find-agent

Resolve an agent name or description to an exact mngr agent name. Used by other skills that target agents.

226 stars

Best use case

find-agent is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Resolve an agent name or description to an exact mngr agent name. Used by other skills that target agents.

Teams using find-agent 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

$curl -o ~/.claude/skills/find-agent/SKILL.md --create-dirs "https://raw.githubusercontent.com/imbue-ai/mngr/main/.claude/skills/find-agent/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/find-agent/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How find-agent Compares

Feature / Agentfind-agentStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Resolve an agent name or description to an exact mngr agent name. Used by other skills that target agents.

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.

SKILL.md Source

The user's input is an agent name or description. Resolve it to an exact agent name.

## Normalization

The user may paste a git branch name like `mngr/some-agent` instead of the bare agent name. In that case, strip the `mngr/` prefix to get the actual agent name (e.g. `mngr/better-tabcomplete` -> `better-tabcomplete`).

## Resolution

Verify the target agent exists by running:

```
uv run mngr list --format '{name}'
```

If the extracted name doesn't match any agent exactly, check if the user's input was a description (e.g. "the agent working on X") rather than a name, and try to match against the listed agents and their git branches. If there's an unambiguous match, use it. Otherwise, use AskUserQuestion to ask the user which agent they meant, presenting the plausible candidates.

Report the resolved agent name back to the caller.

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