Knowledge Gap Review
Run this after completing a task to identify issues in information retrieval and propose candidates for improving skills/rules.
Purpose
A skill for AI-assisted development that helps verbalize project-specific tacit knowledge and continuously improve the knowledge base.
When to Use
- During self-review after completing a task
- When you felt unsure during implementation
- When you had to repeatedly refer to existing code
Review Process
Step 1: Reflection Perspectives
Review the most recent task from the following perspectives:
Items that took time to research
- Information that required three or more tool calls to find
- Implicit patterns understood by referencing multiple parts of existing code
- Areas where you had to proceed by guessing because documentation was not found
Items where decisions were difficult
- Cases with multiple possible implementation approaches
- Situations where you checked existing patterns for error codes or naming conventions
- Parts where you were not confident whether your choice was correct
Information missing from existing skills/rules
- Cases where you referenced a skill but the required information was missing
- Mistakes or rework that could have been avoided if a rule had existed
Step 2: Classify the Issues
Classify the identified issues based on the following criteria:
| Difficulty | Criteria |
|---|---|
| High | Took more than 10 minutes / required multiple files |
| Medium | Took 5–10 minutes / referenced 1–2 existing files |
| Low | Less than 5 minutes / easy to find but worth recording |
Step 3: Propose Where to Maintain Them
Propose the appropriate destination based on the nature of each issue:
| Destination | Suitable Cases |
|---|---|
.claude/skills/ |
Knowledge referenced during specific tasks (invoked by command) |
.claude/rules/ |
Rules that should always be applied (auto-loaded) |
CLAUDE.md |
Project-wide principles and architecture |
| Update existing file | Can be handled by extending an existing skill/rule |
Output Format
Output the results using the following format:
## Knowledge Gap Review Results
### Identified Issues
| Item | Difficulty | Recommended Location | Summary |
| ------------ | ------------ | ------------------------------ | ------------------- |
| (Issue name) | High/Med/Low | .claude/rules/go/repository.md | (Brief description) |
### Details
#### 1. (Issue name)
**Current Problem**:
(What made it difficult)
**Required Information**:
- (Specific information that was needed 1)
- (Specific information that was needed 2)
**Recommended Action**:
(File name and a summary of what should be added)
---
### Next Steps
- [ ] Create a GitHub issue (label: `ai-knowledge-gap`)
- [ ] Create or update skill/rule files
Example
/knowledge-gap
After execution, the AI reviews the most recent task and outputs the identified issues and proposals in the format above.
Related
- Existing skills:
.claude/skills/ - Existing rules:
.claude/rules/ - CLAUDE.md:
CLAUDE.md - GitHub label:
ai-knowledge-gap(for tracking issues)
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