Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.

SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution

Set up and run a public Portal relay on any Linux host with a public IP — Docker Compose deployment, embedded authoritative DNS with one-time NS delegation, optional TCP/UDP lease ports for game hosting, and registration in the public relay pool. Use when the user asks to run their own relay, contribute a relay to the Portal network, self-host a relay instead of using public ones, or open a relay with game-server support. Do not use for exposing a local service (portal-expose) or for accessing a CLI agent remotely.

A multi-player tournament benchmark that tests LLMs in social reasoning, strategy, and deception. Players engage in public and private conversations, form alliances, and vote to eliminate each other

Precinct shapes (and vote results) for US elections past, present, and future

Discover evidence-backed customer language, pain points, objections, and buying triggers from relevant Reddit communities. Use when asked for Reddit research, voice-of-customer analysis, audience pain points, product feedback, or community-led content opportunities.

Analyze Hacker News thread sentiment from a provided HN thread URL.