Codex Skills - Specialized Category

One-Liner

Specialized Codex Skills is a toolset for specific domains — solving domain-specific problems through specialized skills like code cleanup, data pipelines, memory management, CLI tools, and issue discovery.

Skills List

Skill	Function	Trigger
clean	Intelligent code cleanup	/clean <target>
csv-wave-pipeline	CSV wave processing pipeline	/csv-wave-pipeline <csv-file>
memory-compact	Memory compression	/memory-compact
ccw-cli-tools	CLI tool execution specification	/ccw-cli-tools <command>
issue-discover	Issue discovery	/issue-discover <context>

Skills Details

clean

One-Liner: Intelligent code cleanup — automated code cleanup, formatting, dead code removal

Features:

• Automated code cleanup
• Code formatting
• Dead code removal
• Import sorting
• Comment organization

Cleanup Types:

Type	Description
Format	Unify code format
Dead Code	Remove unused code
Imports	Sort and remove unused imports
Comments	Organize and remove outdated comments
Naming	Unify naming conventions

Usage Examples:

# Clean current directory
/clean .

# Clean specific directory
/clean src/

# Format only
/clean --format-only src/

# Remove dead code only
/clean --dead-code-only src/

---

csv-wave-pipeline

One-Liner: CSV wave processing pipeline — CSV data processing, wave processing, data conversion and export

Features:

• CSV data reading and parsing
• Wave processing (batch processing for large data)
• Data conversion and validation
• Export to multiple formats

Processing Flow:

Read CSV → Validate Data → Wave Processing → Convert Data → Export Results

Output Formats:

Format	Description
CSV	Standard CSV format
JSON	JSON array
NDJSON	NDJSON (one JSON per line)
Excel	Excel file

Usage Examples:

# Process CSV
/csv-wave-pipeline data.csv

# Specify output format
/csv-wave-pipeline data.csv --output-format=json

# Specify wave batch size
/csv-wave-pipeline data.csv --batch-size=1000

---

memory-compact

One-Liner: Memory compression (Codex version) — Memory compression and merging, cleanup redundant data, optimize storage

Features:

• Memory compression and merging
• Clean redundant data
• Optimize storage
• Generate Memory summary

Compression Types:

Type	Description
Merge	Merge similar entries
Deduplicate	Remove duplicate entries
Archive	Archive old entries
Summary	Generate summary

Usage Examples:

# Compress Memory
/memory-compact

# Merge similar entries
/memory-compact --merge

# Generate summary
/memory-compact --summary

---

ccw-cli-tools

One-Liner: CLI tool execution specification — standardized CLI tool execution, parameter specification, unified output format

Features:

• Standardized CLI tool execution
• Parameter specification
• Unified output format
• Error handling

Supported CLI Tools:

Tool	Description
gemini	Gemini CLI
codex	Codex CLI
claude	Claude CLI
qwen	Qwen CLI

Execution Specification:

{
  "tool": "gemini",
  "mode": "write",
  "prompt": "...",
  "context": "...",
  "output": "..."
}

Usage Examples:

# Execute CLI tool
/ccw-cli-tools --tool=gemini --mode=write "Implement feature"

# Batch execution
/ccw-cli-tools --batch tasks.json

---

issue-discover

One-Liner: Issue discovery — discover issues from context, issue classification, priority assessment

Features:

• Discover issues from context
• Issue classification
• Priority assessment
• Generate issue reports

Issue Types:

Type	Description
Bug	Defect or error
Feature	New feature request
Improvement	Improvement suggestion
Task	Task
Documentation	Documentation issue

Priority Assessment:

Priority	Criteria
Critical	Blocking issue
High	Important issue
Medium	Normal issue
Low	Low priority

Usage Examples:

# Discover issues from codebase
/issue-discover src/

# Discover issues from documentation
/issue-discover docs/

# Discover issues from test results
/issue-discover test-results/

Related Commands

• Codex Skills - Lifecycle
• Codex Skills - Workflow
• Claude Skills - Meta

Best Practices

1. Code cleanup: Regularly use clean to clean up code
2. Data processing: Use csv-wave-pipeline for processing large data
3. Memory management: Regularly use memory-compact to optimize Memory
4. CLI tools: Use ccw-cli-tools for standardized CLI execution
5. Issue discovery: Use issue-discover to discover and classify issues

Usage Examples

# Clean code
/clean src/

# Process CSV
/csv-wave-pipeline data.csv --output-format=json

# Compress Memory
/memory-compact --merge

# Execute CLI tool
/ccw-cli-tools --tool=gemini "Analyze code"

# Discover issues
/issue-discover src/