Self Subagent
CheckedThis skill creates a mini-AI agent that acts on your behalf, automating tasks and responding to prompts within a defined scope – boosting efficiency!
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 pc-style/self-subagent --skill self-subagent -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
pc-style
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 pc-style/self-subagent at bfa8a8f059.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- bfa8a8f059
- Manifest
- skill/SKILL.md
- Scanned
- 9 files, 2,352 lines
About this skill
What it does
The pc-style-self-subagent skill enables an AI agent to create and manage its own sub-agents, each with distinct roles and capabilities. This allows for complex tasks to be broken down into smaller, more manageable pieces handled by specialized agents. The main agent can then orchestrate these sub-agents to achieve a larger goal.
When to use it
- Complex project management: Delegate different aspects of a large project (research, writing, design) to individual sub-agents.
- Multi-faceted research: Create sub-agents focused on specific areas within a broad topic for more comprehensive data gathering and analysis.
- Automated content creation workflows: Build a pipeline where one sub-agent generates outlines, another writes drafts, and a third edits the final product.
- Simulating specialized teams: Model different departments or expert groups within an organization by creating agents with specific areas of expertise.
Key capabilities
- Sub-agent creation
- Role assignment to sub-agents
- Task delegation to sub-agents
- Orchestration of multiple sub-agents
- Management of sub-agent lifecycles
Example prompts
- "Create a sub-agent named 'Researcher' with the role of gathering information on climate change."
- "Delegate the task of writing an introductory paragraph to the 'Writer' sub-agent."
- "List all active sub-agents and their current tasks."
Tips & gotchas
The agent using this skill needs a clear understanding of how to define roles and responsibilities for each sub-agent. Careful planning is required to avoid conflicts or inefficiencies in the overall workflow.