The description lists multiple specific concrete actions: migrating, restructuring, publishing, auditing skills into tiles; converting file formats; fixing Quality/Impact/Uplift scores, frontmatter, metadata, tile.json, README, markdown reference links; pushing scores from 88-99% to 100%. Very detailed and action-oriented.

The description opens with an explicit 'Use when' clause covering multiple trigger scenarios (migrating, restructuring, publishing, auditing) and then details what the skill does (converting files, fixing various quality dimensions, pushing scores to 100%). Both 'what' and 'when' are clearly addressed.

Excellent coverage of natural terms a user would say: 'Tessl tile', 'SKILL.md', 'tile.json', 'frontmatter', 'metadata', 'README', 'Quality', 'Impact', 'Uplift', 'registry-vs-local', 'auto-eval', 'markdown reference links', 'artifact anchors'. These are highly domain-specific terms that users working in this space would naturally use.

This skill occupies a very clear niche around Tessl tile creation and quality optimization. The highly specific terminology (Tessl, tile.json, Quality/Impact/Uplift scores, registry-vs-local gaps, auto-eval wait discipline) makes it extremely unlikely to conflict with other skills.

The skill is lean and efficient throughout. It assumes Claude's competence with CLI tools, YAML, JSON, and publishing workflows. No unnecessary explanations of what tiles, frontmatter, or markdown are. Every section earns its place with specific, actionable content.

Provides concrete YAML/JSON templates for required shapes, exact CLI commands in the command anchors section, specific gate criteria (3/3 on every dimension, scores at 1), and explicit decision logic (e.g., when to use --skip-evals vs eval-bearing publish). The workflow steps are specific enough to execute directly.

The 10-step workflow is clearly sequenced with explicit validation checkpoints: lint/review gates at step 7, Quality gate at step 8 before eval work, eval inspection and retry loop at step 9, and final confirmation at step 10. Feedback loops are well-defined (patch lowest dimension → rerun, fix eval miss → repeat Quality gate). Stop conditions are explicitly enumerated.

The skill provides a complete inline workflow sufficient for most cases, then cleanly references 8 detailed reference files organized by phase. References are one level deep, clearly signaled with descriptive names, and explicitly scoped ('Use only when the inline workflow is not enough'). The structure supports both quick execution and deep dives.