Skip to main content

Career-transition & reskilling domain plugin for the OakQuant timber substrate.

Project description

oak-domain-career

A career-transition & reskilling domain for the OakQuant platform — the third domain built on Timber's plugin system, and the platform's counter-cyclical pillar.

License: Apache 2.0 Python 3.11+ Status: Career DNA built

Career DNA is built across all three layers (v0.1.0), not yet deployed. The spine capability — assessment models + service + pure scoring engine + flow config + grove endpoints (/api/v3/career) + acorn coach tool — is real and tested (43 tests green). It plugs into timber/grove/acorn at runtime via the entry-point registries with no edits to any sibling repo (ADR-0003). It is not published to PyPI and not installed anywhere: merging 0.1.0 to main triggers the publish, and installing into the grove/acorn images + adding a sky assessment page are the approval-gated go-live steps. The other three flows (layoff-triage / land-a-role / reskill) remain scaffolds. See docs/STATUS.md.

What it is

oak-domain-career is a discoverable Timber domain plugin. Installing it will add a career-transition capability to an OakQuant deployment; leaving it out is a no-op. Like the other two domains it is fully additive and opt-in — it ships its own models, services, and integration points and wires them into the platform's shared registries at startup, with no edits to the core Timber, Grove, or Acorn libraries.

Why career transition — the counter-cyclical pillar

OakQuant's portfolio thesis is one engine across the whole economic cycle:

Domain Cycle role Seat
investments boom — grows when markets do B2C advice
legal-intake altruistic foundation — access to justice B2B2C workflow
career (this) bust — demand rises when people lose work B2C self-serve

Career transition is counter-cyclical: layoffs are the demand signal. It is the domain "everyone needs in a bust," and it runs on the same seams as the other two — assessment → goal → workflow → outcome, with a continuous-learning loop closing on real placement data.

See docs/00-ambition.md for the full thesis, and research/ for the market, competitive, funding, and monetization analysis that this plan is built on.

The first release (R1) — four flows, one arc

R1 is deliberately a full arc rather than a single feature, because the flows chain off a shared spine (Career DNA feeds the other three):

  1. Career DNA — a HITL behavioral + skills assessment → persona, skill-gap map, and a readiness/risk score. The root the other three consume. (Mirrors Financial DNA.)
  2. Layoff triage (first 72 hrs) — the counter-cyclical entry point: just-laid-off intake → benefits/runway math → an immediate, routed action plan with SLAs.
  3. Land your next role — a CareerGoal with a deadline-driven application pipeline, résumé/brand imagery, and interview-prep video.
  4. Reskill pathway — an adaptive learning path with mastery tracking — the tightest continuous-learning loop.

Start with the product narrative: docs/application-flows-and-benefits.md — every flow as Who / How / Benefit, with a visual SVG process diagram each. Internal flow detail: docs/02-flows.md.

The plugin shape

This package plugs into all three OakQuant layers through one entry point per layer. Each layer discovers only its own entry-point group and imports only that entry point's module — so the Timber layer never pulls in Grove/FastAPI or Acorn.

Layer Entry-point group Object Contributes
Timber timber.domains oak_domain_career:CareerDomain ORM models + assessment / pathway / job-search / triage / outcome services
Grove grove.domains oak_domain_career.grove_plugin:CareerGroveDomain FastAPI router under /api/v3/career
Acorn acorn.domains oak_domain_career.acorn_plugin:CareerAcornDomain career-coach assistant profile + agent tools

Repository layout

oak-domain-career/
├── README.md · LICENSE · pyproject.toml · CHANGELOG.md · .gitignore
├── .github/workflows/release.yml     # PyPI Trusted-Publishing on version bump (parity w/ siblings)
├── docs/                             # product narrative + SVG diagrams, ambition, plan, architecture, ADRs
│   ├── application-flows-and-benefits.md   # ← flagship user-facing doc (Who/How/Benefit + diagrams)
│   ├── funded-training-and-benefits-resources.md
│   └── diagrams/                     # generated SVG process diagrams (generate.mjs)
├── research/                         # competitive / funding / market / monetization / regulatory
├── oak_domain_career/                # the package skeleton (contracts + TODOs, no behavior yet)
│   ├── domain.py  models.py  grove_plugin.py  acorn_plugin.py
│   ├── calendar_taxonomy.py  routing_seed.py
│   └── services/                     # assessment / pathway / job_search / triage / outcome / calendar / routing
├── tests/                            # discovery test skeleton
└── config/                           # future Tier-1 config dir (grove.feature_packages)

Relationship to the other domain repos

Stored on GitHub exactly like its siblings under the oakquant-ai org (github.com/oakquant-ai/oak-domain-career), same main default branch, same root files, same .github/workflows/release.yml, same package/tests layout. See docs/03-architecture.md for what it reuses from oak-domain-investments (Financial DNA, the adaptive engine, Plaid, calendar generators) versus what is net-new.

Status & next steps

This is a planning repository. The build sequence, open questions, and the (future) integration checkpoints that will require touching other repos are tracked in docs/STATUS.md.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

oak_domain_career-0.3.2.tar.gz (108.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

oak_domain_career-0.3.2-py3-none-any.whl (63.6 kB view details)

Uploaded Python 3

File details

Details for the file oak_domain_career-0.3.2.tar.gz.

File metadata

  • Download URL: oak_domain_career-0.3.2.tar.gz
  • Upload date:
  • Size: 108.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for oak_domain_career-0.3.2.tar.gz
Algorithm Hash digest
SHA256 2acade97feb1afd21826691cc62115c1a1f9a5e10358cc62d2016300583bdc0b
MD5 c4babe58670303181dd5c71f471737ba
BLAKE2b-256 538959612d3f66dd595732a9bb284ddbc1f126e89bcc14f362565473e2d3af62

See more details on using hashes here.

Provenance

The following attestation bundles were made for oak_domain_career-0.3.2.tar.gz:

Publisher: release.yml on oakquant-ai/oak-domain-career

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file oak_domain_career-0.3.2-py3-none-any.whl.

File metadata

File hashes

Hashes for oak_domain_career-0.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 072ac4bdb46eac867b3f838f7beb2b67af29f7cab156f8426baccf4d1cb888d0
MD5 d1e34aef38720934c95e579714005ef5
BLAKE2b-256 4078386651ef8f998c253adea69a15a914d3f7c2fe1e1740a541c28345dc9a1a

See more details on using hashes here.

Provenance

The following attestation bundles were made for oak_domain_career-0.3.2-py3-none-any.whl:

Publisher: release.yml on oakquant-ai/oak-domain-career

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page