improve-conversion

improve-conversion is a skill for Claude Code, Codex from forsvn-labs/meta-skills. It costs 67 tokens per session (525 once invoked), scanned A, original, MIT.

A method for diagnosing and improving a landing page, funnel, campaign, advertisement, message, or outreach flow.

In plain words
What is it for?
Use it to audit conversion performance, rewrite weak marketing work, prioritize opportunities, and design one test that distinguishes between possible causes.
Why use it?
It identifies where people stop—from reaching the material to understanding, trusting, acting, or receiving value—so improvements target the first meaningful problem.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the conquistador plugin — 21 skills shipped together

Good fit Use it to audit conversion performance, rewrite weak marketing work, prioritize opportunities, and design one test that distinguishes between possible causes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/forsvn-labs/meta-skills/improve-conversion
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 forsvn-labs/meta-skills --skill improve-conversion
Clone the repo
git clone --depth 1 https://github.com/forsvn-labs/meta-skills

Made for: Claude Code, Codex.

Or install conquistador, the plugin that ships this one along with the rest of its 21 skills.

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.

agentmods badge for improve-conversion

README.md
[![agentmods](https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/improve-conversion/github.svg)](https://agentmods.dev/skills/forsvn-labs/meta-skills/improve-conversion)
Your own site
<a href="https://agentmods.dev/skills/forsvn-labs/meta-skills/improve-conversion"><img src="https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/improve-conversion/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.

agentmods 80×15 button for improve-conversion

Your own site · 80×15
<a href="https://agentmods.dev/skills/forsvn-labs/meta-skills/improve-conversion"><img src="https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/improve-conversion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 525 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.00525
Opus 5 $0.00034 $0.00262
Sonnet 5 $0.00013 $0.00105
Haiku 4.5 $0.00007 $0.00052

Measured 12d ago against content hash 72017d6780bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

improve-conversion 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 12d 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.

skills/improve-conversion/SKILL.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Improve conversion performance

Return a diagnosis, revised work, and one discriminating test—not a decorative scorecard.

Establish the intended path

Identify:

  • intended audience and costly moment;
  • promise, mechanism, proof, and objection;
  • acquisition source and message expectation;
  • primary action and downstream value;
  • available exposure, behavior, conversion, revenue, retention, and qualitative evidence.

Separate missing data from zero. Treat vanity engagement as diagnostic, not business performance.

Locate the first meaningful break

  1. Reach: the right people did not encounter it.
  2. Attention: they encountered it but did not stop.
  3. Comprehension: they stopped but did not understand.
  4. Belief: they understood but did not trust the promise.
  5. Motivation: they believed it but did not care enough now.
  6. Friction: they wanted it but the next step was costly or broken.
  7. Value: they acted but the product or offer did not deliver.

Inspect audience, channel, device, geography, and customer mix before aggregating. Treat co-timed movement as correlation until evidence distinguishes causes. State the mechanism connecting each proposed cause to the observed behavior.

Prioritize a discriminating test

Name plausible alternative explanations. Choose the smallest change that produces different predictions for the leading explanations.

Define:

  • hypothesis and causal mechanism;
  • one intentional change;
  • target segment and surface;
  • primary outcome and guardrails;
  • observation window;
  • keep, revise, or kill rule.

Accept “inconclusive” when evidence cannot discriminate.

Deliver

Lead with:

  • Keep: what evidence supports retaining.
  • Drop: what is weak, harmful, or unnecessary.
  • Change: the revised message, structure, or experience.
  • Test: the highest-value uncertainty and controlled experiment.

Include the ready-to-use revision whenever the medium permits. Tie every recommendation to observed evidence, an explicit inference, or a labeled assumption. Do not claim causality or conversion lift without evidence.

Read the full file on GitHub · 70 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

  1. 12d ago First seen · 70 lines · 67 tokens per session scan A 72017d6780bf

Subscribe to this mod's changes

improve-conversion is a skill published in the GitHub repository forsvn-labs/meta-skills (14 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 525 once invoked, about $0.0003 per session on Opus 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 2026-08-30.

Related

Other skills, from other repositories

data-charts-tako

Search and visualize the world's data - get charts, insights, and embeddable knowledge cards for finance, economics, demographics, sports, and more.

gooseworks-ai/goose-skills · 35 tokens

apollo-lead-finder

Two-phase Apollo.io prospecting: free People Search to discover ICP-matching leads, then selective enrichment to reveal emails/phones (credits per contact). Creates Apollo lists. Deduplicates against existing contacts by LinkedIn URL.

gooseworks-ai/goose-skills · 51 tokens

monorepo-management

Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.

wshobson/agents · 54 tokens

browse-and-evaluate

Use when exploring the ai-agent-skills catalog to find, compare, and evaluate skills before installing. Always use --fields to limit output size and --dry-run before committing to an install.

MoizIbnYousaf/Ai-Agent-Skills · 43 tokens

render-3d-product-showcase

Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero rotation, a macro push-in, a physics reveal, a typographic close) normalized to the brand-color canvas, hard-concatenated in order, closed on a deterministic Playwright brand end card, and mixed under one instrumental bed at…

gooseworks-ai/goose-skills · 159 tokens

render-airdrop-carousel

Assemble a viral iOS "AirDrop" notification-carousel video ad (≈6–8s, 9:16) from a brand line plus 6–16 real product photos — a native AirDrop share-sheet card ("Brand would like to share a · Decline / Accept") springs up and its preview window CYCLES through the products, landing on a range/lineup payoff with an…

gooseworks-ai/goose-skills · 207 tokens