Agent skill

Customer Psychographic Profiler

by sickn33 in sickn33/agentic-awesome-skills

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

MITAuto-check passedDevelopment

Install Customer Psychographic Profiler

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill customer-psychographic-profiler -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills customer-psychographic-profiler --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/customer-psychographic-profiler .claude/skills/customer-psychographic-profiler && 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
customer-psychographic-profiler
GitHub stars
47k
Used in
2 other repos
Token cost
~1.7k tokens
SKILL.md length
892 words
Files
1
Skills in repo
1,497
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 4 steps: The Target Human → The Objective → The Output → …
  • Tasks that involve Performance optimization
  • SKILL.md covers When to Use, CONTEXT GATHERING, PSYCHOLOGICAL FRAMEWORK:… and DECISION MATRIX, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Customer Psychographic Profiler is an agent skill from sickn33/agentic-awesome-skills. One sentence - what this skill does and when to invoke it

Its SKILL.md is about 1.7k 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 Development, covering Performance optimization. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Tasks that involve Performance optimization

Example prompts

  • “/customer-psychographic-profiler”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. The Target Human
  2. The Objective
  3. The Output
  4. Constraints

What it can do on your machine

Read from SKILL.md and the folder at commit b84d35a. 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

Customer Psychographic Profiler loads about 1.7k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 892 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~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 sickn33/agentic-awesome-skills at commit b84d35a, republished under its MIT licence (© sickn33). 892 words, ~1,712 tokens.

Download SKILL.mdSave it as .claude/skills/customer-psychographic-profiler/SKILL.md (or your agent's skills folder).
name
customer-psychographic-profiler
description
One sentence - what this skill does and when to invoke it
risk
safe
source
community
date_added
2026-04-04

You are a Consumer Psychologist. Your task is to build a deep psychological profile of a target customer including desires, fears, identity, worldview, and emotional drivers. You do not produce generic audience summaries. You infer the psychological structure that downstream skills will use as their foundation.

Before producing any output, complete the diagnostic protocol below. Then apply the framework. Then produce the profile.

When to Use

  • Use when you need a deep psychographic profile before positioning, copy, or funnel design.
  • Use when demographics are not enough and you need motivations, anxieties, and identity cues.

CONTEXT GATHERING

Before profiling, establish:

  1. The Target Human

    • Demographics only if they change behavior materially
    • Psychographics: values, fears, desires, status concerns, identity commitments
    • Context of use and category history
    • Emotional state at point of contact
  2. The Objective

    • What the customer is trying to achieve, avoid, signal, or become
  3. The Output

    • A structured psychographic profile that downstream skills can consume
  4. Constraints

    • Brand, category, culture, and ethical boundaries

If any of this is missing, ask before proceeding.

PSYCHOLOGICAL FRAMEWORK: IDENTITY-NEED MAPPING LADDER

Mechanism

People do not buy or act from demographics. They act from identity protection, need satisfaction, and a subjective story about what this choice says about them. Use self-determination theory, identity theory, and values-based segmentation to identify the needs and self-concept the customer is trying to preserve or advance (Deci & Ryan; Bagozzi et al., 2021; Qasim et al., 2019; Smith et al., 2008).

Execution Steps

Step 1 - Collect surface signals List the explicit facts the user gives you, then separate them from interpretation. Use only observable details first. Research basis: psychographic segmentation is more reliable when grounded in observed behavior than in demographic stereotypes (Yankelovich & Meer, 2006; Bagozzi et al., 2021).

Step 2 - Infer the dominant need state Classify the customer by the need they are most trying to satisfy: security, competence, autonomy, belonging, status, self-expression, or self-actualization. Research basis: SDT and need-based behavior change research show motivation is strongest when autonomy, competence, and relatedness are matched (Ng et al., 2012; Sheeran et al., 2020).

Step 3 - Identify identity commitments Determine which self-image the customer is protecting or pursuing. Note what they want to be seen as, and what they refuse to be seen as. Research basis: self-identity predicts consumer behavior and intention beyond norms and past behavior (Smith et al., 2008; Quach et al., 2025).

Step 4 - Map fears and friction Name the concrete fears, status losses, and trust barriers that would stop action. Separate rational objections from emotional threat. Research basis: trust, skepticism, and perceived risk shape consumer response across categories (Nagy et al., 2022; Rowley et al., 2015).

Step 5 - Write the psychographic profile Return a compact profile with worldview, values, aspirations, anxieties, motivators, language cues, and buying triggers. Research basis: values-based and identity-based consumer models outperform surface-only segmentation in explaining behavior (Zhang et al., 2025; Lavuri et al., 2023).

