Content
52%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.
The skill body is well structured with a clear standard workflow, failure branches, and an excellent one-level-deep reference system with per-file read conditions. Its weaknesses are redundancy (memory and real-time-communication concepts explained repeatedly) and a descriptive rather than operational core that never specifies how teams are actually executed.
Suggestions
Consolidate the three separate shared-memory explanations (核心概念, 共享数据库记忆 section, 协作原则 #6) into one section, and move the JSON memory samples and the 20-line dialogue transcript into a reference file to cut roughly a third of the body.
State explicitly how a team is executed (e.g., whether agents are subagents spawned in parallel or personas simulated in one transcript) so the guidance is operational rather than descriptive.
Remove the inline core-role listings under 智能体分类 since they duplicate the referenced agent definition files; keep one summary line plus the link.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is noticeably verbose: the shared-database-memory concept is explained three separate times (核心概念, its own 共享数据库记忆 section, and 协作原则 #6), real-time communication is restated in nearly every section, and there is a 20-line illustrative dialogue transcript plus an extended '忙碌的AI团队公司' metaphor that adds padding. These redundant sections could be cut or merged with no loss of guidance. | 2 / 5 |
Actionability | There is concrete guidance — a 5-step 操作步骤 flow, preset team configurations with exact invocation phrases ("请用技术决策团队评估[某技术方案]"), and a copy-able dialogue format in 方式三 — but much of the document is descriptive (role taxonomies, metaphors, JSON memory samples) and the actual execution mechanism (spawn subagents vs. simulate roles) is never specified. | 3 / 5 |
Workflow Clarity | The 标准流程 gives a clearly sequenced 5-step process with sub-bullets, explicit branching for edge cases (simple task, urgent, deep discussion, agent failure with 降级方案), and concrete constraints ('3-6个智能体为宜'). Validation checkpoints are only implicit, but no destructive or batch operations are involved so the feedback-loop cap does not apply. | 4 / 5 |
Progressive Disclosure | All six referenced bundle files exist, references are exactly one level deep, and the 资源索引 signals each file with a '何时读取' condition — strong navigation. However, core-role lists are duplicated inline (body plus references/), and long examples (the dialogue transcript and JSON memory samples) that belong in references are inlined in the overview. | 4 / 5 |
Total | 13 / 20 Passed |