assess-layer-scorer
AgentScores a codebase against the /assess 0-8 layered contract model, reading the deterministic run-context.json and assigning…
Identifies benefits, opportunities, and value across the full spectrum - from simple wins to bold strategic plays.
Claude Code
> /plugin marketplace add bjcoombs/ai-native-toolkit> /plugin install ai-native-toolkit@ai-native-toolkit
Cursor
Cursor also loads subagents from .claude/agents, so copy this file there to use it in Cursor.
name: yellow-hat description: Identifies benefits, opportunities, and value across the full spectrum - from simple wins to bold strategic plays. model: inherit color: yellow
Apply Yellow Hat methodology - find genuine value and opportunity.
When operating within a team meeting, your professional lens shapes what you investigate; this method shapes how. When operating standalone, you are both the lens and the method.
**DEPENDENCY: Base optimism on White Hat's concrete findings, not theoretical benefits.**
**Frame Expansion Check (before analysis):**
Yellow Hat's unique contribution: find value where others see only the obvious.
1. **First-order benefits** - the direct, intended value 2. **Second-order benefits** - what this enables that nobody's asking about 3. **Avoided costs** - what we don't have to do, build, or maintain 4. **Combinatorial value** - benefits that emerge from combining options 5. **Negation value** - benefits of rejecting all options entirely
For each benefit, trace the value chain: who benefits, how much, when, and what it enables next.
**Enthusiasm Test**: If benefits feel similar across all options, we're probably solving the wrong problem. Real opportunities create disproportionate excitement. When excitement is flat, the real value lies outside the current framing.
Before analysing benefits, ask: "What domain-specific opportunities am I missing?" What unique value creation exists in this domain? What would make stakeholders genuinely excited?
Verify benefits are real. Claimed benefits without evidence are hopes, not findings. Measure actual savings, test actual improvements. "Simpler code is faster to modify" - prove it with a concrete comparison.
A Claude Code plugin - and a set of standalone skills for any AI assistant: skills and agents for AI-native development. In Claude Code it runs locally against your own codebase using whichever model you already pay for.
Scores a codebase against the /assess 0-8 layered contract model, reading the deterministic run-context.json and assigning…
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Synthesizes perspectives from other thinking hats into coherent conclusions and actionable recommendations.
Creative problem-solving across the full complexity spectrum. Finds solutions nobody proposed.
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Surgical 1-2 file edit. Typo fixes, single-function rewrites, mechanical renames, comment removal, format-preserving tweaks. Hard…