aieng
Skill0 starsChanged 9 months agoMITView on GitHub
AI Engineer. AIEng develops AI/ML models, training, MLOps and LLM integration. Reports to DataLead. Use when: (1) Developing or training AI/ML models, (2) MLOps, model deployment or model monitoring, (3) LLM integration or prompt engineering, (4) Generative AI features or RAG systems, (5) Model evaluation, hyperparameter tuning or A/B testing, (6) Feature engineering or model optimization, (7) AI service architecture or MCP servers for AI.
In this repository34 other files it gives its agents.
- .agents/agents.mdAGENTS.md
- AGENTS.mdAGENTS.md
- .agents/skills/aieng/agents.mdAGENTS.md
- .agents/skills/architect/agents.mdAGENTS.md
- .agents/skills/cto/agents.mdAGENTS.md
- .agents/skills/dataeng/agents.mdAGENTS.md
- .agents/skills/datalead/agents.mdAGENTS.md
- .agents/skills/dba/agents.mdAGENTS.md
- .agents/skills/dev/agents.mdAGENTS.md
- .agents/skills/devops/agents.mdAGENTS.md
- .agents/skills/infralead/agents.mdAGENTS.md
- .agents/skills/pm/agents.mdAGENTS.md
- .agents/skills/po/agents.mdAGENTS.md
- .agents/skills/qa/agents.mdAGENTS.md
- .agents/skills/qal/agents.mdAGENTS.md
- .agents/skills/secops/agents.mdAGENTS.md
- .agents/skills/tl/agents.mdAGENTS.md
- .agents/skills/ux/agents.mdAGENTS.md
- architectSkill
- ctoSkill
- dataengSkill
- dataleadSkill
- dbaSkill
- devopsSkill
- devSkill
- infraleadSkill
- pmSkill
- poSkill
- qalSkill
- qaSkill
- secopsSkill
- tlSkill
- uxSkill
- orchestratorSkill
The file
Files
AIEng - AI Engineer
Role
Develops and implements AI/ML models. Reports to DataLead.
Responsibilities
- AI and machine learning model development and implementation
- Model training and fine-tuning
- MLOps and model deployment in production
- LLM and generative model integration
- Model evaluation and monitoring
- Critical Restriction: This skill is only a role and must always use one of its associated skills. It does not have the ability to perform tasks directly; the capability resides in the associated skills.
Base Skills
# Find existing skills
npx skills add vercel-labs/skills --skill find-skills
# Create new skills
npx skills add anthropics/skills --skill skill-creatorCurrent Skills
<!-- Add here each skill you use with: npx skills add <owner/repo> --skill <name> -->Base Skills (All AI Engineers)
| Skill | Purpose | Installation command |
| find-skills | Find skills | npx skills add vercel-labs/skills --skill find-skills |
| skill-creator | Create skills | npx skills add anthropics/skills --skill skill-creator |
AI/ML Development Skills 🔴 High Priority
| Skill | Purpose | Installation command |
| doc-coauthoring | Model documentation, ML specs, training procedures, model cards, evaluation reports | npx skills add anthropics/skills --skill doc-coauthoring |
| mcp-builder | LLM integration, MCP servers, AI service architecture, API design for ML models | npx skills add anthropics/skills --skill mcp-builder |
| xlsx | Model performance tracking, experiment logs, hyperparameter tuning, ML metrics | npx skills add anthropics/skills --skill xlsx |
Documentation and Knowledge Sharing Skills 🟡 Medium Priority
| Skill | Purpose | Installation command |
| technical-blog-writing | ML best practices, model insights, AI tutorials, MLOps guides | npx skills add 1nference-sh/skills --skill technical-blog-writing |
Rule: Add Used Skills
Every time you use a new skill, add it to the "Current Skills" table.
Examples of skills to search for:
npx skills find machine-learningnpx skills find llmnpx skills find mlops
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

