Imprint
Reduces onboarding friction and context-switching overhead by encoding team patterns and project knowledge into reusable structures that persist across tools…
Your AI’s DNA: one skill for memory, compression, onboarding, code review, debugging, planning, progress tracking, testing, git workflow, and SEO. It learns your patterns from conversations, encodes them in structure, and carries them across platforms. Use it for any code, project, document, feature, commit, or new session.
- Ask Claude to summarize your project patterns and save them for consistent future work.
- Generate a compressed onboarding guide from your codebase and documentation structure.
- Automate code review feedback by encoding your team's established style preferences.
Reduces onboarding friction and context-switching overhead by encoding team patterns and project knowledge into reusable structures that persist across tools and sessions, lowering ramp-up time for new contributors.
Engineering teams managing distributed codebases or high-turnover projects requiring consistent documentation and collaborative context preservation.
https://github.com/ilang-ai/Imprint
By ilang-ai
How to Get It
claude plugins install ilang-ai/Imprint
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:
Summarize my project patterns and save them for consistent future work
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- USB-C cable with the bandwidth and USB type imprinted on the connector — Hacker News · 299 pts
- Ads work by cultural imprinting, not emotional inception — Hacker News · 142 pts
- Early adversity leaves lasting molecular imprint across the body: primate study — Hacker News · 82 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): 101 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): 101 GitHub stars; contributors unknown; last commit 0d ago; license MIT.