Orchestra-Research/AI-Research-SKILLs vs wanshuiyin/Auto-claude-code-research-in-sleep
Compare Orchestra-Research/AI-Research-SKILLs and wanshuiyin/Auto-claude-code-research-in-sleep using the same repository snapshot.
Related repositories are selected from shared categories, topics and mentions in the same lists. Order follows the export’s relevance signals. These links are independent of sponsorship and do not change the leaderboard.
Orchestra-Research/AI-Research-SKILLs
Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepower. Maintained by Orchestra Research.
- GitHub stars
- 14,391
- Star growth over 7 days
- +1.1%
- Heat
- 5.9
- Before you install
- Network or broad shell
- Median activation tokens (estimate)
- 3,240.5 tokens
- Project activity
- Active
- License
- MIT
- Supported agents
- Claude Code
wanshuiyin/Auto-claude-code-research-in-sleep
ARIS ⚔<U+FE0F> (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
- GitHub stars
- 18,935
- Star growth over 7 days
- +1.9%
- Heat
- 7.6
- Before you install
- Network or broad shell
- Median activation tokens (estimate)
- 3,475 tokens
- Project activity
- Active
- License
- MIT
- Supported agents
- Claude Code
Token cost is the median frontmatter plus SKILL.md estimate per skill. Reference files load on demand and scripts run separately. The estimate is unavailable when skill records or token counts are incomplete. Missing growth or heat history stays unmeasured, never zero.
Automated signals, not a guarantee Methodology
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