delegate-team

Complete agentic engineering supersystem — one command orchestrates the entire engineering chain. Use when the user asks for "the full arsenal", "use everything you have", "/Apeiron", "/delegate-team", "delegate to a backend", "spawn a multi-agent team", "make a CLI to scaffold skills", or any natural-language request that should drive a Claude Code or Codex session through the full brainstorm → plan → execute → verify → ship pipeline. Composes four companion frameworks (superpowers, Waza, unslop-preflight, autoresearch) plus the original `dt` gateway CLI, multi-agent team (MMAS) framework, skill scaffolder, the /Apeiron orchestrator (47-case selftest routing), and the v2.7.0 arsenal: autopilot.sh (7-stage GOD command), apeiron-uni (smart universal wrapper that detects the calling runtime), and 1890 auto-discovered skills across 3 sources.

Local-first governance kernel for AI coding agents — gives Claude Code, Codex, Cursor, Antigravity, and Gemini CLI a shared memory, an approval inbox for new rules, generated AGENTS.md / CLAUDE.md / cursor-rule.mdc, Claude + git hooks, and a deterministic policy guard. Adds a JSON-first memory layer (rules + preferences + workflows + project-notes + skills), an episodic memory archive, and MCP tools for search/read/capture/sync of past sessions. Use when the user asks to "remember this rule", "save this as a memory", "what did we do last time", "search past episodes", "propose a new rule", "make agent follow our standards automatically", or any request to give an agent persistent local memory across sessions. Bundled inside delegate-team v2.5.0 — installed via `./install.sh --kernel`. Triggers on: "agent kernel", "ak", "remember this", "save this rule", "memory tool", "episodic memory", "approval inbox", "guard policy", "rule inbox".

Route heavy coding tasks to premium multi-model backends (Codex GPT-5.5/5.4 high, GLM-5.2 max, Qwen 3.7 max, Kimi K2.7 code-max, MiniMax M3 high-thinking). Mirrors vertex-coder's structure but shells out to local CLI binaries (codex, opencode) instead of Vertex AI. Two modes: direct (single-file) and interactive (multi-file autonomous with tool use). Use when delegating heavy code generation, debugging, or refactoring tasks to the strongest available model. Triggers on: "delegate to aonios agent", "use the strongest model", "premium model coding", "opencode glm", "codex gpt-5 high", "minimax m3 thinking", "aonios agent direct", "aonios agent interactive". Do NOT use for trivial edits (do them locally) or when the user explicitly forbids external delegation.

The ONE-COMMAND orchestrator that wires the full delegate-team arsenal for any task in any project. Use when the user says "use everything you got", "use full engineering arsenal", "go all-in", "/Apeiron <task>", "/ship <task>", "use all capabilities", "full stack", "end to end", "everything intelligently". Composes 38 curated integrations (superpowers, Waza, unslop, autoresearch, agent-kernel, ...) and routes tasks through 7-stage autopilot chain (PREWARM → BRAINSTORM → PLAN → EXECUTE → REVIEW → QUALITY-GUARD → REPORT). Auto-discovers 1890+ skills across 3 sources (apeiron, agents, claude) with intelligent dedupe. Includes apeiron-uni — the smart universal wrapper that detects the calling runtime (Apeiron / codex / claude / gemini / opencode / mmx / shell) and dispatches the right flow. Skip this skill only when the user wants a SPECIFIC tool (e.g. "run /autoresearch with metric X" or "delegate to aonios-agent").

Local MiniMax-powered coding agent. Uses the official `mmx` CLI (https://github.com/MiniMax-AI/cli) to call MiniMax models (M3 flagship, M2.7, M2.7-highspeed) for direct single-file edits and multi-file autonomous work with full tool use. Sibling backend to vertex-coder inside delegate-team; mirrors its structure (direct + interactive + tools registry) but routes through mmx instead of an SDK. The Python scripts in this directory are local-agent helpers — Apeiron (M3) can also invoke `mmx text chat` directly via bash for fast ad-hoc calls. Three MiniMax models supported. Use when delegating coding work to MiniMax models. Triggers on: "use minimax coder", "MiniMax M3", "MiniMax M2.7", "minimax direct", "minimax interactive", "mmx text chat". Do NOT use for trivial edits (do them locally).

Apeiron Multi-Agent System (MMAS) — spawn a team of specialized AI agents under your direct command. Each agent has a specific power + model (Atlas orchestrator, Forge deep worker, Scout searcher, Oracle debugger, Librarian docs-finder, Reviewer validator, Visionary media-analyzer, Sentinel security-auditor). A watchdog polls every 30s and reports status back to you. Inspired by oh-my-openagent's specialized agent team + hermes-agent's self-improving learning loop. Use when you want parallel agents working on a complex task while you stay the boss. Triggers on: "spawn team", "multi-agent", "MMAS", "parallel agents", "team of agents", "boss mode", "watchdog", "/apeiron-team". Do NOT use for single-file edits (do them locally).

