my-wiki
Centralizes team knowledge with verifiable sources and AI-powered Q&A, reducing context-switching and onboarding time while maintaining local control over pr…
Local-first AI knowledge app and Agent Skill with evidence-backed Wiki, an interactive knowledge universe, Viki Q&A, and shareable knowledge galaxies.
- Build a searchable knowledge base of your team's documented best practices and past solutions.
- Generate Q&A pairs from your technical documentation to train junior engineers quickly.
- Create shareable knowledge packages your team can reference during code reviews and debugging.
Centralizes team knowledge with verifiable sources and AI-powered Q&A, reducing context-switching and onboarding time while maintaining local control over proprietary documentation.
Engineering teams managing complex codebases who need searchable, evidence-backed internal documentation without external dependency.
https://github.com/NimaChu/my-wiki
By NimaChu
How to Get It
claude plugins install NimaChu/my-wiki
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me build a searchable knowledge base of my team's documented best practices and past solutions
Trust Signals Auto-scanned
Community Pulse New
- Ask HN: Does anyone else keep their own knowledge wiki? — Hacker News · 27 pts
- Show HN: I Debian-packaged my Wiki Server — Hacker News · 14 pts
- My Wikipedia page is being deleted because I'm no longer notable enough — Hacker News · 7 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 74 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 74 GitHub stars; contributors unknown; last commit 0d ago; license MIT.