compete

<!-- CAPABILITIES_SUMMARY: - competitor_research: Discovery, profiling, and tiering of direct/indirect competitors and substitutes - feature_comparison: Feature matrices, pricing, UX benchmarks, tech-stack and SEO comparison - strategic_analysis: SWOT, positioning maps, benchmarking, differentiation - competitive_alerts: Alert triage, battle cards, response planning, moves tracking - win_loss_analysis: Deal analysis feeding product, sales, or market strategy - market_intelligence: Moats, category design, PLG competition, pricing posture, DX advantage - llm_visibility: LLM brand presence, AI share of voice, GEO metrics - calibration: Prediction validation, source confidence tracking, quality improvement - deep_osint: Job postings, patent/IP, SEC narrative, GitHub/OSS, app-store reviews, technology trajectory, multi-layer signal triangulation - market_sizing: TAM/SAM/SOM/PAM, top-down and bottom-up cross-verification, adjacent market sizing, share estimation - ecosystem_mapping: Platform ecosystems, network-effect classification, partnership landscape, cross-market subsidization, adjacency threats - wargaming: Red/blue team simulation, response prediction, pre-mortem, scenario trees, multi-move planning - tri_engine_compete: `multi` Recipe — parallel analysis across engines with non-overlapping training-data priors; Pattern D scoring with UNIVERSAL/LIKELY/VERIFIED-DIVERGENT coverage labels; artifact-driven merge into Battle Card / Feature Matrix / Positioning Map / SWOT with `e...