Use ai-adoption-rollout
Plan the human rollout of an AI tool or workflow to an organisation
Plan the human rollout of an AI tool or workflow to an organisation — sized cohorts, enablement per cohort, named champions, a comms plan that states what will not change, and an adoption gate every wave must pass before the next one opens.
Reach for it when a tool has been chosen and the question is how it reaches people without stalling or backlash. Do NOT use to phase a technical cutover (that's migration-plan) or to choose which use case to roll out (that's ai-use-case-triage).
Install it
npx skilldrop-cli install ai-adoption-rollout # Claude Code, your user folder
npx skilldrop-cli install ai-adoption-rollout --project # Claude Code, this repo
npx skilldrop-cli install ai-adoption-rollout --ide cursor # or kiro, codex, antigravity, copilot
It is part of the AI engineering pack: --pack ai-engineering installs it with its neighbours.
Ask for it
Say it the way you would to a colleague. Requests like these route to it:
- "Plan how we roll this AI tool out to the org"
- "How do we drive adoption without a backlash?"
- "Design the cohorts and enablement for our AI launch"
- "Our last AI rollout decayed after launch — plan the retry"
Requests like these belong to a different skill, so it shouldn't answer them:
- "Plan the phased migration of our database schema"
- "Which use case should we roll out first?"
- "Write the rules for what people can put into these tools"
If another skill answers instead, ask for this one by name: "use ai-adoption-rollout".
Check what you get
A good result:
- Cohorts get smaller-to-larger with a stated reason each, and the plan refuses a single big-bang wave.
- Every wave has an adoption gate with an observable, a threshold, and a bake time — plus a rollback if it fails.
- The outcome is a behaviour, not a usage number. Licences activated is not adoption.
- The comms plan states explicitly what will not change (headcount, evaluation, how work is judged). Omitting it is a defect, not a tone choice.
- Champions are roles with protected hours, never names, and never unbudgeted.
- Enablement is per cohort and hands-on with the participant's own work — a single deck for everyone is the failure mode.
- The friction loop names an owner and a cadence.
Use something else when
- Phasing a technical cutover (schema, API version, datastore) — that's
migration-plan, which sequences systems, not people. - Choosing which use case to roll out — that's
ai-use-case-triage. - Deciding whether the organisation is ready at all — that's
ai-readiness-assessment. - Writing the rules for what may be put into the tool — that's
ai-usage-policy. - Reporting on adoption that already happened — that's
ai-usage-report.
Next
- SKILL.md, the instructions the agent reads
- Its page on the site
- Related: ai-readiness-assessment, ai-usage-policy, ai-usage-report, ai-use-case-triage, migration-plan