Individual skill
persona-performance-tuning
Improve Persona integration latency and throughput with event-driven processing, bounded reconciliation, and evidence-based measurement. Use when reducing polling or queue lag. Trigger with: "speed up Persona", "reduce inquiry polling", "tune Persona webhooks".
skills/.curated/persona-performance-tuning/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Repository last updated
- Nov 12, 2026
- License
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- persona Declared skill tag
- performance Declared skill tag
- webhooks Declared skill tag
- reconciliation Declared skill tag
- engineering Derived category
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SKILL.mdcore · 4,835 bytesSKILL.mdcore · 4,835 bytesreferences/official-docs.mddoc · 3,600 bytes
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# Event-Driven Persona Inquiry Reconciliation
## Overview
Optimize the application around authentic webhook events and bounded GET reconciliation rather than parallel polling or speculative session creation. Measure customer latency, queue lag, rate headroom, and decision freshness separately.
## Prerequisites
- Latency SLO and volume by workflow
- Current traces for API calls, webhook receipt, queueing, and decisions
- Rate and quota header telemetry plus failure budget
## Instructions