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Agent skill

Marketing Analytics

by cbrock84 in cbrock84/headcount

Sets up, audits, and reports on marketing measurement — tracking plans, event schemas, attribution models, and the dashboards built on them.

MITAuto-check passedMarketing & SEO

Install Marketing Analytics

skills CLI
$ npx skills add cbrock84/headcount --skill marketing-analytics -a claude-code

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

GitHub CLI
$ gh skill install cbrock84/headcount marketing-analytics --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/cbrock84/headcount.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/demand-generation/skills/marketing-analytics .claude/skills/marketing-analytics && 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
marketing-analytics
GitHub stars
2k
Token cost
~942 tokens
SKILL.md length
491 words
Files
2 (incl. references)
Skills in repo
178
Repo updated
First seen
Licence
MIT

At a glance

Sets up, audits, and reports on marketing measurement — tracking plans, event schemas, attribution models, and the dashboards built on them.

  • Tasks that involve Marketing analytics
  • SKILL.md covers The tracking plan comes first, Auditing existing tracking, Attribution and Reporting, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Product analytics

What it does

Marketing Analytics is an agent skill from cbrock84/headcount. Sets up, audits, and reports on marketing measurement — tracking plans, event schemas, attribution models, and the dashboards built on them. Use this to instrument a site or product, audit tracking nobody trusts, choose or interpret an attribution model, build reporting that answers a specific question, or reconcile numbers that disagree between tools.

Its SKILL.md is about 940 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/sources.md`).

It sits in Marketing & SEO, covering Marketing analytics and Product analytics. The repository describes itself as: An agent organization structured as a company — 15+ departments, 125+ skills, each independently installable, citing the standards and regulators that settle the question. Runs… The licence is MIT.

When your agent uses it

  • Tasks that involve Marketing analytics
  • Tasks that involve Product analytics

Example prompts

  • “/marketing-analytics”

What it can do on your machine

Read from SKILL.md and the folder at commit 98d1c17. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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

Marketing Analytics loads about 942 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 491 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~942
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.7k

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 cbrock84/headcount at commit 98d1c17, republished under its MIT licence (© cbrock84). 491 words, ~942 tokens.

Download SKILL.mdSave it as .claude/skills/marketing-analytics/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
marketing-analytics
description
Sets up, audits, and reports on marketing measurement — tracking plans, event schemas, attribution models, and the dashboards built on them. Use this to instrument a site or product, audit tracking nobody trusts, choose or interpret an attribution model, build reporting that answers a specific question, or reconcile numbers that disagree between tools.

Marketing analytics

The tracking plan comes first

Dashboards built on bad instrumentation are confident and wrong, which is worse than having none.

Define, in writing, before implementing: every event, when it fires, its properties and their types, and the question each one exists to answer. An event with no question behind it is noise that will be maintained forever.

Naming convention decided once and enforced: object_action, lowercase, past tense. Inconsistent naming is unfixable later without breaking historical data.

Auditing existing tracking

Numbers nobody trusts usually come from one of:

  • Double-firing on route changes in single-page apps.
  • Events that stopped when someone changed a selector or a component.
  • Definition drift — two tools counting "signup" at different moments.
  • Bot and internal traffic never filtered out.
  • Consent and blockers removing a meaningful and non-random share of data.

Verify by doing the action yourself and watching the event arrive with the properties you expect. Not by reading the dashboard.

Attribution

Every model is wrong in a known direction. Pick deliberately and state the bias:

  • Last-touch — over-credits closing channels: brand search, retargeting. Under-credits everything that created demand.
  • First-touch — the mirror image; over-credits discovery.
  • Multi-touch — better, and dependent on complete tracking you probably do not have.
  • Incrementality testing — the only method that answers "would this have happened anyway." The most expensive and the most trustworthy.

Use one model consistently for decisions, and check it periodically against a holdout. Switching models to make a channel look better is how organizations mislead themselves.

Reporting

Every report answers one question for one audience. Reports built to display everything get read by nobody.

Show the metric, its comparison period, and the decision it informs. A number with no comparison is not information. Where a number moved, the report should say why or say that the cause is unknown — "unknown" is a legitimate and useful finding.

