From thinking-frameworks-skills
Fetches last 7 days of updates from Trend Scout watchlist including blogs, arXiv/Hugging Face papers, social feeds. Normalizes to {title, url, author, published, excerpt, source_type} tuples for weekly AI trend scouting.
npx claudepluginhub lyndonkl/claude --plugin thinking-frameworks-skillsThis skill uses the workspace's default tool permissions.
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Generates design tokens/docs from CSS/Tailwind/styled-components codebases, audits visual consistency across 10 dimensions, detects AI slop in UI.
Records polished WebM UI demo videos of web apps using Playwright with cursor overlay, natural pacing, and three-phase scripting. Activates for demo, walkthrough, screen recording, or tutorial requests.
Delivers idiomatic Kotlin patterns for null safety, immutability, sealed classes, coroutines, Flows, extensions, DSL builders, and Gradle DSL. Use when writing, reviewing, refactoring, or designing Kotlin code.
At start of weekly Trend Scout run:
- [ ] Step 1: Parse ops/trend-scout/watchlist.md; group by source_type
- [ ] Step 2: For each blog: WebFetch archive URL; extract posts from last 7 days
- [ ] Step 3: For each paper aggregator: WebFetch the listing URL; filter to last 7 days
- [ ] Step 4: For each X account / subreddit: WebFetch the public URL
- [ ] Step 5: Normalize each item
- [ ] Step 6: Deduplicate by URL
- [ ] Step 7: Write .cache/YYYY-WW-raw.jsonl
update-watchlist's job).summarize-signal on survivors).Stored in ops/trend-scout/watchlist.md on Trend Scout's first real run. Starter set clustered by type:
~15 marked essential: true, ~20 essential: false (sampled).
.cache/YYYY-WW-raw.jsonl.