Use when adding, reviewing, or debugging parallelism in ArcadeDB engine or server code - covers the dedicated thread pool inventory and sizing, saturation policy, lock-free read patterns, locking rules, Micrometer pool metrics, and the checklist a new pool must satisfy. Also use when deciding where to submit forked…
Spawn conversations with other LLMs (Gemini, GPT, ChatGPT, Codex, o3, DeepSeek, Qwen, Grok, Mistral, etc.) and fold results back into your context. TRIGGER when: user asks to talk to, chat with, use, call, or spawn another LLM or model; user mentions Gemini, GPT, ChatGPT, Codex, o3, DeepSeek, Claude (as a sidecar…
A skill for sending a task to other AI models and collecting their results. It supports direct API calls, command-line tools and built-in internal agents, depending on the model.
Use when the user asks to research, investigate, verify facts with sources, compare competitors, study a market or industry, review literature, prepare an evidence-backed report, decide whether a topic needs external Deep Research, or make an evidence-backed judgment or recommendation. Runs breadth-first Quick Recon…
Use when the user asks to research, investigate, verify facts with sources, compare competitors, study a market or industry, review literature, prepare an evidence-backed report, decide whether a topic needs external Deep Research, or make an evidence-backed judgment or recommendation. Runs breadth-first Quick Recon…
High Stakes mode: a rigor engine for high-stakes, ambiguous DECISIONS (deck/slide for an investor, board, or client; narrative; positioning; strategic decision). Refines the ask with a pre-filled brief, grounds the inputs in truth, runs a blind adversarial panel (personas × models from different families) over…
Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.
Adaptively route independent investigation, review, or high-impact cross-checking to an audited read-only Orichum Workflow when it can add distinct evidence. Do not use when the controller already has sufficient evidence and no independent workflow can add non-duplicative value.
Multi-model decision workflow for Hermes: Conductor plans and synthesizes, Worker does high-volume work, and Critic red-teams the result. Use for important strategy, research, content, niche, product, business, and high-stakes decisions; triggers include троица, используй троицу, через 3 модели, GPT + DeepSeek +…
Multi-model advisory board using OpenAI Codex CLI and Google Antigravity CLI (agy) to provide second opinions on code reviews, architecture plans, debugging, and general engineering decisions. Invoke when the user requests a "council" review, wants a second opinion from other AI models, asks for multi-model consensus…
Adversarial cross-model review for hard, load-bearing tasks — combining frontier models: the Claude session (Opus 5 or Fable 5 as the intended orchestrator) hands a claim, diff, or result to an OpenAI model (gpt-5.6-sol / gpt-5.6-terra / gpt-5.5, via the codex CLI on ChatGPT-subscription auth, no API key), which…
Claude-native multi-model routing — dispatch each task to the right Claude model tier (Fable judgment · Opus orchestrate/review + hard build · Sonnet build · Haiku volume) via model-pinned subagents. Use when routing a Claude task by model or reasoning effort, consulting the advisor at a commitment boundary, or…
Route explicit requests from a host coding agent to one or more locally configured AI executors through Codeck, attach Markdown or other project files, moderate cross-model consultation, expose disagreements, and synthesize traceable results. Use when the user explicitly names Codeck or asks to consult, compare, or…