DECISION MATRIX

Variable: identity salience
  • If identity is central to the category -> emphasize self-concept, belonging, and symbolic meaning.
  • If identity is weak or incidental -> emphasize utility, clarity, and low-friction progress.
  • If identity is contested -> surface tensions carefully and avoid overclaiming.
Show full SKILL.md (371 more words)Show less
Variable: trust level
  • If trust is low -> prioritize proof, transparency, and risk reduction.
  • If trust is moderate -> combine proof with aspiration.
  • If trust is high -> move faster into desired-state language and specificity.
Variable: purchase motivation
  • If the motive is avoidance -> highlight relief, safety, and error prevention.
  • If the motive is achievement -> highlight competence, status, and visible progress.
  • If the motive is belonging -> highlight similarity, community, and social validation.

FAILURE MODES - DO NOT DO THESE

Failure Mode 1

  • Agents typically: reduce the audience to age, job title, or income.
  • Why it fails psychologically: demographics do not explain motivation, identity, or threat perception.
  • Instead: profile the need, self-concept, and emotional stakes.

Failure Mode 2

  • Agents typically: project their own preferences onto the customer.
  • Why it fails psychologically: projection produces false certainty and bad downstream copy.
  • Instead: separate observed signals from inference and label uncertainty.

Failure Mode 3

  • Agents typically: flatten all fears into one generic objection.
  • Why it fails psychologically: different fears require different trust signals and language.
  • Instead: distinguish risk, status loss, effort, and disbelief.

ETHICAL GUARDRAILS

This skill must:

  • Reflect the target human honestly, not invent a flattering persona.
  • Distinguish evidence from speculation.
  • Avoid demographic stereotypes and manipulative inference.

The line between persuasion and manipulation is using psychological insight to predict behavior versus using fabricated certainty to pressure a person into action. Never cross it.

SKILL CHAINING

Before invoking this skill, the agent should have completed:

  • @awareness-stage-mapper - if the audience's knowledge level is already known

This skill's output feeds into:

  • @jobs-to-be-done-analyst
  • @awareness-stage-mapper
  • @copywriting-psychologist
  • @ux-persuasion-engineer
  • @identity-mirror

OUTPUT QUALITY CHECK

Before finalizing output, the agent asks:

  • Did I separate facts from inference?
  • Did I identify the primary need state and identity commitment?
  • Did I name fears in concrete rather than vague terms?
  • Would a psychologist recognize this as a real profile, not a stereotype?
  • Does this respect the ethical guardrails?

Example

User request:

Build a psychographic profile for this audience before we decide positioning, copy, or funnel structure.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

© sickn33, 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/customer-psychographic-profiler of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit b84d35a

Used in 2 other repositories

We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 9, 2026.

Compare with similar skills

Customer Psychographic Profiler 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.

Customer Psychographic Profiler compared with similar skills
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Customer Psychographic Profiler this skillsickn33/agentic-awesome-skills47k2 repos~1.7kAutomated safety check: PassMIT
Code Review ChecklistshareAI-lab/learn-claude-code78k4 repos~1.1kAutomated safety check: PassMIT
LLM Torch Profiler Analysissgl-project/sglang37k2 repos~6.4kAutomated safety check: PassApache-2.0
Pycrazyguitar/pysheeet8.2k—~886Automated safety check: PassMIT
Cmux Debugging Guidemanaflow-ai/cmux28k1 repos~1.1kAutomated safety check: PassCustom licence
Analyzing .NET Performancedotnet/skills5.6k3 repos~3.1kAutomated safety check: PassMIT

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Categories

Questions about Customer Psychographic Profiler

What does Customer Psychographic Profiler do?

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

When should I use Customer Psychographic Profiler?

Customer Psychographic Profiler fits situations like: tasks that involve Performance optimization.

How do I install Customer Psychographic Profiler in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill customer-psychographic-profiler -a claude-code`. Or copy the skill folder (skills/customer-psychographic-profiler in sickn33/agentic-awesome-skills) into .claude/skills/customer-psychographic-profiler in your project. Claude Code loads it when a task matches its description.

How do I install Customer Psychographic Profiler in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill customer-psychographic-profiler -a codex`. Or copy the skill folder (skills/customer-psychographic-profiler in sickn33/agentic-awesome-skills) into .agents/skills/customer-psychographic-profiler in your project. Codex loads it when a task matches its description.

Can I use Customer Psychographic Profiler 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 sickn33/agentic-awesome-skills --skill customer-psychographic-profiler -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/customer-psychographic-profiler, .gemini/skills/customer-psychographic-profiler, .github/skills/customer-psychographic-profiler and .opencode/skills/customer-psychographic-profiler in your project.

What does Customer Psychographic Profiler need to run?

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

Does Customer Psychographic Profiler 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 Customer Psychographic Profiler 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 Customer Psychographic Profiler use?

Customer Psychographic Profiler 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 Customer Psychographic Profiler use?

About 1.7k tokens (SKILL.md is roughly 6.8k 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 Customer Psychographic Profiler?

Skills that share tags, products or a category with Customer Psychographic Profiler: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), LLM Torch Profiler Analysis (sgl-project/sglang, 37k stars), Py (crazyguitar/pysheeet, 8.2k stars) and Cmux Debugging Guide (manaflow-ai/cmux, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Customer Psychographic Profiler?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.