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    Subagent Team Designer — Design Your Agent Team and Write the Definition Files Properly

    by PubsProToolkit

    Design the right team of specialized AI subagents for your project and get the definition files written properly — precise delegation triggers, focused system prompts, least-privilege tools, and the right model tier for each job. Includes a template, orchestration patterns, and a complete sample team.

    Updated Jul 2026
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    $14

    · or 70 credits

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    Included in download

    • Decompose bloated agents into focused, high-performance specialist teams.
    • Define precise triggers to stop agents from firing at the wrong times.
    • file_read, file_write automation included
    • Ready for Cursor
    • Instant install

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    See it in action

    You say

    Design a subagent team for a TypeScript React project where PR reviews are slow and unit tests are often skipped. We use Claude Code.

    Your agent does

    I propose a three-agent team using a Reviewer-Guardian pattern:

    | Agent | Job | Trigger | Model | | :--- | :--- | :--- | :--- | | ts-architect | Feature logic | Manual invocation for code | Sonnet | | test-generator | Jest/RTL tests | After code changes | Haiku | | pr-auditor | Lint/Style check | Before commits | Haiku |

    [Generated subagent-test-generator.md and subagent-pr-auditor.md files follow...]

    About This Skill

    Multi-agent setups fail in two predictable ways: one bloated do-everything agent whose context is a junk drawer, or a dozen fragmented micro-agents that lose the plot between handoffs. Subagent Team Designer does the design work, then writes the files. Describe your project, stack, and the workflow moments that hurt, and it proposes the right decomposition — which specialists to create, what each owns, where the boundaries go, and which orchestration pattern fits (orchestrator plus workers, pipeline, reviewer gate, or parallel fan-out). Then it writes each subagent definition properly: a delegation trigger the orchestrator can actually route on, a focused system prompt that reads like a job description, least-privilege tool access with the reasoning stated, and the model tier matched to the job. The download includes three reference files: the subagent definition template with field-by-field guidance, an orchestration-patterns guide with the anti-patterns to avoid, and a complete worked sample team (code-reviewer, test-writer, security-auditor). Works with Claude Code subagents and any harness using markdown agent definitions — and with Claude Code, Cursor, Codex CLI, Gemini CLI, and any SKILL.md agent.

    Use Cases

    • Decompose bloated agents into focused, high-performance specialist teams.
    • Define precise triggers to stop agents from firing at the wrong times.
    • Generate production-ready subagent definition files for Claude Code or Cursor.
    • Implement least-privilege tool access to improve agent security and reliability.

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    Passed automated security review

    Permissions

    Read Files
    Write Files

    File Scopes

    references/**

    This skill reads the project details, stack, and workflow notes you provide (and any files you share) and writes subagent definition files plus its own bundled reference templates. It does not run shell commands, open a browser, make network calls, or read environment variables, and it connects to no external hosts.

    Produces markdown subagent definition files. Works with Claude Code subagents and any harness that uses markdown agent definitions, and runs in any SKILL.md-compatible agent (Claude Code, Cursor, Codex CLI, Gemini CLI). No runtime, API key, or install required — you supply your project details and it writes the definitions.

    Creator

    PubsProToolkit builds rigor-first skills for AI agents — they write your docs and content properly, then adversarially review them to catch what's wrong before it ships. The result: cleaner output and a hard quality gate in one toolkit. Built by a CMPP-certified, PhD medical writer who brings regulated-industry standards to developer docs, content, compliance, and research integrity.

    Frequently Asked Questions

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