agentleFS
CharleneTStrainCharleneTStrain/product-ops-skills/skills/deprecation-plan/SKILL.md

deprecation-plan

Skill0 starsChanged 19 days agoMITView on GitHub

Plan the retirement of a feature, plan, integration, or API version — who's affected, the timeline, what customers move to, the messages they'll get, and how to handle the ones who won't move. Use when someone is sunsetting, deprecating, retiring, or end-of-lifing anything customers use, or needs deprecation emails, a sunset timeline, or a migration plan.

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If usage data or contract impact is unknown, flag it as the first thing to find out.

    line 30
  2. Distinctive:

    No euphemisms ("evolving our offering") for removing something

    line 53

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Deprecation plan

Removing something customers use is a launch in reverse, and it needs the same care. The goal is that no customer is surprised, everyone knows what to do instead, and support isn't flooded on the last day.

Before you start

If .agents/product-ops-context.md exists (or .claude/product-ops-context.md), read it first. Use the team, owners, tools, meetings, and metric definitions it already has, and only ask for what's missing or specific to this task. If it doesn't exist, go ahead with what you're given, and suggest running product-ops-context once so the next skill doesn't have to ask.

Step 1: Size the impact

From the source, establish:

QuestionAnswer
What's being retired[Feature, plan, version]
Why[Reason as given]
Who uses it[Count of accounts or users, segments, any named key accounts]
How heavily[Usage data, if available]
What replaces it[Alternative, or "nothing"]
What customers must do[Migrate, change settings, nothing]
Contract or pricing impact[Any customers paying for it? Contractual commitments?]

If usage data or contract impact is unknown, flag it as the first thing to find out. Don't estimate.

Step 2: Set the timeline

A typical shape, adjusted to what the person sets:

  1. Internal prep: support, sales, and CS briefed; help article and migration guide ready
  2. Announcement: customers told what, why, when, and what to do
  3. Reminders: at set intervals before the end date
  4. Read-only or soft stop (if applicable): still visible, can't be changed
  5. End date: removed
  6. After: data retention, handling late requests

Give real dates only if the person provides them or the end date. Otherwise, use relative timing ("announcement minus 2 weeks") and flag that dates are needed.

Step 3: Plan the messages

For each step, list the audience, channel, and message. Draft the customer announcement:

  • Lead with what's changing and the date, in the first sentence
  • Say what to do instead and link the guide
  • Give the reason honestly, in one or two sentences
  • Say who to contact
  • No euphemisms ("evolving our offering") for removing something

Step 4: Plan for stragglers

  • Who reaches out to heavy users or key accounts directly, and when
  • What happens to customers who haven't moved by the end date
  • Who can approve an exception, and the limit on exceptions

Output

# Deprecation plan: [Thing] — End date [date]
**Owner:** [person]

## Impact
[Table from Step 1]

## Timeline
| Date | Step | Audience | Channel | Owner |

## Customer announcement (draft)
[Message]

## Straggler plan
- [Steps]

## Open questions
- [Unknowns that block the plan]

Related skills

  • internal-enablement-brief — brief the teams who'll get the questions
  • pricing-packaging-change-log — when plans or prices change with it
  • feature-flag-tracking — stage the turn-off by customer group
  • decision-log — record why it's being retired

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.