Extract domain insights, patterns, and learnings from captured sessions for long-term knowledge retention.
74
74%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
82%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
The description is structurally sound with explicit 'what' and 'when' clauses and good trigger term coverage. Its main weakness is moderate vagueness in the capability description—terms like 'domain insights' and 'captured sessions' lack concrete specificity about what outputs are produced or what kind of sessions are involved. It could also be more distinctive to avoid overlap with general retrospective or analytics skills.
Suggestions
Make capabilities more concrete by specifying outputs, e.g., 'Generates summaries of key decisions, extracted domain patterns, and knowledge gaps from captured work sessions.'
Clarify what 'captured sessions' means (e.g., pair programming sessions, meeting transcripts, work logs) to reduce ambiguity and improve distinctiveness.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | It names the domain ('domain insights from captured sessions') and some actions ('reviewing learnings, extracting patterns, analyzing decisions'), but the actions remain somewhat abstract—'analyze domain insights' and 'extracting patterns' don't describe concrete outputs or operations like a score-3 description would. | 2 / 3 |
Completeness | Clearly answers both 'what' (analyze domain insights from captured sessions) and 'when' (explicit 'Use when...' clause with trigger scenarios and a 'Triggers include' list). Both halves are present and explicit. | 3 / 3 |
Trigger Term Quality | Includes several natural trigger phrases: 'retrospect domain', 'domain analysis', 'what did I learn', 'session insights', plus terms like 'reviewing learnings' and 'extracting patterns'. These cover both formal and conversational ways a user might invoke this skill. | 3 / 3 |
Distinctiveness Conflict Risk | Terms like 'extracting patterns', 'analyzing decisions', and 'session insights' could overlap with general analytics or retrospective skills. The 'domain insights' and 'WHAT/WHY learned' framing adds some specificity, but 'captured sessions' is vague enough to potentially conflict with other session-analysis or retrospective skills. | 2 / 3 |
Total | 10 / 12 Passed |
Implementation
57%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a reasonably well-structured skill that clearly defines when and how to perform domain retrospective analysis, with good usage examples and a clear report template. Its main weaknesses are the abstract nature of the core analysis step (step 4), which lacks concrete executable guidance on how to actually extract insights from session data, and the absence of validation checkpoints in the workflow. Some sections could be tightened to improve token efficiency.
Suggestions
Add a validation checkpoint after step 2 to verify sessions were actually found (e.g., 'If no sessions returned, inform user and exit') and after step 6 to confirm the file was written successfully.
Make step 4 more actionable by providing a concrete example: show a sample session excerpt and the specific insight that would be extracted from it, demonstrating the extraction process rather than just listing abstract questions.
Tighten the 'When to Use' section into a single line or merge it with the description — the four bullet points largely restate what the skill description already conveys.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is moderately efficient but includes some unnecessary verbosity — the 'When to Use' and 'When Not to Use' sections could be tighter, the anti-patterns section has inline comments that are somewhat redundant with the WHY explanations, and the principles section explains things Claude could infer. However, it's not egregiously padded. | 2 / 3 |
Actionability | The steps include a concrete bash command for loading sessions and a clear output path, but the core analysis step (step 4) is abstract — it lists questions to consider rather than providing executable logic or concrete examples of how to extract and structure insights from session content. The report format template is helpful but the actual analysis process remains vague. | 2 / 3 |
Workflow Clarity | The 7-step workflow is clearly sequenced and covers the full process from loading to reporting. However, there are no validation checkpoints — no step verifies that sessions were actually loaded, that the domain framework was correctly applied, or that the output file was successfully written. For a skill that writes files, missing write validation is a gap. | 2 / 3 |
Progressive Disclosure | The skill is well-structured with clear sections (Arguments, Steps, Usage Examples, Report Format, Gotchas) and references a single external file (references/reference.md) for scoring rubrics and metrics. Navigation is straightforward with no deeply nested references. | 3 / 3 |
Total | 9 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
Reviewed
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