conversion-optimization
Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onboarding - to a measured, tested funnel.
Skill by wondelai
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Use cases: design, data, security
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What's inside
- Skill name
conversion-optimization- Description
- Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onboarding - to a measured, tested funnel. Orchestrates six skills phase by phase - lean-analytics, cro-methodology, storybrand-messaging, hundred-million-offers, influence-psychology, design-everyday-things - each phase carries its full method inline so it runs standalone, asking the user questions at every decision point and recording results in the project docs/ folder (FUNNEL.md, METRICS.md, EXPERIMENTS.md, CONVERSION-OPTIMIZATION-PLAN.md) so the journey resumes across sessions. Use when the user wants to raise conversion on a specific flow, fix checkout or signup abandonment, diagnose onboarding drop-off, or says 'people start but never finish'. With no site yet, use create-website; for a whole-site look, message, and speed audit, improve-website; if the flow converts but needs traffic, grow-website; for in-product engagement and retention, improve-app. For one framework in isolation, invoke that skill directly.
- License
- MIT
- Metadata
- author: wondelai · version: 1.0.0
- Instructions
- 245 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- artifact-templates.md · references/
- methods.md · references/
SKILL.md (first lines)
# Conversion Optimization
Turn one leaking conversion flow — a landing page, a signup, a checkout, an in-app onboarding — into a
measured, tested funnel. This is an interactive, resumable journey of seven phases: the agent asks
before every decision and records the outcome in your project's `docs/` folder, so you can stop after
any phase and pick up later. It works on websites and inside products alike; the unit of work is the
flow and its ONE action, not the whole site.
## Core Principle
**Find the leak with numbers, learn the reason from customers, fix message → offer → proof → friction
in that order, and prove every fix with a pre-committed test.** The order is causal: a number tells
you *where*, only research tells you *why*, motivation must be raised before friction-cutting pays,
and an untested fix is a guess that compounds. This skill sequences the phases, asks the decision
questions, and records every choice in `docs/`. The constituent skills carry the method — invoke them
rather than improvising their frameworks.
## Journey Map
| Phase | Skill | Question it answers | Artifact |
|---|---|---|---|
| 1 | lean-analytics | Where does the flow actually leak, and what is the one metric? | Extends docs/METRICS.md — GATE |
| 2 | cro-methodology | Why do people drop at the leak — which objections and friction? | Creates docs/FUNNEL.md; extends docs/EXPERIMENTS.md — GATE |
| 3 | storybrand-messaging | Does the leaking step promise the visitor's own desired outcome in five seconds? | Extends docs/POSITIONING.md + docs/FUNNEL.md + docs/EXPERIMENTS.md |
| 4 | hundred-million-offers | Is the offer at the conversion point worth acting on now? | Extends docs/OFFER.md + docs/EXPERIMENTS.md |
| 5 | influence-psychology | Is there honest proof at every point of doubt? | Extends docs/FUNNEL.md + docs/EXPERIMENTS.md |
| 6 | design-everyday-things | Can a visitor who decided to act complete the flow without stumbling? | Extends docs/FUNNEL.md + docs/DESIGN.md + docs/EXPERIMENTS.md |
| 7 | cro-methodology | Will we know the fix worked — pre-committed metric, sample size, no peeking? | Extends docs/EXPERIMENTS.md + docs/METRICS.md |
## Operating Rules
1. **Resume first.** Before anything else, read `docs/CONVERSION-OPTIMIZATION-PLAN.md` and every artifact in the Journey Map. If the tracker exists, summarize the journey state in 3-5 lines and ask which phase to enter. Done when the user has confirmed an entry point. A journey with a tracker is resumed, never restarted.
2. **Intake on first run only.** No tracker: run the Intake below, then create `docs/CONVERSION-OPTIMIZATION-PLAN.md` with every phase statused `pending | in-progress | awaiting-evidence | done | deferred: reason | skipped: reason`. Done when the tracker exists and the user has confirmed the phase plan.
3. **Phase entry.** Announce: what the phase does, the decision it forces, the artifact it produces, rough effort. Offer proceed / skip / defer — phases marked GATE may be deferred, never skipped. Mark the phase `in-progress` on proceed. Done when the user chose.
4. **Skill invocation and fallback.** Load the phase's skill and use it: each phase's Invoke line names the skill by slug — use that skill to run the phase. If it is not available, offer: `npx skills add wondelai/skills/<slug> --global`. If the user declines, run the phase from its Brief — the minimum viable method. State which mode you are in.
