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.
Documentation · workflow
Keep career context in files you can inspect. Use one focused method for the task in front of you.
Core workflow
VitaeContext gives an agent a stable starting point instead of rebuilding career history inside every conversation.
Start with CVs, profile text, project notes, links, exports, and other material you can inspect.
Use the context skill to organize facts, stated goals, evidence, constraints, and claims to avoid in Markdown.
Use a bounded summary, the file itself, or MCP to provide selected context to another agent or system.
Let the destination tool apply its own method while keeping claims grounded in the supplied context.
A maintained input
Career Context is the broad, inspectable source supplied before a task. It is not another public profile or a provider-specific memory feature.
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.
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.
Downstream prompt
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.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.
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.