Load with: base.md + (typescript.md or python.md)
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionklaviyoExecute the skills CLI command in your project's root directory to begin installation:
Fetches klaviyo from alinaqi/claude-bootstrap and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate klaviyo. Access via /klaviyo in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Load with: base.md + (typescript.md or python.md)
For integrating Klaviyo email/SMS marketing - customer profiles, event tracking, campaigns, flows, and segmentation.
Sources: Klaviyo API Docs | API Reference
| Feature | Benefit |
|---|---|
| E-commerce Native | Built for online stores, deep integrations |
| Event-Based | Trigger flows from any customer action |
| Segmentation | Advanced filtering on behavior + properties |
| Email + SMS | Unified platform for both channels |
| Analytics | Revenue attribution per campaign |
| Type | URL |
|---|---|
| Server-side (Private) | https://a.klaviyo.com/api |
| Client-side (Public) | https://a.klaviyo.com/client |
// Server-side: Private API Key
const headers = {
"Authorization": "Klaviyo-API-Key pk_xxxxxxxxxxxxxxxxxxxxxxxx",
"Content-Type": "application/json",
"revision": "2024-10-15", // API version
};
// Client-side: Public API Key (6 characters)
const publicKey = "XXXXXX"; // Company ID
// Use as query param: ?company_id=XXXXXX
| Scope | Access |
|---|---|
| Read-only | View data only |
| Full | Read + write (default) |
| Custom | Specific permissions |
npm install klaviyo-api
// lib/klaviyo.ts
import { ApiClient, EventsApi, ProfilesApi, ListsApi } from "klaviyo-api";
const client = new ApiClient();
client.setApiKey(process.env.KLAVIYO_PRIVATE_KEY!);
export const eventsApi = new EventsApi(client);
export const profilesApi = new ProfilesApi(client);
export const listsApi = new ListsApi(client);
pip install klaviyo-api
# lib/klaviyo.py
from klaviyo_api import KlaviyoAPI
klaviyo = KlaviyoAPI(
api_key=os.environ["KLAVIYO_PRIVATE_KEY"],
max_delay=60,
max_retries=3
)
// lib/klaviyo.ts
const KLAVIYO_BASE_URL = "https://a.klaviyo.com/api";
async function klaviyoRequest(
endpoint: string,
method: "GET" | "POST" | "PATCH" | "DELETE" = "GET",
body?: object
) {
const response = await fetch(`${KLAVIYO_BASE_URL}${endpoint}`, {
method,
headers: {
Authorization: `Klaviyo-API-Key ${process.env.KLAVIYO_PRIVATE_KEY}`,
"Content-Type": "application/json",
revision: "2024-10-15",
},
body: body ? JSON.stringify(body) : undefined,
});
if (!response.ok) {
const error = await response.json();
throw new Error(`Klaviyo API error: ${JSON.stringify(error)}`);
}
return response.json();
}
// Upsert profile (create or update)
async function upsertProfile(data: ProfileInput) {
return klaviyoRequest("/profiles", "POST", {
data: {
type: "profile",
attributes: {
email: data.email,
phone_number: data.phone, // E.164 format: +1234567890
first_name: data.firstName,
last_name: data.lastName,
properties: {
// Custom properties
lifetime_value: data.ltv,
plan: data.plan,
signup_source: data.source,
},
location: {
city: data.city,
region: data.state,
country: data.country,
zip: data.zip,
},
},
},
});
}
# Python
def upsert_profile(data):
return klaviyo.Profiles.create_or_update_profile({
"data": {
"type": "profile",
"attributes": {
"email": data["email"],
"first_name": data["first_name"],
"last_name": data["last_name"],
"properties": {
"plan": data.get("plan"),
}
}
}
})
async function getProfileByEmail(email: string) {
const response = await klaviyoRequest(
`/profiles?filter=equals(email,"${email}")`
);
return response.data[0];
}
async function getProfileById(profileId: string) {
return klaviyoRequest(`/profiles/$Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
ailabs-393/ai-labs-claude-skills
klaviyo has been reliable in day-to-day use. Documentation quality is above average for community skills.
klaviyo has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: klaviyo is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: klaviyo is focused, and the summary matches what you get after install.
We added klaviyo from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
klaviyo fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in klaviyo — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend klaviyo for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
klaviyo fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added klaviyo from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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