Lists multiple specific concrete actions: create, scaffold, build, fix, improve, benchmark, optimize skills. Also details the full workflow including structured interview, SKILL.md + tile.json scaffolding, linting, CLI pipeline, eval run, and benchmark logging.

Clearly answers both 'what' (the full workflow from interview to benchmark logging) and 'when' (explicit trigger scenarios like creating, fixing, improving skills, running evals). Also includes a 'Do NOT use for' clause which strengthens the 'when' guidance.

Excellent coverage of natural trigger terms users would say: 'create a skill for X', 'build me a skill that does Y', 'scaffold a skill called Z', 'fixing', 'eval scores', 'description not triggering', 'tessl', plus explicit note it applies even without saying 'tessl'. Also includes negative triggers to reduce false matches.

Highly distinctive — focuses specifically on Tessl/Claude skill creation and evaluation, a clear niche. The explicit 'Do NOT use for' clause (editing application code, debugging, refactoring, general documentation, presentations) actively reduces conflict risk with other skills.

The skill is comprehensive but verbose in places — the full interview table, multiple mode paths, and extensive phase descriptions push it well beyond what's strictly necessary. Some sections (like the integrated example) earn their space, but the repeated cross-references and detailed CLI step-by-step instructions for Tessl commands could be more compact or extracted to companion files.

Highly actionable throughout: concrete CLI commands (`tessl tile lint`, `tessl scenario generate`), exact file structures (tile.json schema, criteria.json with specific constraints like scores summing to 100), specific interview questions with fallback logic, and a complete integrated example showing input-to-output. Nearly everything is copy-paste ready or directly executable.

Excellent multi-step workflow with explicit phases, clear sequencing (interview → scaffold → lint → CLI pipeline → eval → optimize → log), validation checkpoints (lint check, completeness check, gate check), feedback loops (Phase 5 → re-eval → log → warn → re-optimize), and explicit non-negotiables like #6 ensuring mutations complete before eval execution. The boundary between read and write operations is clearly articulated.

Well-structured with clear references to companion rule files (scaffold-rules.md, activation-design.md, benchmark-loop.md, eval-runner.md) that are one level deep and clearly signaled. The main SKILL.md serves as an overview with appropriate detail, deferring full implementation specifics to referenced files. Navigation is straightforward.