From thinking-frameworks-skills
Ranks substacker Trend Scout annotated candidates by user fit using weighted scoring across intuition-density fit, goal alignment, dedup penalty, source reliability, and freshness to produce top-10 keep list and drop list with reasons.
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.
Per candidate pool:
- [ ] Step 1: Score each on 5 dimensions (intuition_density_fit, goal_alignment, dedup_penalty, source_reliability, freshness)
- [ ] Step 2: Weighted sum → rank
- [ ] Step 3: Top items with score > threshold (default 30), max 10 → keep list
- [ ] Step 4: Remaining → drop list; per-drop one-line reason using worst-scoring dimension
- [ ] Step 5: Enforce minimum: ≥2-3 drops visible even in slow weeks (ranker transparency)
| Dimension | Weight | Range |
|---|---|---|
| intuition_density_fit | 3.0 | high=10, medium=5, low=0 |
| goal_alignment | 2.0 | full-match=10, partial=5, none=2, anti-aligned=-3 |
| dedup_penalty | 2.0 | NEW=+5, OVERLAPS seed=+2, OVERLAPS draft=0, OVERLAPS published=-2 (unless reinforcement_angle strong) |
| source_reliability | 1.0 | essential=10, optional=6, aggregator=4 |
| freshness | 1.0 | in-window=10, republished=5, older=2 |
Threshold for keep: score > 30.
Candidate: Karpathy microgpt (teaches GPT internals in 200 lines, in window).
Candidate: "OpenAI announces GPT-5.5" release post.
update-watchlist.