Conciseness

The body is dense and assumes competence: a theory-selection table, two executable commands, and a parameters table with no padding or explanation of known concepts. The repeated Action/Expectation/Result scaffolding around each step adds words that could be trimmed, keeping it just below the lean 5 anchor.

Actionability

Copy-paste-ready commands with realistic example problems in both formats ("python3 scripts/encode.py --problem ... --format smtlib2") plus a complete parameter table covering every flag. The referenced scripts/encode.py exists in the bundle, so the commands are genuinely executable.

Workflow Clarity

Three clearly sequenced steps with an explicit validation checkpoint (Step 3 syntax check via `z3 -in` parse-only mode), a feedback loop ("On parse error: fix the reported line and re-run"), and conditional routing of results (smtlib2 to solve; python executed directly). This matches the top anchor including error recovery.

Progressive Disclosure

Well-organized sections with the only bundle file (scripts/encode.py) clearly referenced and verified to exist; nothing that clearly belongs in a separate reference file is inlined. The body exceeds the ~50-line simple-skill threshold and offers no one-level-deep reference files for extended material (e.g., per-theory encoding patterns), so it sits at 'good structure' rather than the exemplary 5.

Specificity

"Translate constraint problems into SMT-LIB2 or Z3 Python API code" names two concrete outputs, and "scheduling, graph coloring, arithmetic puzzles, and verification conditions" enumerates specific coverage areas. Falls short of 5 because it does not mention companion capabilities (solving, proving, optimizing) that the body reveals, leaving minor coverage gaps.

Completeness

The 'what' is explicit (translate constraint problems into SMT-LIB2 or Z3 Python code), and 'when' is conveyed through the enumerated problem classes ("Handles common problem classes including scheduling, graph coloring..."). Not a 5 because there is no explicit "Use when..." clause; the trigger guidance is inferred from the class list rather than stated directly, and a strict reading of the cap guideline could place this at 3.

Trigger Term Quality

Strong natural keywords a user would say: "SMT-LIB2", "Z3", "constraint problems", "scheduling", "graph coloring", "verification conditions". Missing a few common synonyms such as "SAT", "solver", "constraint solving", or "encode" phrasing users often use, so not a 5.

Distinctiveness Conflict Risk

"SMT-LIB2", "Z3", and the named problem classes occupy a clear niche with distinct triggers; minimal overlap risk with adjacent skills (the body's references to solve/prove/optimize hint at sibling skills, but the description itself stays squarely in encoding).