Skills skills-weekly

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

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/ademczuk/skillmetricscraper" ~/.claude/skills/clawdbot-skills-skills-weekly && rm -rf "$T"

manifest: skills/ademczuk/skillmetricscraper/SKILL.md

source content

OpenClaw Skills Weekly

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

What This Skill Does

ClawHub API Discovery — Fetches all ~13K skills from
```
GET https://clawhub.ai/api/v1/skills
```
with cursor pagination. No auth required.
SQLite Time-Series Snapshots — Records daily metrics (installs, downloads, stars) to build 7-day velocity history.
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.
Content Harvesting — Fetches documentation and author info from ClawHub detail API for top-ranked skills.
YouTube Script Generation — Generates GitHubAwesome-style video segments via Claude Haiku: hook-first, technical specs, no popularity metrics, dry newscast tone.
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_NUM:-1}

Replace

${EPISODE_NUM}

with the episode number the user specifies, or default to 1.

If the user says

--skip-x

or doesn't want X/Twitter capture, add

--skip-x

cd "${SKILL_ROOT}" && python3 run_weekly.py --top 10 --skip-x --episode ${EPISODE_NUM:-1}

What this produces:

```
openclaw_weekly_YYYYMMDD.md
```
— Data-rich markdown report with metrics, rankings, and scripts
```
openclaw_weekly_YYYYMMDD_script.txt
```
— Voice-ready video script in GitHubAwesome format

Present both file paths to the user when done.

Expected output:

============================================================
  OpenClaw Skills Weekly — Full Pipeline (v4)
  Week of Mar 01, 2026
============================================================
  PHASE 1: Multi-Source Signal Capture (X + Reddit + HN)
  PHASE 2: ClawHub Data Pipeline
  [1/5] Discovering ClawHub skills...
  [2/5] Saving snapshot...
  [3/5] Ranking by 7-day velocity...
  [4/5] Harvesting content...
  [5/5] Generating YouTube scripts...
  DONE:
    Report: openclaw_weekly_20260301.md
    Script: openclaw_weekly_20260301_script.txt

Snapshot Only (Daily Cron)

For daily snapshot accumulation without script generation:

cd "${SKILL_ROOT}" && python3 run_weekly.py --snapshot-only --skip-x

Tell the user how many skills were captured and how many snapshot dates exist in the DB.

Quick Trending

Show what's trending from existing DB data without re-fetching:

cd "${SKILL_ROOT}" && python3 main.py --list-db

Status

cd "${SKILL_ROOT}" && python3 main.py --list-db

Shows: DB path, total snapshot rows, distinct dates, top skills by current installs.

CLI Options Reference

Flag	Default	Description
`--top N`	10	Number of top movers to include
`--days N`	7	Trailing days for velocity calculation
`--episode N`	1	Episode number for video script cold open
`--skip-x`	false	Skip X/Twitter signal capture
`--snapshot-only`	false	Just record snapshot, no scripts
`--max-pages N`	0 (all)	Limit API pages (for testing)
`--model MODEL`	claude-haiku-4-5-20251001	Anthropic model for script gen
`--output FILE`	auto-dated	Custom output file path
`--mock`	false	Use synthetic data (offline dev)

Environment Variables

Variable	Required	Description
`ANTHROPIC_API_KEY`	Yes	For YouTube script generation via Claude
`GITHUB_TOKEN`	No	For fetching source READMEs from GitHub
`XAI_API_KEY`	No	For X/Twitter signal capture via xAI
`CLAWHUB_BASE_URL`	No	Override ClawHub URL (default: https://clawhub.ai)

Video Script Format

Scripts follow the GitHubAwesome "GitHub Trending Weekly" format:

Cold open: "It is time for OpenClaw Skills Weekly, episode number N..."
Per-skill segments (~20 sec each): Hook first → technical specs → sharp closer
No popularity metrics in narration (no download/install/star counts)
Dry, confident newscast tone — no hype, no superlatives
No outro — last item ends the episode

Architecture

run_weekly.py          # Full pipeline orchestrator
main.py                # Alternative CLI with --list-db
discovery.py           # ClawHub API cursor pagination (~13K skills)
storage.py             # SQLite time-series (slug-scoped dedup, CTE velocity)
ranker.py              # Two-track: Movers + Rockets, author diversity cap
harvester.py           # ClawHub detail API content + author extraction
script_generator.py    # LLM script gen + markdown + video script rendering
community_signals.py   # Multi-source signal loading and rendering
x_capture.py           # xAI x_search API integration
reddit_capture.py      # Reddit + Hacker News signal capture
hourly_heartbeat.py    # Top-500 hourly snapshot + project metadata
project_tracker.py     # OpenClaw GitHub repo metadata tracking
data/metrics.db        # SQLite database (auto-created)