Agent skill

Retention Loop Design

by mohitagw15856 in mohitagw15856/pm-claude-skills

Design retention and engagement loops that bring users back.

MITAuto-check passed

Install Retention Loop Design

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill retention-loop-design -a claude-code

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

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills retention-loop-design --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/retention-loop-design .claude/skills/retention-loop-design && 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-loop-design
GitHub stars
1.4k
Token cost
~1k tokens
SKILL.md length
509 words
Files
1
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

Design retention and engagement loops that bring users back.

  • Asked to improve retention
  • SKILL.md covers Required Inputs, Output Format, Quality Checks and Anti-Patterns, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Design an engagement/habit loop

What it does

Retention Loop Design is an agent skill from mohitagw15856/pm-claude-skills. Design retention and engagement loops that bring users back. Use when asked to improve retention, design an engagement/habit loop, fix a leaky retention curve, or build a re-engagement system. Produces a retention design — the retention curve diagnosis, the core habit loop (trigger→action→reward→investment), the activation→habit path, re-engagement triggers, and the metrics to watch.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

  • Asked to improve retention
  • Design an engagement/habit loop
  • Fix a leaky retention curve
  • Build a re-engagement system

Example prompts

  • “/retention-loop-design”

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. 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 Loop Design loads about 1k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 509 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~1k

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 mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 509 words, ~1,013 tokens.

Download SKILL.mdSave it as .claude/skills/retention-loop-design/SKILL.md (or your agent's skills folder).
name
retention-loop-design
description
Design retention and engagement loops that bring users back. Use when asked to improve retention, design an engagement/habit loop, fix a leaky retention curve, or build a re-engagement system. Produces a retention design — the retention curve diagnosis, the core habit loop (trigger→action→reward→investment), the activation→habit path, re-engagement triggers, and the metrics to watch.

Retention Loop Design Skill

Acquisition without retention is a leaky bucket — you pay to fill it and it drains. This skill diagnoses where and why users drop, then designs the loop that makes the product habitual: the trigger that brings them back, the value they get, and the investment that makes the next visit more likely. Retention is the truest measure of product-market fit.

Required Inputs

Ask for these only if they aren't already provided:

  • The retention curve — how usage decays over time (D1/D7/D30, or weekly cohorts); does it flatten or go to zero?
  • The core value & natural frequency — what users come for, and how often they'd genuinely need it.
  • Activation definition — the early action that correlates with sticking (or note it's unknown).
  • Current loops — any notifications, streaks, or re-engagement already in place.

Output Format

Retention Design: [product]

1. Curve diagnosis — read the retention curve: does it flatten (a retained core exists — good) or decay to zero (no PMF for this segment)? Identify the drop-off point and the cohort that retains best (your beachhead).

2. Activation → habit — the early "setup moment" and the habit milestone (e.g. "3 sessions in week 1"); the shortest path to it, since activation is the strongest lever on long-term retention.

3. The core loop — design the engagement loop explicitly:

  • Trigger — external (notification, email) and the internal trigger you want to own (the felt need).
  • Action — the simplest behaviour that delivers value.
  • Reward — the value/variable reward received.
  • Investment — what the user puts in (data, content, social, configuration) that makes the next loop better and raises switching cost.

4. Natural frequency match — align the loop's cadence to how often the job actually recurs; don't manufacture engagement the product doesn't warrant.

5. Re-engagement — triggered winback for users sliding toward churn (behavioural signal → message → return path); pair with lifecycle-crm-plan.

6. Metrics — the retention metric and cohort view to watch, plus the leading indicator (habit-milestone rate) that predicts it.

Show full SKILL.md (190 more words)Show less

Quality Checks

  • The retention curve is diagnosed as flattening vs. decaying — that determines whether to fix retention or fix fit first
  • Activation/habit milestone is defined and tied to long-term retention
  • The loop names a trigger, action, reward, AND investment (the investment is what compounds)
  • Loop cadence matches the product's natural frequency — no manufactured engagement
  • A leading indicator (not just lagging retention) is identified to act on early

Anti-Patterns

  • Do not optimise retention before the curve flattens for some segment — if it decays to zero there's no PMF to retain, fix that first
  • Do not bolt on streaks/badges without a real reward — gamification on a product with no core value just annoys
  • Do not spam notifications to force engagement — manufactured frequency drives uninstalls and erodes trust
  • Do not ignore the investment phase — without stored value/data, there's nothing raising the cost of leaving
  • Do not report only average retention — cohorts and the best-retaining segment tell you where to aim

Based On

The Hook Model (Nir Eyal) and cohort-retention analysis practice (flattening curve = PMF signal).

Example Trigger Phrases

  • "Improve retention."
  • "Design an engagement/habit loop."
  • "Fix a leaky retention curve."
  • "Build a re-engagement system."

© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/retention-loop-design of mohitagw15856/pm-claude-skills.

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Retention Loop Design 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 Loop Design compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Retention Loop Design this skillmohitagw15856/pm-claude-skills1.4k—~1kAutomated safety check: PassMIT
Loopalirezarezvani/claude-skills28k1 repos~1.1kAutomated safety check: PassMIT
Autonomous Loopsaffaan-m/ECC276k4 repos~5.8kAutomated safety check: PassMIT
Designing Adversary Engagement With Mitre Engagemukul975/Anthropic-Cybersecurity-Skills34k—~3kAutomated safety check: PassApache-2.0
Retention EngagementRefoundAI/lenny-skills1.4k—~1.3kAutomated safety check: PassMIT
Loopasgeirtj/system_prompts_leaks69k—~2.2kAutomated safety check: WarnCC0-1.0

Similar skills

  • Loop

    alirezarezvani/claude-skills

    Start an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly).

