ProfileClaw

What Is ProfileClaw

ProfileClaw is a career intelligence data layer that transforms your professional information into a structured, callable Career Graph. Instead of repeatedly explaining your background to every AI tool you use, you build one comprehensive profile that agents can reference. The platform combines psychological assessments, resume analysis, and personal preferences into a unified context asset that AI systems can read and act on.

The core problem ProfileClaw solves is context fragmentation. When you work with multiple AI agents for career tasks, each one starts from scratch — asking the same questions about your skills, preferences, and boundaries. ProfileClaw consolidates this information once, then serves it to any connected agent. Your tokens go toward actual work, not redundant explanations.

Key Capabilities

Four Assessment Types with 200+ Questions: ProfileClaw offers multiple assessment pathways covering different dimensions of your professional identity. These include interest and work preference assessments (RIASEC model mentioned), experience and project evidence extraction, personality and values mapping, and boundary clarification. You do not need to complete everything at once — start with the assessment or input method that feels most natural.

One-Command AI Agent Integration: Developers can connect ProfileClaw to AI agents using a single npm command: npx @profileclawai/skill install-skill. This installs a skill that gives the agent access to the user's career profile. Supported integrations include QClaw, OpenClaw, Zero Claw, Claude Code, OpenCode, and Codex. The same profile serves multiple agents without reconfiguration.

User-Controlled Data Access: ProfileClaw encrypts stored data by default and puts the ProfileClaw Key in your control. You decide which AI agents can read your profile and what information they access. This granular permission model means you can use different profiles with different agents or revoke access at any time.

Developer API Access: Beyond the consumer-facing profile builder, ProfileClaw provides API endpoints that developers can integrate into their own career intelligence products. This enables third-party applications to query user profiles and incorporate career context into their workflows.

Who Is It For

ProfileClaw serves two distinct user groups with complementary needs.

Individuals Seeking Career Clarity: Professionals who want a structured way to understand their capabilities and make informed career decisions benefit from the assessment-driven profile building. The Career Graph serves as a reference point when exploring new opportunities, preparing for interviews, or evaluating career transitions. Instead of manually compiling your story each time, the profile does it once and stays current.

AI Agent Developers and Power Users: Developers building or using AI agents for professional tasks can integrate ProfileClaw to give those agents persistent context about the user. Rather than prompting the agent to ask about background every session, the profile provides this information upfront. This reduces token consumption and improves response relevance for career-related tasks.

Agent Ecosystem

ProfileClaw integrates with a growing list of AI agents focused on professional tasks. Current supported integrations include QClaw (Tencent's AI agent), OpenClaw, Zero Claw Labs, Claude Code, OpenCode, and OpenAI's Codex. Each integration uses the same profile data, so you build your Career Graph once and it works across agents.