Agent skill

Activation

by cbrock84 in cbrock84/headcount

Gets new users from signup to first real value — signup flow, onboarding, time-to-value, and the early experience that determines whether someone becomes a user or a lapsed account.

MITAuto-check passedMarketing & SEO

Install Activation

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

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

GitHub CLI
$ gh skill install cbrock84/headcount activation --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/revenue/skills/activation .claude/skills/activation && 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
activation
GitHub stars
2k
Token cost
~865 tokens
SKILL.md length
498 words
Files
2 (incl. references)
Skills in repo
175
Repo updated
First seen
Licence
MIT

At a glance

Gets new users from signup to first real value — signup flow, onboarding, time-to-value, and the early experience that determines whether someone becomes a user or a lapsed account.

  • Tasks that involve Conversion rate optimization
  • SKILL.md covers Define the activation moment, Signup, Onboarding and Diagnosing, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Activation is an agent skill from cbrock84/headcount. Gets new users from signup to first real value — signup flow, onboarding, time-to-value, and the early experience that determines whether someone becomes a user or a lapsed account. Use this to design or fix signup and onboarding, diagnose why signups do not convert to active use, reduce time-to-value, or decide what a new user must accomplish first.

Its SKILL.md is about 870 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 Conversion rate optimization. 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 Conversion rate optimization

Example prompts

  • “/activation”

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

Activation loads about 865 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 498 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~865
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.2k

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 cbrock84/headcount at commit 98d1c17, republished under its MIT licence (© cbrock84). 498 words, ~865 tokens.

Download SKILL.mdSave it as .claude/skills/activation/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
activation
description
Gets new users from signup to first real value — signup flow, onboarding, time-to-value, and the early experience that determines whether someone becomes a user or a lapsed account. Use this to design or fix signup and onboarding, diagnose why signups do not convert to active use, reduce time-to-value, or decide what a new user must accomplish first.

Activation

Acquisition spend is wasted downstream of a weak activation. This is usually the cheapest place to improve revenue and the least worked on.

Define the activation moment

Name the specific thing a new user does that predicts they will stay — not "logged in twice," but the action that delivers the value they came for. Find it in the data: compare what retained users did in week one against what churned users did.

Everything in onboarding exists to get people to that moment faster. Without it defined, onboarding becomes a feature tour.

Signup

Every field costs conversion, and each one must earn its place. Ask for what is needed to deliver value now; collect the rest later, in context, when the reason is obvious.

  • Defer email verification past first value where the product allows it.
  • Never ask for payment details before value is delivered unless the model requires it.
  • Show progress on multi-step flows, and let people finish later without losing work.
  • Errors inline and specific. A form that rejects on submit without saying which field is where people leave.

Onboarding

The goal is the first real outcome, not a completed tour.

  • Use their data, not sample data. The moment someone sees their own information in the product is the moment it becomes real.
  • One action at a time, each visibly advancing toward the outcome.
  • Skippable, resumable, and repeatable. Forced linear onboarding fails everyone whose situation differs from the assumed one.
  • Empty states do the teaching. They are the most-seen screens in a new account and usually the least designed.

Checklists work when the items lead to real value and the list can be dismissed. They fail when they are busywork.

Show full SKILL.md (217 more words)Show less

Diagnosing

Instrument each step and find the largest drop. Then watch session recordings of people who dropped there — the quantitative data says where, and only observation says why.

Common causes, in rough order: asked for too much too early, value not visible before effort required, an empty product with no path out of it, and a required integration nobody has permissions for.

Measuring

Percentage reaching the activation moment, and time to reach it. Signup conversion alone will happily improve while activation falls.

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.

Never

  • Pick an activation moment because it is easy to measure. It has to be the point where the user gets the value they came for.
  • Add a step to onboarding without removing one. Every screen between signup and value costs you users.
  • Ask at signup for anything you do not need to deliver the first result. Collect the rest later, in context.
  • Count signups as activation. A user who never reached the value moment did not activate.

© 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/revenue/skills/activation of cbrock84/headcount.

  • SKILL.md
  • references/sources.md

Open the folder on GitHubat commit 98d1c17

Compare with similar skills

Activation 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.

Activation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Activation this skillcbrock84/headcount2k—~865Automated safety check: PassMIT
FLOW SEO FrameworkAgriciDaniel/claude-seo18k2 repos~1.4kAutomated safety check: PassMIT
Paywallscoreyhaines31/marketingskills54k1 repos~1.4kAutomated safety check: PassMIT
Onboarding Crofreekmurze/dotfiles1k16 repos~1.6kAutomated safety check: PassNone
Google Analyticsthatrebeccarae/claude-marketing1624 repos~1.3kAutomated safety check: NotesMIT
Paywall Upgrade Crofreekmurze/dotfiles1k15 repos~1.4kAutomated safety check: PassNone

Similar skills

  • FLOW SEO Framework

    AgriciDaniel/claude-seo

    Brings the FLOW framework's stage-specific SEO prompts into the agent, from keyword discovery through backlinks, on-page work and conversion to local SEO, loaded on demand.

