gm-brilliant-implementation
FeaturedRun the full evidence-to-live implementation workflow for large, multi-system, multi-wave, or CPU-delegated 5 Star Booker GM programs.
Install
Quality Score: 95/100
Skill Content
Details
- Author
- notque
- Repository
- notque/vexjoy-agent
- Created
- 5 months ago
- Last Updated
- 2 days ago
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
gm-build
Implement game mechanic functions via worker dispatch. Covers risk-first then main implementation. Dispatches workers until PLAN is clean, then runs one verify+review pass; loops until convergence. Explicit invocation only — use /gm-build.
gameplay-factory
Create or continue gameplay work with continuous primary-agent authorship, tool-owned checkpoints and independent boundary reviews. Resolve project state first; preserve existing CLI and historical formats.
think-like-gpt-5-6
Apply the GPT-5.6 Sol execution-intelligence framework to any complex task. Use when the user asks the agent to "think like GPT-5.6", "use the blueprint", "apply the execution framework", or wants auditable, requirement-driven, evidence-aware task execution. Also trigger on requests that benefit from a controlled 7-step loop (Observe → Interpret → Decide → Act → Verify → Repair → Record) with explicit acceptance criteria, validation gates, risk register, and a final pre-delivery checklist. Best fit for: multi-step coding, research with citations, artifact creation, operational actions, high-stakes guidance, and any task where the user wants inspectable reasoning rather than a fluent black-box answer. Do NOT trigger for trivial single-step requests where the loop overhead exceeds value, or when the user explicitly wants a fast informal answer.