技能创建器
skill-creator
创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
deep-research【数据与研究】Structured multi-step research: search → extract → cross-reference → synthesize with citations.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Multi-step research workflow that produces cited reports from multiple sources.
python3 scripts/research_report.py "What are the best practices for LLM agent memory in 2026?"
python3 scripts/research_report.py "Compare FastAPI vs Litestar performance" --depth deep
Reports follow this template:
# Research Report: {Topic}
**Date:** YYYY-MM-DD
**Sources consulted:** N
## Summary
2-3 sentence overview of findings.
## Key Findings
### Finding 1
Detail with evidence. [Source 1][1] confirms that...
### Finding 2
...
## Conflicting Information
Where sources disagree, note both positions.
## Conclusion
Actionable synthesis.
## Sources
[1]: https://... — Title
[2]: https://... — Title
| Level | Searches | Pages Read | Time |
|---|---|---|---|
| quick | 2-3 | 3-5 | ~30s |
| normal | 5-8 | 8-12 | ~2min |
| deep | 10-15 | 15-25 | ~5min |
web-search for the search stepweb-extract for the extraction stepsummarize skill for per-page summaries before synthesisnote-taking skill