Content
73%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-structured, actionable planning skill with an explicit gated workflow and validation checklist. Its main weakness is the first-principles teaching section, which over-explains a known concept and slightly inflates the token budget.
Suggestions
Condense or remove the "Thinking Framework: First Principles Analysis" section, or move it to a reference file, since first-principles reasoning is already within Claude's competence.
Add one or two more concrete command examples (e.g., seeding design.md/implement.md or an example PRD skeleton) to lift actionability from procedural to fully copy-paste ready.
Trim redundant framing lines such as "This is mandatory" and "This is not optional cleanup" where the imperative already conveys the requirement.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The bulk is lean and actionable, but the "Thinking Framework: First Principles Analysis" section (fundamental-truths table, Bad/Good restating) spends tokens teaching a concept Claude already knows and could be tightened. | 3 / 5 |
Actionability | It provides a copy-paste `task.py create` command, concrete artifact filenames, an explicit per-question structure, and a lossless convergence procedure, though only one runnable command is shown and the rest is procedural guidance. | 4 / 5 |
Workflow Clarity | A clearly sequenced numbered Planning Flow is gated by an explicit PRD Convergence Pass (with a read-through verify loop) and a Quality Bar checklist before `task.py start`, giving feedback loops and validation checkpoints. | 5 / 5 |
Progressive Disclosure | Sections are well-organized with clear `##` headers in a single file with no bundle references, but the sizable inline first-principles teaching block could arguably be split into a separate reference. | 4 / 5 |
Total | 16 / 20 Passed |