Skill Claude CodeCodex
Promote exceptionally reviewed DataFlow pipelines into reusable task-pattern skills, or update an inferior same-task skill while preserving comparison evidence and history.
Dataflow-LoopAI is an intelligent system with self-optimization capabilities that automatically detects and evaluates generation deficiencies in LLMs within specific domains. Through dialog-based active data retrieval and self-driven optimization mechanisms, it enables continuous co-evolution between data and models.
Skill Claude CodeCodex
Promote exceptionally reviewed DataFlow pipelines into reusable task-pattern skills, or update an inferior same-task skill while preserving comparison evidence and history.
Skill Claude CodeCodex
Reuse a reviewed pipeline pattern for constructing benchmark-aligned math reasoning SFT records from question-and-answer datasets with verifiable final answers.
Skill Claude CodeCodex
Reasoning-guided pipeline planner that generates standard DataFlow pipeline code.
Skill Claude CodeCodex
Independently audit a generated DataFlow training-data pipeline and its trial artifacts with delegated rubric reviewers before it can be delivered or scaled.
Skill Claude CodeCodex
Create or update a Codex skill with appropriately scoped instructions and any needed supporting resources.
Skill Claude CodeCodex
Analyzer Skill is the Codex/Agent-facing capability for running LoopAI Analyzer independently. It analyzes evaluation outputs, writes Analyzer reports, emits stream events, returns unified success/error payloads, and can compare current results with a historical baseline.
Skill Claude CodeCodex
A configuration and runtime-status tool for LoopAI tasks. It handles task settings and shows where task nodes are in their execution history.
Skill Claude CodeCodex
Skill "Judger" from OpenDCAI/Dataflow-LoopAI, covering judger skill, purpose, how to invoke, configuration and 全局字段(state["judger"] 顶层,所有 bench 共享).
Skill Claude CodeCodex
Use this skill when the user wants LoopAI to validate training data, generate and approve training YAML, run LLaMA-Factory SFT or Verl GRPO, configure rewards, monitor or reconnect to Trainer workers, compare checkpoints, export a trained model, or inspect Trainer failures from starter.yaml or runtime state.
Skill Claude CodeCodex
Use this skill when LoopAI needs dataset discovery, acquisition, web-page collection, DataMixer lakehouse operations, data processing, indexing, recipe planning, or production training-data export. In long-running Codex SDK loops, when Analyzer produces an analysis report, failure taxonomy, or user request that…