agent-control
Manage OpenClaw isolated agents from chat with short commands. Use when the user asks to create/list/switch/bind/delete agents, route channels to a specific agent, or set an agent identity without manually typing full CLI syntax.
Best use case
agent-control is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Manage OpenClaw isolated agents from chat with short commands. Use when the user asks to create/list/switch/bind/delete agents, route channels to a specific agent, or set an agent identity without manually typing full CLI syntax.
Teams using agent-control should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/agent-control/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agent-control Compares
| Feature / Agent | agent-control | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Manage OpenClaw isolated agents from chat with short commands. Use when the user asks to create/list/switch/bind/delete agents, route channels to a specific agent, or set an agent identity without manually typing full CLI syntax.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Agent Control Translate short chat commands into OpenClaw CLI agent operations. ## Command grammar Accept these commands (case-insensitive, trim extra spaces): - `agent list` - `agent create <name> [workspace=<path>] [model=<id>]` - `agent switch <name> [channel=<channel[:accountId]>]` - `agent bind <name> <channel[:accountId]>` - `agent unbind <name> <channel[:accountId]>` - `agent delete <name>` - `agent identity <name> [display="..."] [emoji=🗡️] [avatar=<path>]` If input is ambiguous, ask one focused question. ## Execution mapping Run these exact command patterns: - List: - `openclaw agents list` - Create: - `openclaw agents add <name> --workspace <path> --model <id>` - Omit optional flags when missing. - Default workspace when omitted: `~/clawd/agents/<name>`. - Switch (route this channel/account to an agent): - `openclaw agents bind --agent <name> --bind <channel[:accountId]>` - If channel is omitted, infer from current surface when possible (e.g. `webchat`). - Bind / unbind: - `openclaw agents bind --agent <name> --bind <binding>` - `openclaw agents unbind --agent <name> --bind <binding>` - Delete: - Require explicit confirmation in the same turn for destructive action. - Then run: `openclaw agents delete <name>` - Identity: - `openclaw agents set-identity --agent <name> [--name <display>] [--emoji <emoji>] [--avatar <path>]` ## Response style After each operation, return: 1. A one-line result (success/failure) 2. The next useful command for the user Keep it brief and practical. ## Safety rules - Treat `agent delete` as destructive: confirm before running. - Never run unrelated shell commands. - If a command fails, show the error and one concrete fix. ## scripts/ Use `scripts/example.py` as a deterministic helper wrapper for command parsing/execution when needed.
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