| name | self-improve |
| description | Apply learned improvements to the Aura Frog plugin. Updates rules, adjusts agent routing, modifies workflow configurations, and generates knowledge base entries. |
| autoInvoke | false |
| priority | 30 |
| triggers | ["/learn apply","self improve","apply improvements"] |
| user-invocable | false |
AI-consumed reference. Optimized for Claude to read during execution.
Human-readable explanation: see docs/architecture/HIERARCHICAL_PLANNING.md
or docs/getting-started/ depending on topic.
Self-Improve Skill
Apply learned improvements: update rules, adjust agent routing, modify workflow configs, generate knowledge entries.
Usage
/af learn apply
/af learn apply --auto
/af learn apply --preview
/af learn apply --id <pattern_id>
Improvement Types
types[4]{type,target,example}:
Rule updates,rules/*.md,Increase coverage threshold 80→85
Agent routing,agent-detector config,Default react-expert for .tsx
Workflow adjustments,workflow config,Increase Phase 2 timeout
Knowledge base,knowledge entries,TDD reduces bugs by 40% for APIs
Safety Guards
Approval required unless: --auto AND confidence >= 0.8 AND frequency >= 5.
Rollback: Every change creates backup + log. /af learn rollback <id> or --all.
Validation: Syntax check, conflict detection, impact assessment before applying.
Apply Process
- Fetch: Query
v_improvement_suggestions WHERE applied = FALSE
- Generate: Determine target files, create modifications, calculate impact
- Review: Present diff with confidence, frequency, evidence. User chooses: Apply / Skip / Modify
- Apply: Create backup, apply modification, mark applied in Supabase, log change
Rollback
/af learn rollback <change_id>
/af learn rollback --list
/af learn rollback --all
Configuration
learning:
self_improve:
enabled: true
auto_apply_threshold: 0.8
min_frequency: 5
backup_dir: backups/
max_auto_per_day: 10