Resources
Practical thinking for teams working with AI skills.
Use practical, step-by-step guidance to navigate the decisions, patterns, and trade-offs behind durable team workflows.
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01 / Topic
Cross-agent sharing
Keep one team recommendation visible while teammates use Claude Code, Codex, Cursor, MCP, or a direct source workflow.
guide
How to share AI agent skills with your team
A practical workflow to share AI agent skills across a team, set ownership, compare distribution models, and keep one visible team recommendation library.
guide
Manage skills across Claude Code, Codex, and Cursor
Use one source of truth to manage SKILL.md workflows across Claude Code, Codex, and Cursor without confusing portability with automatic synchronization.
guide
How to use a shared AI skill library through MCP
Connect an MCP-compatible agent to a shared team skill library, authorize access in the browser, search recommendations, and verify a useful handoff.
02 / Topic
Team governance and onboarding
Choose useful skills, define accountable workflows, and help a second teammate reproduce the result without private context.
guide
How to choose the first AI agent skill for your team
Evaluate AI agent skills with a selection scorecard, source review, disqualifier check, and teammate test before your team recommends one.
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AI skills onboarding checklist for a new teammate
Use this AI skills onboarding checklist to help a new teammate find one team-recommended skill, choose a suitable path, and verify it on a real task.
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AI agent skill use cases for teams: 8 repeatable workflows
Explore eight practical AI agent skill use cases for teams, with clear triggers, safe inputs, reviewable outputs, human checks, and stop boundaries.
03 / Topic
AI coding practices
Turn coding-agent experiments into bounded team guidance, review gates, and repeatable engineering workflows.
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AI coding guidelines template for engineering teams
Use this AI coding guidelines template to define allowed work, trusted context, verification, human handoffs, and ownership for a team using coding agents.
guide
How to onboard your engineering team to AI coding tools
A practical AI coding team onboarding plan: choose one workflow, provide trusted context, set review gates, and measure adoption before expanding tool access.
Turn a useful workflow into a team recommendation.
Keep the source, setup path, and operating notes in one searchable library your teammates can return to.