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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.
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/johnalbertini14-glitch/openclaw-skills --skill research-library명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SOC 직업 분류 기준
SKILL.md 표시 중
| 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.