gitmoot-skillopt Beta v0.2.0b1

gitmoot-skillopt Beta

The paired optimizer package for Gitmoot SkillOpt Beta. This release consolidates the gitmoot-skillopt alpha cycle through v0.2.0a17.

Highlights

• Registers target exec text responses as candidate sample artifacts for Gitmoot preview rendering.
• Supports optimizer views and retry optimizer views for human-feedback-driven SkillOpt training.
• Improves feedback scoping, judge facts handling, and retry behavior.
• Pairs with gitmoot v0.1.0-beta.8.

Features

• Candidate packages attach selected text samples when no structured artifact is available.
• Structured artifacts keep priority over text response fallback.
• Optimizer views provide multiple independent perspectives over the same full human feedback set.
• Retry optimizer views can inherit, auto-resolve, or use an explicit count.
• Feedback-direct optimization can update skills from imported ranked human feedback.
• Selection and retry records include gate rejection context, evaluator facts, and retry metadata.

Workflow Changes

• Old review feedback is scoped to the reviewed baseline outputs instead of automatically capping new candidate outputs.
• Judge/evaluator facts are treated as structured evaluation output for downstream scoring and retry prompts.
• Final test evaluation is disabled by default unless Gitmoot explicitly enables it.
• Candidate sample artifacts are exported so Gitmoot can show candidate previews in review comments.

Known Limits

• This beta is intended to be driven by Gitmoot, not as a polished standalone CLI for every upstream SkillOpt workflow.
• Model-backed optimizer, target, and evaluator calls still depend on local environment credentials/config.
• Prompt optimization behavior remains beta-quality and should be validated through human review loops.
• No PyPI publish was performed; this release follows the local/GitHub beta pattern used during development.

Assets

• gitmoot_skillopt-0.2.0b1-py3-none-any.whl — Python wheel with the gitmoot-skillopt, skillopt-train, and skillopt-eval console scripts.
• gitmoot_skillopt-0.2.0b1.tar.gz — source distribution.
• sha256sums.txt — SHA256 checksums for the release artifacts.

Verification

• Focused pytest coverage for target exec response sample discovery and candidate package sample artifact registration.
• Local package version check with gitmoot-skillopt --version.
• Paired end-to-end Gitmoot training flow verified through the SmithyX review-item workflow.