com um clique
isanagent
isanagent contém 12 skills coletadas de altaidevorg, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.
Skills neste repositório
MaxEvolve Triton/PyTorch to JAX/Pallas porting with GpuToJax 12-step pipeline, interpret=True validation, MAP-Elites evolution, and Colab/SSH hardware profiling.
Manage Google Colab sessions and execute code on remote Colab VMs via the colab-cli.
Use when you need to generate a synthetic dataset. You can use Afterimage Python package to create, conversational, tool-calling, multi-choice questions, or other types of structured output datasets for SFT, or preference data for DPO.
Schedule deferred or recurring work via the isanagent cron tool—add/remove jobs with correct runtime context fields.
Configure long wall clocks and use execution_run_background + job polling for ML or hours-long runs without blocking the agent loop.
Run numeric or ML code through isanagent execution tools without flooding context—artifacts, incremental runs, sandbox paths.
Turn papers and docs into a concrete training or evaluation recipe (datasets, metrics, hyperparameters, fine-tuning code).
Checklist before long execution_run or execution_run_background for ML/training scripts.
Out-of-memory and resource pressure recovery without changing the user's training objective.
Interpret Jupyter execution sessions in isanagent—attachments, kernel cwd, tokens; contrast with local provider behavior.
Debug failing scientific Python inside isanagent execution_run—tracebacks, truncation, seeds, provider mismatch.
Author or refine workspace-local skills (SKILL.md) so future turns load concise, agent-oriented procedures.