Dense and high-value throughout, assuming domain competence (e.g. "`iptm` > 0.5 is the community pass line", "log10(IC50 in μM) — lower is tighter (≈0 → 1 μM, −3 → 1 nM)") with no padding of concepts Claude already knows.

Provides a complete `complex.yaml` and a copy-paste `boltz predict` command with real flags, plus concrete output paths and decision thresholds — fully executable rather than pseudocode.

The happy path (YAML → predict → read confidence JSON → check thresholds) and an error table are present, but there is no explicit validate→fix→retry checkpoint sequence, which the feedback-loops note expects for a long-running batch/prediction operation.

No bundle files exist; the single self-contained SKILL.md is well-sectioned (Running it, Affinity head, accuracy-vs-memory, fast kernels, Errors) with one-level, clearly signaled cross-references, satisfying the simple-skills note.

Enumerates several concrete actions — "validate designed binders against a target", "co-fold a protein with a SMILES or CCD ligand", and "binding-affinity prediction" — matching the multiple-specific-actions anchor.

Explicitly states what ("Structure prediction for protein, nucleic-acid, and small-molecule complexes") and when ("Reach for this skill to validate designed binders... or to get an open-source AlphaFold3 alternative"), satisfying both halves with an explicit trigger clause.

Uses natural terms a structural-biology user would actually say ("validate designed binders", "co-fold", "AlphaFold3 alternative", "binding-affinity prediction"), with only minor plain-language variants absent.

Occupies a clear Boltz-2 co-folding niche with distinct triggers and is explicitly differentiated from sibling co-fold skills, making a wrong-skill trigger unlikely.