content-consolidation

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Merges, deduplicates, and filters 5 interim files for enterprise relevance. Use when running Phase 1C of the newsletter pipeline. Takes 5 source-specific interim files from Phase 1B, consolidates into 30-50 enterprise-relevant discoveries. Keywords: consolidation, phase 1c, deduplication, enterprise filter, discoveries.

briancl2 By briancl2 schedule Updated 2/13/2026

name: content-consolidation description: "Merges, deduplicates, and filters 5 interim files for enterprise relevance. Use when running Phase 1C of the newsletter pipeline. Takes 5 source-specific interim files from Phase 1B, consolidates into 30-50 enterprise-relevant discoveries. Keywords: consolidation, phase 1c, deduplication, enterprise filter, discoveries." metadata: category: domain phase: "1C"

Content Consolidation

Merge, deduplicate, and filter 5 Phase 1B interim files into a single discoveries document.

Quick Start

  1. Read all 5 interim files from Phase 1B
  2. Aggregate items into a working list with source tracking
  3. Deduplicate: same feature from multiple sources becomes one item
  4. Categorize into 5 taxonomy categories
  5. Filter for enterprise relevance (score 5+)
  6. Write output to workspace/newsletter_phase1a_discoveries_YYYY-MM-DD_to_YYYY-MM-DD.md

Inputs

All 5 Phase 1B interim files (required):

  • workspace/newsletter_phase1b_interim_github_*.md
  • workspace/newsletter_phase1b_interim_vscode_*.md
  • workspace/newsletter_phase1b_interim_visualstudio_*.md
  • workspace/newsletter_phase1b_interim_jetbrains_*.md
  • workspace/newsletter_phase1b_interim_xcode_*.md

Output

  • File: workspace/newsletter_phase1a_discoveries_YYYY-MM-DD_to_YYYY-MM-DD.md
  • Target: 20-40 items with balanced category distribution

Legacy naming note: The output filename uses phase1a_discoveries despite being produced by Phase 1C. This is a historical convention preserved for compatibility with benchmark data, archived intermediates, and downstream prompt references. All downstream consumers (content-curation, prompts, agent) reference this exact name pattern.

Core Workflow

Key finding (see reference/source-intelligence/meta-analysis.md): Cross-cycle analysis shows the pipeline does NOT cut items. 100% discovery survival in Aug+Jun+May 2025. The real editorial value is in ADDITIONS (Azure, devblogs, resources), BUNDLING (models, parity, governance), and EXPANSION (flagships). This phase should ENRICH and CONSOLIDATE, not just filter.

Step 1: Aggregate

Read all 5 interim files. For each item, record: source file, date, title, URLs, status (GA/PREVIEW), relevance score, IDE support.

Step 1.5: Enrich (Gap-Filling)

Check for known under-discovery gaps (L29, L30, L31). These sources are consistently missing from Phase 1B output but always appear in published newsletters:

  • Visual Studio devblogs: Search GitHub Changelog for entries containing "Visual Studio". Check devblogs.microsoft.com/visualstudio/ for monthly Copilot updates.
  • Azure ecosystem: Check devblogs.microsoft.com/devops/ for Azure DevOps migration content, Azure MCP Server, Copilot for Azure updates.
  • GitHub news-insights: Check github.blog/news-insights/company-news/ for strategic CPO/CEO announcements not in the changelog feed.
  • Enablement resources: Check resources.github.com for new rollout playbooks, training content, Copilot Fridays additions.

Step 2: Deduplicate

See consolidation-rules.md for full dedup logic.

Key rules:

  • Same feature from multiple sources: merge into single item, keep earliest date, combine all URLs, note IDE support breadth
  • Same feature with different dates: single item with rollout timeline
  • Similar but distinct features (e.g., "Auto model for VS Code" vs "Auto model for JetBrains"): keep separate but note relationship

Step 3: Categorize

Apply the 5-category taxonomy with target counts:

Category Target Count Scope
Monthly Announcement Candidates 3-5 Platform-wide, major launches, enterprise-impacting
Copilot Latest Releases 8-12 Models, IDE features, chat/agent enhancements
Copilot at Scale 4-6 Admin, policy, metrics, adoption, customization
GitHub Platform Updates 5-10 GHAS, Actions, Code Search, PRs, general platform
Deprecations and Migrations 0-3 End-of-life, migration requirements

Step 4: Enterprise Relevance Filter

Apply relevance scoring (1-10 scale):

  • 9-10: Must include (GA enterprise features, major security)
  • 7-8: Strong candidate (significant updates)
  • 5-6: Include if space permits
  • 1-4: Exclude

Always exclude: Copilot Free/Individual/Pro/Pro+ features, consumer-only features, minor bug fixes.

Step 5: Label and Validate

  • Apply consistent status labels: (GA), (PREVIEW), (EXPERIMENTAL), (DEPRECATED), (RETIRING)
  • Add IDE support matrix using checkmarks
  • Cross-reference: model releases should appear in Changelog + IDE notes; feature GA should appear in Blog + Changelog
  • Verify all items are within DATE_RANGE and Reference Year

Step 5.5: Coverage Audit

Check that ALL standard newsletter categories have been assessed. If a category that appeared in recent newsletters has ZERO items, explicitly note: [Category]: No updates found in DATE_RANGE (verified: checked [sources]). This prevents silent omission of recurring sections.

Standard categories to audit: Security Updates, Code Quality, Platform Updates, Enterprise Admin, IDE Updates, Copilot Features, Deprecations.

Step 6: Write Output

Write the discoveries file with:

  • Coverage summary table (source, item count, date range)
  • Items organized by category
  • Each item with full metadata
  • Validation results checklist

Reference

Done When

  • Discoveries file exists at workspace/newsletter_phase1a_discoveries_*.md
  • Total items: 20-40
  • Category distribution within target ranges
  • Zero duplicate items across sources
  • No consumer-plan items included
  • All items have source URLs (markdown links)
  • All items within DATE_RANGE
  • IDE coverage from all 5 sources represented
Install via CLI
npx skills add https://github.com/briancl2/CustomerNewsletter --skill content-consolidation
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