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.

Existing skills: .claude/skills/
Existing rules: .claude/rules/
CLAUDE.md: CLAUDE.md
GitHub label: ai-knowledge-gap (for tracking issues)

knowledge-gap