Conciseness

The body is lean and assumes Claude's competence: the pattern decision table distills trade-offs into a few earned tokens, and lines like "The planner applies this scoring deterministically — run it rather than picking by feel" instruct instead of explain. No padding or explanation of known concepts, matching anchor 5 rather than 4 (there is nothing to trim).

Actionability

Fully executable, copy-paste-ready commands with flags and outputs ("python3 agent_planner.py requirements.json --format json -o arch", "python3 tool_schema_generator.py tool_descriptions.json --validate -o tools") and inputs bootstrapped from documented sample files whose keys are enumerated. This matches anchor 5's 'specific examples cover the common cases'; anchor 4 would require gaps in the commands themselves, and there are none.

Workflow Clarity

Four clearly sequenced steps with explicit validation checkpoints and a feedback loop: "Gate: every tool must print `✓ Valid`", the verification loop requiring 0 invalid schemas and 0 critical issues, and "apply the top item in eval_recommendations.json, re-run the pilot, and re-evaluate" for error recovery, plus a drift check against expected_outputs/. This matches anchor 5 exactly; anchor 4 would lack the explicit retry loop or one of the gates.

Progressive Disclosure

Structure and signaling are excellent — one-level-deep references each with a one-line description ("references/agent_architecture_patterns.md — pattern trade-offs in depth"), samples and expected_outputs/ clearly flagged. However, none of the referenced bundle files (references/*.md, assets/sample_*.json, expected_outputs/, or the three scripts) exist in the actual bundle, so navigation as written dead-ends; this is more than the 'minor organization gaps' of anchor 5 but far better organized than anchor 3's buried/unclear references.

Specificity

The description lists multiple concrete actions covering the skill's full scope: "design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks" — comprehensive, not just several actions. It is in trigger form, not penalized first/second person, so anchor 5 fits better than 4.

Completeness

Both questions are explicitly answered: the "what" enumerates the three functions, and "Use when the user asks to…" plus three concrete example triggers gives a fully explicit "when". This matches the anchor-5 example structure, not the anchor-4 case where the "when" is present but could be more specific.

Trigger Term Quality

Natural user phrases are quoted verbatim ("design an agent architecture for research automation", "analyze these agent run logs for bottlenecks") with synonym coverage across "multi-agent system"/"agent architecture", "agent execution logs"/"agent run logs", and named patterns (supervisor/swarm/pipeline). Anchor 5 matches; 4 would require noticeably missing common terms, and none are absent for this domain.

Distinctiveness Conflict Risk

A clear niche (multi-agent system design/schema generation/log evaluation) is reinforced by explicit negative scope: "NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer)". Conflict risk with neighboring skills is actively disambiguated, which exceeds the anchor-4 'minor overlap risk' case.