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eda-retrolisted

Perform post-experiment retrospective for EDA runs, classify failure/success mechanisms, propose high-confidence next actions, and decide whether to recursively trigger a new eda-loop iteration. Use after each experiment batch with monitor/summary/manifest artifacts.
Biswajit56546/EDAgent · ★ 0 · AI & Automation · score 60
Install: claude install-skill Biswajit56546/EDAgent
# EDA Retro ## Overview Use this skill immediately after an experiment batch finishes. It converts raw artifacts into a structured "what happened / why / what next" decision and gates whether a recursive next run is justified. ## Inputs Minimum required: 1. run summary markdown (`*.summary.md`) 2. monitor/history (`*.monitor.md`, `*.monitor.history.tsv`) or manifest (`*.tsv`) 3. key report sources (postCTS/postRoute summary, DRV/type/length distributions, gate outputs) Optional but preferred: 1. knowledge-base references used for this batch 2. web/primary-source references for unstable assumptions ## Workflow 1. Consolidate observations - extract the smallest set of outcome metrics: - timing (`WNS/TNS/ViolPaths`) - PPA (`power/area/runtime`) - geometry/routing (`backside usage`, `type/length distribution`, `long-net capture`) - gate status (`H1/H2/H3` or equivalent) 2. Diagnose mechanism, not symptoms - assign one primary mechanism and optional secondary mechanisms: - `model_mismatch` - `flow_policy_mismatch` - `resource_capacity_conflict` - `tool_stability_issue` - `insufficient_evidence` 3. Score improvement proposals - for each candidate change, score: - `confidence` (low/medium/high) - `impact` (low/medium/high) - `cost` (low/medium/high) - `risk` (low/medium/high) 4. Decide recursion - trigger recursive `eda-loop` only when: - confidence >= medium - expected impact >= medium - risk is acceptable - evidence gap is not blocking -