What is improve-retention?

A method for diagnosing and improving user retention, meaning whether people continue using a product over time. It examines behaviour, motivation, ability, prompts, and the point where users first see value.

Use it to investigate churn, activation, onboarding friction, cohort retention curves, and the product moment that makes users want to return.

It helps identify why users stop, rather than treating a falling retention number as the problem itself.

improve-retention — Skill for Claude Code by VandanaAjayDubey111

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add VandanaAjayDubey111/great-pm --skill improve-retention

Clone the repo

git clone --depth 1 https://github.com/VandanaAjayDubey111/great-pm

Made for: Claude Code.

Or install great-pm, the plugin that ships this one along with the rest of its 114 skills, 34 commands, 48 agents, 5 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/vandanaajaydubey111/great-pm/improve-retention/github.svg)](https://agentmods.dev/skills/vandanaajaydubey111/great-pm/improve-retention)

Your own site

<a href="https://agentmods.dev/skills/vandanaajaydubey111/great-pm/improve-retention"><img src="https://agentmods.dev/badge/skills/vandanaajaydubey111/great-pm/improve-retention/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/vandanaajaydubey111/great-pm/improve-retention"><img src="https://agentmods.dev/badge/skills/vandanaajaydubey111/great-pm/improve-retention.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 129 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,535 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00129	$0.04535
Opus 5.5	$0.00052	$0.01814
Sonnet 5.5	$0.00026	$0.00907
Haiku 4.5	$0.00013	$0.00453

Measured 29d ago against content hash 2c7ed49540dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

improve-retention scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 29d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

retention — 91% identical, 29 lines differ

plugins/great-pm/skills/improve-retention/SKILL.md · 297 lines

How it starts

The opening of the file, as written. The whole thing — 297 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codex host binding

Treat references to Claude slash workflows as the equivalently named Codex skill.
Before delegating to any specialist, read the great-pm-runtime skill and the selected packaged role file.
Treat "invoke", "assign", "delegate", "spawn", and source Agent-tool instructions as a required Codex spawn_agent call with that role and a bounded assignment.
For the spawn tool's task_name or agent_name identifier, replace canonical role-name hyphens with underscores (query-refiner-pm → query_refiner_pm). Keep canonical names unchanged in prompts, filenames, verdict logs, and user-facing output; this is an internal identifier mapping, not a role rename.
Store every returned agent identifier. Never call a wait tool until a spawn has returned an identifier, and wait only on identifiers returned by successful spawns.
If spawn_agent is unavailable or a spawn fails, report BLOCKED; do not impersonate the specialist or wait on an empty agent set.
Resolve bundled paths from the installed GreatPM plugin root.
Ignore Claude-only model aliases, colors, turn limits, and tool allowlists.
Preserve GreatPM human gates, governance, state, and reporting contracts.

Provenance. Vendored from wondelai/skills@improve-retention (MIT License — github.com/wondelai/skills). Adapted into great-pm 2026-05-29 with attribution. Reference deep-dives (references/*.md) live upstream. Host agent: product-strategist.

Behavior Design Framework

Framework for designing products that reliably change behavior. Based on a fundamental truth: behavior is not about willpower or motivation—it is a design problem with a predictable equation.

Core Principle

The Fogg Behavior Model = B=MAP. Behavior happens when Motivation, Ability, and a Prompt converge at the same moment.

            HIGH ┃
                 ┃   ★ Behavior happens
                 ┃  (above the Action Line)
                 ┃
  Motivation     ┃━━━━━━━━━━━━━━━━━━━━━━━ ← Action Line
                 ┃
                 ┃   ✗ Behavior fails
                 ┃  (below the Action Line)
            LOW  ┃
                 ┗━━━━━━━━━━━━━━━━━━━━━━━━━
                 HARD                    EASY
                        Ability

Read the full file on GitHub · 297 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

29d ago First seen · 297 lines · 129 tokens per session scan A 2c7ed49540dd

Subscribe to this mod's changes

improve-retention is a skill published in the GitHub repository VandanaAjayDubey111/great-pm (3 stars, last pushed 1mo ago), licensed MIT. It adds 129 tokens to every session and 4,535 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-21.

Analytics and metrics Design and UX LLM Multi-Agent agentic ai-agents claude-code-plugin

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improve-retention

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

Copies of this mod

How it starts

Codex host binding

Behavior Design Framework

Core Principle

What this file has done since we first saw it

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