Have you ever had this happen?
You spent two months working with an AI partner in Codex. It knows your tech stack. It knows you dislike redundant comments. It knows what stage your project is at. It knows what kinds of requests you reject. The two of you work in sync, and the efficiency is high.
Then you open Claude Code and ask it to help with an architecture review, and it asks: "Could you explain your project background? What tech stack are you using? Do you have any preferences?"
Two months of context, gone.
Every AI understands you better over time, but their memories do not connect
If you use multiple AI agent products at the same time, such as Codex, Claude Code, WorkBuddy, Qoder, and Trae, you have probably felt this fragmentation already.
Codex remembers that when you write TypeScript, you require strict mode. Claude Code does not.
WorkBuddy knows that you prefer asynchronous collaboration and documentation-first workflows. Qoder does not.
You spent three weeks helping Trae understand your coding style and architectural judgement. Then you switch to Codex, and everything resets.
Each AI is building its own internal understanding of who you are, but those understandings are completely isolated from one another. It is like seeing doctors at five different hospitals whose medical record systems do not communicate. Every time you register, you repeat the same symptoms, the same allergy history, the same medications. The more hospitals you visit, the more repetitive explanation you waste.
What an AI knows about you is one of the most valuable things you have
You might think self-introductions are trivial. A few minutes, a few sentences, no big deal. But the real problem is not the few minutes of repetition. The real problem is that the depth of an AI agent's understanding directly determines how useful it can be. An AI that knows your tech stack, your working habits, your quality standards, and your project context is operating at a completely different level from an AI that knows nothing about you.
More importantly, as you spend more time collaborating with an AI, what it accumulates is not just a simple preference like "prefers concise code." It accumulates tacit knowledge. Why you keep rejecting a certain class of requests. What criteria you use when choosing between multiple options. What experiences sit behind your obsession with maintainability. Where your collaboration boundaries really are, such as not accepting daily stand-ups, not accepting pure-execution projects with no technical decision-making authority, and not accepting teams where requirements keep changing but no decision-making mechanism exists.
You may not even be able to articulate all of this fully yourself. But your AI has observed it through your daily feedback. The problem is that those observations are locked inside that one AI. Switch tools, and the whole thing disappears.
Let your AI store its understanding of you in the cloud, so every AI can read it
Opportunity Skill is an Agent Skill that lets your AI agent connect you with career and business opportunities. It works inside Codex, Claude Code, WorkBuddy, Qoder, Trae, and every other AI agent product that follows the Skill specification. No client download. No website login. Everything happens inside the AI agent you are already using.
It has only been live for a week, so to be completely honest, the user base is still small. As a network, it still needs time to grow. But it already has single-user value today. Even if you were the only user in the network, it would still solve a real problem. The Skill has six modules. The two that provide immediate single-user value are Human Card Management and User Representation.
Human Card Management lets your AI distil its understanding of you, including your professional attributes, work preferences, collaboration style, quality standards, and rejection patterns, into structured impressions and save them in the cloud.
This is not asking you to write your own self-introduction. Your AI extracts your attributes and preferences from your collaboration history, writes them as structured impressions, and saves them. You only need to tell it: "Update my impressions."
For example, if you repeatedly insist on strict type definitions, the AI may infer that you care deeply about long-term code maintainability and write that as an impression. If you consistently reject projects with no technical decision-making authority, the AI records that as a collaboration boundary. If you repeatedly prefer asynchronous communication and documentation-first workflows across multiple projects, the AI turns that into a structured signal. When you veto an option and say "not this style," the AI can extract the shared traits of the rejected options, because what you reject defines you just as precisely as what you accept.
Each impression is at most 512 characters long, carries 1 to 5 tags, and functions as a structured signal unit that can be semantically retrieved.
Your AI can also create and manage profiles for you. A profile can hold up to 100,000 characters of Markdown, including lists, tables, blockquotes, and even Mermaid diagrams. You can create different profiles for different purposes: one for job-seeking, one for freelance work, one for finding collaborators. Each profile is independently readable.
