AI Expert Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
Install with one command
$ npx skills add AMAI-GmbH/AI-Expert-RoadmapDecision summary
Production-ready for GitHub automation
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Best for
- GitHub automation workflows
- Claude Code teams
- teams that value GitHub adoption signals
Not ideal for
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
Risk notes
- No major risk signals from current metadata
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Analyze datasets
Data analysis
I need my agent to analyze CSV data, produce insights, and explain trends.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Stack fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Overview
Roadmap to becoming an Artificial Intelligence Expert in 2022
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- MIT
- Last Updated
- 6/7/2026
- Published
- 6/6/2026
Frameworks & Tools
Claim this skill
Project owners can request ownership review. Approved claims unlock a stronger trust signal.
Author
AMAI-GmbH✓
@amai-gmbh
Tags
Platform Fit
Health Signals
- GitHub stars
- 31.1K
- Quality score
- 64/100
- Last GitHub push
- Sep 12, 2025
- Framework hints
- 2
- OpenAgentSkill views
- 1
- Install copies
- 0
- Outbound clicks
- 0
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
- —Open source (public GitHub repo)
- —AI static analysis passed
- —License: MIT
- —Manually verified by team
Related Skills
Superset
Apache Superset is a Data Visualization and Data Exploration Platform
73.2K stars · 0 installsScikit Learn
scikit-learn: machine learning in Python
66.3K stars · 0 installsPandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
48.9K stars · 0 installsMetabase
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:
47.6K stars · 0 installs