Lists multiple specific concrete actions: create, scaffold, build, fix, improve, benchmark, optimize skills. Also details the full workflow steps 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 guidance with example phrases like 'create a skill for X', plus a 'Do NOT use for' exclusion list). The 'Use this skill any time...' clause serves as an explicit trigger section.

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 mention that it applies even without saying 'tessl'. Covers many natural phrasings.

Highly distinctive with a clear niche around Tessl/Claude skill creation. 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 at ~400+ lines. Some sections (like the full interview table, detailed CLI pipeline steps, and the integrated example) earn their place, but there's redundancy — non-negotiable #6 is restated multiple times, and some explanations could be tightened. The anti-patterns section partially duplicates non-negotiables.

Highly actionable throughout: specific CLI commands (`tessl tile lint`, `tessl scenario generate`), concrete file structures (tile.json schema, criteria.json with exact format), exact interview questions with fallback logic, and a complete integrated example showing input-to-output. Code snippets are copy-paste ready.

Excellent multi-step workflow with clear phase sequencing (Interview → Scaffold → Lint → CLI pipeline → Eval → Optimize → Benchmark). Validation checkpoints are explicit (lint check after scaffold, completeness check after interview, gate check after eval). Feedback loops are well-defined (Phase 5.3 apply → re-eval → log → flag regressions). Non-negotiable #6 establishes a clear read-only boundary during eval execution.

References to companion rule files (scaffold-rules.md, activation-design.md, benchmark-loop.md, eval-runner.md) are well-signaled and one-level deep, which is good. However, no bundle files were provided, so we cannot verify these references resolve. The main SKILL.md itself is quite long and some content (like the full Phase 3 scenario schema or Phase 4 fallback details) could arguably live in the referenced rule files rather than being duplicated/summarized inline.