๐Ÿ“Š
DataPython

Progress Report

by Xiangyue-Zhang

Progress Report is a Data skill for Claude Code, published by Xiangyue-Zhang in auto-deep-researcher-24x7.

1.3K stars111 forkson Xiangyue-Zhang/auto-deep-researcher-24x7Added 2026/08/20Repository updated 2026/06/03
ai-agentautonomous-agentclaude-codedeep-learningexperiment-automationgpuhyperparameter-tuningllm-agentmachine-learningmlopspytorchresearch-automation
Install in seconds
Install Progress Report
Copy Progress Report into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7/tree/main/skills/progress-report ~/.claude/skills/progress-report

Requires Node.js. Downloads this skill only โ€” not the rest of the repository โ€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7.git

Clones the whole repository, then copy the skillโ€™s own directory into your skills folder yourself.

In this catalog

Source file
skills/progress-report/SKILL.md in Xiangyue-Zhang/auto-deep-researcher-24x7
Installs to
~/.claude/skills/progress-report
Collection
One of 8 skills cataloged from this repository
Category
Data โ€” 668 skills

What Progress Report does

Progress Report generates structured research progress reports from project memory logs and recent experiment logs. Use it to summarize current status, key insights, next steps, and blockers in autonomous research projects.

Progress Report is cataloged under Data on DirSkills. Progress Report comes from a repository tagged ai-agent, autonomous-agent, claude-code, deep-learning and experiment-automation.

Documentation

README

progress-report

Generate a structured progress report for the current research project.

Invoke as /progress-report in Claude Code or $progress-report in Codex.

Behavior

  1. Read the project's MEMORY_LOG.md for milestones and decisions
  2. Check recent experiment logs in workspace
  3. Compile results into a structured report

Output Format

# Progress Report โ€” YYYY-MM-DD

## Current Status
- Best result: [metric]
- Total experiments: [N]
- Current direction: [description]

## Recent Experiments
| # | Config | Metric | Date | Notes |
|---|--------|--------|------|-------|

## Key Insights
- What we learned
- What works / doesn't work

## Next Steps
1. Planned experiments
2. Open questions

## Blockers
- Any issues or risks

Commands Progress Report provides

Slash commands named in this skillโ€™s SKILL.md, listed in the order they first appear.

  • /progress-report

Frequently asked about Progress Report

  • What else does Xiangyue-Zhang publish alongside Progress Report?

    Progress Report is one of 8 skills that DirSkills catalogs from Xiangyue-Zhang/auto-deep-researcher-24x7, the repository it ships in. Its siblings there include Auto Experiment, Conf Search and Daily Papers. Each one is a separate skill with its own page in this directory, installs the same way Progress Report does, and is maintained by Xiangyue-Zhang in that same repository. The rest of the collection is listed on the Xiangyue-Zhang/auto-deep-researcher-24x7 page.

  • How does Progress Report compare to other Data skills?

    Progress Report ranks #423 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Progress Report against them. Open each page to compare what they document and how they install.

More from Xiangyue-Zhang/auto-deep-researcher-24x7

Progress Report is one of 8 skills cataloged on DirSkills from Xiangyue-Zhang/auto-deep-researcher-24x7.

See all 8 skills โ†’
๐Ÿงช
2w ago

Auto Experiment

Auto Experiment launches an autonomous THINKโ†’EXECUTEโ†’REFLECT loop that runs deep learning experiments 24/7. Use it to iterate on GPU training, monitor runs at zero LLM cost, and automatically decide next steps from results.
Automation
1.3K111
๐Ÿ”
2w ago

Conf Search

Conf Search finds papers from top AI/ML conferences using Semantic Scholar, letting researchers filter by venue and query, sort by relevance and citations, and analyze results.
Data
1.3K111
๐Ÿ“„
2w ago

Daily Papers

Daily Papers searches arXiv for recent papers relevant to a user's research interests and deduplicates recommendations. Use it inside Claude Code or Codex to get a daily ranked briefing of new papers with detailed analysis.
Automation
1.3K111
๐Ÿ“Š
2w ago

Experiment Status

Experiment Status checks the current state of autonomous experiment loops, including progress, recent decisions, training process status, and GPU utilization. Use it to monitor long-running experiments and review results without interrupting execution.
Automation
1.3K111
๐Ÿ–ฅ๏ธ
2w ago

GPU Monitor

GPU Monitor checks GPU status, running experiments, and available resources by running nvidia-smi and summarizing the output. Use it to quickly see which GPUs are free or in use for training.
DevOps
1.3K111
๐Ÿ”„
2w ago

Obsidian Sync

Obsidian Sync refreshes an Obsidian dashboard and daily notes from the current state of a Deep Researcher project. Use it when you want progress documentation updated from experiment state, memory logs, and cycle counters.
Automation
1.3K111