Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A highly actionable, well-structured skill body anchored by executable code and clear decision guidance. Its main weakness is conciseness — the sub-agent and rationale prose is longer than necessary.
Suggestions
Tighten the 'Why' and sub-agent prose: replace the 'shadow AI' rationale and fan-out/synthesis paragraphs with terse bullet rules, cutting explanatory framing Claude can infer.
Consider moving the 'Delegating to a Sub-Agent (Agent Teams)' section into a separate reference file, leaving SKILL.md as a leaner overview that links to it — this also strengthens progressive disclosure.
Trim redundant restatements of the rule (e.g. the 'Don't' list partly re-explains the opening Rule section); keep the Don'ts as a flat negative checklist without rationale repetition.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with concrete code throughout, but the prose around sub-agent teams (fan-out/synthesis discipline, the 'shadow AI' rationale) could be tightened and the ~250-line body carries explanatory framing Claude could largely infer. | 2 / 3 |
Actionability | Provides multiple copy-paste-ready, executable examples with real imports and signatures — sendToAgentChat with full options, completeText, useAgentChatGenerating, callAgent, and a full Popover pattern. | 3 / 3 |
Workflow Clarity | Decisions are clearly sequenced — a submit-vs-prefill table keyed to risk, an explicit 4-item briefing contract checklist, fan-out caps, and synthesis rules — giving unambiguous steerage across the delegation axes. | 3 / 3 |
Progressive Disclosure | Well-organized into clearly headed sections with one-level-deep cross-skill references ('See the a2a-protocol skill for the full pattern') and a Related Skills list; no nested reference chains. | 3 / 3 |
Total | 11 / 12 Passed |