Documentation · workflow

How VitaeContext works

Keep career context in files you can inspect. Use one focused method for the task in front of you.

Core workflow

Context first. Task second.

VitaeContext gives an agent a stable starting point instead of rebuilding career history inside every conversation.

  1. 01

    Gather trusted material

    Start with CVs, profile text, project notes, links, exports, and other material you can inspect.

  2. 02

    Create career context

    Use the context skill to organize facts, stated goals, evidence, constraints, and claims to avoid in Markdown.

  3. 03

    Retrieve only what is needed

    Use a bounded summary, the file itself, or MCP to provide selected context to another agent or system.

  4. 04

    Run the downstream task

    Let the destination tool apply its own method while keeping claims grounded in the supplied context.

What Career Context supplies

  • User-supplied roles, projects, education, and credentials.
  • Stated goals, interests, and preferred direction.
  • Proof links, constraints, and claims to avoid.
  • A reusable file that can be inspected and corrected.

What the downstream system supplies

  • The task-specific workflow.
  • Platform or document constraints.
  • The final output format and delivery surface.
  • Review steps specific to that task.

A maintained input

How is Career Context different?

Career Context is the broad, inspectable source supplied before a task. It is not another public profile or a provider-specific memory feature.

Career Context
A user-owned Markdown record of supplied facts, goals, evidence links, constraints, and claims to avoid. It can move between systems that accept supplied context.
Résumé or CV
A selective output for a particular role and audience. It uses only the relevant part of the broader Career Context.
LinkedIn or portfolio
A public professional surface. It can adapt the same supported material without copying every detail or using identical wording.
Provider memory
An external product feature whose storage, retrieval, portability, and privacy behavior depends on that provider.

Is Career Context private?

VitaeContext is a local CLI and readable Markdown skill package with no project backend collecting Career Context. You choose where the file lives and what to supply to an agent. After you share content with an external provider, that provider's data rules apply.

Read the project privacy policy

Does VitaeContext verify claims?

No. It organizes user-supplied facts, stated goals, proof references, and claims to avoid. Its skills tell agents to preserve those boundaries and flag missing evidence, but generated work can still contain errors and requires human review.

See the evidence model

Downstream prompt

Give the context and name the task.

The destination agent supplies the task method. VitaeContext supplies the factual starting point.

Use my Career Context file at
~/.vitaecontext/name-surname-career-context.md
as the source of truth for this application.

Tailor the draft to the role, but do not add claims
that are unsupported or marked as needing evidence.

Option A: Bounded summary

Run npx vitaecontext context summary <file> --for <task> to create a compact Markdown packet for the current workflow. This works well for manual chats and direct handoffs.

Option B: Cross-workspace MCP

Configure the stateless MCP server (npx -y vitaecontext mcp). Your AI coding assistants across all project repositories can query your private context and VitaeGraph dynamically without copying files.

Read the MCP server guide

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