---
id: daily-resume
name: "resume"
url: https://skills.yangsir.net/skill/daily-resume
author: alirezarezvani
domain: science
tags: ["experiment-tracking", "research-methodology", "automation", "context-preservation", "scientific-method"]
install_count: 1200
rating: 4.30 (20 reviews)
github: https://github.com/alirezarezvani/claude-skills
---

# resume

> 恢复暂停的实验上下文，读取完整历史记录并继续执行，支持长时间实验的断点续传和状态管理

**Stats**: 1,200 installs · 4.3/5 (20 reviews)

## Before / After 对比

### 实验状态恢复

**Before**:

长时间实验因上下文限制被迫暂停，重新开始需要重复之前的设置和步骤，浪费大量时间且难以复现中间结果

**After**:

自动保存实验完整状态和上下文，随时恢复到任意断点继续执行，保留中间结果和调试信息，大幅提升实验效率

| Metric | Before | After | Change |
|---|---|---|---|
| 实验恢复时间 | 120分钟 | 5分钟 | -96% |

## Readme

# resume

# /ar:resume — Resume Experiment

Resume a paused or context-limited experiment. Reads all history and continues where you left off.

## Usage

```
/ar:resume                                  # List experiments, let user pick
/ar:resume engineering/api-speed            # Resume specific experiment

```

## What It Does

### Step 1: List experiments if needed

If no experiment specified:

```
python {skill_path}/scripts/setup_experiment.py --list

```

Show status for each (active/paused/done based on results.tsv age). Let user pick.

### Step 2: Load full context

```
# Checkout the experiment branch
git checkout autoresearch/{domain}/{name}

# Read config
cat .autoresearch/{domain}/{name}/config.cfg

# Read strategy
cat .autoresearch/{domain}/{name}/program.md

# Read full results history
cat .autoresearch/{domain}/{name}/results.tsv

# Read recent git log for the branch
git log --oneline -20

```

### Step 3: Report current state

Summarize for the user:

```
Resuming: engineering/api-speed
  Target: src/api/search.py
  Metric: p50_ms (lower is better)
  Experiments: 23 total — 8 kept, 12 discarded, 3 crashed
  Best: 185ms (-42% from baseline of 320ms)
  Last experiment: "added response caching" → KEEP (185ms)

  Recent patterns:
  - Caching changes: 3 kept, 1 discarded (consistently helpful)
  - Algorithm changes: 2 discarded, 1 crashed (high risk, low reward so far)
  - I/O optimization: 2 kept (promising direction)

```

### Step 4: Ask next action

```
How would you like to continue?
  1. Single iteration (/ar:run)  — I'll make one change and evaluate
  2. Start a loop (/ar:loop)     — Autonomous with scheduled interval
  3. Just show me the results    — I'll review and decide

```

If the user picks loop, hand off to `/ar:loop` with the experiment pre-selected.
If single, hand off to `/ar:run`.
Weekly Installs451Repository[alirezarezvani/…e-skills](https://github.com/alirezarezvani/claude-skills)GitHub Stars10.1KFirst SeenMar 13, 2026Security Audits[Gen Agent Trust HubPass](/alirezarezvani/claude-skills/resume/security/agent-trust-hub)[SocketPass](/alirezarezvani/claude-skills/resume/security/socket)[SnykPass](/alirezarezvani/claude-skills/resume/security/snyk)Installed onopencode427codex426cursor426gemini-cli425github-copilot425amp424

---
*Source: https://skills.yangsir.net/skill/daily-resume*
*Markdown mirror: https://skills.yangsir.net/api/skill/daily-resume/markdown*