Content
56%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 well-structured and highly actionable — every workflow has concrete executable commands, expected outputs, and time estimates — but it suffers from significant verbosity and redundancy: the purpose is stated three times, reference listings are duplicated across sections, and low-value bash examples pad the workflows. Consolidating repeated content and moving KPIs/examples to referenced files would materially improve it.
Suggestions
Collapse the Purpose section to 2-3 sentences and delete the redundant restatements of the agent's positioning.
List each referenced file exactly once — merge the Knowledge Bases tables, inline `cat` examples, and final References section into a single reference inventory with paths and use cases.
Move the Success Metrics KPIs and the three Integration Example scripts into a referenced file (e.g., an assets/success-metrics.md), keeping only a pointer and one representative example in SKILL.md.
Document `rice_prioritizer.py` (path, usage, features) alongside the other Python tools, since Workflow 3 depends on it.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~520-line body is noticeably verbose with padded, redundant sections: the Purpose section repeats the same positioning three times ("focused on research planning, persona creation, journey mapping, and usability test analysis", "ensures that user needs drive product development", "bridges the gap between raw user data and design decisions"), and workflow bash examples add little beyond echoing headers and `cat`-ing files (e.g., `echo "Journey Mapping - Onboarding Flow"`). It is above a 1 because the content is domain knowledge Claude doesn't inherently have (tool paths, workflow specifics) rather than explanations of basic concepts, but the padding and repetition are pervasive. | 2 / 5 |
Actionability | Concrete, executable commands dominate: `python ../../product-team/skills/product-manager-toolkit/scripts/customer_interview_analyzer.py interview-001.txt > insights-001.json`, copy-paste loops (`for f in interviews/*.txt; do ... done`), and template copies (`cp .../research_plan_template.md onboarding-research-plan.md`). Minor gaps keep it below 5: `rice_prioritizer.py` is invoked in Workflow 3 without any usage documentation or feature list like the other tools get, and example filenames (research-data.json, journey-opportunities.csv) appear without a note on how they are produced. | 4 / 5 |
Workflow Clarity | All four workflows (research planning, persona generation, journey mapping, usability test analysis) have clearly numbered steps with expected outputs and time estimates, and persona work includes a validation checkpoint ("Validate Personas - Ensure accuracy: Cross-reference with quantitative data... Review with customer-facing teams"). It falls short of 5 because validation checkpoints are advisory review steps rather than explicit validate-and-fix loops — e.g., Workflow 4's 'Analyze Results' has no instruction for what to do when metrics contradict or sessions fail, and there is no re-test confirmation step beyond 'Plan re-test for critical issues after fixes'. | 4 / 5 |
Progressive Disclosure | References are present and one level deep with explicit paths (e.g., `../../product-team/skills/ux-researcher-designer/references/persona-methodology.md`), but the same reference inventory is repeated three times (Knowledge Bases tables, per-step `cat` examples, and the final References section), and substantial content that belongs in separate files is inlined — the Success Metrics section (~25 lines of KPIs) and three full Integration Example scripts add bulk without navigation value. This matches 'some structure but could be better organized; content that should be separate is inline' rather than the 'minor organization gaps' of a 4. | 3 / 5 |
Total | 13 / 20 Passed |