docs: fix core/remaining methodology split in analysis/README.md and reconcile SKILLS.md +4-since-2026-02-20 summary

Agent-Logs-Url: https://github.com/Hack23/riksdagsmonitor/sessions/6b48542c-bf9f-4b3e-875b-861ed38c2bb1

Co-authored-by: pethers <1726836+pethers@users.noreply.github.com>

Author: Copilot

SKILLS.md

@@ -1641,5 +1641,5 @@ Many tasks benefit from combining multiple skills:
 
 **Last Updated**: 2026-04-22  
 **Total Skills**: 91  
-**New Skills (2026-02-20 → 2026-04-22)**: 18 skills added from Hack23 repos (security, development, governance, platform, design); +4 since 2026-02-20 (`seo-best-practices`, `global-government-analysis`, `investigative-journalism`, `myndigheter-monitoring` per catalog reconciliation)  
+**New Skills (2026-02-20 → 2026-04-22)**: 18 skills added from Hack23 repos (security, development, governance, platform, design); +4 since 2026-02-20 (`business-model-canvas`, `mcp-gateway-configuration`, `mcp-gateway-security`, `seo-best-practices` per catalog reconciliation)  
 **Maintained by**: Hack23 AB

analysis/README.md

@@ -153,7 +153,7 @@ flowchart LR
 | Validate output format (quality gate) | Fill template sections with generated content |
 | Move/rename files | Produce "placeholder" analysis that looks real |
 
-**The AI agent reads the 6 core methodology guides (of 11 total) and the 8 core output templates (of 23 total), reads the actual data, and produces genuine analytical content based on evidence found in the documents.** The remaining 5 methodology files (electoral-domain, political-style-guide, strategic-extensions, structural-metadata, ai-driven-analysis-guide) provide domain-specific and meta-methodology context; the remaining 15 templates cover Tier-C aggregation (scenario-analysis, executive-brief, coalition-mathematics, election-2026-analysis, historical-parallels, comparative-international, devils-advocate, forward-indicators, implementation-feasibility, intelligence-assessment, media-framing-analysis, methodology-reflection, voter-segmentation, data-download-manifest, cross-reference-map).
+**The AI agent reads the 6 core methodology guides (of 11 total) and the 8 core output templates (of 23 total), reads the actual data, and produces genuine analytical content based on evidence found in the documents.** The remaining 5 methodology files (electoral-domain, per-document, strategic-extensions, structural-metadata, synthesis) provide domain-specific and meta-methodology context; the remaining 15 templates cover Tier-C aggregation (scenario-analysis, executive-brief, coalition-mathematics, election-2026-analysis, historical-parallels, comparative-international, devils-advocate, forward-indicators, implementation-feasibility, intelligence-assessment, media-framing-analysis, methodology-reflection, voter-segmentation, data-download-manifest, cross-reference-map).
 
 **Fallback mechanism:** If AI analysis fails or produces unusable output (detected by the quality gate bash check in `.github/prompts/` — see the README for the module catalogue), the workflow should:
 1. Commit a minimal `data-download-manifest.md` documenting what was downloaded