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research-agent
research-agent contiene 13 skills recopiladas de hao-ai-lab, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
System prompt for handling experiment alerts. Provides diagnosis guidance, GPU wrapper context, action suggestions, and structured response from allowed choices.
Default system prompt for agent chat mode. Provides identity, environment context, compute awareness, API-driven job submission, and workflow reflection.
Generates a structured experiment plan with compute-aware recommendations and saves it via the plan API endpoint.
Wraps user steering input with context signals for the model during a wild loop session
Ports new models into FastVideo with strict numerical alignment to official implementations. Use when adding a FastVideo model/pipeline, porting an official or Diffusers checkpoint, or debugging parity/alignment.
Single source of truth protocol for Wild V2 preflight, sweep/run auditability, GPU discovery, and parallel scheduling
Protocol for GPU discovery and parallel run scheduling across local GPU and Slurm clusters
Ideation prompt for Wild Loop V2 - generate high-quality, falsifiable research ideas with proposal and plan artifacts
Iteration prompt for Wild Loop V2 - execution iterations 1+ with phase-aware task tracking and reflection
Planning prompt for Wild Loop V2 - iteration 0 phased planning with reflection, experiment ops, and analytics
Reflection prompt for Wild Loop V2 - runs after DONE to evaluate whether to continue or finalize
Mandatory protocol for creating auditable experiments via sweep/run endpoints in Wild V2
System prompt for Wild Loop V2 — ralph-style autonomous iteration