feishu-agent-add

---

name: feishu-agent-add

description: Use this skill when users want to add a Feishu agent for OpenClaw, especially when they say things like “帮我增加一个名字叫xxx，用来做xxx的飞书agent”, want a guided prompt flow, or want a one-command way to generate the matching OpenClaw config.

license: MIT

---

# feishu-agent-add

This skill is the conversational front end for the local script `scripts/add_feishu_agent.py`.

This project is designed for OpenClaw users, but the skill name intentionally stays short: `feishu-agent-add`.

When To Use

Use this skill when the user wants to:

Core Rule

Do not hand-edit `openclaw.json` unless the user explicitly asks for manual fallback.

Prefer running:

python3 scripts/add_feishu_agent.py ...

The script is the execution core. This skill should mainly:

1. understand the user's request

2. ask only for missing required fields

3. preview the plan

4. run the script

5. summarize the result and next steps

Required Inputs

Collect these fields before execution:

- if missing, propose one derived from the name

These can use defaults unless the user says otherwise:

- default: `~/.openclaw/workspace-{agent_id}`

- default: inherit from the current OpenClaw config

- default: `true`

- default: `auto`

- default: `true`

Conversational Flow

1. Parse what the user already gave

For a request like:

> 帮我增加一个名字叫小红书运营，用来做内容选题和文案生成的飞书agent

extract:

If `agent_id` is missing, propose one instead of asking an open-ended question.

2. Ask the minimum follow-up questions

Only ask for the missing required fields. Prefer one compact message.

Typical follow-up:

Only ask about optional fields if the user indicates they care.

3. Preview before execution

Before running the script, summarize:

4. Run the script

Run from the skill directory:

python3 scripts/add_feishu_agent.py \
  --agent-id <agent-id> \
  --agent-name "<agent-name>" \
  --purpose "<purpose>" \
  --app-id <app-id> \
  --app-secret <app-secret> \
  --json-output \
  --yes

Add optional flags only when needed:

Advanced User Mode

If the user prefers a single terminal command, give them a ready-to-run example instead of a manual JSON recipe.

Use this pattern:

python3 scripts/add_feishu_agent.py \
  --agent-id trader \
  --agent-name "交易小助手" \
  --purpose "股票和 ETF 分析" \
  --app-id cli_xxx \
  --app-secret secret_xxx \
  --yes

Output Expectations

After execution, summarize:

If the script fails, report the concrete reason and do not improvise partial manual edits unless the user asks for that fallback.

Notes