GPT 6 Astra Skill — AI skill for Claude Code

Astra Skill Optimizer

Astra Skill Optimizer compatibility and personal workflow optimization

Astra Skill Optimizer adapts existing project Skills and workflows when new GPT-6/Astra model behavior makes older constraints unreliable. Select one project and its related Skills; the workflow produces evidence-bound findings, minimal changes, and reproducible validation. Long term it becomes a Jarvis-like personal and community Skill optimization system.

Plain language here does not mean the shortest possible answer. It means a decision-complete explanation: conclusion first, then enough evidence, impact, action, and acceptance detail for the user to understand the problem without translating jargon or asking what the report means.

**Astra Skill Optimizer is the current public product and repository identity.** The legacy Python package and CLI remain as compatibility entry points during migration.

**The public identity is Astra Skill Optimizer.** The existing Python package and CLI remain compatibility entry points during the naming migration. The current plugin is a thin Skill workflow; complete GPT-6/Astra adaptation still requires real project feedback.

[中文说明](README.zh-CN.md) · [product completion contract](docs/V1_PRODUCT_CONTRACT.md) · [stable contract](docs/V1_STABLE_CONTRACT.md) · [roadmap](ROADMAP.md) · [security](SECURITY.md) · [Codex alignment](docs/CODEX_ALIGNMENT_RESEARCH.md)

The repository naming migration and public metadata alignment are tracked separately from historical release records.

Why it exists

Long AI-assisted projects lose decisions inside chat: the current goal drifts, old requirements reappear as facts, useful behaviour gets removed during a fix, and a digest is mistaken for proof that a report is true or approved. Astra Skill Optimizer gives GPT-6/Astra workflows a narrow compatibility loop:

one selected target
  -> goal and current stage
  -> main problem and preserved behaviour
  -> one reviewable improvement