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customer-psychographic-profiler
Builds psychographic profiles from customer signals, motivations, anxieties, buying triggers, and decision-making patterns.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Builds psychographic profiles from customer signals, motivations, anxieties, buying triggers, and decision-making patterns.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Designs, improves, converts, debugs, and operationalizes prompts, system instructions, agent definitions, and reusable AI-agent behavior. Works autonomously by default: reads the project, infers intent, and produces a finished prompt with stated assumptions in one pass; runs a guided one-question-at-a-time interactive mode on request. Use when the user is writing or refining a prompt, a system prompt, GPT/agent instructions, an AGENTS.md or CLAUDE.md, a Cursor rule, or asks to make a prompt better, convert a prompt between platforms, debug poor prompt output, or cut a prompt's token usage. Triggers on: 'write a prompt', 'improve this prompt', 'prompt for', 'system prompt', 'agent instructions', 'convert this prompt', 'why is this prompt failing', 'reduce tokens', 'prompt engineering'.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
Algorithmic philosophies are computational aesthetic movements that are then expressed through code. Output .md files (philosophy), .html files (interactive viewer), and .js files (generative algorithms).
To access Anthropic's official brand identity and style resources, use this skill.
To access Anthropic's official brand identity and style resources, use this skill.
These are instructions for creating design philosophies - aesthetic movements that are then EXPRESSED VISUALLY. Output only .md files, .pdf files, and .png files.
| name | customer-psychographic-profiler |
| description | Builds psychographic profiles from customer signals, motivations, anxieties, buying triggers, and decision-making patterns. |
| license | MIT |
| metadata | {"imported_from":"codex-regular","source_repository":"https://github.com/sickn33/antigravity-awesome-skills","source_path":"~/.codex/skills/customer-psychographic-profiler/SKILL.md","imported_at":"2026-05-09"} |
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.
Before profiling, establish:
The Target Human
The Objective
The Output
Constraints
If any of this is missing, ask before proceeding.
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).
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).
Failure Mode 1
Failure Mode 2
Failure Mode 3
This skill must:
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.
Before invoking this skill, the agent should have completed:
@awareness-stage-mapper - if the audience's knowledge level is already knownThis skill's output feeds into:
@jobs-to-be-done-analyst@awareness-stage-mapper@copywriting-psychologist@ux-persuasion-engineer@identity-mirrorBefore finalizing output, the agent asks: