agentleFS
Sign inStart free
nabchtnabcht/Zephyr/skills/manage-persona/SKILL.md

manage-persona

Skill2 starsChanged 6 months agoMITView on GitHub

Create, update, or refine the system prompts for the Agency roles (Supervisor, Researcher, Coder, Reviewer).

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Add context: Ensure agents are aware of new integrations like Claude-Mem.

    line 16
  2. Very specific:

    All persona files must include the {{durable_facts}} placeholder to ensure the agent maintains access to the user's long-term memory.

    line 20

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

manage-persona

This tool allows μZephyr to modify its own internal "Agency" personas. By writing to the knowledge/brain/personas/ directory, this skill changes the fundamental behavior and instructions of the Supervisor, Researcher, Coder, and Reviewer agents.

Usage

This skill is primarily used by the Supervisor or the user to:

  1. Specialise agents: e.g., "Update the Researcher to focus specifically on technical documentation."
  2. Add context: Ensure agents are aware of new integrations like Claude-Mem.
  3. Refine performance: Adjust the Reviewer's strictness or the Coder's formatting style.

Important Note

All persona files must include the {{durable_facts}} placeholder to ensure the agent maintains access to the user's long-term memory. If missing, this tool will append it automatically.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free