feat(ultraplan-local): v1.6.0 — /ultraresearch-local deep research command
Add /ultraresearch-local for structured research combining local codebase analysis with external knowledge via parallel agent swarms. Produces research briefs with triangulation, confidence ratings, and source quality assessment. New command: /ultraresearch-local with modes --quick, --local, --external, --fg. New agents: research-orchestrator (opus), docs-researcher, community-researcher, security-researcher, contrarian-researcher, gemini-bridge (all sonnet). New template: research-brief-template.md. Integration: --research flag in /ultraplan-local accepts pre-built research briefs (up to 3), enriches the interview and exploration phases. Planning orchestrator cross-references brief findings during synthesis. Design principle: Context Engineering — right information to right agent at right time. Research briefs are structured artifacts in the pipeline: ultraresearch → brief → ultraplan --research → plan → ultraexecute. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@ -286,9 +286,11 @@ LinkedIn's algorithm weights **completion rate** above all other video metrics.
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| Length | Target Rate | Signal |
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|--------|------------|--------|
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| 30s | 70%+ | Strong — short enough for most viewers |
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| 60s | 55%+ | Good — requires solid hook and pacing |
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| 90s | 45%+ | Acceptable — sweet spot for depth vs retention |
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| 2min | 35%+ | Challenging — only with compelling content |
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| 60s | 55%+ | Good — 2026 sweet spot for depth vs completion |
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| 90s | 45%+ | Risky — retention drops, only for complex frameworks |
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| 2min | 35%+ | Dangerous — most viewers won't hit 30% completion gate |
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**Critical (2026):** LinkedIn requires **30% minimum completion rate** or the video gets **zero distribution**. This makes shorter videos significantly safer. 60 seconds is the new recommended default.
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**How to optimize:**
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- Front-load the most interesting content (not chronological order)
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