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Fix inconsistent methodology/skills catalog references flagged in review #1930

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pethers merged 2 commits into from
Apr 22, 2026
Merged

Fix inconsistent methodology/skills catalog references flagged in review #1930

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docs: fix core/remaining methodology split in analysis/README.md and …
Copilot Apr 22, 2026
c6ef0b8
Merge branch 'main' into copilot/update-code-based-on-comments
pethers Apr 22, 2026
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2 changes: 1 addition & 1 deletion SKILLS.md
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Expand Up @@ -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
2 changes: 1 addition & 1 deletion analysis/README.md
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Expand Up @@ -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
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