ai-workspace-archive
Eliminates time spent hunting fragmented AI tool resources across repos and docs.
A massive, self-updating local archive of AI tools — 11,000+ agent skills, 240+ MCP servers, 2,200+ IDE rules (Cursor/Cline), and 30+ system prompt collections. One repo to rule them all.
- Search the archive to find relevant AI agent skills for your specific development task.
- Browse MCP server implementations to integrate new capabilities into your local environment.
- Review IDE rules and system prompts to customize your Cursor or Cline configuration.
Eliminates time spent hunting fragmented AI tool resources across repos and docs. A single, continuously updated source reduces onboarding friction and ensures teams access proven prompts, MCP integrations, and IDE rules without manual curation.
Development teams standardizing AI tooling workflows and engineering leaders centralizing agent/IDE configurations across squads.
https://github.com/HIDORAKAI002/ai-workspace-archive
By HIDORAKAI002
How to Get It
claude plugins install HIDORAKAI002/ai-workspace-archive
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 search the archive to find relevant AI agent skills for my specific development task
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 27 GitHub stars; contributors unknown; last commit 0d ago; license no license.
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): 27 GitHub stars; contributors unknown; last commit 0d ago; license no license.