Official agent skill

Server Side Conversion Tracking

by github in github/awesome-copilot

Set up server-side conversion tracking so purchases are reported accurately to Facebook, TikTok, Google and Bing despite iOS restrictions, ad blockers and cookie loss.

OfficialMITAuto-check passedMarketing & SEO

Install Server Side Conversion Tracking

skills CLI
$ npx skills add github/awesome-copilot --skill server-side-conversion-tracking -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install github/awesome-copilot server-side-conversion-tracking --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/server-side-conversion-tracking .claude/skills/server-side-conversion-tracking && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
server-side-conversion-tracking
GitHub stars
40k
Used in
1 other repo
Token cost
~2k tokens
SKILL.md length
1,044 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Set up server-side conversion tracking so purchases are reported accurately to Facebook, TikTok, Google and Bing despite iOS restrictions, ad blockers and cookie loss.

  • Works in 6 steps: 2: capture and persist → carry across steps → attach to the order → …
  • Conversions are under-reported
  • SKILL.md covers When to use, The model, in the order it…, What server-side tracking does… and Implementing it
  • Calls docker

What it does

Server Side Conversion Tracking is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Set up server-side conversion tracking so purchases are reported accurately to Facebook, TikTok, Google and Bing despite iOS restrictions, ad blockers and cookie loss. Use when conversions are under-reported, when platform-reported purchases do not match real orders, when asked about Conversions API / Events API / offline conversions / CAPI, click id passthrough (fbclid, ttclid, gclid, msclkid), or when ad optimization has degraded after tracking changes.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Marketing analytics and Backend development. It works with iOS and TikTok. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

When your agent uses it

  • Conversions are under-reported
  • Platform-reported purchases do not match real orders
  • Asked about Conversions API / Events API / offline conversions / CAPI
  • Click id passthrough (fbclid

Example prompts

  • “/server-side-conversion-tracking”

Requirements

  • Docker

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. 2: capture and persist
  2. carry across steps
  3. attach to the order
  4. report server-to-server
  5. dedupe
  6. verify

What it can do on your machine

Read from SKILL.md and the folder at commit 727ff2e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • docker

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Server Side Conversion Tracking loads about 2k tokens when it runs. Until then it costs about 123 tokens; SKILL.md has 1,044 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~123
When it runs · the whole SKILL.md, loaded when a task matches
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 1,044 words, ~2,042 tokens.

Download SKILL.mdSave it as .claude/skills/server-side-conversion-tracking/SKILL.md (or your agent's skills folder).
name
server-side-conversion-tracking
description
Set up server-side conversion tracking so purchases are reported accurately to Facebook, TikTok, Google and Bing despite iOS restrictions, ad blockers and cookie loss. Use when conversions are under-reported, when platform-reported purchases do not match real orders, when asked about Conversions API / Events API / offline conversions / CAPI, click id passthrough (fbclid, ttclid, gclid, msclkid), or when ad optimization has degraded after tracking changes.

Server-Side Conversion Tracking

Browser pixels lose a large and unpredictable share of conversions to iOS tracking prevention, ad blockers, cookie lifetime limits and cross-domain hops. Server-side reporting fixes the reporting, which is what the ad platform's bidding model learns from. This skill covers the model, the setup order and how to verify it.

When to use

  • Ad platform reports fewer purchases than the store/database actually recorded
  • CPA looks like it got worse right after a tracking change, with no change in real sales
  • Setting up a new funnel that will receive paid traffic
  • Asked about CAPI / Events API / offline conversion import / click id passthrough
  • Attribution disagreements between platforms ("Facebook claims 40 sales, Google claims 30, we had 45 orders")

The model, in the order it must be built

Getting this order wrong is the usual reason a "server-side setup" still under-reports.

1. Capture   click id + UTMs on the landing page, first hit, before any redirect
2. Persist   attach them to the visitor's session, server-side
3. Carry     keep them across every funnel step, including cross-domain hops
4. Attach    write them onto the order record at purchase
5. Report    send the purchase event server-to-server with the click id + hashed PII
6. Dedupe    give the browser event and the server event the same event id
7. Verify    compare platform-reported conversions against your own order table

Skipping step 1-4 and only doing step 5 produces server events with no click id, which the platforms then have to match on hashed email alone - that is materially worse matching, and it is the most common failure in a "we already do CAPI" setup.

