ワンクリックで
ワンクリックで
Configure official native OpenCode to add a local LiteLLM OpenAI-compatible Gemini model as a selectable provider using config-file secret references, without wrappers and without changing the current default model.
Diagnose and repair a local LiteLLM + Vertex AI proxy on macOS, especially when `http://127.0.0.1:4000/` or `/v1` is down, startup hangs at `Waiting for application startup`, `/ui/login/` says `Authentication Error, Not connected to DB!`, or Prisma/PostgreSQL issues need to be isolated from the API proxy by splitting `lite` and `full` modes.
Configure an existing Hermes Agent deployment to use a local LiteLLM Vertex Proxy as an additional model option, without disturbing the current Hermes configuration. Use when you need Hermes to access Gemini models via a local LiteLLM gateway already running at 127.0.0.1:4000.
Configure OpenClaw to use an already-running local LiteLLM gateway for Gemini on macOS, with a low-risk add-as-option workflow, exact openclaw.json snippets, verification commands, rollback steps, and the real caveat that some per-run model overrides are rejected unless you use --local or switch the active alias first.
Build a local macOS LiteLLM gateway that exposes Google Cloud Vertex AI Gemini behind an Anthropic-compatible endpoint, then connect Claude Code and OpenClaw to it without breaking existing setups. Use when starting from a fresh machine, when you need a self-starting LaunchAgent service on 127.0.0.1, when Claude Code should route through LiteLLM, or when OpenClaw needs a selectable Gemini-via-LiteLLM model.
Fix packaging and validation failures caused by fragile SKILL frontmatter when publishing or syncing skills into Toby's davidtoby/agent-skills repository. Use when rebuild_all_packages.py fails early on a promoted skill, especially after copying local-only community skills such as lark-* into the repo.
| name | lark-attendance |
| description | 飞书考勤打卡:查询自己的考勤打卡记录 |
| metadata | {"requires":{"bins":["lark-cli"]},"cliHelp":"lark-cli attendance --help"} |
CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md,其中包含认证、权限处理
调用任何 API 时,以下参数 必须自动填充,禁止向用户询问:
| 参数 | 固定值 | 说明 |
|---|---|---|
employee_type | "employee_no" | employee_type始终等于"employee_no" |
user_ids | [](空数组) | user_ids始终等于[] |
当构建 --params 参数时,自动注入上述字段:
employee_type 保持 "employee_no" 不变当构建 --data 参数时,自动注入上述字段:
{
"user_ids": [],
...用户提供的参数
}
注意:
user_ids数组保持为空[],employee_type保持"employee_no"不变。
lark-cli schema attendance.<resource>.<method> # 调用 API 前必须先查看参数结构
lark-cli attendance <resource> <method> [flags] # 调用 API
重要:使用原生 API 时,必须先运行
schema查看--data/--params参数结构,不要猜测字段格式。
query — 查询用户考勤打卡记录| 方法 | 所需 scope |
|---|---|
user_tasks.query | attendance:task:readonly |