XSIJIE975/skills
My collection of AI agent skills: API code generation, OpenAPI parsing, and req-to-code workflow
My collection of AI agent skills: API code generation, OpenAPI parsing, and req-to-code workflow
npx skills add XSIJIE975/skillsMy collection of AI agent skills: API code generation, OpenAPI parsing, and req-to-code workflow
Production-ready development workflows for Claude Code, powered by specialized AI agents.
Guide for background coding agents running inside Replicas cloud workspaces
WeChat-to-Codex bridge for running Codex app-server from chat, with threads, slash commands, approvals, agents, automation, uploads, and assistant records.
Build conversational AI voice agents on the ElevenLabs platform. Configure agent + tools + knowledge base, integrate SDK (React / React Native / Swift / JS / server-side), test, deploy. Use whenever the user mentions ElevenLabs, building a voice agent, an AI phone system, an AI receptionist, conversational AI, or troubleshooting deprecated @11labs packages, webhook errors, CSP violations, localhost allowlist, or tool parsing errors.
Deploy, evaluate, fine-tune, and manage Foundry agents end-to-end with azd: hosted agent scaffold/run/deploy, prompt agent create, batch eval, continuous eval, prompt optimizer, Agent Optimizer scaffold, agent.yaml, dataset curation from traces, model fine-tuning (SFT/DPO/RFT). USE FOR: azd ai agent, azd provision/deploy, deploy agent, hosted agent, create agent, add tool to agent, invoke agent, evaluate agent, continuous eval, continuous monitoring, optimize prompt, improve prompt, optimize agent instructions, agent optimizer, deploy model, Foundry project, RBAC, role assignment, permissions, quota, capacity, region, troubleshoot agent, deployment failure, AI Services, create Foundry resource, provision, knowledge index, customize deployment, onboard, availability, fine-tune, SFT, DPO, RFT, training-data, grader, distillation, fine-tuned model, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).
Personal travel-booking agent. Onboard a traveler once (who you are, companions, loyalty programs, credit cards, travel preferences), then chat about where you want to go and get a few preference-ranked flight options, fully book and pay for them, and follow up after the trip to learn how you like to travel. Also searches and price-tracks flights via Google Flights. Runs as an MCP server (Python 3.10+, fli + mcp). Profiles live server-side in the private flightclaw-api Worker (D1).