Content
48%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 core script-usage content is accurate, executable, and well-organized, with clean workflows and a properly structured bundle. However, the body is heavily padded with generic PM textbook knowledge and a long cross-skill integration section, roughly doubling its token footprint without adding skill-specific value.
Suggestions
Move the generic knowledge sections (Prioritization Frameworks, Discovery Frameworks, Metrics & Analytics, Best Practices, Common Pitfalls, Integration Points) into a references/ file, keeping SKILL.md as a lean overview of the three workflows and script commands.
Remove or drastically compress the ~250-line '与智能体协作框架集成' section — it duplicates content, references paths in other skills' bundles (agent-team/references/agent-registry.md, multi-agent-meeting/assets/...) that are not part of this skill, and contains fictional self.call_tool() snippets.
Turn soft checkpoints into explicit validation steps in the workflows (e.g., after running the RICE script, verify the CSV columns match name,reach,impact,confidence,effort before trusting the scores).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~600-line body contains several padded sections explaining PM concepts Claude already knows: full derivations of the RICE formula, Value vs Effort matrix, MoSCoW, North Star Metric framework, AARRR funnel analysis, stakeholder management tips, common pitfalls, and tool name lists (Amplitude, Jira, Figma, etc.), plus a ~250-line Chinese section on integrating with an 'agent-team' skill. This matches 'noticeably verbose; several unnecessary explanations or padded sections'. It is not a 1 because the Quick Start and Key Scripts sections do add genuinely useful, non-obvious content. | 2 / 5 |
Actionability | Quick Start and Key Scripts provide concrete, verified commands (e.g., 'python scripts/rice_prioritizer.py features.csv --capacity 15 --output json') whose flags match the actual argparse interfaces, and the PRD workflow points to a real templates file. However, the majority of the document by volume — frameworks, best practices, and the agent-integration section — is abstract 'guidance rather than instruction', so it sits between 'some concrete guidance but incomplete' and 'mostly executable guidance'. | 3 / 5 |
Workflow Clarity | The three core workflows (prioritization, customer discovery, PRD development) are clearly sequenced with numbered steps and embedded executable commands, and checkpoints are present ('Review with stakeholders', 'Validate against strategy', 'Measure actual vs expected behavior'). Not a 5 because these checkpoints are soft advice rather than explicit validation steps with feedback loops. | 4 / 5 |
Progressive Disclosure | Structure is good: the bundle's real assets — scripts/rice_prioritizer.py, scripts/customer_interview_analyzer.py, and references/prd_templates.md (which does contain the four advertised templates) — are clearly signaled from the body. But large amounts of content that clearly belongs in reference files (framework explanations, metrics frameworks, best practices, and the entire ~250-line agent-integration playbook referencing other skills' paths like 'agent-team/references/agent-registry.md' that are not part of this bundle) are inlined in SKILL.md. | 3 / 5 |
Total | 12 / 20 Passed |