    28k GitHub starsUsed in 1 repo~1.1k tokens
    Agent WorkflowsAuto-check passed
  • Autonomous Loops

    affaan-m/ECC

    Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.

    276k GitHub starsUsed in 4 repos~5.8k tokens
    Agent WorkflowsAuto-check passed
  • Designing Adversary Engagement With Mitre Engage

    mukul975/Anthropic-Cybersecurity-Skills

    Plan, run, and measure an adversary engagement operation using the MITRE Engage framework so that deployed deception is driven by strategy instead of deployed ad hoc.

    34k GitHub stars~3k tokensUpdated 1 mo ago
    DevOps & CloudAuto-check passed
  • Retention Engagement

    RefoundAI/lenny-skills

    Help users identify the drivers of long-term retention and implement behavioral mechanics that keep customers coming back.

    1.4k GitHub stars~1.3k tokensUpdated 2 mo ago
    Auto-check passed
  • Loop

    asgeirtj/system_prompts_leaks

    Run a prompt or slash command on a recurring interval (e.g. An agent skill from asgeirtj/system_prompts_leaks.

    69k GitHub stars~2.2k tokensUpdated yesterday
    Agent WorkflowsAuto-check: warnings
  • Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.

    276k GitHub starsUsed in 5 repos~298 tokens
    Agent WorkflowsAuto-check passed

More from mohitagw15856/pm-claude-skills

All 1,348 skills in this repo
  • Car Tco

    mohitagw15856/pm-claude-skills

    Compare the total cost of car ownership across buy-new, buy-used, lease, and keep-your-current-car — depreciation, insurance, maintenance ramp, and fuel over a real horizon, not just the monthly…

    1.4k GitHub stars~1.1k tokensUpdated yesterday
    Auto-check passed
  • Cs Health Scorecard

    mohitagw15856/pm-claude-skills

    Build a customer health scorecard for a specific account. An agent skill from mohitagw15856/pm-claude-skills.

    1.4k GitHub stars~2.4k tokensUpdated yesterday
    Auto-check passed
  • Exit Waterfall

    mohitagw15856/pm-claude-skills

    Compute who gets what at each exit price from a cap table — liquidation preferences, conversion points, and where the founders' share collapses.

    1.4k GitHub stars~1.1k tokensUpdated yesterday
    Auto-check passed
  • Feature Prioritisation

    mohitagw15856/pm-claude-skills

    Apply prioritisation frameworks (RICE, MoSCoW, Kano, ICE, Opportunity Scoring) to rank features and backlog items.

    1.4k GitHub stars~2k tokensUpdated yesterday
    Auto-check passed
  • Fire Number

    mohitagw15856/pm-claude-skills

    Compute a financial-independence (FIRE) target and years-to-reach with every assumption labeled as an assumption — plus a sensitivity table instead of a single false-precision answer.

    1.4k GitHub stars~1.1k tokensUpdated yesterday
    Auto-check passed
  • Freelance Rate

    mohitagw15856/pm-claude-skills

    Derive a freelance day/hourly rate backwards from target income, honest billable utilization, overhead, and the self-employment tax premium — the arithmetic that proves a rate is not salary÷2000.

    1.4k GitHub stars~1.2k tokensUpdated yesterday
    Auto-check passed

Questions about Retention Loop Design

What does Retention Loop Design do?

Design retention and engagement loops that bring users back. Retention Loop Design is an agent skill from mohitagw15856/pm-claude-skills. Design retention and engagement loops that bring users back.

When should I use Retention Loop Design?

Retention Loop Design fits situations like: asked to improve retention; design an engagement/habit loop; fix a leaky retention curve; build a re-engagement system.

How do I install Retention Loop Design in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill retention-loop-design -a claude-code`. Or copy the skill folder (skills/retention-loop-design in mohitagw15856/pm-claude-skills) into .claude/skills/retention-loop-design in your project. Claude Code loads it when a task matches its description.

How do I install Retention Loop Design in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill retention-loop-design -a codex`. Or copy the skill folder (skills/retention-loop-design in mohitagw15856/pm-claude-skills) into .agents/skills/retention-loop-design in your project. Codex loads it when a task matches its description.

Can I use Retention Loop Design 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 mohitagw15856/pm-claude-skills --skill retention-loop-design -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-loop-design, .gemini/skills/retention-loop-design, .github/skills/retention-loop-design and .opencode/skills/retention-loop-design in your project.

What does Retention Loop Design need to run?

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

Does Retention Loop Design 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 Loop Design 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 Loop Design use?

Retention Loop Design 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 Loop Design use?

About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Retention Loop Design?

Skills that share tags, products or a category with Retention Loop Design: Loop (alirezarezvani/claude-skills, 28k stars), Autonomous Loops (affaan-m/ECC, 276k stars), Designing Adversary Engagement With Mitre Engage (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and Retention Engagement (RefoundAI/lenny-skills, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Retention Loop Design?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,433 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 8, 2026.

Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.