People + AI: A new way to work

AI skills for HR tasks
that matter most

We've rounded up the best HR AI skills you can use to help with feedback, employee engagement, team oversight, performance management, and more.

HR Program

Build an AI Fluency Program

Design a practical AI fluency program that helps employees use AI responsibly, build judgment, and improve how work gets done.

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HR Program

Design a Career Growth Track

Design a practical Grow competency structure that gives employees clarity and managers a framework they can realistically use.

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Reviews

Draft a Performance Review

Use goals, feedback, Updates, and prior review context to draft a balanced performance review and check it for quality and bias.

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Conversations

Manager Coach

Use company guidance and approved employee context to prepare thoughtful, practical coaching for feedback, development, and 1:1 conversations.

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Feedback

Prepare for a 1:1

Create a focused 1:1 agenda using relevant goals, updates, feedback, meeting history, and development context.

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Updates

Write a Weekly Update

Turn notes, goals, and approved work evidence into a clear weekly update that reflects progress, blockers, and next steps.

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Explore our prompt library

upcoming skills

Help us build the right ones next

These skills are work-in-progress. Vote for the ones you'd use the most and help us decide where to start.

Start strong

New Hire 30/60/90 Plan

When a new hire starts, set outcomes, relationships, and check-ins for the first 30, 60, and 90 days, tied to the team's real goals.

Grow with intention

Feedback Coach

Prepare specific, behavior-based feedback before you give it, ask for it, or act on it, so coaching gets clearer.

Own your impact

Year-in-Review Brag Doc

Before a self-review or year-end, gather achievements, lessons, and collaborators, so impact is not limited to last month.

Care through change

Team Load Check

Spot stated overload across the team and plan check-ins around priorities and support, without using survey data as surveillance.

Start strong

Own Your Onboarding

In the first 30 to 90 days, map what to learn, who to meet, and which questions to bring to your manager.

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Frequently Asked Questions

What is a skill?

A skill is a reusable set of guidance for a task you do again and again. For example, a “Draft a performance review” skill can give your AI assistant a consistent process for bringing together relevant Lattice context and creating a strong first draft.

What is Lattice MCP?

Lattice MCP is a secure connector that lets external AI tools (like Claude, ChatGPT, and more) access and act on Lattice data. For example, employees and managers can draft, edit, and submit performance reviews in Lattice without leaving their conversation. Their responses will be rich in Lattice context from previous reviews, 1:1s, feedback, goals, and weekly updates.

What data can Lattice MCP access?

The Lattice MCP Server is designed so that connecting an AI tool never widens user access to Lattice data. It uses the same login, the same permissions, and the same boundaries you already have in the Lattice UI. Lattice MCP will first be able to pull context from performance reviews, 1:1s, feedback, goals, and weekly updates.

What problem does MCP solve?

Lattice MCP helps you avoid switching tabs, exporting data, and copying information between Lattice and external AI tools. It brings Lattice context into the AI assistants they already use so they can complete workflows faster.

Is Lattice MCP a feature of Lattice AI?

No. This differs from Lattice AI, the AI features built into the Lattice product itself. You don't need the MCP Server to use Lattice AI, and the MCP Server doesn't connect Lattice AI to outside tools. Think of Lattice AI as AI inside Lattice, and the MCP Server as the bridge that lets your AI assistant reach into Lattice.

Resources