@intentsolutionsio/claude-pack
Reduces development time and API integration complexity by providing pre-built, production-ready skills for Claude API implementations.
Claude Code skill pack for building with the Claude API and Anthropic SDK — 32 hand-written skills
- Generate boilerplate code for Claude API integration in your Node.js project
- Find code examples for implementing specific Anthropic SDK features and patterns
- Automate common API tasks like prompt engineering and message handling workflows
Reduces development time and API integration complexity by providing pre-built, production-ready skills for Claude API implementations. Teams avoid redundant coding patterns and lower risk of suboptimal API usage.
Backend engineers and API integrators building Claude-powered applications with the Anthropic SDK.
https://www.npmjs.com/package/@intentsolutionsio/claude-pack
By intentsolutionsio
How to Get It
npx @intentsolutionsio/claude-pack
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 generate boilerplate code for Claude API integration in my Node.js project
Trust Signals Auto-scanned
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 2,832 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): 2,832 GitHub stars; contributors unknown; last commit 0d ago; license MIT.