From thinking-frameworks-skills
Computes rolling 4-week baselines for Substack metrics including open rate, click rate, views-per-send, and subscriber delta from archived CSVs. Outputs z-scores, trimmed medians, IQRs, confidence levels, and cold-start flags.
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 week:
- [ ] Step 1: Load last 4 weekly CSVs from corpus/stats/
- [ ] Step 2: For each metric (open_rate, click_rate, views_per_send, weekly_sub_delta):
- Compute 4-week median
- Compute trimmed median (drop 1 outlier)
- Compute IQR
- [ ] Step 3: z-score = (current - median) / IQR
- [ ] Step 4: If <4 weeks in history, return baseline: not-yet-established
- [ ] Step 5: Emit baseline object per metric with confidence flag
{
"open_rate": {"current": 0.47, "median_4w": 0.49, "trimmed_median": 0.49, "iqr": 0.03, "z": -0.67, "confidence": "medium"},
"click_rate": {...},
"views_per_send": {...},
"weekly_sub_delta": {...},
"cold_start": false
}
Confidence: high if 4+ weeks and low IQR. medium if 4+ weeks and typical IQR. low if N<4.
attribute-performance.