Use Cases and Playbooks
Agent Skills bring scattered AI use under one platform you control. Most mid-sized companies already have AI activity in personal chat accounts, copied prompt docs, Slack threads, and department wikis. The work is happening — it just isn't owned. These playbooks walk through turning those one-off prompts and informal workflows into shared company infrastructure: reviewed, versioned, attached to the right agent, and governed by your team.
Each playbook follows the same arc: pick a real workflow that already exists, draft an Agent Skill that captures it, get it reviewed and approved, attach it to an operational agent, and watch one department stop using their private prompt docs.
Playbooks
Playbook: Build a Team AI Usage Cleanup Skill
Your teams are using AI everywhere — personal Claude accounts, ChatGPT tabs, shared prompt docs, Slack threads — and nobody can answer "what AI workflows do we actually rely on?" Build an Agent Skill that helps an operations lead inventory scattered AI usage, classify each workflow by risk and value, and produce a prioritized list of what should move into Assist first.
Playbook: Build a Team Prompt Standardization Skill
Three people on the support team have their own version of "summarize this escalation." Sales has four variations of the discovery-call summary prompt. Build an Agent Skill that turns those scattered copy-and-paste prompts into one reviewed Assist workflow per job — preserving what works, stripping private data, and producing a version the whole team can use.
Playbook: Build a Department AI Rollout Skill
You have an approved Agent Skill, and now you need to put it into real team use without recreating the same scattered AI problem in a new place. Build a rollout skill that helps a department owner validate the workflow on real work, attach it to the right operational agent, and upgrade versions deliberately as the workflow improves.