Run an autonomous design space exploration loop to optimize program parameters.
npx skills add https://github.com/raja21068/AutoResearch --skill dse-loop-raja21068
Please help me install this Agent Skill. Skill: dse-loop Source: https://github.com/raja21068/AutoResearch/tree/main/skills/aris/dse-loop Command: npx skills add https://github.com/raja21068/AutoResearch --skill dse-loop-raja21068
This Skill removes the manual trial-and-error of parameter tuning by running an execution-grounded design space exploration loop until your optimization goal is met or time runs out.
dse_results/dse_log.csv, maintains state in dse_results/DSE_STATE.json, and supports resuming after context/window compaction.Use the dse-loop skill to run your benchmark while tuning the specified parameters, optimizing the chosen objective, and stopping when the target condition is satisfied or the timeout is reached.
High-intent search queries and answers about installing and using this skill.
Automate iterative parameter tuning by running a design space exploration loop that executes your program, extracts objective metrics, and selects new parameter configurations based on prior results until optimization goals are met or timeout is reached.
Run an execution-grounded design space exploration loop to perform parameter sweeps with constraints for EDA workflows, automatically logging each evaluated configuration and maintaining state to support recovery and reproducibility.
You do not need to specify parameter ranges manually; the exploration loop can read your project source code to infer valid defaults and set conservative, domain-reasonable sweep ranges automatically when ranges are missing.
Design space exploration handles context window compaction by writing each evaluated configuration to a log file and maintaining state in a JSON file, allowing the iterative optimization loop to resume automatically after interruptions.
You can use this for compiler flag optimization and formal verification tuning across tools like gcc, llvm, abc, and sby, applying iterative parameter sweeps to optimize your chosen objective metric.
tqLi99Automates design space exploration loops for computer architecture and EDA parameter optimization.
duypham2801Automate design space exploration by iterating parameter configurations and parsing objective metrics.
londeyEnforce consistent Verilog and SystemVerilog coding style for Verilator linting and Yosys synthesis.
goupup-aiAutomate iterative parameter tuning for electronic design automation and computer architecture workflows.