🧠 Institutional Knowledge

    Teach Your AI
    Once, Use Forever.

    Skills are reusable instruction sets that you attach to any task. Define your preferences once, and every task benefits from that knowledge.

    How Skills Work

    1

    Create a Skill

    Write instructions that define how your AI should behave—tone, format, methodology, or domain knowledge.

    2

    Attach to Tasks

    Select which skills apply to each task. Combine multiple skills for nuanced behavior.

    3

    Consistent Results

    Every task run incorporates your skills automatically. No need to repeat instructions.

    Skill Examples

    Common patterns for structuring your AI's behavior.

    Brand Voice Guidelines

    Define how your AI should communicate—tone, vocabulary, and style rules that apply to all tasks.

    Example instruction:"Always use active voice. Never use jargon. Keep sentences under 20 words."

    Research Methodology

    Standard procedures for how tasks should gather and validate information.

    Example instruction:"Verify facts from at least 2 sources. Prioritize primary sources. Note publication dates."

    Formatting Standards

    Consistent output formatting across all your scheduled tasks.

    Example instruction:"Use markdown headings. Include TL;DR at top. Limit to 500 words unless specified."

    Domain Expertise

    Industry-specific knowledge and context that your AI should always consider.

    Example instruction:"Our customers are B2B SaaS. Focus on enterprise use cases. Reference industry standards."

    DRY Principle

    Don't repeat yourself. Write instructions once and reuse them across all tasks.

    Team Consistency

    Share skills across your organization. Everyone's tasks follow the same standards.

    Version Control

    Update a skill once, and all attached tasks automatically use the new version.

    Ready to build your AI's knowledge base?

    Create your first skill and watch your tasks become smarter.

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    Don't just run tasks.
    Automate intelligence.

    Join teams who understand that AI works best on a schedule, not just on demand.

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