Results for “experiment-lifecycle”

当意识到自己处于长期迷茫、缺乏动力阶段，需要系统性方法走出困境时

当感到生活迷茫、停滞不前，需要理解当前所处阶段并规划下一步行动时

Design, prioritize, and evaluate product experiments with clear hypotheses and defensible decisions, including A/B testing, sample size estimation, and statistical interpretation.

Resume a paused experiment. Checkout the experiment branch, read results history, continue iterating.

查看所有运行中实验的状态，可选自动收集已完成实验并推进流水线

Resume a paused experiment. Checkout the experiment branch, read results history, continue iterating. Use when the user runs /ar:resume or asks to pick up a previously started autoresearch experiment.

Designs an A/B test or experiment with clear hypothesis, variants, success metrics, sample size, and duration. Use when planning experiments to validate product changes or test hypotheses.

One-shot lifecycle command that chains init → baseline → spawn → eval → merge in a single invocation.

UAT Sign-off

One-shot lifecycle command that chains init → baseline → spawn → eval → merge in a single invocation.

Start an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly). Uses CronCreate for scheduling. Use when the user runs /ar:loop or asks to run an autoresearch experiment continuously on a schedule.

Autonomously runs iterative experiment loops to optimize code against a measurable metric. Use when the user wants to improve execution time, memory usage, test pass rate, or any numeric performance goal across repeated experiments — NOT for one-shot bug fixes or simple code review.

Execute the full AgentHub competition lifecycle in a single command: initialize, capture baseline, spawn agents, evaluate results, and merge the winner.

Design product experiments around hypotheses, audience, metrics, guardrails, and decisions.

Run a single experiment iteration. Edit the target file, evaluate, keep or discard.

Transforms A/B test and product experiment data into actionable readouts with hypothesis, metrics, interpretation, and decision.

Resume a paused experiment. Checkout the experiment branch, read results history, continue iterating.

Runs a full retrospective and dev cycle analysis, chaining /recall and /new-features to reconstruct what went wrong, extract lessons learned, identify rework patterns, and synthesize feature ideas from the findings.

PUA Loop — guided iterative development with recurring checks, completion evidence, and pause/abort markers. Use only when the user explicitly asks for loop/自动迭代 mode.

实验执行全流程：准备代码 → 部署运行 → 监控状态 → 收集结果，支持三种运行模式

Full token lifecycle from creation through bonding curve trading, graduation detection, AMM migration, fee collection, and volume tracking on Solana using PumpSdk and OnlinePumpSdk.

Run a single experiment iteration. Edit the target file, evaluate, keep or discard. Use when the user runs /ar:run or asks for one manual autoresearch iteration.

Run a single experiment iteration. Edit the target file, evaluate, keep or discard. Use when the user runs /ar:run or asks for one manual autoresearch iteration.

当意识到自己处于被动、重复、缺乏意义的生活状态，想要主动设计人生时