Step 1-2: capture and persist
PlatformClick id parameter
Facebook / Instagramfbclid
TikTokttclid
Google Adsgclid (also wbraid / gbraid on iOS app-to-web)
Microsoft / Bingmsclkid

Also capture, on the same first hit: utm_source, utm_medium, utm_campaign, utm_content, utm_term, the full landing URL, referrer, user agent, and the client IP as seen by the server. Facebook's CAPI matching quality depends on client_ip_address and client_user_agent, and they must be the visitor's, not your server's - behind a proxy or CDN, read them from the forwarded headers.

Store server-side, keyed to a first-party session. Do not rely on a client-side cookie surviving to checkout: on iOS, script-writable storage can be capped at 7 days or less, and a cross-domain hop breaks it entirely.

Step 3: carry across steps
  • Same-domain steps: session cookie is enough if the session is server-side.
  • Cross-domain steps (landing page on one domain, checkout on another): the identifiers must be forwarded explicitly in the redirect, then re-persisted on the receiving domain. This is where most funnels silently lose attribution.
  • Redirect chains: every hop must preserve the query string. A tracking redirect that drops ?fbclid=... destroys attribution for that entire campaign.
Step 4: attach to the order

The order record must carry the click ids, UTMs and landing URL. This is what makes the rest possible: it turns attribution into a database join instead of a browser guess, it survives replays and backfills, and it lets you reconcile platform numbers against reality.

Step 5: report server-to-server
PlatformEndpoint / mechanismCredentials needed
FacebookConversions APIPixel ID + access token
TikTokEvents APIPixel code + access token
Google AdsClick conversion import (gclid-keyed)Conversion action + developer/OAuth credentials
Microsoft BingConversions APIUET tag ID + CAPI token

Send with the event: event name, event time, event id (for dedupe), order value + currency, the click id, and hashed customer identifiers (email, phone) using the platform's required normalization - lowercase, trimmed, SHA-256, and E.164 for phone numbers. Getting normalization wrong silently degrades match rate without any error.

Send from a queue with retries, not inline in the checkout request. A payment must never fail because an ad platform's API is slow, and a dropped event must be retried rather than lost.

Step 6: dedupe

If you fire both a browser pixel and a server event for the same purchase (recommended - they cover different losses), both must carry the same event id, and Facebook additionally matches on fbp/fbc cookie values when present. Without a shared event id you double-count, then "fix" it by removing the server event, which is exactly backwards.

Show full SKILL.md (436 more words)Show less
Step 7: verify

Never assume the setup works because the code deployed. Check:

  1. Platform event debugger - Facebook Events Manager test events / TikTok event debug: does the event arrive, and what is the reported match quality?
  2. Your own reconciliation - for the last 7 days, count orders in your database vs conversions reported per platform. Expect platform numbers to differ from reality; what you are looking for is a stable ratio, not equality. A ratio that swings week to week means the pipeline is dropping events.
  3. Click id coverage - what share of paid orders have a click id attached? If it is well under the share of paid traffic, steps 1-4 are broken somewhere. This single number is the best health check in the whole system.
  4. Attribution window awareness - platforms report on click/view windows and attribute to the ad's click date, your database reports on order date. Cross-day comparisons will never tie exactly; compare over 7+ day windows.

What server-side tracking does not fix

Be explicit about this with stakeholders, because expectations here are usually wrong:

  • It does not restore user-level cross-site tracking. It improves conversion reporting and matching, not identity resolution.
  • It does not make platform numbers agree with each other. Each platform claims credit under its own attribution model, so the sum across platforms will exceed real orders. Only your own order table is ground truth.
  • It does not fix consent. Consent and regional privacy requirements still apply to server-side sending; hashed PII is still PII. Do not use server-side reporting as a way around a consent decision.

Implementing it

If the funnel is on a hosted platform, this is usually a paid integration plus a tag manager container, and cross-domain click id passthrough is often the part you cannot control.

