codealive-ai/optimizing-claude-code
plugins/agents-reflection-skills/skills/optimizing-claude-code/SKILL.md
Audits repositories for Claude Code readiness and suggests improvements. Use when asked to check CLAUDE.md quality, review settings, audit project organization, or optimize for agentic work.
$ install --global
skillsauthnpx skillsauth add codealive-ai/agents-reflection-skills optimizing-claude-codeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 26, 2026, 3:32 PM1.4s1 file scanned
SKILL.md
- name:
- optimizing-claude-code
- description:
- Audits repositories for Claude Code readiness and suggests improvements. Use when asked to check CLAUDE.md quality, review settings, audit project organization, or optimize for agentic work.
Optimizing Claude Code
Default: Audit-only. Present findings and await approval before modifying files.
Workflow
1. Run Audit
Execute from repo root:
python scripts/audit_repo.py --root . --include-user-scope
Analyzes:
- Repository scale and directory hotspots
- CLAUDE.md files (discovery, quality, @imports)
- Settings (user/project/local scopes)
- MCP configurations
- Skills and subagents
2. Generate Report
Structure output as:
Executive Summary (5 bullets max)
- Readiness assessment
- Key strengths
- Critical gaps
- Priority actions
Repository Profile
- File count and scale (Small/Medium/Large)
- Primary language/framework
Memory Files Assessment
- Per-file metrics
- @import validation
- Content quality
- Staleness indicators
Settings & Configuration
- Permissions analysis
- MCP server inventory
- Skills/subagents discovered
Issues by Priority
- P0: Blocks agentic work
- P1: High impact
- P2: Nice-to-have
Recommendations
- Specific suggested edits
- Reference best practices
- Do NOT apply without approval
3. Apply Changes (If Requested)
When asked to implement:
- Confirm which changes
- Edit incrementally
- Show diffs
- Re-audit to verify
Large Repository Guidance
When file count exceeds 3000, include scaling recommendations:
- Vanilla context becomes unreliable at scale
- Consider context engines or retrieval layers
- Strategic CLAUDE.md placement becomes critical
- Focus on navigation aids over exhaustive documentation
Reference Files
- best-practices.md: Environment setup, CLAUDE.md structure, prompting patterns, workflows, safety
- rubric.md: CLAUDE.md scoring criteria (0-16 scale), anti-patterns, templates
- checklist.md: Step-by-step audit workflow, prioritization guide
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