Names the domain (problem classification/sense-making) and a specific methodology (Cynefin triangulation with 3 tests + decomposition), but the concrete actions are somewhat abstract — 'classify problem' and 'route to the right skill chain' describe a meta-process rather than multiple specific tangible actions.

Clearly answers both 'what' (classify problems using Cynefin triangulation to route to the right skill chain) and 'when' (explicit 'Use when:' clause with multiple trigger phrases, plus a helpful exclusion 'NOT for known tasks'). The explicit trigger guidance is well-structured.

Includes a strong set of natural trigger terms users would actually say: 'how should I start', 'where to begin', 'unsure what to do', 'what approach', 'which skill', 'frame'. These closely match how users express uncertainty about how to proceed.

This is a clearly distinct meta-skill for problem framing and routing, not a task-execution skill. The explicit exclusion ('NOT for known tasks — just do them') and the specific Cynefin methodology make it highly unlikely to conflict with other skills that handle actual task execution.

The skill is fairly dense and information-rich, but includes some redundancy (e.g., the anti-patterns section restates points already made inline like LLM bias toward Complicated). The AskUserQuestion guard and triangulation logic are necessary but could be slightly tighter. Overall mostly efficient for the complexity of the framework being taught.

Highly actionable with concrete question templates (T1/T2/T3 with specific answer options mapped to domains), a complete routing table with exact skill chains, specific output format templates for classification results, and clear decision logic at each step. The usage examples show concrete input→output patterns.

Excellent multi-step workflow with clear sequencing (auto-classify → triangulate → decompose if needed → classify+route → handoff). Each step has explicit decision points, convergence/divergence logic for triangulation results, and validation checkpoints (Adjacent Domain Challenge, user confirmation at decomposition and handoff). The misclassification traps serve as error-recovery guidance.

Well-structured with a clear overview flow at the top, detailed steps inline (appropriate for a decision-framework skill), and six clearly-signaled one-level-deep reference files for handoff templates. The When to Use / When Not to Use / Anti-Patterns sections are appropriately placed at the end for reference without cluttering the main workflow.