← 返回 Skills 市场
harrylabsj

Sv Analytics Review

作者 haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
11
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install sv-analytics-review
功能描述
Provides a structured framework to analyze short video metrics, extract insights, and plan iterative content improvements based on manual data input.
使用说明 (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

安全使用建议
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.
功能分析
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.
能力评估
✓ 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.
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 sv-analytics-review
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /sv-analytics-review 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: document-only short video production workflow skill.
元数据
Slug sv-analytics-review
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

Sv Analytics Review 是什么？

Provides a structured framework to analyze short video metrics, extract insights, and plan iterative content improvements based on manual data input. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 11 次。

如何安装 Sv Analytics Review？

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

Sv Analytics Review 是免费的吗？

是的，Sv Analytics Review 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Sv Analytics Review 支持哪些平台？

Sv Analytics Review 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 Sv Analytics Review？

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

推荐 Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463283 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259410 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200423 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191115 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190156 · by oswalpalash

💬 留言讨论