Content
27%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is well-intentioned with a thorough output template and good deduplication logic, but it suffers from extreme verbosity — much of the content describes aspirational qualities (learning, adaptation, philosophy) rather than providing executable instructions. The core research methodology is underspecified despite the document's length, and the entire skill would benefit enormously from splitting the output template and reference material into separate files.
Suggestions
Extract the full output template into a separate `BRIEF-TEMPLATE.md` file and reference it from the main skill, reducing the SKILL.md to workflow steps and key rules only.
Remove the 'Performance Metrics', 'Learning and Adaptation', and 'Philosophy' sections entirely — these are aspirational descriptions, not actionable instructions for Claude.
Specify concrete tool usage for news research (e.g., which search tools/commands to use, specific WebFetch patterns) instead of abstract guidance like 'search based on interest profile'.
Add a validation checkpoint between research and file generation: explicitly verify all gathered stories meet the 7-day freshness requirement and have 2+ sources before proceeding to write the brief.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose at ~350+ lines. Includes extensive sections Claude doesn't need explained (what Tier 1/2/3 sources are, philosophy section, learning/adaptation metrics that aren't actionable instructions, lengthy opportunity/threat taxonomies). The template alone is massive with placeholder comments that could be dramatically condensed. Sections like 'Performance Metrics' and 'Learning and Adaptation' describe aspirational concepts rather than executable instructions. | 1 / 3 |
Actionability | The skill provides a concrete output template and specific file paths, which is good. However, the actual news research step is vague — it says 'search based on user's current interest profile' without specifying which tools to use or how to search (beyond a single mention of WebFetch). The pre-flight check with the `date` command is concrete, but the core research methodology lacks executable specifics. | 2 / 3 |
Workflow Clarity | The 5-step process flow is clearly sequenced (Gather Context → Research → Generate → Handle Special Cases → Confirm). The deduplication step is well-defined with matching rules. However, there are no validation checkpoints between research and generation — no step to verify freshness compliance before writing the file, no feedback loop if sources can't be found. The verification report is generated as part of the output but isn't a process checkpoint. | 2 / 3 |
Progressive Disclosure | Everything is crammed into a single monolithic file with no references to supporting documents. The massive output template (100+ lines), the detailed source tier definitions, the opportunity/threat taxonomy, and the special case templates could all be split into referenced files. The result is a wall of text that's difficult to navigate. | 1 / 3 |
Total | 6 / 12 Passed |