5. **In-phase decisions.** Ask every question under "Decide with the user" — with concrete options and your recommendation. Record the choice in the tracker's Key Decisions. A decision made silently is a defect.
6. **Phase exit.** Present the draft artifact content for sign-off before writing. On approval: write or extend the docs/ files, update the tracker (status, Key Decisions, Next Actions). Done when the files are written and the phase row shows `done`.
7. **Artifact discipline.** Read before writing; create a file only if missing, otherwise extend — add or update your sections, preserve everyone else's. Files are UPPERCASE in `docs/`. Every recommendation lands as a checkbox or a table row with owner and priority. See [references/artifact-templates.md](references/artifact-templates.md) when creating a docs/ file for the first time — create it from the full skeleton (all section headings), then fill the sections your phase names.
8. **Measure, research, then change — and every change is a test.** No fix ships without a Phase 1 leak and a Phase 2 researched reason behind it, and every shipped change lands in docs/EXPERIMENTS.md with a pre-committed primary metric and a guardrail. A fix with no research behind it goes back to Phase 2; a bold change with no test attached stays in the backlog until it has one.
## Intake
Ask these before creating the tracker:
1. **Which flow are we optimizing, and what is the ONE action at its end?** (Scopes every phase — a flow with three competing CTAs has no goal.)
2. **Where do the numbers say people drop** — analytics, funnel steps, cohort data? Paste what you have. (Feeds the Phase 1 leak diagnosis; no instrumentation means Phase 1 starts by adding it.)
3. **Roughly how much traffic or volume enters the flow per week?** (Gates Phase 7 — decides whether A/B tests can reach significance or the journey leans on qualitative evidence and before/after windows.)
4. **What voice-of-customer sources exist or can be gotten** — exit surveys, session recordings, support tickets, sales calls, reviews — and can you paste or export the raw text of the best one? (Phase 2 objections must quote the customer's own words, so the phase needs the content, not just the source name.)
5. **What is the current offer at the conversion point** — price, guarantee, bonuses — and can it change? (Gates Phase 4; a contractually fixed offer narrows it to presentation.)
6. **Do docs/POSITIONING.md or docs/OFFER.md already exist from another journey?** (Phases 3-4 build on them rather than restarting.)
7. **How much of the journey do you want now?** (Phases 1-2 are the mandatory diagnosis; 3-6 are the fix passes aimed by it; 7 turns fixes into proof.)
Skip heuristics: skip Phase 3 when messaging was already validated (e.g. an improve-website journey completed its message phases); skip Phase 4 when the offer is fixed by contract — record `skipped: reason`. Phase 7 may be `deferred: reason` at very low traffic in favor of before/after evidence with an explicit revert trigger, never silently skipped. Never skip Phases 1-2 — an unfound leak and an unresearched reason turn every later phase into guessing.
Then create `docs/CONVERSION-OPTIMIZATION-PLAN.md` from the template and confirm the plan. Done when the tracker exists with every phase statused and the user has confirmed the plan.
## Phases
Phases run in the listed order — each assumes the previous phase's artifact exists. Any phase can be entered, skipped, or deferred per the Operating Rules, but Phases 1-2 gate them all: nothing downstream fixes a problem that isn't a measured leak with a researched reason. When running any phase from its Brief (constituent skill not installed), read [references/methods.md](references/methods.md) first — it carries each phase's full method, checklists, formulas, and benchmarks; the Brief is only the summary.
### Phase 1 — Find the leak (lean-analytics) — GATE
**Purpose:** Locate where the flow actually loses people and pick the one metric this journey moves — before any opinion about why.
**Brief (fallback):** A good metric is a comparative ratio that changes what you do next; totals and
cumulative charts are vanity. Express each step of the flow as a conversion rate, compare against your
own history and published benchmarks (e-commerce converts ~1-3% of visitors; landing pages on paid
traffic low single digits), and find the biggest absolute drop on the highest-value path. Pick the One
Metric That Matters for this journey, pair it with a counter-metric so it can't be gamed (signup rate
× 30-day retention), and draw a line in the sand: target, date, pre-committed miss response. Cohort
and segment (channel, device, plan) — one collapsing segment hides inside a flat average.
**Invoke:** Use the `lean-analytics` skill with the flow steps and analytics from intake. Ask for a step-by-step funnel table with baselines and benchmarks, the OMTM plus counter-metric for this journey, and the biggest leak ranked by absolute lost value.
