Swarm Expert
CheckedThe Swarm Expert skillfully orchestrates multiple agent actions simultaneously for complex tasks, boosting efficiency and speed.
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 desplega-ai/ai-toolbox --skill swarm-expert -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
desplega-ai
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 desplega-ai/ai-toolbox at 9748aabf72.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 9748aabf72
- Scanned
- 2 files, 207 lines
About this skill
What it does
The swarm-expert skill allows AI agents to coordinate and optimize a group of agents (a "swarm") towards a common goal. It can manage agent assignments, track progress, and dynamically adjust strategies based on real-time feedback from the swarm. This enables complex tasks requiring distributed effort and adaptability to be handled effectively by multiple agents.
When to use it
- Large-scale data analysis: Distribute data processing across several agents for faster results.
- Complex problem solving: Break down a multifaceted challenge into smaller subtasks, assigning each to an agent within the swarm.
- Automated content creation: Generate diverse content pieces by having different agents specialize in specific aspects and then coordinating their output.
- Simulations & testing: Run multiple simulations or tests concurrently using individual agents, then aggregate and analyze the results.
Key capabilities
- Agent assignment and management
- Progress tracking across swarm members
- Dynamic strategy adjustment based on feedback
- Coordination of agent actions
Example prompts
- "Create a swarm to research the latest trends in sustainable energy."
- "Assign agents to different regions for market analysis, then consolidate their findings."
- "Optimize the swarm's performance by adjusting agent priorities based on current task completion rates."
Tips & gotchas
The skill requires careful definition of roles and responsibilities for each agent within the swarm. Ensure that agents have sufficient autonomy but also clear communication channels to maintain coordination.