api-pro_skill
- Python
7
GitHub Stars
2
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill yuniorglez/gemini-elite-core --skill api-pro- .refactored198 B
- SKILL.md18.4 KB
Overview
This skill is an API integration specialist focused on secure, resilient, and edge-first integrations for 2026. It provides production-ready patterns for Auth.js v5, GPT-5/generative model orchestration, Stripe SDK v13+, and context packing for large codebases. The skill emphasizes low-latency Edge execution, autonomous agent workflows, and robust error handling.
How this skill works
The skill inspects authentication flows, environment variable conventions, and edge-compatible session handling (AUTH_ prefix). It reviews model orchestration patterns for GPT-5 and o3, including reasoning token management and long-running research loops. It validates Stripe interactions, applies resilience patterns (exponential backoff, circuit breakers, bulkheads), and recommends context-packing/indexing strategies for agent consumption.
When to use it
- Implementing Auth.js v5 for Edge-compatible authentication and stateless sessions
- Orchestrating multi-model agent workflows with GPT-5 and o3 for planning and research
- Integrating Stripe v13+ with auto-pagination and strict type-safe expansions
- Hardening API clients with timeouts, retries, circuit breakers, and rate-limit handling
- Preparing large monorepos for AI agents via context packing or CODEBASE_INDEX generation
Best practices
- Prefix all auth-related environment variables with AUTH_ to enable secure automatic discovery
- Use JWT/session strategy for stateless Edge sessions and avoid heavy DB adapters in middleware
- Validate all external responses with schema validators (zod) instead of using any
- Implement exponential backoff + circuit breaker to prevent retry cascades and fail fast
- Acknowledge webhooks immediately and queue heavy work; verify signatures with Web Crypto APIs
Example use cases
- Edge middleware using Auth.js v5 serving sub-100ms cold starts with cached JWTs
- Agent orchestrator planning with GPT-5 reasoning tokens and executing research via o3
- Cleanup job iterating Stripe subscriptions using native async auto-pagination
- Resilient API client that bulkheads billing and search clients to isolate failures
- Generating a CODEBASE_INDEX.json to quickly guide AI agents through a 100k+ line repo
FAQ
AUTH_ enables framework-level discovery and consistent secret handling across Preview, Staging, and Production without manual mapping.
How do GPT-5 reasoning tokens change timeouts?
GPT-5 allocates internal reasoning work before output, so set higher maxTokens and longer timeouts for planning phases while isolating execution steps with sub-agents.