inference-improve

source	framework
name	inference-improve
description	Autonomous inference improvement through collaborative agent analysis
author	StrRay Framework
version	1.0.0
schema_version	1.0
tags	["inference","improvement","autonomous","learning"]
capabilities	["analyze_inference_patterns","improve_routing","collaborative_analysis"]
dependencies	[]

Inference Improvement Skill

Purpose

Coordinates a collaborative agent workflow to improve routing inference by analyzing logs, reflections, and reports.

Trigger Phrases

• "improve inference"
• "analyze routing patterns"
• "autonomous improvement"
• "learn from logs"
• "coalesce insights"

Agent Workflow

Phase 1: Data Gathering (Researcher)

@researcher gather all recent logs, reflections, and reports
- Read logs/framework/activity.log
- Read logs/framework/routing-outcomes.json  
- Read docs/reflections/*.md
- Read logs/reports/session-*.md
- Read logs/reports/job-*.md

Phase 2: Pattern Analysis (Code-Analyzer)

@code-analyzer analyze gathered data
- Identify routing success/failure patterns
- Detect weak keyword matches
- Find confidence distribution issues
- Locate emerging patterns

Phase 3: Design Improvements (Architect)

@architect design routing improvements
- Propose new keyword mappings
- Suggest confidence adjustments
- Recommend complexity thresholds
- Design new routing patterns

Phase 4: Review & Refine (Code-Reviewer)

@code-reviewer review proposed changes
- Validate quality of proposals
- Refine suggestions
- Ensure no regressions
- Prioritize changes

Phase 5: Validate & Apply (Enforcer)

@enforcer validate and apply changes
- Codex compliance check
- Verify changes are safe
- Apply to routing-mappings.json
- Log improvements

Output

Produces actionable improvements:

1. Updated routing-mappings.json
2. New insights report
3. Confidence adjustments
4. Pattern additions/removals

Configuration

{
  "inference_improvement": {
    "enabled": true,
    "autonomous": true,
    "interval_hours": 24,
    "min_confidence": 0.7
  }
}