Content
80%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
Highly actionable and concise content with a clear sequenced mining workflow and concrete CLI examples. The main gaps are a missing error-recovery feedback loop for failed API calls and no progressive-disclosure structure via bundle files.
Suggestions
Add an explicit validation/retry checkpoint in the workflow for failed API calls (e.g., inspect error code/response, fix params, re-call) to raise workflow clarity.
Move the two worked scenario examples into a referenced EXAMPLES.md bundle file to introduce one-level-deep progressive disclosure.
Surface the destructive-API safety rule ('confirm intent', '--dry-run') as an explicit checkpoint within Step 5 rather than only in a separate section.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and purposeful — conveys the doc-library structure and 5-step mining flow without explaining concepts Claude already knows; every section earns its place. | 3 / 3 |
Actionability | Provides copy-paste-ready WebFetch prompts with extract questions and concrete lark-cli api commands (GET/POST/PUT/DELETE) with flags and example payloads. | 3 / 3 |
Workflow Clarity | The 5-step sequence is clear with a Step 1 checkpoint and safety rules for destructive calls, but lacks an explicit error-recovery/verification feedback loop integrated into the flow. | 2 / 3 |
Progressive Disclosure | Well-organized into clear sections with signaled sibling-skill references, but no bundle files exist and everything (including the two worked examples) is inline with no progressive split. | 2 / 3 |
Total | 10 / 12 Passed |