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Research Library

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.

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High Signal

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.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
BUILD_LOG.md, PHASE1-FINAL-METRICS.md, RESEARCH-LIBRARY-SKILL.md, SKILL.md, TECHNICAL-NOTES.md, _meta.json

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 15 sections Open source page

Research Library Skill

A local-first multimedia research library for capturing, organizing, and searching hardware project knowledge.

What It Does

Store documents โ€” Code, PDFs, CAD files, images, schematics Extract automatically โ€” Text from PDFs, EXIF from images, functions from code Search intelligently โ€” Full-text with material-type weighting (your work ranks higher than external research) Project isolation โ€” Arduino separate from CNC; no contamination Cross-reference โ€” Link knowledge: "this servo tuning applies to that project" Async extraction โ€” Searches never block while OCR runs Backup daily โ€” 30-day rolling snapshots

Installation

clawhub install research-library # OR pip install /path/to/research-library

Quick Start

# 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

CLI Commands

reslib add โ€” Import documents (auto-detect + extract) reslib search โ€” Full-text search with filters reslib get โ€” View document details reslib archive / reslib unarchive โ€” Manage documents reslib export โ€” Export as JSON/Markdown reslib link โ€” Create document relationships reslib projects โ€” Manage projects reslib tags โ€” Manage tags reslib status โ€” System overview reslib backup / reslib restore โ€” Snapshots reslib smoke_test.sh โ€” Quick validation

Technical

Storage: SQLite 3.45+ with FTS5 virtual table Extraction: PDF (pdfplumber + OCR), images (EXIF + OCR), code (AST + regex) Confidence Scoring: 0.0-1.0 based on quality + source Material Weighting: Reference (1.0) vs Research (0.5) Project Isolation: Scoped searches, no contamination Async Workers: 2-4 configurable extraction workers Catalog Separation: real_world vs openclaw projects Backup: Daily snapshots, 30-day retention

Configuration

Copy 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 }

Integration with War Room

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="...", ...)

Performance

All targets exceeded: OperationTargetActualPDF extraction<100ms20.6msSearch (50 docs)<100ms0.33msWorker throughput>6/sec414.69/sec

Testing

# Run all tests pytest tests/ # Quick smoke test bash reslib/smoke_test.sh # Performance tests pytest tests/test_integration.py -v -k stress

Known Limitations (Phase 2)

OCR quality varies on hand-drawn sketches FTS5 designed for <10K documents (PostgreSQL path for scale) No automatic web research gathering (manual only) Vector embeddings ready but inactive CAD file parsing is metadata-only

Documentation

See /docs/: CLI-REFERENCE.md โ€” All commands + examples EXTRACTION-GUIDE.md โ€” How extraction works SEARCH-GUIDE.md โ€” Ranking + weighting WORKER-GUIDE.md โ€” Async queue details INTEGRATION.md โ€” War room RL1 protocol

Phase 2 Roadmap

Real-world PDF calibration FTS5 scaling tests (10K docs) Auto-detection (reference vs research) Web research enrichment Vector embeddings (semantic search) PostgreSQL upgrade path

Building From Source

cd research-library pip install -e . pytest tests/ python -m reslib status

Support

Issues? See TECHNICAL-NOTES.md for troubleshooting. Production-ready MVP. 214 tests passing. 15K lines. Ready to use.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
5 Docs1 Config
  • SKILL.md Primary doc
  • BUILD_LOG.md Docs
  • PHASE1-FINAL-METRICS.md Docs
  • RESEARCH-LIBRARY-SKILL.md Docs
  • TECHNICAL-NOTES.md Docs
  • _meta.json Config