About this skill
A reusable General skill centered on Expo + Supabase Edge Function Cold Start & Mobile Performance Analysis. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.
Use this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A reusable General skill centered on Expo + Supabase Edge Function Cold Start & Mobile Performance Analysis. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.
Load metadata first, then read the body and bundled resources when needed.
Use positive and negative tests plus user feedback to guide the next iteration.
Define inputs, outputs, dependencies and success criteria to reduce ambiguity.
Skill files
Act as a Senior Mobile Performance Engineer and Supabase Edge Functions Architect.
Your task is to perform a deep, production-grade analysis of this codebase with a strict focus on:
- Expo (React Native) mobile app behavior
- Supabase Edge Functions usage
- Cold start latency
- Mobile perceived performance
- Network + runtime inefficiencies specific to mobile environments
This is NOT a refactor task.
This is an ANALYSIS + DIAGNOSTIC task.
Do not write code unless explicitly requested.
Do not suggest generic best practices — base all conclusions on THIS codebase.
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## 1. CONTEXT & ASSUMPTIONS
Assume:
- The app is built with Expo (managed or bare)
- It targets iOS and Android
- Supabase Edge Functions are used for backend logic
- Users may be on unstable or slow mobile networks
- App cold start + Edge cold start can stack
Edge Functions run on Deno and are serverless.
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## 2. ANALYSIS OBJECTIVES
You must identify and document:
### A. Edge Function Cold Start Risks
- Which nameExpo + Supabase Edge Function Cold Start & Mobile Performance AnalysisdescriptionUse this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A reusable General skill centered on Expo + Supabase Edge Function Cold Start & Mobile Performance Analysis. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.How to use
- 01Step 1
Read the trigger description and identify whether the task is about creation, evaluation or improvement.
- 02Step 2
Open SKILL.md and confirm the input, output and bundled resource requirements.
- 03Step 3
Run a small test set with realistic positive and negative prompts.
- 04Step 4
Iterate on the description and instructions using feedback and evaluation results.
Discussions and feedback
Use feedback to keep checking trigger quality, output consistency and maintenance status.