Biswajit56546

Creates and refines high-quality academic presentations from research papers. Use this skill for tasks involving the conversion of scientific or technical documents into slide decks for conferences, lectures, or academic reviews.

Refines and restructures existing presentations into concise, high-impact versions suitable for short academic conference talks (e.g., 20 minutes). Focuses on logical flow, information density, and visual consistency.

Plan and execute internet-assisted backside net cost modeling for signal and clock nets, then evaluate stability and correlation against HPWL baselines across multiple designs. Use when users ask to improve/validate backside cost models, choose benchmark designs, compare model vs HPWL, or prepare publishable model-evaluation evidence.

Build and validate theory-grounded optimization models for backside front-vs-back net cost (signal and clock), with strict metric contracts and stability gates against HPWL baselines. Use when users request principled model fitting, crossover reasoning, or promotion decisions from shadow mode to active optimization.

Drive BSPDN objective optimization toward target outcomes (about 8% dynamic-power reduction without area/timing regression, or 5%+ frequency uplift with non-worse power/area) using gated experiments and evidence tracking.

Execute delay-model validation gates against HPWL baselines. Use when evaluating model consistency, running Gate-0 contract checks, building Gate-1 bucketed scorecards, or deciding readiness for active optimization.

Bridge autoIdea literature recommendation, historical formulation, and idea-generation outputs into the current repo's paper/knowledge/skill workflow.

Legacy compatibility shim for historical eda-chief calls. Use when old prompts/scripts still invoke eda-chief, then dispatch to the repo-level agent policy and execution skills.

Convert research ideas into falsifiable hypotheses and experiment plans with metrics, controls, pass/fail criteria, and confounder mitigation.

Generate and refine EDA research ideas through structured brainstorming and pro-vs-con debate, then output a testable idea decision memo.

Maintain and evolve the EDA infrastructure stack (agent policy, knowledge base, tool registry, and skill system) with auditable guardrails and minimal-risk updates.

Explore and structure local EDA knowledge, identify evidence gaps, and prepare targeted literature retrieval tasks for local download and follow-up parsing.

Enforce experiment hygiene for this EDA repo. Utility skill for knowledge gate, tool reuse checks, and maintenance-log updates during scoped execution.

Execute one scoped EDA task under governed gates: run bootstrap checks, route to minimal specialist skills, validate artifacts, and return execution evidence.

Implement EDA research methods from approved hypothesis plans, with integration discipline, measurable contracts, and minimal-risk iteration.

Fetch primary-source paper metadata when evidence is missing or weak for EDA/model/flow claims. Use for requests like building reproducible paper candidate lists, generating user-download queues, and recording citation metadata for local validation.

Summarize local paper PDFs into structured, citation-grounded evidence notes. Use when the user provides local PDF paths and asks for methods/assumptions/results/limitations extraction or wants evidence mapped to current EDA hypotheses.

Before each experiment, analyze latest route/STA evidence, reflect on method gaps, and output concrete improvement hypotheses and next-step A/B plan. Use when user asks to start new experiments or when model/flow conclusions may be unstable.

Run a full EDA research chain from knowledge exploration and paper triage to idea debate, hypothesis experiment design, implementation, git versioning, validation, and retrospective.

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.

Create immutable stage checkpoints for Innovus flows. Use when users ask for fixed golden files or restart-from-stage workflows (place/cts/route) with matched DEF+V+SDC and reproducible manifests.

Package the agent+skill infrastructure into a standalone, portable repository-ready bundle with skill-local tool mirrors.

Theory-level veto skill for EDA plans. Use before expensive experiment submissions or major flow/model changes to identify logically unsound assumptions, contradiction with known physics/policy, and high-risk invalid comparisons. Produces GO/CONDITIONAL/NO-GO with evidence.

Use git to version-control local research/EDA iterations with reproducible checkpoints, clear commit/tag structure, and explicit per-version differentiation records. Use when users ask to create baselines, compare versions, snapshot experiment states, prepare rollback points, or document each version's characteristics and distinguishing deltas.

Apply and validate GT3 backside routing policy in Innovus. Use when configuring CTS/PDN/signal layer usage, submitting GT3 consistency runs, diagnosing zero-backside-nets, or enforcing BPR-reserved-for-PDN constraints.