Use when adding a new deck-aware AI feature (DeckFeatures axis) and its companion policies (TacticalPolicy + optional MulliganPolicy) to phase-ai. Codifies the structural-detection pattern, AST-type locations, parts-based predicate convention, registry wiring sites, and recurring review traps so a new feature ships in a single commit without re-research.
EnglishUse when implementing multiple unimplemented mechanics in batch. Creates an agent team that groups items by relevance, plans each group with review loops, then executes sequentially with post-implementation verification. Append the list of mechanics to address after invoking.
EnglishUse when asked to handle, harden, or shepherd one or more external contributor PRs. Checks out PRs in a worktree or main workspace, updates them against origin/main, resolves review comments, performs architecture-focused implementation review, decides whether fixes are inline or require engine-implementer review cycles, and usually closes explicitly deferred follow-up work while already in the PR.
EnglishIncludes Add AI Feature Policy, Batch Mechanics, and PR Contribution Handler.
Supported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Add AI Feature Policy
Use when adding a new deck-aware AI feature (DeckFeatures axis) and its companion policies (TacticalPolicy + optional MulliganPolicy) to phase-ai. Codifies the structural-detection pattern, AST-type locations, parts-based predicate convention, registry wiring sites, and recurring review traps so a new feature ships in a single commit without re-research.
Batch Mechanics
Use when implementing multiple unimplemented mechanics in batch. Creates an agent team that groups items by relevance, plans each group with review loops, then executes sequentially with post-implementation verification. Append the list of mechanics to address after invoking.
PR Contribution Handler
Use when asked to handle, harden, or shepherd one or more external contributor PRs. Checks out PRs in a worktree or main workspace, updates them against origin/main, resolves review comments, performs architecture-focused implementation review, decides whether fixes are inline or require engine-implementer review cycles, and usually closes explicitly deferred follow-up work while already in the PR.
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the Add AI Feature Policy skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
- A coding agent that can access your project files and install skills.
- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- Reported license for the skills shown: Apache-2.0. The author’s terms apply.