Content
70%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 body is a well-sequenced, actionable implementation workflow with strong validation and feedback loops, but it inlines a sizable ignore-patterns reference table that hurts conciseness and progressive disclosure. Externalizing that table would improve both dimensions.
Suggestions
Move the per-technology and tool-specific ignore-pattern tables into a references/ignore-patterns.md file and reference it from step 4 to reduce token bloat.
Tighten the inlined pattern lists to only patterns Claude would not reliably know, or keep just the detection logic and let Claude generate standard patterns.
Make a few high-level phases (e.g. 'Core development: Implement models, services, CLI commands, endpoints') more concrete with the specific files/artifacts expected from plan.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The step list is mostly efficient, but the inlined per-language/tool ignore-pattern tables (Node, Python, Java, Rust, C++, etc.) are reference data Claude largely already knows and could be trimmed or externalized. | 3 / 5 |
Actionability | Provides concrete commands and detection logic (check-prerequisites.ps1 flags, git rev-parse, specific file reads), though some phases like 'Implement models, services, CLI commands, endpoints' stay high-level. | 4 / 5 |
Workflow Clarity | A clear 9-step sequence with explicit validation checkpoints, a user-confirmation feedback loop (step 2), error-halt handling (step 8), and checklists (step 2) for a batch/destructive implementation process. | 5 / 5 |
Progressive Disclosure | Steps are well-organized into numbered sections, but there are no bundle references and the large ignore-patterns reference table is inlined rather than split into a separate reference file. | 3 / 5 |
Total | 15 / 20 Passed |