Show full SKILL.md (186 more words)Show less

Sources

references/sources.md in this skill lists the outside authorities that settle the questions here — what each one is authoritative for, and what you may do with it. Check them before answering on anything they cover, and cite what you used. Most are free to read and not free to reproduce; the use note on each is binding.

Tooling

Product and web analytics: Google Analytics 4, Amplitude, Mixpanel, PostHog, Plausible, and similar.

Attribution: HubSpot or Salesforce campaign reporting, Dreamdata, Rockerbox, and similar. All of them model rather than observe — treat the output as directional and say so when you present it.

Warehouse-native reporting beats a vendor dashboard the moment you need to join spend to revenue on your own definitions.

Never

  • Add tracking before the plan names the events and their properties. Retrofitting a schema onto live data is a migration, not an edit.
  • Report an attribution number without saying which model produced it. The same period looks like different businesses under first and last touch.
  • Change an event definition without versioning it. Every historical comparison silently becomes wrong.
  • Build a dashboard nobody named a decision for.

© cbrock84, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in plugins/demand-generation/skills/marketing-analytics of cbrock84/headcount.

  • SKILL.md
  • references/sources.md

Open the folder on GitHubat commit 98d1c17

Compare with similar skills

Marketing Analytics 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.

Marketing Analytics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Marketing Analytics this skillcbrock84/headcount2k—~942Automated safety check: PassMIT
AnalyticsNexus-JPF/note-companion8707 repos~2.2kAutomated safety check: PassMIT
Analytics Trackingborghei/Claude-Skills886—~5.7kAutomated safety check: PassMIT
Analytics Reportingseb1n/awesome-ai-agent-skills206—~2.7kAutomated safety check: PassMIT
AttributionNexus-JPF/note-companion8701 repos~5.2kAutomated safety check: PassMIT
Suede AnalyticsJasonColapietro/suede-creator-skills127—~2.7kAutomated safety check: PassMIT

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Categories

Questions about Marketing Analytics

What does Marketing Analytics do?

Sets up, audits, and reports on marketing measurement — tracking plans, event schemas, attribution models, and the dashboards built on them. Marketing Analytics is an agent skill from cbrock84/headcount. Sets up, audits, and reports on marketing measurement — tracking plans, event schemas, attribution models, and the dashboards built on them.

When should I use Marketing Analytics?

Marketing Analytics fits situations like: tasks that involve Marketing analytics; tasks that involve Product analytics.

How do I install Marketing Analytics in Claude Code?

Run `npx skills add cbrock84/headcount --skill marketing-analytics -a claude-code`. Or copy the skill folder (plugins/demand-generation/skills/marketing-analytics in cbrock84/headcount) into .claude/skills/marketing-analytics in your project. Claude Code loads it when a task matches its description.

How do I install Marketing Analytics in Codex?

Run `npx skills add cbrock84/headcount --skill marketing-analytics -a codex`. Or copy the skill folder (plugins/demand-generation/skills/marketing-analytics in cbrock84/headcount) into .agents/skills/marketing-analytics in your project. Codex loads it when a task matches its description.

Can I use Marketing Analytics 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 cbrock84/headcount --skill marketing-analytics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/marketing-analytics, .gemini/skills/marketing-analytics, .github/skills/marketing-analytics and .opencode/skills/marketing-analytics in your project.

What does Marketing Analytics need to run?

SKILL.md names no scripts, command-line tools or credentials: Marketing Analytics is instructions for the agent only.

Does Marketing Analytics access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Marketing Analytics 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 Marketing Analytics use?

Marketing Analytics 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 Marketing Analytics use?

About 942 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 715 tokens, read only when the agent opens those files.

What are the alternatives to Marketing Analytics?

Skills that share tags, products or a category with Marketing Analytics: Analytics (Nexus-JPF/note-companion, 870 stars), Analytics Tracking (borghei/Claude-Skills, 886 stars), Analytics Reporting (seb1n/awesome-ai-agent-skills, 206 stars) and Attribution (Nexus-JPF/note-companion, 870 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Marketing Analytics?

cbrock84 (a GitHub user) maintains it in cbrock84/headcount, which has 2,016 GitHub stars. The repository holds 178 skills in this directory. The repository was last updated on September 17, 2026.

Source: cbrock84/headcount on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.