Add community-scanner, seo-pipeline, and daily-news-content example skills#1
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Add community-scanner, seo-pipeline, and daily-news-content example skills#1
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Second example skill demonstrating a real-world pattern: scan Reddit for people with data problems, classify with a structured rubric, and create a PR with a report. Accompanies blog Post 3. - .claude/skills/community-scanner/SKILL.md: 4-phase orchestrator - .claude/agents/classifier.md: 5-question classification agent - lib/scanner.py: Reddit JSON API fetcher (no auth required) - README.md: updated with community-scanner docs - deploy/chart/values.yaml: added community-scanner job Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- SKILL.md: add pipeline diagram, all 5 phases (scan/classify/propose/ report/PR), 13-question classifier rubric inline, strategy taxonomy, learnings section, error recovery, JSON output formats - classifier.md: full 13 questions with product understanding, scoring rubric with what-scores-low/high guidance, output format - proposer.md: new agent with 7-strategy taxonomy, SDK code examples for dedupe/merge/rank, draft response guidelines - scanner.py: add --with-comments flag for thread enrichment, comment fetching via permalink .json endpoint, rate limiting - README.md: updated file tree with proposer agent Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
![sentry[bot]](https://avatars.githubusercontent.com/in/12637?s=60&v=4){kind=small}
| req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT}) | ||
| try: | ||
| with urllib.request.urlopen(req, timeout=30) as resp: | ||
| return json.loads(resp.read().decode()) |
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seo-pipeline: MCP-based GSC data collection, per-page analyzer agents with experiment history tracking, decision framework (aggressive on product pages, conservative on performing research), seo_prepare.py utility for computing deltas and experiment outcomes. daily-news-content: news-finder (RSS), dataset-finder (Wikipedia/gov), sdk-runner (real everyrow rank/screen patterns), graphics-generator (iterative SVG refinement, styles menu, "never make bar charts"), news_feeds.py RSS fetcher utility. Repo now has 4 example skills: add-numbers, community-scanner, seo-pipeline, daily-news-content. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Summary
Adds three real-world example skills alongside the original
add-numbershello world, accompanying Posts 3-5 of the blog series.community-scanner (Post 3)
lib/scanner.py: Reddit JSON API fetcher with--with-commentsenrichmentseo-pipeline (Post 4)
lib/seo_prepare.py: computes deltas, experiment outcomes, per-page input filesdaily-news-content (Post 5)
lib/news_feeds.py: stdlib RSS/Atom feed fetcherFiles
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