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Digital Colleague TeamOS

AI Agent Updated 2026.08.30

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About this skill

What Problem It Solves

A single assistant often mixes different tasks in one context: weekly reports, SQL checks, architecture review, and task planning can interfere with each other. Digital Colleague TeamOS splits common office work into multiple role-based workflows and routes tasks to Code, Writing, Data, Project, and Review roles, reducing unstable output from “one prompt for everything.”

How It Works

  • Keyword routing: tasks containing code, bug, or API go to Code; write, docs, or weekly report go to Writing; analyze, table, or data go to Data; requirement, task, or schedule go to Project; review, solution, or architecture go to Review.
  • Role cards: each role has a specialty, tone, and catchphrase, making output closer to a specific job function.
  • Proactive engine: the docs describe on-call, monitoring, and collaboration modes, including periodic progress checks, status reports, deadline alerts, file-change detection with summaries, or triggering follow-up tasks after prerequisites finish.
  • Context memory: it stores the current project stack, coding habits, documentation style, and active tasks, and persists preferences, workflow templates, project context, and role evaluations across sessions.
  • Custom roles: after the user describes a real colleague’s capabilities, it extracts capability keywords, generates a role card, creates a dedicated workflow, and saves the configuration.

Notes

Routing depends on keywords, so vague task descriptions may select the wrong role. “Proactive reporting” and “change monitoring” usually need an executable environment or scheduled task support. Cross-session memory retains preferences and project context, so check configuration and sensitive-data boundaries before use.

Use Cases

  • Before a weekly report, turn project progress, risks, and next-week plans into a structured update.
  • When a service returns API errors and logs, ask the code role to localize the issue and propose debug steps.
  • With a set of metrics and tables, request SQL queries, statistics, and chart recommendations.
  • Before a design review, extract architecture risks, dependencies, and best-practice checkpoints.

Best For

  • Backend engineers who need a code role to inspect logs, localize bugs, and suggest code review points.
  • Product managers owning schedules who need a project role to track tasks, deadlines, and risks.
  • Data analysts working with Excel and SQL who need a data role for statistics, tables, and chart suggestions.
  • Operations staff writing weekly reports and proposals who need a writing role to tighten wording.