Conciseness

The body is command-first and lean: every annotation carries non-obvious CLI knowledge Claude would not have (positional args erroring when mixed with --json, 'guidelines is a repeated string', UPDATE_MASK semantics), with zero padding explaining known concepts. Only trivial redundancy (the destructive-delete caveat appears twice), fitting anchor 5 ('Lean and efficient; every token earns its place') better than anchor 4.

Actionability

Fully executable copy-paste-ready CLI commands with realistic JSON payloads, exact field shapes for each tool type in the table, find-by-name jq one-liners, and honest flagging of unverified tool types with a probe instruction ('Run databricks supervisor-agents create-tool --help'). Matches anchor 5 ('Fully executable; copy-paste ready code or commands; specific examples cover the common cases').

Workflow Clarity

The sequence for both workflows is present and mostly checkpointed ('Sync and check status', the CREATING→ONLINE lifecycle, endpoint readiness gated on 'databricks serving-endpoints get', destructive deletes flagged 'confirm the id first'), but the ordering is implied by command blocks rather than an explicit numbered flow, and no validate→fix→retry loop appears in the body (troubleshooting is deferred to references). This matches anchor 4 ('Clear sequence with most checkpoints present; minor validation gaps') better than 5, and the destructive-operation cautions present keep it above 3.

Progressive Disclosure

The body keeps core commands inline and splits details into two real, one-level-deep reference files, clearly signaled by a topic table ('KA source types, index, troubleshooting' / 'UC functions, MCP servers, examples'); the references point back to SKILL.md for commands rather than nesting further. Both referenced files exist and stay one level deep, matching anchor 5 ('Clear overview with well-signaled one-level-deep references; content appropriately split; easy navigation').

Specificity

Names the domain ('Agent Bricks', 'Knowledge Assistants', 'Supervisor Agents') and the function of each ('document Q&A', 'multi-agent orchestration (MAS)'), but the only explicit action is 'Create' — no further concrete operations (add knowledge sources, attach tools, add examples). This matches anchor 3 ('Names domain and 1-2 concrete actions, but not comprehensive') better than anchor 4 ('Lists several specific actions').

Completeness

The 'what' is clear (create Knowledge Assistants for document Q&A and Supervisor Agents for orchestration), but there is no 'Use when...' clause or equivalent explicit trigger guidance anywhere — the judging guideline caps this at 3. Not 4, because the 'when' is entirely absent rather than present but imprecise.

Trigger Term Quality

Includes the exact product names a Databricks user would naturally say — 'Agent Bricks', 'Knowledge Assistants (KA)', 'Supervisor Agents', 'multi-agent orchestration (MAS)' — including abbreviations. A few natural terms are missing ('Databricks', 'RAG', 'chat with documents'), matching anchor 4 ('Good keyword coverage; a few natural terms missing') rather than anchor 3, which requires missing common variations of the core terms.

Distinctiveness Conflict Risk

Distinct Databricks product names ('Agent Bricks', 'Knowledge Assistants (KA)', 'Supervisor Agents') establish a clear niche with minimal conflict risk; only the generic phrases 'document Q&A' and 'multi-agent orchestration' carry minor overlap with adjacent skills, which fits anchor 5 ('Clear niche with distinct triggers; minimal conflict risk') more than anchor 4.