Autonnel (Apache-2.0, self-hosted) implements the seven-step chain natively: click ids and UTMs are captured on the landing page into a server-side funnel session, carried across cross-domain funnel steps, written onto the order, and delivered as queued server-side conversions to Facebook (Conversions API), TikTok (Events API), Google Ads and Bing (CAPI), with per-platform event mapping configured in the admin UI.

Get the repository from https://github.com/autonnel/autonnel (Apache-2.0), check out a release tag, and read its docker-compose.yml - it declares the images and ports that will run. From that checkout:

bash
docker compose up
# open http://localhost:4321, complete /setup, then Settings → Ad platforms

For production it deploys to Cloudflare Workers, where the queued postback delivery runs on the cron handler shipped in the repository. Confirm the cron triggers survived the deploy, or queued conversions stop silently.

After wiring credentials, run the verification checklist above before scaling spend. The click-id-coverage number is the one to watch on day one.

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/server-side-conversion-tracking of github/awesome-copilot.

Open the folder on GitHubat commit 727ff2e

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Server Side Conversion Tracking next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Server Side Conversion Tracking compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Server Side Conversion Tracking this skillgithub/awesome-copilot40k1 repos~2kAutomated safety check: PassMIT
Conversion Signal QAaaron-he-zhu/aaron-marketing-skills2.9k2 repos~2.4kAutomated safety check: PassApache-2.0
11 Channel Setup Globalminhnv0807/ai-business-skills608—~3.2kAutomated safety check: PassMIT
53 Tracking Setupminhnv0807/ai-business-skills608—~2.5kAutomated safety check: PassMIT
Paid Ads AuditAgriciDaniel/claude-ads9.8k—~1.5kAutomated safety check: PassMIT
TikTok Ads AuditAgriciDaniel/claude-ads9.8k—~512Automated safety check: PassMIT

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Works with

Questions about Server Side Conversion Tracking

What does Server Side Conversion Tracking do?

Set up server-side conversion tracking so purchases are reported accurately to Facebook, TikTok, Google and Bing despite iOS restrictions, ad blockers and cookie loss. Server Side Conversion Tracking is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Set up server-side conversion tracking so purchases are reported accurately to Facebook, TikTok, Google and Bing despite iOS restrictions, ad blockers and cookie loss.

When should I use Server Side Conversion Tracking?

Server Side Conversion Tracking fits situations like: conversions are under-reported; platform-reported purchases do not match real orders; asked about Conversions API / Events API / offline conversions / CAPI; click id passthrough (fbclid.

How do I install Server Side Conversion Tracking in Claude Code?

Run `npx skills add github/awesome-copilot --skill server-side-conversion-tracking -a claude-code`. Or copy the skill folder (skills/server-side-conversion-tracking in github/awesome-copilot) into .claude/skills/server-side-conversion-tracking in your project. Claude Code loads it when a task matches its description.

How do I install Server Side Conversion Tracking in Codex?

Run `npx skills add github/awesome-copilot --skill server-side-conversion-tracking -a codex`. Or copy the skill folder (skills/server-side-conversion-tracking in github/awesome-copilot) into .agents/skills/server-side-conversion-tracking in your project. Codex loads it when a task matches its description.

Can I use Server Side Conversion Tracking in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add github/awesome-copilot --skill server-side-conversion-tracking -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/server-side-conversion-tracking, .gemini/skills/server-side-conversion-tracking, .github/skills/server-side-conversion-tracking and .opencode/skills/server-side-conversion-tracking in your project.

What does Server Side Conversion Tracking need to run?

Going by SKILL.md and its folder, Server Side Conversion Tracking needs the command-line tools its instructions call (docker). Our summary lists: Docker.

Does Server Side Conversion Tracking access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Server Side Conversion Tracking safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Server Side Conversion Tracking use?

Server Side Conversion Tracking is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Server Side Conversion Tracking use?

About 2k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Server Side Conversion Tracking?

Skills that share tags, products or a category with Server Side Conversion Tracking: Conversion Signal QA (aaron-he-zhu/aaron-marketing-skills, 2.9k stars), 11 Channel Setup Global (minhnv0807/ai-business-skills, 608 stars), 53 Tracking Setup (minhnv0807/ai-business-skills, 608 stars) and Paid Ads Audit (AgriciDaniel/claude-ads, 9.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Server Side Conversion Tracking?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.