ari-self-improvement

name	ari-self-improvement
description	Auto-review and enhance ARI's capabilities based on new Anthropic releases, plugins, and best practices
triggers	["improve ari","update ari skills","check for new plugins","ari self review","enhance ari capabilities"]

ARI Self-Improvement System

Purpose

Continuously monitor, review, and enhance ARI's capabilities by:

1. Tracking new Anthropic releases (API, Claude Code, papers)
2. Auto-reviewing installed plugins for updates
3. Identifying gaps in ARI's skill coverage
4. Suggesting and implementing improvements aligned with ARI's architecture

When to Use

Activate this skill when:

• User asks to improve or update ARI
• Periodic self-review is needed
• New Anthropic features are released
• ARI encounters capability gaps during operations

Architecture Alignment

ARI's core invariants that self-improvement MUST respect:

1. Loopback-Only Gateway - No external network in runtime
2. Content ≠ Command - New skills cannot execute untrusted code
3. Audit Immutable - All improvements must be logged
4. Least Privilege - New capabilities require approval
5. Trust Required - External plugins need verification

Self-Improvement Workflow

Phase 1: Intelligence Gathering

1. Check Anthropic sources for updates:
   - https://www.anthropic.com/news
   - https://docs.anthropic.com/en/release-notes
   - https://github.com/anthropics/claude-code/releases
   - https://github.com/anthropics/anthropic-sdk-python/releases

2. Scan plugin marketplaces for new/updated plugins:
   - claude-plugins-official
   - trailofbits-security
   - wshobson-agents
   - claude-flow

3. Review ARI's current capabilities vs. requirements

Phase 2: Gap Analysis

Analyze against ARI's technology stack:

• TypeScript 5.3 strict mode
• Vitest testing framework
• Zod schema validation
• Fastify gateway
• EventBus architecture
• SHA-256 hash chain audit
• Six-layer architecture
• Constitutional governance

Identify:

• Missing plugin coverage
• Outdated dependencies
• New security patterns
• Performance improvements
• Testing enhancements

Phase 3: Improvement Proposal

For each improvement:

1. Assess alignment with ARI's ADRs (locked decisions)
2. Verify security - no violations of core invariants
3. Check compatibility with existing layers
4. Estimate impact on stability

Output format:

## Proposed Improvement: [Name]

**Category**: [Plugin/Skill/Architecture/Security]
**Priority**: [Critical/High/Medium/Low]
**Affected Layers**: [Kernel/System/Core/Strategic/Execution/Interfaces]

### Description
[What this improvement does]

### Alignment Check
- [ ] Respects loopback-only gateway
- [ ] Maintains content ≠ command principle
- [ ] Preserves audit immutability
- [ ] Follows least privilege
- [ ] Verified trust level

### Implementation Steps
1. [Step 1]
2. [Step 2]

### Rollback Plan
[How to revert if needed]

Phase 4: Implementation (with approval)

Only implement after user approval:

1. Create backup of current state
2. Log improvement to audit trail
3. Implement changes incrementally
4. Run full test suite
5. Verify all invariants still hold

Tools Used

• WebSearch: Find new Anthropic releases
• WebFetch: Retrieve plugin updates
• Bash: Update plugin configurations
• Read/Write: Modify skill files
• Task: Delegate complex analysis to agents

Monitoring Schedule

Recommend running self-improvement review:

• Weekly: Plugin update check
• Bi-weekly: Anthropic release review
• Monthly: Full capability gap analysis
• On-demand: When user requests or gaps encountered

Integration with ARI Governance

All improvements flow through ARI's governance:

1. Council - Votes on significant changes
2. Arbiter - Validates constitutional compliance
3. Overseer - Ensures quality gates pass

Example Interaction

User: "improve ari"

Skill:
1. Checking Anthropic releases since last review...
   - Found: Claude 3.5 Opus performance update
   - Found: New Claude Code hook system

2. Scanning plugin marketplaces...
   - trailofbits-security: 2 new skills available
   - wshobson-agents: Updated security-scanning

3. Gap analysis for ARI v2.0.0...
   - Missing: Vitest-specific testing skill
   - Missing: Zod schema validation skill
   - Outdated: typescript-lsp (new version available)

4. Proposing improvements:
   [Detailed proposals with alignment checks]

Shall I implement these improvements?

Success Criteria

• All improvements pass ARI's quality gates
• No security invariant violations
• Test coverage maintained at 80%+
• Audit trail captures all changes
• User approval obtained before implementation

Safety Guards

NEVER:

• Auto-implement without approval
• Bypass ARI's security layers
• Install unverified plugins
• Modify locked ADRs
• Skip audit logging

ALWAYS:

• Verify plugin sources
• Check compatibility first
• Propose before implementing
• Maintain rollback capability
• Log all actions