Building Agent Team Prompts
CheckedCrafts detailed prompts to guide multiple AI agents towards collaborative task completion and optimized outcomes.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add frontboat/agent-teams --skill building-agent-team-prompts -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
frontboat
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned frontboat/agent-teams at a7561fcd37.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- a7561fcd37
- Scanned
- 1 file, 160 lines
About this skill
What it does
This skill enables you to construct and manage prompts specifically designed for multi-agent teams, allowing individual agents to collaborate effectively on complex tasks. It provides the structural foundation needed to define roles, responsibilities, and interaction protocols within an agent group.
When to use it
- You need to orchestrate a group of specialized AI agents working together on a single project.
- Your workflow requires clear communication channels and defined handoff points between different agents.
- You are building a system where one agent must delegate sub-tasks to others based on specific criteria.
Key capabilities
- Defines distinct roles and responsibilities for each member of the agent team.
- Establishes interaction protocols and communication styles between agents.
- Structures prompts to ensure cohesive collaboration rather than isolated responses.
- Helps align individual agent outputs with overarching team objectives.
Example prompts
- "Create a prompt structure for a three-agent team where one handles research, another analyzes data, and the third drafts the final report."
- "Generate instructions for an agent team to collaborate on debugging code, ensuring each member knows their specific scope of action."
- "Design a prompt that assigns roles to a marketing agent team, defining how they should share insights during a campaign launch."
Tips & gotchas
Ensure you clearly define the boundaries between agents to prevent overlapping tasks or conflicting instructions. Start with small teams of two or three agents before scaling up to avoid complexity in coordination logic.