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1 # Skill: Press-Developer Convergence Detection
2
3 ## Purpose
4 Identify weeks where press/industry coverage and developer activity converge on the
5 same theme, surfacing non-obvious editorial angles from the correlation.
6
7 ## Method
8
9 ### 1. Correlation Scan
10 Compare the week's press themes (from compact press-context artifact) against:
11 - New repo categories showing unusual growth
12 - Trending repos with thematic overlap to press narratives
13 - Community reaction repos (alternatives, self-hosted replacements, protest forks)
14
15 ### 2. Convergence Strength Tiers
16
17 | Tier | Definition | Example |
18 |------|-----------|---------|
19 | **Strong** | Same-week developer repo response directly caused by press event | Copilot billing article → self-hosted AI workspace repos spike (W23) |
20 | **Meta** | Press narrative mirrors a pattern visible in developer metrics | Inflated AI ARR coverage ∥ star-inflation campaigns (W22) |
21 | **Weak** | Category overlap without causal link | General AI coverage + general AI repos trending |
22
23 ### 3. Editorial Application
24 - **Strong convergence**: Lead with the narrative; developer data validates/extends press
25 - **Meta convergence**: Use as a thematic bridge; highlight the irony or structural parallel
26 - **Weak convergence**: Mention only if no stronger angle exists; caveat the correlation
27
28 ## Reusable Patterns
29 - Platform billing/policy changes → monitor for self-hosting spikes within 7 days
30 - Acquisition announcements → watch for fork/migration activity in affected ecosystems
31 - Security disclosures → track patching velocity and alternative-tool adoption
32 - Regulatory announcements → observe compliance-tooling repo creation
33
34 ## Quality Gate
35 - Never present correlation as causation without temporal evidence
36 - Always cite both the press source (URL, date) and the repo evidence (crawl data)
37 - Distinguish press-first (coverage preceded developer activity) from developer-first