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Simulator.Company digital-twin & actor-agent specialist — talk to an agent AS an agent and delegate work to it. An agent is ANY actor whose `description` holds an "# Agent" competency profile (what it does, what it knows, whether it fits a task). The common case is a person: every workspace user has a 1:1 twin actor (`systemObjType="user"`) carrying that profile. But any actor can be an agent — a service/bot twin, a team or department, an organization, a process. This skill discovers the agent (`findAgent`), loads its profile (`getAgent`), adopts it as the persona, then either does the task, finds a better-suited agent, or hands the decision to the user (for a person: a task or a p2p message; for a non-person: propose another executor or run/trigger it as an actor). It is the actor-analog of `simulator-skills` (the `Skills`-form registry), but the registry is the workspace's agent actors. Use when the user wants to "delegate", "assign this to <someone/something>", "can <X> do this", "who/what should do this", "find someone/something to …", "ask <X>'s agent/twin", or "what has <X> worked on". Activate on: "delegate to", "assign this to", "can X do this", "who should do this", "which team/service can do this", "find someone to", "ask X's agent", "talk to X's twin", "what has X worked on", "делегуй", "постав задачу X", "доручи X", "чи впорається X", "хто це зробить", "яка команда/сервіс це зробить", "підбери виконавця", "запитай агента X", "над чим працював X", "делегируй", "поставь задачу X", "поручи X", "справится ли X", "кто это сделает", "какая команда/сервис это сделает", "подбери исполнителя", "спроси агента X", "над чем работал X". For a plain 1:1/group message use `simulator-chat`; to only create/assign a task use `simulator-tasks`; for workspace playbooks (not agents) use `simulator-skills`.
simulator-agents is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. > **Curated tool names (v2 server):** `findAgent`, `getAgent` (the agent registry — user twins > by default, any registry form via `formId`); `searchUsers`, `ge. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding simulator-agents to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install corezoid/simulator-ai-pluginReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
> **Curated tool names (v2 server):** `findAgent`, `getAgent` (the agent registry — user twins > by default, any registry form via `formId`); `searchUsers`, `getUsers`, `getSystemA