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Produce a work plan and stub implementations from the brief and domain analysis

Draft a pull request title, description, and review checklist

Lightweight entry point for small, well-understood changes

Show where a feature is and what to run next

Post-feature retrospective reviewing scope, assumptions, and lessons learned

Open a new feature session with scoping interview and brief

Register a spec file in the manifest and validate it

Query specs, discover gaps, and trace change impact

Implement AIUC-1 controls in AI systems. Provides concrete technical guidance, implementation patterns, policy templates, and evidence artifact generation for each requirement.

Reduces token waste by eliminating verbose pleasantries, fluff, and unnecessary meta-commentary. Activates when the user mentions reducing token usage, being more concise, avoiding fluff, cutting废话, or optimizing response length. Use this skill to minimize overhead in responses. Delivers maximally succinct, no-surplus-word answers without repeating user input, prefacing actions, or adding unreques

Use when you have a written implementation plan to execute in a separate session with review checkpoints

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.