Agent skill

Behavioral Marketing

by cbrock84 in cbrock84/headcount

Applies decision science and cognitive bias research to marketing and product decisions — how people actually choose under uncertainty, and how framing, defaults, sequencing, and social context…

MITAuto-check passedMarketing & SEO

Install Behavioral Marketing

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

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

GitHub CLI
$ gh skill install cbrock84/headcount behavioral-marketing --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/marketing/skills/behavioral-marketing .claude/skills/behavioral-marketing && 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
behavioral-marketing
GitHub stars
2k
Token cost
~1.3k tokens
SKILL.md length
707 words
Files
2 (incl. references)
Skills in repo
178
Repo updated
First seen
Licence
MIT

At a glance

Applies decision science and cognitive bias research to marketing and product decisions — how people actually choose under uncertainty, and how framing, defaults, sequencing, and social context…

  • Tasks that involve Marketing psychology
  • SKILL.md covers The effects that most often…, Using this without becoming…, Reasoning about it and Sources, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Behavioral Marketing is an agent skill from cbrock84/headcount. Applies decision science and cognitive bias research to marketing and product decisions — how people actually choose under uncertainty, and how framing, defaults, sequencing, and social context change behavior. Use this to diagnose why a well-argued offer is not converting, to structure choices and pricing presentation, to design an experience around how attention and memory work, or to pressure-test whether a persuasion tactic is legitimate or manipulative.

Its SKILL.md is about 1.3k 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 psychology. 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 psychology

Example prompts

  • “Use the behavioral-marketing skill to apply decision science and cognitive bias research to marketing and product decisions — how people actually…”
  • “/behavioral-marketing”

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

Behavioral Marketing loads about 1.3k tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 121 tokens; SKILL.md has 707 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~121
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.1k

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). 707 words, ~1,293 tokens.

Download SKILL.mdSave it as .claude/skills/behavioral-marketing/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
behavioral-marketing
description
Applies decision science and cognitive bias research to marketing and product decisions — how people actually choose under uncertainty, and how framing, defaults, sequencing, and social context change behavior. Use this to diagnose why a well-argued offer is not converting, to structure choices and pricing presentation, to design an experience around how attention and memory work, or to pressure-test whether a persuasion tactic is legitimate or manipulative.

Behavioral marketing

People do not evaluate offers on merit and then act. They decide fast, under uncertainty, using whatever the context makes salient — and then explain the decision afterward. Marketing that assumes otherwise loses to marketing that does not.

The effects that most often explain a stuck conversion

Reference dependence. Nothing is judged absolutely. A price is high or low relative to whatever was shown first, so what you present first sets the frame for everything after it.

Loss aversion. Losing something registers considerably more than gaining the equivalent. This is why switching costs are underestimated by sellers and overestimated by buyers, and why "what you are currently losing" often outperforms "what you could gain."

Choice overload. More options reduce the likelihood of any choice being made. Beyond a small number, each additional option raises the cost of deciding faster than it raises the chance of a good match. If a pricing page has seven tiers, the problem is not the copy.

Status quo and default effects. Doing nothing is the most-chosen option in almost every context, and whatever is pre-selected is disproportionately taken. Whether a default exists is often a bigger lever than anything in the argument around it.

Social proof. Evidence of what similar others did carries more weight than claims about quality — and specificity matters. "Used by four hundred logistics teams" works where "trusted by thousands" does not, because the first is checkable and names a peer group.

Zero-price effect. Free is not a very low price; it is a different category that suspends cost-benefit reasoning. This makes free tiers powerful acquisition tools and dangerous pricing anchors.

Present bias. Immediate costs and benefits are weighted far above future ones. An annual plan competes against a monthly one on the immediacy of the charge, not on total value.

Goal-gradient and endowed progress. Effort increases as a visible goal approaches, and progress already granted counts. Progress indicators work; starting someone partway along works better.

Peak-end. An experience is remembered by its most intense moment and its ending, not its average. The last screen of onboarding and the cancellation flow carry disproportionate memory weight.

Show full SKILL.md (353 more words)Show less

Using this without becoming manipulative

Every effect above can be used to help someone decide well or to extract a decision they would regret. The distinction is not subtle, and it is testable:

  • Would the customer be comfortable if you explained the technique to them? Anchoring against a real higher-value plan passes. A fake original price does not.
  • Does it help them decide, or prevent them deciding? Reducing choice overload helps. A countdown that resets on refresh does not.
  • Does it survive a satisfied customer? Tactics that work only until the person notices produce churn, chargebacks, and in several jurisdictions regulatory exposure — dark patterns around cancellation and consent are now specifically enforced.

Scarcity and urgency deserve particular caution: legitimate when real and stated precisely, corrosive when manufactured. A false constraint is the single fastest way to lose a customer who was going to buy anyway.

Reasoning about it

  • Look for the constraint, not the list. One thing usually blocks the decision. Applying six techniques to a page with an unclear value proposition addresses none of them.
  • Second-order effects. A tactic that raises conversion and raises refunds has not worked. Judge against downstream behavior, not the immediate step.
  • Effects are contextual and interact. Published effect sizes are directional, not predictions. Treat every application as a hypothesis to test rather than a known quantity — this is where behavioral marketing most often overreaches.

