inference-improve

Name: inference-improve
Availability: InStock
Author: Postalocity

Analyze logs and reports to improve routing inference mappings.

1|Updated Mar 5, 2026

Search Tags:#automation #logs #routing #optimization #inference #collaborative-analysis

Ready to run

npx skills add https://github.com/Postalocity/template-microsite --skill inference-improve

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: inference-improve
Source: https://github.com/Postalocity/template-microsite/tree/main/.opencode/skills/inference-improve
Command: npx skills add https://github.com/Postalocity/template-microsite --skill inference-improve

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Autonomous refinement of routing inferences by analyzing diverse agent outputs and logs to reduce errors and improve decision quality.

Core Features & Use Cases

Collaborative analysis across researchers, code-analyzers, architects, reviewers, and enforcers to iteratively enhance routing inferences.
Automated identification of inference gaps, confidence distribution issues, and weak keyword mappings across logs and reports.
Use Case: When routing decisions misfire on edge cases, run this skill to gather data, propose adjustments, and apply changes to routing-mappings.json with risk checks.

Quick Start

Start the autonomous workflow to gather data, analyze patterns, design improvements, and apply changes to routing-mappings.json.

Frequently Asked Questions about inference-improve

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate routing inference refinement across multiple agents?▼

Automate routing inference refinement by configuring an autonomous workflow that analyzes agent logs and reports to produce actionable routing improvements. The workflow iterates through data gathering, pattern analysis, design, review, and enforcement phases to enhance decision quality.

What causes routing decisions to misfire on edge cases and how can I fix them?▼

Routing decisions misfire due to inference gaps, weak keyword mappings, and confidence distribution issues found in logs. Fix them by running an autonomous analysis workflow that identifies these gaps and applies risk-checked adjustments to routing-mappings.json.

How do I identify weak keyword mappings and inference gaps in my routing logs?▼

Identify weak keyword mappings and inference gaps by applying automated pattern analysis to your logs, reflections, and reports. The skill enforces roles like Researcher and Code-Analyzer to surface confidence distribution issues across routing data.

Do I need a Codex-compliant mechanism to apply routing inference changes?▼

Yes, a Codex-compliant change application mechanism is required to enforce routing inference updates. The Enforcer role uses this mechanism to safely apply risk-checked modifications to routing-mappings.json.

What configuration is needed to start autonomous routing optimization?▼

Autonomous routing optimization requires a workflow configuration with enabled set to true, a defined interval_hours schedule, and a min_confidence threshold. This configuration drives the automated phases from data gathering through enforcement.

Can collaborative analysis improve routing inference without manual intervention?▼

Collaborative analysis improves routing inference autonomously by assigning roles such as Architect, Code-Reviewer, and Enforcer. These roles iteratively analyze patterns and apply changes to routing-mappings.json without manual intervention.