linktree-core-workflow-b
Execute Linktree secondary workflow: Analytics & Insights. Trigger: "linktree analytics & insights", "secondary linktree workflow".
Best use case
linktree-core-workflow-b is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Execute Linktree secondary workflow: Analytics & Insights. Trigger: "linktree analytics & insights", "secondary linktree workflow".
Teams using linktree-core-workflow-b should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/linktree-core-workflow-b/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How linktree-core-workflow-b Compares
| Feature / Agent | linktree-core-workflow-b | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Execute Linktree secondary workflow: Analytics & Insights. Trigger: "linktree analytics & insights", "secondary linktree workflow".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Linktree — Analytics & Reporting
## Overview
Pull click tracking data, measure conversion rates, and extract audience insights from
your Linktree profile. Use this workflow when you need to understand which links drive
traffic, where your audience comes from, and how engagement trends over time. This is
the secondary workflow — for link creation and profile management, see
`linktree-core-workflow-a`.
## Instructions
### Step 1: Fetch Overall Profile Analytics
```typescript
const analytics = await client.analytics.get({
profile_id: profile.id,
period: 'last_30_days',
granularity: 'daily',
});
console.log(`Total views: ${analytics.views}`);
console.log(`Total clicks: ${analytics.clicks}`);
console.log(`CTR: ${(analytics.clicks / analytics.views * 100).toFixed(1)}%`);
analytics.daily.forEach(d =>
console.log(` ${d.date}: ${d.views} views, ${d.clicks} clicks`)
);
```
### Step 2: Rank Per-Link Performance
```typescript
const linkStats = await client.analytics.byLink({
profile_id: profile.id,
period: 'last_7_days',
sort: 'clicks_desc',
});
linkStats.forEach((s, i) =>
console.log(`#${i + 1} ${s.title}: ${s.clicks} clicks (${s.unique_visitors} unique, CTR ${s.ctr}%)`)
);
```
### Step 3: Pull Audience Demographics
```typescript
const audience = await client.analytics.audience({
profile_id: profile.id,
period: 'last_30_days',
});
console.log('Top locations:', audience.locations.slice(0, 5).map(l => `${l.country}: ${l.pct}%`));
console.log('Top referrers:', audience.referrers.slice(0, 5).map(r => `${r.source}: ${r.visits}`));
console.log('Devices:', `Mobile ${audience.devices.mobile}% / Desktop ${audience.devices.desktop}%`);
```
### Step 4: Generate a Conversion Report
```typescript
const report = await client.analytics.report({
profile_id: profile.id,
period: 'last_30_days',
metrics: ['views', 'clicks', 'ctr', 'unique_visitors', 'top_referrers'],
format: 'json',
});
console.log(`Report period: ${report.start_date} to ${report.end_date}`);
console.log(`Highest CTR link: ${report.top_link.title} (${report.top_link.ctr}%)`);
console.log(`Total unique visitors: ${report.unique_visitors}`);
```
## Error Handling
| Issue | Cause | Fix |
|-------|-------|-----|
| `401 Unauthorized` | Expired or invalid bearer token | Re-authenticate via OAuth flow |
| `403 Analytics unavailable` | Free-tier profile without analytics | Upgrade to Pro plan for analytics access |
| `404 Profile not found` | Wrong profile_id | Verify with `client.profiles.list()` |
| `422 Invalid period` | Unsupported date range format | Use `last_7_days`, `last_30_days`, or ISO dates |
| Empty daily array | Profile has zero traffic in range | Widen the date range or verify profile is published |
## Output
A successful workflow produces daily view/click time series, a ranked list of link
performance with CTR, audience demographics broken down by location, referrer, and
device type, and a summary conversion report identifying top-performing links.
## Resources
- [Linktree Developer Docs](https://linktr.ee/marketplace/developer)
## Next Steps
See `linktree-sdk-patterns` for OAuth setup and rate-limit handling.Related Skills
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