eda-preflight-reflect

Analyze EDA route and timing evidence to produce a go/no-go decision.

8|3|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/Mr-Fang-VLSI/EDAgent --skill eda-preflight-reflect
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: eda-preflight-reflect
Source: https://github.com/Mr-Fang-VLSI/EDAgent/tree/main/skills/eda-preflight-reflect
Command: npx skills add https://github.com/Mr-Fang-VLSI/EDAgent --skill eda-preflight-reflect

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Many EDA experiment runs are wasted or lead to misleading conclusions because submissions proceed without a disciplined review of route geometry, reroute reports, and timing deltas; this Skill formalizes that preflight review so experiments start from verifiable evidence and explicit acceptance criteria.

Core Features & Use Cases

  • Evidence lock: gather case-level TSV/MD summaries, routed DEF occupancy, reroute reports, and timing delta metrics before claiming optimizations.
  • Reflection checklist: evaluate backside presence, long-net capture, timing consistency, capacity pressure, and policy-vs-model dominance with a structured pass/fail output.
  • Artifact generation and decision: produce a ranked root-cause hypothesis, one-line hypotheses, minimal A/B/C next-step plans with acceptance criteria, and an explicit go/no-go for experiment submission.
  • Use case: run this before submitting a new batch of reroute experiments to avoid resubmitting policy-driven artifacts that lack geometric backing or that worsen timing.

Quick Start

Analyze the latest case TSV, routed DEF, reroute report, and timing deltas and produce a preflight_reflection markdown with ranked root causes, A/B/C plans, and a clear go/no-go decision.

Frequently Asked Questions about eda-preflight-reflect

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate route and timing evidence before running new EDA experiments?

To validate route and timing evidence before EDA experiments, analyze case-level TSV/MD summaries, routed DEF occupancy, reroute reports, and timing delta metrics to produce a go/no-go decision with explicit acceptance criteria.

What is a preflight check in EDA routing and static timing analysis workflows?

A preflight check in EDA routing and STA workflows is a disciplined review of route geometry, reroute reports, and timing deltas that ensures experiments start from verifiable evidence rather than policy-driven artifacts lacking geometric backing.

How do I identify method gaps in EDA reroute experiment planning?

Identify method gaps in EDA reroute planning by applying a structured reflection checklist evaluating backside presence, long-net capture, timing consistency, capacity pressure, and policy-vs-model dominance to generate a pass/fail output.

Can I generate root-cause hypotheses from timing delta metrics and reroute reports?

Yes, you can generate ranked root-cause hypotheses from timing delta metrics and reroute reports by collecting case-level artifacts and producing one-line hypotheses with minimal A/B/C next-step plans and acceptance criteria.

When should I run a preflight reflection on EDA routing experiments?

Run a preflight reflection on EDA routing experiments before submitting new reroute experiment batches to avoid resubmitting policy-driven artifacts that lack geometric backing or that worsen timing outcomes.

What acceptance criteria should I set for static timing analysis preflight checks?

Acceptance criteria for STA preflight checks should include timing consistency validation, capacity pressure evaluation, and explicit pass/fail thresholds for policy-vs-model dominance before producing a go/no-go experiment submission decision.