    18k GitHub starsUsed in 2 repos~1.4k tokens
    Marketing & SEOAuto-check passed
  • Paywalls

    coreyhaines31/marketingskills

    When the user wants to create or optimize in-app paywalls, upgrade screens, upsell modals, or feature gates.

    54k GitHub starsUsed in 1 repo~1.4k tokens
    Marketing & SEOAuto-check passed
  • Onboarding Cro

    freekmurze/dotfiles

    When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value.

    1k GitHub starsUsed in 16 repos~1.6k tokens
    Marketing & SEOAuto-check passed
  • Google Analytics

    thatrebeccarae/claude-marketing

    Analyze Google Analytics data, review website performance metrics, identify traffic patterns, and suggest data-driven improvements.

    162 GitHub starsUsed in 4 repos~1.3k tokens
    Marketing & SEOAuto-check: notes
  • Paywall Upgrade Cro

    freekmurze/dotfiles

    When the user wants to create or optimize in-app paywalls, upgrade screens, upsell modals, or feature gates.

    1k GitHub starsUsed in 15 repos~1.4k tokens
    Marketing & SEOAuto-check passed
  • Revenue Centric Design

    heliocosta-dev/revenue-centric-design

    Playbook for designing SaaS and startup products that convert, retain, and monetize — landing pages & CRO, checkout & forms, onboarding/activation, churn reduction, pricing psychology, dashboards…

    740 GitHub stars~1.6k tokensUpdated 1 mo ago
    Marketing & SEOAuto-check passed

More from cbrock84/headcount

All 175 skills in this repo
  • Agent Hierarchy

    cbrock84/headcount

    Designs orchestrator-and-subagent hierarchies for a repository — splitting agents by exclusive write surface, pairing every producer with an independent auditor, and enforcing the split with a…

    2k GitHub stars~1.2k tokensUpdated 21 days ago
    Auto-check passed
  • Access And Identity

    cbrock84/headcount

    Designs and audits who can reach what — authentication, authorization models, privileged access, service credentials, and joiner-mover-leaver process.

    2k GitHub stars~1.1k tokensUpdated 21 days ago
    Auto-check passed
  • Account Based Marketing

    cbrock84/headcount

    Concentrates marketing and sales effort on a named set of accounts rather than on volume — qualifying whether the model fits your economics at all, building the account list and the buying group…

    2k GitHub stars~1.2k tokensUpdated 21 days ago
    Auto-check passed
  • AI Research Analyst

    cbrock84/headcount

    Produces executive-level research — market sizing, competitor mapping, trend analysis, and strategic intelligence — grounded in cited sources with the confidence in each claim made explicit.

    2k GitHub stars~916 tokensUpdated 21 days ago
    Auto-check passed
  • AI Search Optimization

    cbrock84/headcount

    Optimizes for AI assistants and AI-generated answers — being retrievable, being cited, and being represented accurately when a model answers on your behalf.

    2k GitHub stars~829 tokensUpdated 21 days ago
    Auto-check passed
  • AI Workflow Architect

    cbrock84/headcount

    Designs AI systems, automations, and agent workflows for a business — identifying which manual work is worth automating, how to structure the system, which tools fit, and what could go wrong.

    2k GitHub stars~1.3k tokensUpdated 21 days ago
    Auto-check passed

Categories

Questions about Activation

What does Activation do?

Gets new users from signup to first real value — signup flow, onboarding, time-to-value, and the early experience that determines whether someone becomes a user or a lapsed account. Activation is an agent skill from cbrock84/headcount. Gets new users from signup to first real value — signup flow, onboarding, time-to-value, and the early experience that determines whether someone becomes a user or a lapsed account.

When should I use Activation?

Activation fits situations like: tasks that involve Conversion rate optimization.

How do I install Activation in Claude Code?

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

How do I install Activation in Codex?

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

Can I use Activation 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 activation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/activation, .gemini/skills/activation, .github/skills/activation and .opencode/skills/activation in your project.

What does Activation need to run?

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

Does Activation 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 Activation 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 Activation use?

Activation 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 Activation use?

About 865 tokens (SKILL.md is roughly 3.5k 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 380 tokens, read only when the agent opens those files.

What are the alternatives to Activation?

Skills that share tags, products or a category with Activation: FLOW SEO Framework (AgriciDaniel/claude-seo, 18k stars), Paywalls (coreyhaines31/marketingskills, 54k stars), Onboarding Cro (freekmurze/dotfiles, 1k stars) and Google Analytics (thatrebeccarae/claude-marketing, 162 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Activation?

cbrock84 (a GitHub user) maintains it in cbrock84/headcount, which has 2,007 GitHub stars. The repository holds 175 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.