrelated to that purpose.
✓ Instruction Scope
SKILL.md only describes a manual workflow, inputs, outputs, example prompts, and explicitly states it does not access platform analytics APIs. There are no runtime commands, file reads, or network endpoints referenced.
✓ Install Mechanism
No install spec and no code files are present; the skill is instruction-only so nothing will be written to disk or downloaded during install.
✓ Credentials
No required environment variables, credentials, or config paths are declared or used; this is proportionate for a document-only analytics framework.
✓ Persistence & Privilege
always is false and the skill is user-invocable. disable-model-invocation is false (the platform default) but the skill requests no privileges, credentials, or persistent system changes.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install sv-analytics-review
  3. After installation, invoke the skill by name or use /sv-analytics-review
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: document-only short video production workflow skill.
Metadata
Slug sv-analytics-review
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Sv Analytics Review?

Provides a structured framework to analyze short video metrics, extract insights, and plan iterative content improvements based on manual data input. It is an AI Agent Skill for Claude Code / OpenClaw, with 11 downloads so far.

How do I install Sv Analytics Review?

Run "/install sv-analytics-review" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Sv Analytics Review free?

Yes, Sv Analytics Review is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Sv Analytics Review support?

Sv Analytics Review is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Sv Analytics Review?

It is built and maintained by haidong (@harrylabsj); the current version is v1.0.0.

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