Stack-unwind review of this conversation - a tree of main tasks done (struck through) and every open left behind at the depth it was abandoned, sized by the thread's measured shape, never by feel. Optional argument - a .jsonl path or session id to review a different session.
Timings measured 2026-07-16 on the M4 Max 128 GB, AFTER the stopallengines port-wait fix (before it, everything below was 2.2× slower — see the gotcha in Benchmarking).
Help users create and configure openma managed agents through conversation. Trigger when users say "create an agent", "I need an agent that...", "set up an agent for", "build me a bot", or describe a task to automate. Also trigger for "Create with AI" from Dashboard. Also use when users ask about the openma platform…
Use the openma platform to build, deploy, and manage AI agents. Trigger when users want to create agents, start sessions, manage environments, configure model cards, handle vaults/credentials, install skills, connect MCP servers, or interact with the openma HTTP API. Also trigger when users mention "oma", "openma"…
Wire AI coding tools (Cursor, Claude Code, Codex, VS Code Copilot, Honcho, Hermes Agent) to a running netllm agent at http://127.0.0.1:11400/v1. Use when the user asks to connect Cursor to netllm, use local LLM in Claude Code or Codex, point an editor at the swarm router, or invokes /netllm-connect. Requires netllm…
First-time install and bootstrap of swarm-llm (netllm) from a repo checkout. Use when the user asks to install swarm-llm, set up netllm, get the router running, clone and configure llm-swarm-router, or invokes /netllm-setup. Runs uv sync, netllm init (--single or --swarm), discover, serve verification, and prints…
Configure multi-machine LAN mesh for swarm-llm (netllm). Use when the user asks to set up a swarm, connect multiple machines (macOS, Linux, Windows), enable LAN routing, find peers via mDNS, configure a gateway, or invokes /netllm-swarm. Covers init --swarm, netllm join, swarm-token pairing, localspillover load…
A guide for building applications with Anthropic's Managed Agents, a cloud service that runs AI agents in managed containers. It covers creating agents and environments, running sessions, receiving event streams, and auditing usage.
Autonomously research any technology, library, framework, or API. Discovers official documentation, extracts key information from authoritative sources, verifies across multiple pages, and generates a reusable Claude skill (SKILL.md) with installation, examples, and best practices.
Generate Architectural Decision Records (ADRs) for a codebase by walking the source tree, identifying non-obvious architectural decisions, and writing canonical ContextAtlas-format ADRs to docs/adr/. Runs inside Claude Code session (subscription-bounded; no Anthropic API key needed). Supports optional…
Run ContextAtlas extraction inside Claude Code session (subscription-bounded; no Anthropic API key needed). Walks ADRs + source-symbol docstrings + filtered commit messages via contextatlas list-extraction-sources and extracts architectural claims via per-source iteration discipline. Persists to…
Prime your Claude Code session with ContextAtlas tools substrate at the start of each session in a ContextAtlas-configured repo. Verifies the MCP connection by probing the atlas + introduces the three MCP tools (getsymbolcontext, findbyintent, impactofchange) with when-to-use guidance. Run this once per session before…