The career context layer for AI work

Keep your career context.
Reuse it across AI.

VitaeContext is open-source career-context infrastructure for AI agents and career systems. It helps a person maintain reusable Career Context in Markdown, then provides focused agent skills for grounded CVs, profiles, applications, and other professional work.

The file stays under your control until you supply it to an external provider. VitaeContext structures supplied facts and evidence boundaries; it does not independently verify every claim or guarantee outcomes.

  • User-owned Markdown
  • Reusable context
  • Evidence boundaries
CV
GitHub
notes
your material
MD career-context.md

# Career context

## Facts
## Goals
## Experience
## Projects
## Claims to avoid
reusable source of truth
LinkedIngrounded
CVgrounded
Portfoliogrounded
professional tasks
Maintain the context once. Reuse it instead of rebuilding your history in every chat.

Context before automation

Career systems need good career information.

Systems that create applications, tailor CVs, or handle other career tasks need professional career information. If that information is incomplete or wrong, the whole workflow starts from a weak foundation.

01Career materialCVs, projects, experience, goals, proof
02 · VitaeContextCareer ContextUser-owned, maintained Markdown
03Any career systemAgents, CV tools, application workflows, drafts

VitaeContext works before the task. It is for people maintaining career information and for developers or agents that need precise context before professional work.

Why context first

Career information gets scattered.

CVs, profiles, project notes, and old chats often disagree or miss useful detail. A maintained context file gives each new task the same starting facts and direction.

CV-final-v7.pdf“Led product work…”last updated?
LinkedIn About“Building useful AI tools…”different wording
project-notes.mdLaunch date + proof linknot in profile
new AI chat“Tell me about yourself.”start again
MD
LOCAL · EDITABLE · PORTABLEcareer-context.md
Supported facts
identity, roles, projects, metrics
Stated direction
goals, target roles, interests
Proof
links, evidence, source notes
Boundaries
constraints and claims to avoid

Context supplies facts. Skills supply method.

Use the same context for different tasks.

Load one focused skill for the work in front of you. It adds task-specific structure and guidance without becoming another career record.

Reusable input
MDcareer-context.mdfacts + goals + evidence
Focused method
$vitaecontext-[skill]platform rules + workflow
Task output
Grounded workadapted, not invented

Context can also ground professional messages, interview preparation, and other career-related drafts in any AI chat. Choose a workflow by task if you are not sure where to start.

Keep claims supported

Change the writing, not the facts.

Rewriting often becomes more confident with every pass. VitaeContext tells agents to preserve supported claims, keep goals separate from verified experience, and flag evidence gaps before strengthening copy.

  • 01
    Use supported claimsBase work on supplied context and sources.
  • 02
    Keep evidence boundariesDo not turn intent or inference into experience.
  • 03
    Adapt for the surfaceChange structure and language, not facts.
SUPPORTED SOURCE

Built and maintains an open-source toolkit of portable agent skills.

Repeated rewrite

“Created a revolutionary career growth platform.”

Evidence disappeared
Context + skill

“Maintains an open-source toolkit of portable agent skills.”

Claim stays supported
VitaeGraphpowered by VitaeContext

Use separate records when one file is not enough.

VitaeGraph is the deeper structured-context module: local, human-readable Markdown records for projects, roles, education, courses, thesis work, certifications, awards, and publications, plus relationships between them.

Context fileFast facts and repeated positioning
VitaeGraphDetailed records and relationships
~/.vitaecontext/vitaegraph/
Graph summaryVITAEGRAPH.md

Identity, direction, and links to detailed records.

Markdown canonical

Detailed records

ED
education/degree.mdcontains thesis.md and course.md
PR
projects/search-tool.mdrelated to role and publication records
EX
experience/role.mdrelated to project and publication

Get started

Install, create context, choose a task.

VitaeContext installs as readable skills. Career context remains in files you choose and control until you supply it to an AI provider.

  1. 01

    Install for your agent

    npx vitaecontext install --provider codex

    Choose Codex, Claude Code, Gemini CLI, Antigravity, OpenCode, or a shared bundle.

    All providers
  2. 02

    Create the context template

    npx vitaecontext template context --output ~/.vitaecontext/name-surname-career-context.md

    Choose a private location, then ask the context skill to organize trusted career material.

    View example
  3. 03

    Name one skill and task

    $vitaecontext-github
    Audit my profile using my career context file.

    Reference the context, invoke the focused skill, and ask for the work directly.

    Usage guide
OPEN SOURCE · MIT LICENSEGive each task a clear starting point.