tilegym-adding-cutile-kernel
Covers registering new operators in ops.py, implementing the cuTile backend, and exposing exports through __init__.py. Includes test creation and benchmarks in tests/benchmark.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Covers registering new operators in ops.py, implementing the cuTile backend, and exposing exports through __init__.py. Includes test creation and benchmarks in tests/benchmark.
Retrieves EV charging-station locations, charger types, and current status by region, station, or location text in Korea. Supports follow-up actions through official interfaces in Dolsoe.
Provides an evidence-gated optimization workflow using measurement contracts, the Three Walls framework, and parallel folding. Covers profiling, matched A/B tuning, and final validation.
Provides sizing rules and hardware topology mapping for parallelism strategies. Covers configuring combined parallelism in Megatron Bridge.
Evaluates Stockbee-style episodic pivots triggered by earnings, guidance, deals, regulatory events, and other catalysts. Scores catalyst quality, price and volume expansion, revaluation context, liquidity, and risk relative to the event-day low.
Queries the Environment Ministry's zero-emission vehicle portal for local EV subsidy notices, applications, deliveries, and remaining allocations. Covers passenger cars, trucks, and buses, including application availability, exhaustion or closure, planned extra funding, and model-based subsidy estimates.
Sets up and launches local Lightning previews for apps or individual components. Extracts runtime DOM, including shadow DOM, to investigate differences between templates and rendered output.
Analyzes a single .NET project to identify repositories, DAOs, and service layers that access the database. Produces a structured integration testing plan for migration validation and data access test coverage.
Helps identify PUDL tables, interpret columns, and understand data quality warnings and limitations. Loads Parquet data without the PUDL Python package and locates data on electricity generation, utilities, fuels, emissions, and related energy topics.
Selects statistical tests, generates analysis code, and applies four rounds of review. Interprets results and reports p-values, effect sizes, and confidence intervals for research papers.
Helps build proactive communication and alignment with managers and founders. Focuses on securing resources, increasing autonomy, and driving business impact.
Supports development with the openai-agents Python package, including multi-agent handoffs, function tools, structured outputs, and session management. Covers streaming, tracing, guardrails, and Azure OpenAI access through LiteLLM.
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