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 needs its repo
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 Codex
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 compares completed versions of the same task and benchmark. Code, Text2SQL and Math Rollout share…
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
An evaluation workflow for measuring how well generated code, SQL, or general text answers perform. TDD here is not involved; the workflow runs code tests, executes SQL against SQLite, or uses a general text evaluator.
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 needs its repo
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…
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