Content
67%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, actionable skill body with a clear workflow and a refinement feedback loop. The main weakness is conciseness, as the rationale section explains concepts Claude already knows.
Suggestions
Trim the "Why this matters" section and the colleague-archive analogy; Claude already understands context-window economics, so the payoff can be stated in one line.
Add an explicit validation checkpoint for the returned answer (e.g., verify cited paths/symbols exist before acting on them) to strengthen the workflow.
Tighten the briefing checklist into a compact list so the actionable core scans faster.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient, but the "Why this matters" section restates the context-window value Claude already knows and the colleague-archive analogy adds padding that could be trimmed. | 3 / 5 |
Actionability | Gives concrete guidance — "Always spawn research subagents as local agents, never remote", specific model names, a briefing checklist, and a 3-part output format — with only minor gaps. | 4 / 5 |
Workflow Clarity | Clear sequenced flow (when → spawn → model → parallel → brief → signal → after) with a feedback loop ("If a report comes back bloated, send a focused follow-up"), missing only explicit validation checkpoints. | 4 / 5 |
Progressive Disclosure | A single self-contained file with well-organized section headers and no broken or nested references; slightly over the simple-skill line and lacks any progressive file structure. | 4 / 5 |
Total | 15 / 20 Passed |