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 conceptual overview of agent architecture patterns but fails to deliver actionable, executable guidance. The Sharp Edges table is incomplete with truncated solutions, and the patterns use pseudocode comments rather than real code examples. The content describes what to do rather than showing how to do it.
Suggestions
Complete the Sharp Edges table with actual code examples for each solution (e.g., show iteration limit implementation, complete tool spec example)
Replace pseudocode comments in patterns with executable code snippets showing real ReAct loop implementation
Add concrete validation checkpoints to workflows (e.g., 'Check iteration count before each action', 'Verify tool response schema')
Remove the first-person framing paragraphs and convert that space to actionable examples
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is relatively lean but includes some unnecessary framing ('I build AI systems...', 'I understand that agents fail...') and the patterns section uses pseudocode-style comments rather than executable code, adding tokens without proportional value. | 2 / 3 |
Actionability | The patterns are described abstractly with bullet points and comments rather than executable code. The Sharp Edges table references solutions but doesn't show them - entries like 'Always set limits:' are incomplete with no actual code or specific guidance. | 1 / 3 |
Workflow Clarity | The ReAct and Plan-and-Execute patterns outline sequences but lack validation checkpoints, error recovery steps, or concrete feedback loops. The mention of 'max iteration limits' is good but not shown concretely. | 2 / 3 |
Progressive Disclosure | The skill has reasonable section organization and references related skills, but lacks links to detailed documentation. The Sharp Edges table is incomplete (solutions cut off), and there are no references to deeper materials for complex topics like multi-agent orchestration. | 2 / 3 |
Total | 7 / 12 Passed |