Task Router Skill
Task Router
Agent-friendly ManyChat automation CLI with playbook support for multi-step workflows.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install danielfoch/manychat-cli打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Use this skill when you need to automate ManyChat operations from OpenClaw or other AI agents.
/Users/danielfoch/manychat-cli/manychat_cli.py
MANYCHAT_API_KEY environment variable must be set.MANYCHAT_BASE_URL to override API host.Validate token:
cd /Users/danielfoch/manychat-cli
./manychat_cli.py ping --pretty
Find by email:
./manychat_cli.py find-system --field-name email --field-value 'lead@example.com' --pretty
Run a multi-step playbook:
./manychat_cli.py playbook-run \
--file /Users/danielfoch/manychat-cli/sample_playbook.json \
--vars-json '{"email":"lead@example.com"}' \
--pretty
/Users/danielfoch/manychat-cli/manychat_cli.py
/Users/danielfoch/manychat-cli/sample_playbook.json
/Users/danielfoch/manychat-cli/example_automation.sh
/Users/danielfoch/manychat-cli/README.md
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
A lightweight CLI wrapper around the ManyChat API for OpenClaw and other AI agents.
{"ok": true|false, ...})raw passthrough for any endpoint not yet wrappedplaybook-run for multi-step automations in JSON/Users/danielfoch/manychat-cli/manychat_cli.py
cd /Users/danielfoch/manychat-cli
export MANYCHAT_API_KEY='your-manychat-api-key'
./manychat_cli.py ping --pretty
Optional:
export MANYCHAT_BASE_URL='https://api.manychat.com'
./manychat_cli.py --help
Core commands:
ping -> /fb/page/getInfo
page-tags -> /fb/page/getTags
page-fields -> /fb/page/getCustomFields
page-flows -> /fb/page/getFlows
sub-info -> /fb/subscriber/getInfo
find-system -> /fb/subscriber/findBySystemField
find-custom -> /fb/subscriber/findByCustomField
tag-add / tag-remove
field-set / fields-set
flow-send -> /fb/sending/sendFlow
content-send -> /fb/sending/sendContent
sub-create / sub-update
playbook-run (multi-step automation runner)raw (generic endpoint caller)Find subscriber by email:
./manychat_cli.py find-system --field-name email --field-value 'lead@example.com' --pretty
Add tag by name:
./manychat_cli.py tag-add --subscriber-id 123456 --tag-name 'Hot Lead' --pretty
Set custom field by id:
./manychat_cli.py field-set --subscriber-id 123456 --field-id 789 --value 'Toronto' --pretty
Send flow:
./manychat_cli.py flow-send --subscriber-id 123456 --flow-ns 'main_onboarding' --pretty
Call any endpoint directly:
./manychat_cli.py raw /fb/page/getTags --data '{}' --pretty
Run playbook:
./manychat_cli.py playbook-run \
--file /Users/daniel...
# ManyChat CLI Skill
Use this skill when you need to automate ManyChat operations from OpenClaw or other AI agents.
## What this skill provides
- A local CLI wrapper at `/Users/danielfoch/manychat-cli/manychat_cli.py`
- Stable JSON output and exit codes for automation orchestration
- High-value ManyChat commands:
- subscriber lookup and profile reads
- tag add/remove
- custom field updates
- flow/content sends
- create/update subscriber
- raw endpoint passthrough
- JSON playbook execution for sequential automation steps
## Requirements
- `MANYCHAT_API_KEY` environment variable must be set.
- Optional: `MANYCHAT_BASE_URL` to override API host.
## Usage
Validate token:
```bash
cd /Users/danielfoch/manychat-cli
./manychat_cli.py ping --pretty
```
Find by email:
```bash
./manychat_cli.py find-system --field-name email --field-value 'lead@example.com' --pretty
```
Run a multi-step playbook:
```bash
./manychat_cli.py playbook-run \
--file /Users/danielfoch/manychat-cli/sample_playbook.json \
--vars-json '{"email":"lead@example.com"}' \
--pretty
```
## File references
- CLI: `/Users/danielfoch/manychat-cli/manychat_cli.py`
- Playbook example: `/Users/danielfoch/manychat-cli/sample_playbook.json`
- Shell example: `/Users/danielfoch/manychat-cli/example_automation.sh`
- Extended docs: `/Users/danielfoch/manychat-cli/README.md`# ManyChat CLI (Agent-Friendly)
A lightweight CLI wrapper around the ManyChat API for OpenClaw and other AI agents.
## Why this exists
- Consistent JSON output (`{"ok": true|false, ...}`)
- Explicit, automation-safe exit codes
- Prebuilt commands for common automation actions
- `raw` passthrough for any endpoint not yet wrapped
- `playbook-run` for multi-step automations in JSON
## File
- `/Users/danielfoch/manychat-cli/manychat_cli.py`
## Requirements
- Python 3.9+
- A ManyChat API key
## Setup
```bash
cd /Users/danielfoch/manychat-cli
export MANYCHAT_API_KEY='your-manychat-api-key'
./manychat_cli.py ping --pretty
```
Optional:
```bash
export MANYCHAT_BASE_URL='https://api.manychat.com'
```
## Commands
```bash
./manychat_cli.py --help
```
Core commands:
- `ping` -> `/fb/page/getInfo`
- `page-tags` -> `/fb/page/getTags`
- `page-fields` -> `/fb/page/getCustomFields`
- `page-flows` -> `/fb/page/getFlows`
- `sub-info` -> `/fb/subscriber/getInfo`
- `find-system` -> `/fb/subscriber/findBySystemField`
- `find-custom` -> `/fb/subscriber/findByCustomField`
- `tag-add` / `tag-remove`
- `field-set` / `fields-set`
- `flow-send` -> `/fb/sending/sendFlow`
- `content-send` -> `/fb/sending/sendContent`
- `sub-create` / `sub-update`
- `playbook-run` (multi-step automation runner)
- `raw` (generic endpoint caller)
## Examples
Find subscriber by email:
```bash
./manychat_cli.py find-system --field-name email --field-value 'lead@example.com' --pretty
```
Add tag by name:
```bash
./manychat_cli.py tag-add --subscriber-id 123456 --tag-name 'Hot Lead' --pretty
```
Set custom field by id:
```bash
./manychat_cli.py field-set --subscriber-id 123456 --field-id 789 --value 'Toronto' --pretty
```
Send flow:
```bash
./manychat_cli.py flow-send --subscriber-id 123456 --flow-ns 'main_onboarding' --pretty
```
Call any endpoint directly:
```bash
./manychat_cli.py raw /fb/page/getTags --data '{}' --pretty
```
Run playbook:
```bash
./manychat_cli.py playbook-run \
--file /Users/daniel...Task Router
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