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.
A well-structured governance/workflow skill: the planning flow is clearly sequenced with explicit validation gates, feedback loops, and stop conditions, and the guidance is largely concrete and project-specific. The main weaknesses are redundant restatement of the approval and evidence rules across sections, a generic first-principles section that could be condensed or split out, and an undefined complex-vs-lightweight task boundary.
Suggestions
Consolidate the approval-gate and evidence rules into a single authoritative statement and reference it from the other sections instead of restating them in the Planning Contract, Planning Flow, Question Rules, and Quality Bar.
Move or trim the generic First Principles Analysis section — its tables and challenge prompts are methodology Claude already knows; keep only the project-specific instruction on when to apply it.
Define the complex-vs-lightweight task distinction explicitly (e.g., criteria for when design.md and implement.md are required) since it gates step 6 of the Planning Flow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body avoids explaining concepts Claude already knows about its own tooling and is dense with project-specific rules, but the approval gate, evidence rule, and PRD-convergence requirements are each restated across three to four sections (e.g., approval appears in the Planning Contract, Planning Flow steps 8-9, Question Rules, and Quality Bar). The ~40-line generic First Principles framework ("Network latency ≥ 0", "Data must be consistent") also teaches methodology Claude already knows. It is not 2 because most tokens convey non-obvious project rules; it is not 4 because the repetition and generic framework are clearly trimmable. | 3 / 5 |
Actionability | Concrete guidance throughout: an executable `task.py create` command with flag semantics and failure behavior ("create rejects blanks"), an enumerated question structure (decision needed, why it matters, recommended answer, trade-off), explicit artifact contents, and a final-summary element list. It is not 5 because the complex-vs-lightweight task boundary that gates design.md/implement.md is never crisply defined, and there is no worked example of a good question or final planning summary. | 4 / 5 |
Workflow Clarity | The 9-step Planning Flow has an explicit sequence with validation checkpoints (requirement convergence gate, PRD convergence pass, Quality Bar checklist) and feedback loops ("After each user answer, update prd.md, recompute the decision inventory, and repeat from step 2"; "If the artifacts change materially after approval, repeat the final review"). Stop conditions are explicit ("Do not run task.py start or edit product code in the same turn"). It is not 4 because every phase transition has an explicit gate and no validation checkpoint is missing. | 5 / 5 |
Progressive Disclosure | The body is well-sectioned with clear, navigable headers and all content is procedural to this skill's execution; no bundle files exist and none are strictly required. It is not 5 because the ~40-line generic First Principles framework is not specific to this workflow and is a natural candidate for a separate reference file, making the single file longer than an overview needs to be; it is not 3 because there is no bulk reference material inlined and the structure is consistent. | 4 / 5 |
Total | 16 / 20 Passed |