Reconcile external-link and topic-relevance reach-loss framing to the algorithm-signals
SSOT across 6 files (10 edits): body links "correlate with lower reach" (LinkedIn denies
an intentional penalty), topic relevance is a positive ranking input with no quantified
off-topic figure. 3 plan-cited lines + 7 same-class siblings surfaced during verify.
Bucket B (link-penalty lines in linkedin-formats.md) folded into S28; Bucket D (other
unsourced reach-coefficients: -68%/-25%/-15-25%/-30-50%/55%) queued as new S30. Engagement-
pod + AI-slop "penalized" framing left intact (officially confirmed). Gate 81/0/0; counts
29/19 unchanged.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016qgzo6rxthw7KuxHjn5vyE
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>