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

  • Deploy an effect without being able to name the mechanism. A tactic borrowed without its mechanism fails silently in a context that differs in ways nobody checked.
  • Manufacture scarcity, urgency, or social proof that is not true. It works once and costs the relationship permanently.
  • Treat a published effect size as a guaranteed lift. Those numbers come from populations and contexts that are not yours.

© 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/marketing/skills/behavioral-marketing of cbrock84/headcount.

  • SKILL.md
  • references/sources.md

Open the folder on GitHubat commit 98d1c17

Compare with similar skills

Behavioral Marketing 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.

Behavioral Marketing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Behavioral Marketing this skillcbrock84/headcount2k—~1.3kAutomated safety check: PassMIT
Marketing Psychologyfreekmurze/dotfiles1k22 repos~5.4kAutomated safety check: PassNone
Cold Email Sequence Generatornicepkg/auto-company1953 repos~4.9kAutomated safety check: PassNone
Ugcfal-ai-community/skills251—~1.5kAutomated safety check: PassNone
Landing Optimizeraaron-he-zhu/aaron-marketing-skills2.9k—~3.3kAutomated safety check: PassApache-2.0
Social Proof Architectsickn33/agentic-awesome-skills47k2 repos~1.4kAutomated safety check: PassMIT

Similar skills

  • Marketing Psychology

    freekmurze/dotfiles

    When the user wants to apply psychological principles, mental models, or behavioral science to marketing.

    1k GitHub starsUsed in 22 repos~5.4k tokens
    Marketing & SEOAuto-check passed
  • Cold Email Sequence Generator

    nicepkg/auto-company

    Generate personalized cold email sequences (7-14 emails) with A/B test subject lines, follow-up timing recommendations, and integrated social proof.

    195 GitHub starsUsed in 3 repos~4.9k tokens
    Marketing & SEOAuto-check passed
  • Ugc

    fal-ai-community/skills

    Plan and run UGC-style creator ads and social proof videos with genmedia.

    251 GitHub stars~1.5k tokensUpdated 12 days ago
    Marketing & SEOAuto-check passed
  • Landing Optimizer

    aaron-he-zhu/aaron-marketing-skills

    A skill your agent uses when the user asks to "optimize our landing page for influencer traffic", "fix our promo-code landing page", or "improve conversion from a creator campaign"; produces a…

    2.9k GitHub stars~3.3k tokensUpdated today
    Marketing & SEOAuto-check passed
  • Social Proof Architect

    sickn33/agentic-awesome-skills

    One sentence - what this skill does and when to invoke it. An agent skill from sickn33/agentic-awesome-skills.

    47k GitHub starsUsed in 2 repos~1.4k tokens
    Marketing & SEOAuto-check passed
  • Testimonial Collector

    BrianRWagner/ai-marketing-claude-code-skills

    Systematically gather, score, and format client testimonials.

    441 GitHub stars~1.8k tokensUpdated 6 mo ago
    Marketing & SEOAuto-check passed

More from cbrock84/headcount

All 178 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 23 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 23 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 23 days ago
    Auto-check passed
  • Activation

    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.

    2k GitHub stars~865 tokensUpdated 23 days ago
    Auto-check passed
  • AI ML Governance

    cbrock84/headcount

    Governs models and AI systems in production — intended use, evaluation, monitoring, human oversight, documentation, and the decision to deploy or retire.

    2k GitHub stars~1k tokensUpdated 23 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 23 days ago
    Auto-check passed

Categories

Questions about Behavioral Marketing

What does Behavioral Marketing do?

Applies decision science and cognitive bias research to marketing and product decisions — how people actually choose under uncertainty, and how framing, defaults, sequencing, and social context…. Behavioral Marketing is an agent skill from cbrock84/headcount. Applies decision science and cognitive bias research to marketing and product decisions — how people actually choose under uncertainty, and how framing, defaults, sequencing, and social context change behavior.

When should I use Behavioral Marketing?

Behavioral Marketing fits situations like: tasks that involve Marketing psychology.

How do I install Behavioral Marketing in Claude Code?

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

How do I install Behavioral Marketing in Codex?

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

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

What does Behavioral Marketing need to run?

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

Does Behavioral Marketing 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 Behavioral Marketing 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 Behavioral Marketing use?

Behavioral Marketing 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 Behavioral Marketing use?

About 1.3k tokens (SKILL.md is roughly 5.2k 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 761 tokens, read only when the agent opens those files.

What are the alternatives to Behavioral Marketing?

Skills that share tags, products or a category with Behavioral Marketing: Marketing Psychology (freekmurze/dotfiles, 1k stars), Cold Email Sequence Generator (nicepkg/auto-company, 195 stars), Ugc (fal-ai-community/skills, 251 stars) and Landing Optimizer (aaron-he-zhu/aaron-marketing-skills, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Behavioral Marketing?

cbrock84 (a GitHub user) maintains it in cbrock84/headcount, which has 2,022 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.