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Agent skill

Retention

by cbrock84 in cbrock84/headcount

Diagnoses and reduces churn — cancellation flows, save offers, failed-payment recovery, at-risk detection, and the product and service causes underneath.

MITAuto-check passedMarketing & SEO

Install Retention

skills CLI
$ npx skills add cbrock84/headcount --skill retention -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install cbrock84/headcount retention --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/cbrock84/headcount.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/revenue/skills/retention .claude/skills/retention && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
retention
GitHub stars
2k
Token cost
~772 tokens
SKILL.md length
406 words
Files
2 (incl. references)
Skills in repo
178
Repo updated
First seen
Licence
MIT

At a glance

Diagnoses and reduces churn — cancellation flows, save offers, failed-payment recovery, at-risk detection, and the product and service causes underneath.

  • Tasks that involve Referral and retention marketing
  • SKILL.md covers Separate the two churns first, Diagnosing voluntary churn, Cancellation flow and At-risk detection, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Retention is an agent skill from cbrock84/headcount. Diagnoses and reduces churn — cancellation flows, save offers, failed-payment recovery, at-risk detection, and the product and service causes underneath. Use this when churn is rising or unexplained, to design a cancellation or win-back flow, to recover involuntary churn, to identify at-risk accounts before they leave, or to decide whether a retention problem is a product problem.

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/sources.md`).

It sits in Marketing & SEO, covering Referral and retention marketing. The repository describes itself as: An agent organization structured as a company — 15+ departments, 125+ skills, each independently installable, citing the standards and regulators that settle the question. Runs… The licence is MIT.

When your agent uses it

  • Tasks that involve Referral and retention marketing

Example prompts

  • “Use the retention skill to diagnose and reduces churn — cancellation flows, save offers, failed-payment recovery, at-risk detection, and the product…”
  • “/retention”

What it can do on your machine

Read from SKILL.md and the folder at commit 98d1c17. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Retention loads about 772 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 98 tokens; SKILL.md has 406 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
When it runs · the whole SKILL.md, loaded when a task matches
~772
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from cbrock84/headcount at commit 98d1c17, republished under its MIT licence (© cbrock84). 406 words, ~772 tokens.

Download SKILL.mdSave it as .claude/skills/retention/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
retention
description
Diagnoses and reduces churn — cancellation flows, save offers, failed-payment recovery, at-risk detection, and the product and service causes underneath. Use this when churn is rising or unexplained, to design a cancellation or win-back flow, to recover involuntary churn, to identify at-risk accounts before they leave, or to decide whether a retention problem is a product problem.

Retention

Separate the two churns first

They have nothing in common but the outcome, and conflating them wastes effort:

  • Involuntary — payment failed. Often a large share of total churn, entirely mechanical, and the cheapest thing to fix in the whole business.
  • Voluntary — they chose to leave.

Fix involuntary first. Card retries on a sensible schedule, dunning emails that reach a human, pre-expiry notification, and a grace period that does not immediately cut off access. This is recoverable revenue sitting untouched in most companies.

Diagnosing voluntary churn

Ask when the decision was actually made. It is almost never at cancellation — it is weeks earlier, at a failed expectation, an unresolved support issue, or a champion leaving.

Segment churn by tenure, plan, acquisition channel, and activation status. Concentrations tell you the cause:

  • Early churn — activation problem, not retention. Fix onboarding.
  • Churn at renewal — value not visible enough to justify the line item.
  • Churn after a specific event — find the event: a price change, an outage, a redesign, a champion departure.
  • Churn concentrated in one channel — an acquisition problem. You are buying the wrong customers, and no retention work fixes that.

Cancellation flow

Make canceling straightforward. Obstruction generates chargebacks, public complaints, and in a growing number of jurisdictions, regulatory exposure.

Do ask why, with specific options plus free text — this is the highest-quality product feedback you will ever receive, from people with no reason to be polite.

Offer a save only where it addresses the stated reason. A discount offered to someone leaving because a feature is missing confirms you were not listening. Pause is often the better offer and is rarely available.

Show full SKILL.md (136 more words)Show less

At-risk detection

Build a simple signal from declining usage, a support escalation, a champion going quiet, or a seat count dropping. Then act on it while intervention is still possible — a health score nobody works is a dashboard, not a program.

Sources

references/sources.md in this skill lists the outside authorities that settle the questions here — what each one is authoritative for, and what you may do with it. Check them before answering on anything they cover, and cite what you used. Most are free to read and not free to reproduce; the use note on each is binding.

Never

  • Count a saved cancellation as retained without checking whether they stayed a quarter later.
  • Treat retention as a service problem when the data says it is a product or acquisition problem.
  • Make cancellation require a phone call.

© cbrock84, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in plugins/revenue/skills/retention of cbrock84/headcount.

  • SKILL.md
  • references/sources.md

Open the folder on GitHubat commit 98d1c17

Compare with similar skills

Retention next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Retention compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Retention this skillcbrock84/headcount2k—~772Automated safety check: PassMIT
Referralscoreyhaines31/marketingskills54k2 repos~2.6kAutomated safety check: PassMIT
Referral Programfreekmurze/dotfiles1k17 repos~1.8kAutomated safety check: PassNone
Churn Preventionrongxinzy/RongxinAI1543 repos~2.6kAutomated safety check: PassMIT
100m Leadsgetagentseal/founder-playbook729—~2.3kAutomated safety check: PassMIT
Churn Preventionfreekmurze/dotfiles1k13 repos~4.4kAutomated safety check: PassNone

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Categories

Questions about Retention

What does Retention do?

Diagnoses and reduces churn — cancellation flows, save offers, failed-payment recovery, at-risk detection, and the product and service causes underneath. Retention is an agent skill from cbrock84/headcount. Diagnoses and reduces churn — cancellation flows, save offers, failed-payment recovery, at-risk detection, and the product and service causes underneath.

When should I use Retention?

Retention fits situations like: tasks that involve Referral and retention marketing.

How do I install Retention in Claude Code?

Run `npx skills add cbrock84/headcount --skill retention -a claude-code`. Or copy the skill folder (plugins/revenue/skills/retention in cbrock84/headcount) into .claude/skills/retention in your project. Claude Code loads it when a task matches its description.

How do I install Retention in Codex?

Run `npx skills add cbrock84/headcount --skill retention -a codex`. Or copy the skill folder (plugins/revenue/skills/retention in cbrock84/headcount) into .agents/skills/retention in your project. Codex loads it when a task matches its description.

Can I use Retention in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cbrock84/headcount --skill retention -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/retention, .gemini/skills/retention, .github/skills/retention and .opencode/skills/retention in your project.

What does Retention need to run?

SKILL.md names no scripts, command-line tools or credentials: Retention is instructions for the agent only.

Does Retention access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Retention safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Retention use?

Retention is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Retention use?

About 772 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 398 tokens, read only when the agent opens those files.

What are the alternatives to Retention?

Skills that share tags, products or a category with Retention: Referrals (coreyhaines31/marketingskills, 54k stars), Referral Program (freekmurze/dotfiles, 1k stars), Churn Prevention (rongxinzy/RongxinAI, 154 stars) and 100m Leads (getagentseal/founder-playbook, 729 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Retention?

cbrock84 (a GitHub user) maintains it in cbrock84/headcount, which has 2,016 GitHub stars. The repository holds 178 skills in this directory. The repository was last updated on September 17, 2026.

Source: cbrock84/headcount on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.