1f04af85ad
Skill: NONE | Type: troubleshooting Summary: EPISODIO 23 — ember_experience: [R46.seccion2.L1] PRISMA-VIZ aplicado — Análisis
3.7 KiB
3.7 KiB
| episode_id | puente_flat | session_code | acto_dialogico | actor_flujo | criticidad_aegis | skill_dominante | fase_proyecto | tipo_semantico | summary_one_line | source_type | trust_boundary | created_at | relectura_tagged | forgejo_commit_sha |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| da53449e-a87a-45ba-9471-1e55e3060914 | TRAZA_r46seccion2l1-prisma-viz-aplicado-anlis_S20260524.R23_XX.ops.2.hot_inf.in.cc.es.000.MGQ_J.PMCFK_E.SGNFD | S20260524.VERIFY_MARIMO_RENDER_BRASALUZ | informar | multi_actor | low | NONE | operations | troubleshooting | EPISODIO 23 — ember_experience: [R46.seccion2.L1] PRISMA-VIZ aplicado — Análisis problema da | claude_code | internal | 2026-05-25T15:49:18.965960+00:00 | false | pending |
[R46.seccion2.L1] PRISMA-VIZ aplicado — Análisis problema dashboard monitoring pipeline memoria EMBER
Ejecuté PRISMA-VIZ Pipeline [0] Diagnose → [1] Classify → [2] Select method → [3] Generate → [4] Validate sobre tu problema R45+R46.
5 preguntas pre-generation PRISMA-VIZ (auto-respondidas)
| # | Pregunta | Respuesta diagnóstica |
|---|---|---|
| 1 | STRUCTURE | Branched + Causal + Comparative (27 estaciones + cross-store + bugs) |
| 2 | DIMENSIONS | 3D+ (throughput × ratio retrieval × LEXICON × crisol × drift × bugs) |
| 3 | TYPE | Multi-tipo: comparativo (5 propuestas) + exploratory (gaps HyDE unknown) + sequential (27 estaciones) + causal (root causes) |
| 4 | DETAIL LEVEL | L2-L3 (HTML interactive o React component — John pidió "tiempo real + bombos y platillos") |
| 5 | QUANTIFIABLE | SÍ alto (throughput counts, retrieval ratios, drift numbers) → Decision Matrix + Sankey + Flowchart |
Top 5 métodos PRISMA-VIZ recomendados (matched ranking)
| Rank | Método | Aplicación | Justificación PRISMA-VIZ |
|---|---|---|---|
| 🥇 1 | Sankey Diagram (L2 HTML) | 27 estaciones pipeline flow + volumen fragments | "Quantitative flow + how it splits + resource distribution" |
| 🥈 2 | Flowchart (L2 HTML) | Crisol F0-F6 + decision points cross-store | "Process/workflow + pipeline + if/then" |
| 🥉 3 | Decision Matrix (L1 Mermaid) | 5 propuestas dashboard ranking multi-criteria | "Multi-criteria comparison + weight factors + scoring" |
| 4 | Graph of Thoughts (L2) | Cross-store feedback loops + drift dependencies | "Multiple variables + feedback loops + everything connected" |
| 5 | Fishbone (Ishikawa) (L1 Mermaid) | Root cause bugs (B-NEW11 NULL + B-NEW26 manifest) | "Why did it happen + root cause + diagnosis" |
Guidance PRISMA-VIZ refina Propuesta R45
Aplicación concreta refinada de PRISMA-VIZ a las 5 propuestas R45:
| Propuesta R45 | Métodos PRISMA-VIZ óptimos aplicables |
|---|---|
| A. Notebook marimo LIVE | Flowchart (state machine) + Sankey (volume flow) + Heatmap (cross-tab) + Timeline (24h history) |
| B. Tests HyDE Exhaustivos | Decision Matrix (38 EPs × precision/recall/MRR) + Calibration plot (VIZ-PUBLICATION J family) |
| C. Dashboard SLI/SLO | Decision Matrix (SLIs × SLOs × error budget) + Forest plot (meta-analysis) + Timeline trends |
| D. Sankey 27 estaciones | Sankey PRISMA-VIZ ✅ (esto es el método PRIMARIO PRISMA-VIZ ranked #1) |
| E. Suite combinada | TODOS los 5 métodos aplicados across notebooks + reportes |
Skill DIRECTOR audiovisual (mencionado John "audiovisuales")
DIRECTOR skill (no leí completo R46) — declarado catálogo CLAUDE.md raíz: "AV production pipeline / produce video, comercial". Esto sugiere DIRECTOR podría fabricar video tutorial corto explicando pipeline EMBER. Pero ese skill es heavy (~5-15K tokens + production tools).
Recomendación PRISMA-VIZ + R45 actualizada: