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    Delegate AI Subtasks

    by Aman Garg

    Stop burning expensive model tokens on repetitive subtasks. This skill delegates mechanical work to cheaper models and writes handoff snapshots so you never lose context switching between sessions.

    Updated Apr 2026
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    ⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →

    Included in download

    • Spawn sub-agents to handle repetitive boilerplate and formatting tasks.
    • Switch between high-reasoning and low-cost models without losing context.
    • Includes example output and usage patterns
    • Instant install
    • One-time purchase

    See it in action

    I've delegated the creation of 12 boilerplate CSS modules to a Haiku sub-agent. Meanwhile, I've generated HANDOFF.md with our architectural decisions regarding the React context provider. You can now switch to a cheaper model; just tell it to "Read HANDOFF.md and continue."

    About This Skill

    When you give your agent a complex task, it does everything with the same expensive model. Reformatting 10 files? Opus. Generating boilerplate from a spec? Opus. Running a script and checking output? Still Opus. Meanwhile, most of those subtasks could be handled by Haiku at a fraction of the cost. Smart Router does two things. First, it automatically identifies which parts of a task are mechanical or repetitive and delegates them to a cheaper model. Creating a batch of similar files, converting formats, running validation checks, generating boilerplate. The skill writes fully self contained prompts so the subagent has everything it needs without any conversation context. Your main model focuses on the work that actually requires judgment: architecture, debugging, the final user facing deliverable. Second, it handles context handoffs when you switch models or start a new session. It writes a structured HANDOFF.md snapshot that captures not just what was done, but why. Key decisions and their rationale, rejected approaches and why they didn't work, specific next steps, and any user preferences that came up in conversation. The next model reads that file and picks up exactly where you left off without asking you to repeat yourself. You can use either feature independently or both together. On a big task, you might delegate boilerplate to Haiku, do the complex work yourself, and then write a handoff when the user wants to continue later with a different model. Works with Claude Code, Cursor, Codex CLI, VS Code Copilot, and any agent that supports the SKILL.md standard.

    📖 Learn more: Best DevOps & Deployment Skills for Claude Code →

    Use Cases

    • Spawn sub-agents to handle repetitive boilerplate and formatting tasks.
    • Switch between high-reasoning and low-cost models without losing context.
    • Generate comprehensive state snapshots for resuming work in new sessions.
    • Maintain a history of rejected architectural paths to prevent logic errors.

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    Creator

    Tampa FL based AI Entrepreneur

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