Content
62%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill clearly communicates a useful conceptual pattern for iterative context retrieval with good workflow structure and practical examples. However, it leans more toward describing a methodology than providing executable, tool-specific guidance—the examples are illustrative walkthroughs rather than actionable code. Some sections explain things Claude would already understand, and the content could be more concise while maintaining its clarity.
Suggestions
Replace pseudocode examples with executable implementations—e.g., actual grep/ripgrep commands, file reading tool calls, or a concrete Python/bash script that implements the dispatch-evaluate-refine loop.
Remove the 'The Problem' section's 'Standard approaches fail' bullets, which state obvious tradeoffs Claude already understands, and fold any essential framing into a single sentence.
Add concrete tool usage guidance—specify which tools (grep, find, Read, etc.) to use in each phase, with exact command patterns rather than abstract 'search for keywords' instructions.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill includes some unnecessary explanation of the problem space (the 'Standard approaches fail' section states obvious things Claude would know). The ASCII diagram adds visual clarity but the overall content could be tightened—the pattern itself is relatively simple but takes ~120 lines to convey. | 2 / 3 |
Actionability | The skill describes a conceptual pattern with pseudocode-like examples rather than executable code. The 'Integration with Agents' section provides a markdown prompt template but no actual implementation—no real search commands, no API calls, no tool usage. The examples illustrate the concept well but aren't copy-paste executable. | 2 / 3 |
Workflow Clarity | The 4-phase loop is clearly sequenced with explicit stop conditions (3+ high-relevance files, no critical gaps, max cycles reached). The two practical examples walk through the cycle-by-cycle progression with evaluation scores and refinement decisions, providing clear feedback loops. | 3 / 3 |
Progressive Disclosure | The content is reasonably well-structured with clear sections, but it's somewhat monolithic—all content is inline in a single file. The 'Related' section references external resources but the links are to external URLs and vague skill references rather than well-signaled companion files with clear purposes. | 2 / 3 |
Total | 9 / 12 Passed |