Agent skill · AI & Agents

agf-wiring-apple-llm

Use when wiring LLM features into the Apple client (macOS / iOS) — streaming chat via the FastAPI multi-LLM gateway, or on-device inference (Apple Foundation Models / Core ML). Provides the route decision (gateway vs on-device), streaming transport pattern, env/config contract, offline & cost guardrails, and minimum verifications before declaring the integration done.

pcliangx359★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add pcliangx/AppGenesisForge --skill agf-wiring-apple-llm --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Path: .claude/skills/agf-wiring-apple-llm/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 359
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Wiring LLM into the Apple client (gateway streaming / on-device) Use this skill when: - 给 `apple/` app 加对话 / 生成 / 总结类 LLM 功能 - 把某条 LLM 路径从后端网关切到 on-device(或反向) - 调试 Apple 客户端的流式输出 / token 计量 / 降级行为 ## Decision: gateway or on-device? **默认走后端网关**:FastAPI 后端已按 skill `agf-wiring-multi-llm-sdk` 封装 DeepSeek / Doubao / Qwen / MiniMax(provider 切换、fallback、cost telemetry 全在服务端)。客户端只对**一个**自有 API 说话,不直连任何

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About this skill
What does the agf-wiring-apple-llm skill do?

Use when wiring LLM features into the Apple client (macOS / iOS) — streaming chat via the FastAPI multi-LLM gateway, or on-device inference (Apple Foundation Models / Core ML). Provides the route decision (gateway vs on-device), streaming transport pattern, env/config contract, offline & cost guardrails, and minimum verifications before declaring the integration done.

How do I install it?

Run `npx skills add pcliangx/AppGenesisForge --skill agf-wiring-apple-llm --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From pcliangx/AppGenesisForge, a repository with 359 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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