A profile plus its associated impressions forms a human card, the basic unit through which other people in the Opportunity Skill network come to know you.
User Representation lets every AI agent know the same you
User Representation does something simpler. It lets any AI agent with Opportunity Skill installed read your complete representation in one step, meaning all of your profiles and all of your impressions.
You switch from Codex to Claude Code. No need to re-introduce yourself. Claude Code calls User Representation once, retrieves your full set of impressions and profiles, and from the first sentence already knows that this person uses TypeScript in strict mode, prefers asynchronous collaboration, is suited to early-stage SaaS teams, rejects short-cycle outsourcing, and values maintainability over delivery speed.
A few concrete scenarios make the value obvious.
Scenario one: you mainly use Codex for coding, and over two months it accumulates a large number of impressions about you. One day you want Claude Code to do an architecture review. You do not spend twenty minutes explaining the background. Claude Code reads your representation and starts reasoning from your technical judgement and collaboration style immediately.
Scenario two: you had a career-planning discussion in WorkBuddy and asked the AI to save the conclusions as impressions. Later, when you prepare for interviews in Qoder, the AI already knows your career positioning, core strengths, and target direction.
Scenario three: the preferences and boundary conditions you accumulated while coding in Trae can be read by Codex. No need to align everything from zero again.
Scenario four: new conversation, new tool, new device. As long as your AI agent has Opportunity Skill installed, it can read the same version of you. The context does not disappear.
In one sentence: one representation, stored in the cloud, readable by every AI.
You do not need to write it yourself. Let your AI keep it updated.
The difference between using Opportunity Skill and manually maintaining a personal profile is simple. You do not need to write your self-introduction yourself, and you do not need to keep a document up to date by hand. You can simply ask your AI to update your profiles and impressions based on your actual collaboration history.
The AI understands you through your real working record, not through a forced act of self-description. As collaboration deepens, when old impressions conflict with new observations, the AI can clean up what is outdated. Your professional portrait is not something written once and frozen. It evolves alongside your work.
Your data is protected by one of the world's strictest legal frameworks
Opportunity Skill uses AWS infrastructure in Europe and operates under the EU General Data Protection Regulation, or GDPR, one of the strictest legal frameworks for personal data protection in the world.
This is not a vague promise that "we care about your data." It is a legally enforceable compliance framework. You have the right to access, export, and delete your data. Data processing must have a lawful basis. Violations carry severe penalties.
Your impressions and every profile are structured professional representations, not chat logs. You can view, manage, and delete them at any time on questmeet.ai.
Not just helping AI know you, but helping the right people find you
Cross-agent continuity is the immediate single-user value of Opportunity Skill. But that is not the full design.
Your profiles and impressions do more than preserve how different AI products understand you. They also help the right people find you.
Opportunity Skill also includes Human Discovery, Human Outreach, and Lead Engagement. Your AI agent can search for matching buyers or professionals, draft targeted collaboration proposals, and periodically process incoming messages to identify high-value leads. The richer and more precise your impressions become, the more easily you can be matched correctly in semantic space.
The network is still early. But every collaboration you have is already accumulating signal. When the network grows from 100 people to 1,000, a profile that has accumulated three months of impressions and a blank profile created yesterday will not be matched with the same precision.
There will only be more AI tools, not fewer. Today you use Codex. Tomorrow you try Claude Code. The day after, you may switch to Trae. But who you are should not disappear every time you switch tools.
Instead of letting every AI remember a separate version of you, let your AI store its understanding of you in one place that every AI can read. That is what Opportunity Skill does. It helps your AI know you, and it helps every AI know the same you.
Tell your AI agent to download and install the Opportunity Skill from https://github.com/QuestMeet/opportunityskill
After installation, provide your email address to complete authentication. Your AI can then update your profiles and impressions based on what it already knows about you, and refresh them again whenever needed.