Content
47%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill has excellent workflow clarity with well-defined steps, checkpoints, validation loops, and comprehensive error handling. However, it is severely over-long and verbose — the main SKILL.md tries to be both an overview and a detailed reference manual simultaneously, resulting in a massive document that wastes context window. The duplicated situation/action tables and extensive inline detail about conversational strategies and multi-phase orchestration should be extracted into reference files.
Suggestions
Extract the detailed Checkpoint B (persona generation), Checkpoint C (competitive landscape orchestration), and Checkpoint D (assumptions/success criteria) flows into separate reference files, keeping only 2-3 line summaries in the main SKILL.md
Remove the duplicated Agent Invocation Guide table at the bottom — it largely repeats the situation/action table in Step 3 and adds ~30 lines of redundant content
Cut conversational coaching that Claude already knows (e.g., 'Acknowledge with a brief restatement to confirm understanding', 'Do not add interpretation or assumptions beyond what the user stated', 'Brief answers are acceptable if the topic is genuinely simple') to reduce token count by ~20-30%
Show one concrete example of an agent Task tool invocation with actual parameters rather than describing them abstractly — this would improve actionability significantly
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | This skill is extremely verbose at ~350+ lines of detailed instructions. It over-explains conversational strategies, includes extensive decision tables that duplicate each other (the situation/action table appears twice with overlapping content), and provides granular detail about multi-phase orchestration that could be dramatically condensed. Much of the content describes conversational nuance that Claude already understands (how to ask follow-up questions, how to acknowledge answers). | 1 / 3 |
Actionability | The skill provides concrete agent invocation patterns, specific checkpoint triggers, and template references, which is good. However, it lacks executable code/commands — the agent invocations are described abstractly ('invoke via Task tool') without showing exact tool call syntax or parameter structures. The file path references use variables but no concrete examples of the actual calls are shown. | 2 / 3 |
Workflow Clarity | The multi-step workflow is clearly sequenced (Steps 0-5) with explicit validation checkpoints (Checkpoints A-D), a readiness check with status tracking, and error recovery paths for each failure mode. The competitive landscape research has a well-defined three-phase fan-out/fan-in pattern with clear progression gates. The feedback loops (user validates/refines, iterate until satisfied) are explicit throughout. | 3 / 3 |
Progressive Disclosure | The skill references external files appropriately (discovery-questions.md, product-concept-template.md, persona-profile-template.md, competitive-landscape-template.md, step-0-fast-path.md, ensure-config.md), which is good progressive disclosure. However, the SKILL.md itself is a monolithic wall of text that inlines enormous amounts of detail that could be split into reference files — the competitive landscape orchestration, persona generation flow, and checkpoint details could each be separate references, keeping the main skill leaner. | 2 / 3 |
Total | 8 / 12 Passed |