escalation-governance
FeaturedAssess whether to escalate models. Use when evaluating reasoning depth.
Install
Quality Score: 96/100
Skill Content
Details
- Author
- athola
- Repository
- athola/claude-night-market
- Created
- 8 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
model-sovereignty
This skill should be used when the user asks about "local models", "custom models", "fine-tuning", "self-hosting models", "model selection", "which model should I use", "data privacy and models", "LoRA", "RAG vs fine-tuning", "Ollama", "vLLM", or wants guidance on whether to build, host, or customise their own AI models.
escalating-to-thinker
Dispatch a think-tier consult when the pipeline is stuck.
ai
Build model-powered behavior — model routing, context engineering, structured outputs, tools/MCP, agents, RAG, memory, evals, guardrails, and cost/observability — across chat, agent, RAG, batch, and multi-agent systems, any provider or language. Use to route a model, engineer context, build an agent or tool loop, add RAG or memory, write evals, or add guardrails. Not for system/threat design (→ architecture), serving or MCP hosting (→ backend), data pipelines (→ data), chat UI (→ frontend), independent QA (→ quality), deploy (→ operate), or deterministic workflows (→ automation).