From thinking-frameworks-skills
Attributes Substack post performance outliers (|z| ≥ 1.0) to subject-line, topic zeitgeist, external shares, day-of-week, length, or audience-notes effects with calibrated confidence levels. Use after baseline computation.
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.
For each |z| ≥ 1.0 post:
- [ ] Step 1: Check 6 attribution channels (subject line, topic zeitgeist, external share, day-of-week, length, audience-notes match)
- [ ] Step 2: Per channel, rate confidence: high / medium / low / absent
- [ ] Step 3: If no channel ≥ medium, return "unexplained — candidate hypotheses: A, B, C"
- [ ] Step 4: If ≥1 channel ≥ medium, attribute with confidence label
unexplained is a valid output.