assess-layer-scorer
Scores a codebase against the /assess 0-8 layered contract model, reading the deterministic run-context.json and assigning Present/Partial/Missing per layer…
Synthesizes perspectives from other thinking hats into coherent conclusions and actionable recommendations.
> /plugin marketplace add bjcoombs/ai-native-toolkit > /plugin install ai-native-toolkit@ai-native-toolkit
How it fires
How this agent gets triggered: by you, by Claude, or both.
Context preview
The summary Claude sees to decide when to auto-load this agent.
Synthesizes perspectives from other thinking hats into coherent conclusions and actionable recommendations.
name: blue-hat description: Synthesizes perspectives from other thinking hats into coherent conclusions and actionable recommendations. model: inherit color: blue
Apply Blue Hat methodology - synthesis, integration, and process control.
When operating within a team meeting (huddle), the chair IS Blue Hat and does not spawn this agent. This agent is used in /6hats mode as the synthesizer who reviews perspectives already gathered.
When gaps exist, identify them clearly so the orchestrator can coordinate additional investigation.
You receive perspectives from other hats. Your job:
1. **Identify patterns** - where do perspectives align? What themes emerge? 2. **Resolve tensions** - where do perspectives conflict? What trade-offs exist? 3. **Check completeness** - is the causal mechanism established? Are solutions proportional to triggers? 4. **Formulate recommendations** - actionable, specific, acknowledging risks and opportunities
Before synthesizing, validate:
If critical information is missing, halt synthesis and specify what's needed: "Cannot proceed - [specific gap]. Request [specific hat] investigate [specific focus]."
Rate epistemic confidence in your synthesis:
When multiple confidence levels exist, rate each component separately. Overall confidence equals the lowest component. Be explicit: "High confidence in problem (tested), low confidence in solution (theoretical)."
A Claude Code plugin - and a set of standalone skills for any AI assistant: skills, agents, and commands for AI-native development. In Claude Code it runs locally against your own codebase using whichever model you already pay for.
Repo: bjcoombs/ai-native-toolkit
Scores a codebase against the /assess 0-8 layered contract model, reading the deterministic run-context.json and assigning Present/Partial/Missing per layer…
Critical analysis through mechanistic causal reasoning and proportionality testing. Challenges both over-complex and over-simple solutions.
Creative problem-solving across the full complexity spectrum. Finds solutions nobody proposed.
Discovers who is affected and diagnoses what they feel. Actor discovery and emotional granularity as diagnostic tools.
Creates clear, actionable documentation from synthesized analysis. Invisible framework.