Content
35%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a reasonable structural framework for multi-agent orchestration but critically lacks actionable, executable content. The instructions read as a high-level architecture guide rather than concrete implementation guidance—there are zero code examples despite being a TypeScript/AI SDK skill. The referenced bundle files don't exist, making the progressive disclosure structure aspirational rather than functional.
Suggestions
Add concrete, executable code examples for core operations: at minimum show `ai.tool()` with Zod schema, `ai.handoff()` configuration, and a minimal two-agent workflow wiring—these are the novel API patterns Claude needs to learn.
Replace abstract instruction steps like 'Build routing logic that classifies incoming requests' with specific code snippets showing the actual AI SDK v5 API calls and patterns.
Add explicit validation checkpoints between critical steps (e.g., 'Verify each agent responds correctly in isolation before wiring handoffs; test handoff triggers with mock inputs before running full workflow').
Create the referenced bundle files (implementation.md, errors.md, examples.md) with detailed content, or inline the essential code patterns directly in SKILL.md if the bundle won't be provided.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is moderately efficient but includes unnecessary padding. The Overview section restates the description, the Prerequisites list 'familiarity with agent-based architecture patterns' which is not actionable, and the Examples section includes aspirational metrics (85% resolution rate, p95 latency) that add no instructional value. The error handling table is useful but could be tighter. | 2 / 3 |
Actionability | Despite listing 10 steps, the instructions are almost entirely abstract descriptions rather than executable guidance. There are no code examples, no concrete API calls (e.g., actual `ai.tool()` or `ai.handoff()` usage), and no copy-paste ready snippets. Phrases like 'Build routing logic that classifies incoming requests' and 'Wire agents into a workflow' describe rather than instruct. | 1 / 3 |
Workflow Clarity | The 10-step sequence provides a logical ordering and step 10 mentions testing, but validation checkpoints are weak—there's no explicit 'validate before proceeding' gate between steps. The circuit breaker mention in step 9 is good but abstract. For a multi-step orchestration workflow involving complex agent handoffs, the lack of concrete validation/feedback loops is a notable gap. | 2 / 3 |
Progressive Disclosure | The skill references three external files (implementation.md, errors.md, examples.md) which is good structure, but none of these bundle files actually exist (no bundle provided). The main SKILL.md itself is fairly long with inline content that could be better organized—the error table and detailed examples could live in the referenced files, but since those files don't exist, the references are hollow pointers. | 2 / 3 |
Total | 7 / 12 Passed |