**Decide with the user:** (1) Confirm the OMTM and its counter-metric. (2) Which leak to attack first — biggest absolute loss on the money path, not the easiest percentage. (3) If instrumentation is missing, which minimal events to add first — the phase stays `awaiting-evidence` until the numbers exist.
**Artifact:** Extend docs/METRICS.md `## Funnel` (stage | conversion | benchmark | bottleneck?), `## Stage & One Metric That Matters`, and `## Baselines & Targets`. Update the tracker.
**Done when:** the funnel is measured at the coarsest granularity that still localizes the leak to a single step, the OMTM and counter-metric are recorded with a line in the sand, and the leak is named — only then are Phases 2-7 unlocked. Finer sub-steps awaiting instrumentation stay `awaiting-evidence` in Next Actions and do not block the journey, provided the named leak does not depend on them.
### Phase 2 — Research why they leave (cro-methodology) — GATE
**Purpose:** Replace guesses about the leak with evidence from real visitors. Phases 3-6 may only fix problems traceable to a finding here.
**Brief (fallback):** Don't guess — discover. Mine primary sources (a one-question exit survey:
"What's preventing you from [action] today?"; post-conversion: "What almost stopped you?"; chat logs,
tickets, sales calls) and secondary sources (reviews, competitors) for the customer's own words. Sort
objections into the Big 5 — Trust, Price, Fit, Timing, Effort — and build the O/CO table: every
objection gets an evidence-backed counter placed at the exact step the doubt arises, never in an FAQ.
Diagnose each step with the LIFT lenses (value proposition ± clarity, relevance, urgency, minus
anxiety and distraction — Goward) and the MECLABS heuristic (conversion rises with motivation and
value clarity, falls with friction and anxiety). Rank fix hypotheses by ICE and apply the 10x screen:
if a change couldn't plausibly double the step, don't queue it.
**Invoke:** Use the `cro-methodology` skill with the Phase 1 leak, the flow, and the voice-of-customer sources from intake. Ask for the researched objection list in customer words, the O/CO table with placements, missing persuasion assets, and an ICE-ranked hypothesis backlog.
**Decide with the user:** (1) Which researched objection is the primary leak driver. (2) Low traffic: accept qualitative plus heuristic evidence — explicitly. (3) Which implicit objections need CO-Only counters (countered without being stated).
**Artifact:** Create docs/FUNNEL.md with `## Flow Map & ONE Action`, `## Leak Diagnosis`, and `## Objections & Counters (O/CO)`; extend docs/EXPERIMENTS.md `## Experiment Backlog` (ICE-ranked). METRICS.md `## Funnel` stays canonical for the conversion numbers — Leak Diagnosis cites them and adds the researched reason and severity. Update the tracker.
**Done when:** the flow map names the ONE action per step, every researched objection has an evidence-backed counter and a placement, and the backlog is ICE-ranked.
### Phase 3 — Fix the message at the leak (storybrand-messaging)
**Purpose:** Make the leaking step say what the visitor gets, in their words, in five seconds — clarity converts before persuasion can.
**Brief (fallback):** The customer is the hero; you are the guide. Run SB7 on the leaking step: a
Character who wants one thing, their Problem at three levels (external, internal — the frustration the
copy must name, philosophical), you as the Guide (empathy + authority), a 3-step Plan that makes
acting feel safe, one Direct plus one Transitional CTA, and named failure/success stakes. Rewrite the
step's headline in customer language pulled straight from Phase 2 — customer words outperform
copywriter words. Then make it stick (Made to Stick): concrete beats abstract ("save 16 hours a
month," not "boost productivity"), and pick the single Commander's Intent message the visitor must
still remember tomorrow.
**Invoke:** Use the `storybrand-messaging` skill with the step's current copy, the Phase 2 objection evidence, and POSITIONING.md if it exists. Ask for above-the-fold rewrites that name the internal problem, a one-liner, and one Direct plus one Transitional CTA.
**Decide with the user:** Which rewrite passes the 5-second test (a stranger can say what's offered and why it matters); which internal problem the copy names; whether the step keeps a transitional CTA or goes single-CTA.From wondelai/skills, MIT.
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Signals
- Stars
- 2,503
- Forks
- 250
- Open issues
- 6
- Last commit (this folder)
- Aug 28, 2026 (2 months ago)
- Last release
- Aug 29, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0.0
- License
- MIT
- Repository
- github.com/wondelai/skills
- Website
- skills.wondel.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
conversion-optimization skill. Agent Mart. https://agentmart.dev/skills/wondelai-conversion-optimization-8797df (last updated 2026-10-24)