Content
55%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides excellent actionability and workflow clarity with a well-structured four-phase research process, concrete examples, and proper error handling. However, it is severely over-long and monolithic — the agent prompt template, output document template, and example decomposition should be extracted into separate referenced files. The verbosity undermines token efficiency, which is especially problematic for a skill that will be loaded into context alongside conversation history.
Suggestions
Extract the agent prompt template, synthesis document template, and example decomposition into separate bundle files (e.g., AGENT-PROMPT.md, OUTPUT-TEMPLATE.md, EXAMPLES.md) and reference them from the main skill.
Compress the main SKILL.md to ~80 lines by keeping only the phase overview, key decision points, quality standards, and file references — Claude can infer standard strategic analysis structure without the full document skeleton.
Remove explanatory text that Claude already knows, such as what makes a good source, what bias awareness means, or that specificity beats generality — these are general reasoning capabilities, not skill-specific instructions.
The repeated emphasis on Thread 7 (Emerging tech) appears in the decomposition framework, the agent prompt, the synthesis template, and the example — consolidate to a single mention with a clear directive.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is extremely verbose at ~250+ lines. It over-explains agent prompt templates, decomposition frameworks, and output document structures in exhaustive detail. Much of this (like explaining what a strategic analysis document should contain, or how to attribute sources) is knowledge Claude already possesses. The repeated emphasis on Thread 7 (Emerging tech) and the full document template could be significantly compressed. | 1 / 3 |
Actionability | The skill provides highly concrete, executable guidance: specific agent prompt templates, exact file paths for saving outputs, named phases with clear deliverables, agent naming conventions, specific tool usage (WebSearch/WebFetch), and a complete output document structure with frontmatter. The example decomposition is detailed and copy-paste ready. | 3 / 3 |
Workflow Clarity | The four-phase workflow is clearly sequenced with explicit checkpoints: Phase 1 includes user confirmation before spawning agents, Phase 2 has clear parallel execution instructions, Phase 3 has a defined synthesis structure, and Phase 4 has save/deliver steps. Error handling includes retry logic and gap documentation. The feedback loop of 'state decomposition to user so they can course-correct' is a good validation checkpoint. | 3 / 3 |
Progressive Disclosure | This is a monolithic wall of text with no bundle files or external references. The full agent prompt template, the complete output document structure, the example decomposition, and the quality standards are all inline. The agent prompt template and the synthesis document template alone could each be separate referenced files, dramatically reducing the main skill's length. | 1 / 3 |
Total | 8 / 12 Passed |