research-field-onboarding

Name: research-field-onboarding Review
Item: research-field-onboarding
Rating: 3.0
Author: Aaron Matthews

Skill Development Usable

Works inClaude Code

Usable Scanned — metadata only

Accelerates research domain knowledge transfer for AI agents, reducing hallucination and improving answer quality when teams need to onboard LLMs on propriet…

A reusable research-onboarding skill for Claude, ChatGPT, Codex, and other instruction-following agents.

Ask Claude to structure a research onboarding plan for engineers new to your codebase.
Generate a guided learning path for developers unfamiliar with your research domain.
Automate creation of onboarding documentation for research-heavy projects and teams.

76 starsMIT (commercial OK)FreeQuick setup

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Accelerates research domain knowledge transfer for AI agents, reducing hallucination and improving answer quality when teams need to onboard LLMs on proprietary research or technical domains without retraining.

Best for

Engineering teams integrating AI agents into research-heavy workflows or documentation systems requiring domain-specific accuracy.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/ljx-chase/research-field-onboarding

By ljx-chase

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.

Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.

Command

claude plugins install ljx-chase/research-field-onboarding

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.

First thing to try

After installing, paste this into Claude:

Structure a research onboarding plan for engineers new to my codebase

CostFree

Trust Signals Auto-scanned

Stars76Contributors4Last updated2026-10-05LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-24 · scanner v1

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): 75 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 Scores

Evaluation

Ease of Use

3/5

Versatility

3/5

Reliability

3/5

Security

3/5

Overall score3.00 / 5.00 UsableEvaluatedOct 2026

Scored from trust signals (evidence-eval-v1): 75 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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