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skills-weekly

OpenClaw Skills Weekly — tracks trending ClawHub skills, generates GitHubAwesome-style YouTube video scripts with two-track ranking (Movers + Rockets).

ademczuk0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install ademczuk/skillmetricscraper

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

OpenClaw Skills Weekly

Automated pipeline for tracking trending ClawHub skills and generating YouTube-ready video scripts in the GitHubAwesome format.

What This Skill Does

  1. ClawHub API Discovery — Fetches all ~13K skills from GET https://clawhub.ai/api/v1/skills with cursor pagination. No auth required.
  2. SQLite Time-Series Snapshots — Records daily metrics (installs, downloads, stars) to build 7-day velocity history.
  3. Two-Track Ranking — MOVERS (established skills, 30+ days, ranked by install velocity) and ROCKETS (new skills <30 days, with recency bonus). Author diversity cap prevents one author from dominating.
  4. Content Harvesting — Fetches documentation and author info from ClawHub detail API for top-ranked skills.
  5. YouTube Script Generation — Generates GitHubAwesome-style video segments via Claude Haiku: hook-first, technical specs, no popularity metrics, dry newscast tone.
  6. Dual Output — Markdown report (.md) + voice-ready video script (.txt).

Commands

Parse the user's request and route to the correct mode:

User says Mode What happens
weekly report or full report or generate report Full Pipeline Discovery → snapshot → rank → harvest → scripts → output
snapshot or daily snapshot Snapshot Only Record ClawHub metrics to DB (no scripts)
trending or what's trending Quick Trending Show top 10 from existing DB data
status or db status Status Show DB health and snapshot history
video script or generate script Script Only Re-generate scripts from last snapshot (no re-fetch)

Full Pipeline (Weekly Report)

First, install dependencies if not already present:

cd "${SKILL_ROOT}" && pip install -r requirements.txt --quiet 2>/dev/null || pip3 install -r requirements.txt --quiet

Then run the full pipeline:

cd "${SKILL_ROOT}" && python3 run_weekly.py --top 10 --episode ${EPISODE_...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/ademczuk/skillmetricscraper
Version
—
Commit
bb2d1d289d826a5e6ffd3f505d569d1582c499c1
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# OpenClaw Skills Weekly

Automated pipeline for tracking trending ClawHub skills and generating YouTube-ready video scripts in the GitHubAwesome format.

## What This Skill Does

1. **ClawHub API Discovery** — Fetches all ~13K skills from `GET https://clawhub.ai/api/v1/skills` with cursor pagination. No auth required.
2. **SQLite Time-Series Snapshots** — Records daily metrics (installs, downloads, stars) to build 7-day velocity history.
3. **Two-Track Ranking** — MOVERS (established skills, 30+ days, ranked by install velocity) and ROCKETS (new skills <30 days, with recency bonus). Author diversity cap prevents one author from dominating.
4. **Content Harvesting** — Fetches documentation and author info from ClawHub detail API for top-ranked skills.
5. **YouTube Script Generation** — Generates GitHubAwesome-style video segments via Claude Haiku: hook-first, technical specs, no popularity metrics, dry newscast tone.
6. **Dual Output** — Markdown report (`.md`) + voice-ready video script (`.txt`).

## Commands

Parse the user's request and route to the correct mode:

| User says | Mode | What happens |
|---|---|---|
| `weekly report` or `full report` or `generate report` | Full Pipeline | Discovery → snapshot → rank → harvest → scripts → output |
| `snapshot` or `daily snapshot` | Snapshot Only | Record ClawHub metrics to DB (no scripts) |
| `trending` or `what's trending` | Quick Trending | Show top 10 from existing DB data |
| `status` or `db status` | Status | Show DB health and snapshot history |
| `video script` or `generate script` | Script Only | Re-generate scripts from last snapshot (no re-fetch) |

## Full Pipeline (Weekly Report)

First, install dependencies if not already present:

```bash
cd "${SKILL_ROOT}" && pip install -r requirements.txt --quiet 2>/dev/null || pip3 install -r requirements.txt --quiet
```

Then run the full pipeline:

```bash
cd "${SKILL_ROOT}" && python3 run_weekly.py --top 10 --episode ${EPISODE_...

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