xclaude-plugin
Reduces token waste and context bloat during iOS development by organizing Xcode tools into focused workflows, lowering API costs and improving Claude intera…
iOS development ClaudeCode plugin for mindful token and context usage. Contains modular MCPs that group various Xcode/IDB tools based on your current workflow.
- Ask Claude to analyze Xcode build logs and suggest performance improvements for iOS apps.
- Generate optimized prompts that use fewer tokens while maintaining full project context.
- Automate repetitive iOS debugging tasks by routing requests through the appropriate MCP module.
Reduces token waste and context bloat during iOS development by organizing Xcode tools into focused workflows, lowering API costs and improving Claude interaction efficiency.
iOS engineering teams using Claude for code generation and debugging within Xcode-heavy workflows.
https://github.com/conorluddy/xclaude-plugin
By conorluddy
How to Get It
claude plugins install conorluddy/xclaude-plugin
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:
Analyze Xcode build logs and suggest performance improvements for iOS apps
Trust Signals Auto-scanned
Community Pulse Quiet
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): 181 GitHub stars; contributors unknown; last commit 1d 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): 181 GitHub stars; contributors unknown; last commit 1d ago; license MIT.