The ONE-COMMAND orchestrator that wires the full delegate-team arsenal for any task in any project. Use when the user says "use everything you got", "use full engineering arsenal", "go all-in", "/Apeiron <task>", "/ship <task>", "use all capabilities", "full stack", "end to end", "everything intelligently". Composes: Waza /think → unslop audit → superpowers writing-plans → autoresearch | /delegate-team | /apeiron-team (routed by task signature) → Waza /check → quality-guard. Skip this skill only when the user wants a SPECIFIC tool (e.g. "run /autoresearch with metric X" or "delegate to aonios-agent").

Scaffold a new Apeiron skill with proper frontmatter, section structure, and optional companion artifacts (PreToolUse hook, slash command, bash test stub). Use when creating a new skill, bootstrapping a capability for the Apeiron agent arsenal, or standardizing an existing skill's structure. Triggers on: "create a new skill", "scaffold a skill", "add a Apeiron skill", "standardize this skill", "skill-scaffold", "apeiron-skill-scaffold". Backed by the `apeiron-skill-scaffold` bash script at `~/.apeiron/bin/apeiron-skill-scaffold`. Do NOT use for editing existing skills (use `skill-refiner`) or for creating agents (use `create-agent`).

First-class delegation skills for the delegate-team supersystem. Each skill lets an orchestrating agent hand a bounded coding task to a CLI implementer agent (Grok, Codex, OpenCode, Kimi, AGY), then review the diff and land it itself. Use when the user says "delegate this to Grok", "have Codex do X", "run it through opencode", or any phrasing that should drive a background implementer while the orchestrator stays the reviewer. Composes with `dt delegate` (the CLI entry point) and the /apeiron router.

Delegate a coding task to the Google Antigravity CLI (`agy`) as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Antigravity or agy - phrasings like "have Antigravity do X", "delegate this to agy", "run it through agy", or "use Antigravity to implement/fix/refactor" - or wants to run a queue of coding tasks through agy while staying the reviewer. DO NOT USE for tasks small enough to do inline, or when the user wants the code written directly without delegating.

Delegate a coding task to the OpenAI Codex CLI as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Codex — phrasings like "have Codex do X", "delegate this to Codex", "run it through Codex", or "use Codex to implement/fix/refactor" — or to run a queue of coding tasks through Codex while staying the reviewer. Prefer it over a one-shot Codex forwarder (such as the codex-rescue agent) when the user will review the diff and commit it themselves. DO NOT USE for tasks small enough to do inline, or when the user wants the code written directly without delegating.

Delegate a coding task to the Grok Build CLI as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Grok — phrasings like "have Grok do X", "delegate this to Grok", "run it through Grok", "use Grok Build to implement/fix/refactor", or "have grok CLI do this" — or to run a queue of coding tasks through Grok while staying the reviewer. Prefer it when the user will review the diff and commit it themselves. DO NOT USE for tasks small enough to do inline, or when the user wants the code written directly without delegating.

Delegate a coding task to the Kimi Code CLI (`kimi`) as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Kimi - phrasings like "have Kimi implement X", "delegate this to Kimi", "run it through Kimi Code", or "use Kimi to implement/fix/refactor" - or wants to run a queue of coding tasks through Kimi while staying the reviewer. DO NOT USE for tasks small enough to do inline, or when the user wants the code written directly without delegating.

Delegate a coding task to the OpenCode CLI as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to OpenCode — phrasings like "have OpenCode do X", "delegate this to OpenCode", "run it through OpenCode", or "use OpenCode to implement/fix/refactor" — or wants to run a queue of coding tasks through OpenCode while staying the reviewer. Prefer it when the user will review the diff and commit it themselves. DO NOT USE for tasks small enough to do inline, or when the user wants the code written directly without delegating.

Repository-specific development patterns for delegate-team. Use this skill when changing code, tests, documentation, CI, packaging, or agent surfaces in this repository. Follow the root AGENTS.md, package.json scripts, and active GitHub Actions workflows as the authoritative sources.

Repository-specific development patterns for delegate-team. Use this skill when changing code, tests, documentation, CI, packaging, or agent surfaces in this repository. Follow the root AGENTS.md, package.json scripts, and active GitHub Actions workflows as the authoritative sources.

Dispatch bounded coding tasks to a team of external implementers (Codex, Gemini, MiniMax, OpenRouter, OpenCode-go, VertexCoder) via a unified relay, then review and land. One skill, six backends, same loop. Use when "have X do this", "delegate to Y", "dispatch this", or any phrasing that asks to hand implementation work to an external agent. Covers the full brief → dispatch → wait → review → commit cycle. DO NOT USE for tasks small enough to do inline.

Use Google Vertex AI high-end coding models (Gemini 3.5 Flash and Gemini 3.1 Pro) directly on local files. Bypasses standard LLM token limits and bills to GCP. Supports direct coding and fully autonomous interactive agent loops.