菜单
Local-first multimedia research library for hardware projects. Capture code, CAD, PDFs, images. Search with material-type weighting. Project isolation with cross-references. Async extraction. Backup + restore.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/johnalbertini14-glitch/openclaw-skills --skill research-library命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | research-library |
| description | Local-first multimedia research library for hardware projects. Capture code, CAD, PDFs, images. Search with material-type weighting. Project isolation with cross-references. Async extraction. Backup + restore. |
| version | 0.1.0 |
| author | Sage (for Jon Buckles) |
| license | MIT |
| tags | ["knowledge-management","research","hardware","documentation","sqlite","fts5"] |
| repository | https://github.com/[user]/research-library |
| keywords | ["library","search","extraction","project-management","knowledge-base"] |
A local-first multimedia research library for capturing, organizing, and searching hardware project knowledge.
clawhub install research-library
# OR
pip install /path/to/research-library
# Initialize database
reslib status
# Add a project
reslib add ~/projects/arduino/servo.py --project arduino --material-type reference
# Search
reslib search "servo tuning"
# Link knowledge
reslib link 5 12 --type applies_to
reslib add — Import documents (auto-detect + extract)reslib search — Full-text search with filtersreslib get — View document detailsreslib archive / reslib unarchive — Manage documentsreslib export — Export as JSON/Markdownreslib link — Create document relationshipsreslib projects — Manage projectsreslib tags — Manage tagsreslib status — System overviewreslib backup / reslib restore — Snapshotsreslib smoke_test.sh — Quick validationCopy reslib/config.json and customize:
{
"db_path": "~/.openclaw/research/library.db",
"num_workers": 2,
"worker_timeout_sec": 300,
"max_retries": 3,
"backup_retention_days": 30,
"backup_dir": "~/.openclaw/research/backups",
"file_size_limit_mb": 200,
"project_size_limit_gb": 2
}
Use RL1 protocol in war room DNA:
from reslib import ResearchDatabase, ResearchSearch
db = ResearchDatabase()
search = ResearchSearch(db)
# Before researching, check existing knowledge
prior = search.search("servo tuning", project="rc-quadcopter")
if prior:
print(f"Found {len(prior)} prior items")
else:
# New research needed...
db.add_research(title="...", content="...", ...)
All targets exceeded:
| Operation | Target | Actual |
|---|---|---|
| PDF extraction | <100ms | 20.6ms |
| Search (50 docs) | <100ms | 0.33ms |
| Worker throughput | >6/sec | 414.69/sec |
# Run all tests
pytest tests/
# Quick smoke test
bash reslib/smoke_test.sh
# Performance tests
pytest tests/test_integration.py -v -k stress
See /docs/:
CLI-REFERENCE.md — All commands + examplesEXTRACTION-GUIDE.md — How extraction worksSEARCH-GUIDE.md — Ranking + weightingWORKER-GUIDE.md — Async queue detailsINTEGRATION.md — War room RL1 protocolcd research-library
pip install -e .
pytest tests/
python -m reslib status
Issues? See TECHNICAL-NOTES.md for troubleshooting.
Production-ready MVP. 214 tests passing. 15K lines. Ready to use.