VitaeContext
VitaeGraphGitHub

The career context layer for AI work

Keep your career context.
Reuse it across AI.

Create the private, reusable career context that comes before AI-assisted CVs, applications, profiles, and other career work. Keep facts, goals, evidence, and boundaries precise, then use them in any provider or system that accepts context.

Install VitaeContextSee context example
  • Local Markdown files
  • 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 ContextPrivate, maintained source of truth
03Any career systemAgents, CV tools, application workflows, drafts

VitaeContext works before the task. It prepares the context that other tools and agents use.

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
Verified 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.

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
Explore VitaeGraph View graph commands
~/.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 evidence and skills
EX
experience/role.mdrelated to project and publication
contains relatedSmall records. Explicit links.

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.
Install VitaeContextView source on GitHub