gmanch94

agentic-data-curation

gmanch94/claude-code-aidlc-template/.claude/skills/agentic-data-curation/SKILL.md

Designs the training-data curation recipe for post-training an agentic / tool-use model (SFT trajectories + optional RL) — the task-sourcing & generation strategy, executable environments and the verification axis (hard test-based vs soft no-tests), teacher-rollout generation & teacher selection, trajectory filtering & source mixing, and the SFT→RL composition. Use when building a specialized open-weight agent from trajectory data, deciding how to generate agentic training tasks, or curating tool-use / coding / terminal trajectories for fine-tuning. Defers the fine-tune-vs-prompt decision to /fine-tune, RL mechanics + reward design to /rl-design, general modality synthesis to /synthetic-data-gen, eval framework to /eval-design, and the runtime agent loop to /agent-design.