SkillDock Python SDK and CLI

skilldock is an OpenAPI-driven Python client (and a CLI) for the SkillDock API.

It loads the OpenAPI spec at runtime and exposes:

A Python SkilldockClient that can call any operationId
A CLI that can list available operations and call them from your terminal

Install

pip install skilldock

Quickstart (CLI)

List operations from the OpenAPI spec:

skilldock ops

The first column is a python-friendly python_name you can use as client.ops.<python_name>(...).

Authenticate (browser login + polling):

skilldock auth login

This starts a CLI auth session on the API, prints an auth_url, opens it in your browser, then polls until it receives an app-issued access_token and saves it as the CLI token. After login succeeds, the CLI now also lists your personal API tokens automatically. If no active personal tokens exist, it creates one and saves it as your default CLI token for future requests. Access tokens are short-lived; if you see auth errors later, run skilldock auth login again.

Create a long-lived personal API token (recommended for CI and to avoid short-lived JWT expiry):

# Prints the token (shown only once by the API) and saves it into the CLI config.
skilldock tokens create --save

# List your tokens
skilldock tokens list

CLI output is rendered with Rich tables/formatting for better readability.

Call an endpoint by operationId:

skilldock call SomeOperationId --param foo=bar --json '{"hello":"world"}'

Search skills:

skilldock skills search "docker"

skills search uses POST /v2/search and returns the same listing contract shape (page, per_page, items, has_more).

Search output includes LATEST_VERSIONS from each skill's embedded latest_releases (up to 5 items).

Get a single skill (latest metadata + latest description source):

skilldock skills get acme/my-skill

Get one exact release by version (source of truth for versioned descriptions):

skilldock skills release acme/my-skill 0.1.0

Browse release history page-by-page:

skilldock skills releases acme/my-skill --page 1 --per-page 10

Commerce sell/buy flow (TON + Stripe):

# 1) Seller setup
# Stripe Connect Express onboarding (first run)
skilldock skills stripe-connect-start --country US
# Or resume/check later
skilldock skills stripe-connect-status

# Payout methods
skilldock skills set-ton-wallet --ton-wallet-address UQ...
skilldock skills set-stripe-payout --stripe-account-id acct_1ABCDEF... --stripe-account-label "Stripe Express"
skilldock skills payout-methods

# Mark the skill as sellable
skilldock skills set-commerce acme/my-skill --is-for-sale true --visibility private --selling-description-md "What buyer sees"

# Dual-rail pricing (set either or both)
skilldock skills set-price acme/my-skill --pricing-mode fixed_usd --price-usd 29.00
skilldock skills set-price acme/my-skill --pricing-mode fixed_ton --price-ton 2.750000000

# 2) Buyer invoice create/reuse
skilldock skills buy acme/my-skill --payment-provider stripe
skilldock skills buy acme/my-skill --payment-provider ton --referral-code a
skilldock skills buy acme/my-skill
# If omitted, the backend can choose the default payment rail.

# 3) Poll invoice until paid/expired/cancelled
skilldock skills buy acme/my-skill --payment-provider stripe --poll
# or check a known invoice id
skilldock skills invoice <invoice_id>

# 4) Seller balances / payouts
skilldock skills balance
skilldock skills balance-transactions --page 1 --per-page 20
skilldock skills request-payout --amount-usd 25.00 --payout-method-kind stripe
skilldock skills payout-requests --page 1 --per-page 20

# 5) Confirm inventory
skilldock skills bought --page 1 --per-page 20

Get author profile details and authored skills (paginated):

skilldock users get 123 --page 1 --per-page 20

Install a skill locally (default destination is ./skills, with recursive dependency resolution):

Public skills can be installed without auth. If a token is configured, the CLI sends it for skill discovery/install flows so private skills can be resolved when authorized.

# latest
skilldock install acme/my-skill

# exact version
skilldock i acme/my-skill --version 1.2.3

# custom local destination
skilldock install acme/my-skill --skills-dir /path/to/project/skills

# include chained/underlying causes in error output
skilldock install acme/my-skill --verbose-errors

When install cannot proceed (for example private/deleted skill, no matching release, paid skill access required), warnings/errors include detailed reasons.

Uninstall a direct skill and reconcile/remove no-longer-needed dependencies:

skilldock uninstall acme/my-skill

Verify a local skill folder (packages a zip and prints sha256/size):

skilldock skill verify .

Upload a new skill release:

skilldock skill upload --namespace myorg --slug my-skill --version 1.2.3 --path .

# Explicit private publish
skilldock skill upload --namespace myorg --slug my-skill --version 1.2.3 --path . --visibility private

This packages the folder into a zip and uploads it as multipart form field file. For this registry, tags are read by the backend from SKILL.md frontmatter inside the uploaded zip. There is no separate upload tags field (or CLI --tag flag) for publish. Release versions are immutable: if you change SKILL.md (including description), publish a new version. Re-publishing the same version for the same skill returns a conflict.

---
name: my-skill
description: Does X
version: 1.2.0
tags:
  - productivity
  - automation
  - cli
---

Tag values should be strings; non-string values are ignored by the backend. The CLI packages upload archives with top-level folder name equal to --slug, so keep frontmatter name aligned with your slug.

If your API supports release dependencies, you can pass them from CLI too:

# Repeatable string form:
skilldock skill upload --namespace myorg --slug my-skill --path . \
  --dependency "core/base-utils@^1.2.0" \
  --dependency "tools/lint@>=2.0.0 <3.0.0"

# JSON form (array or map), inline or from file:
skilldock skill upload --namespace myorg --slug my-skill --path . \
  --dependencies-json @dependencies.json

If you haven't created the namespace yet:

skilldock namespaces create myorg
skilldock namespaces list

Low-level request (method + path, bypassing operationId):

skilldock request GET /health

Quickstart (Python)

from skilldock import SkilldockClient

client = SkilldockClient(
    # Optional: override if needed
    openapi_url="https://api.skilldock.io/openapi.json",
    # base_url="https://api.skilldock.io",
    token=None,  # set after `skilldock auth login`
)

ops = client.operation_ids()
print("operations:", len(ops))

# Call by operationId (params are split into path/query/header based on OpenAPI metadata)
result = client.call_operation("SomeOperationId", params={"id": "123"})
print(result)

# Or call by a generated python-friendly name:
# (see `skilldock ops` output and use the `python_name`-like identifier)
# result = client.ops.someoperationid(id="123")

client.close()

Description Versioning

The registry now stores description_md per release version.

Publish flow:
- Build/upload the zip with the intended SKILL.md content for that version.
- Publish a new version each time description changes (for example, 0.1.0 -> 0.1.1).
Read flow:
- Exact version description: GET /v1/skills/{namespace}/{slug}/releases/{version} and use release.description_md.
- Latest overview: GET /v1/skills/{namespace}/{slug} and prefer latest_release.description_md.
Backward compatibility:
- skill.description_md still reflects current/latest description.
- Fallback order when release description is empty:
  1. release.description_md
  2. skill.description_md
  3. empty state

Configuration

The CLI stores config (including token) in a local JSON file:

skilldock config path
skilldock config show

You can set config values:

skilldock config set --base-url https://api.skilldock.io --openapi-url https://api.skilldock.io/openapi.json
skilldock config set --token "YOUR_TOKEN"

Environment variables (override config):

SKILLDOCK_OPENAPI_URL
SKILLDOCK_BASE_URL
SKILLDOCK_TOKEN
SKILLDOCK_TIMEOUT_S

Authentication Notes (Google)

This SDK assumes the API accepts a token in an HTTP header (usually Authorization: Bearer <token>). The exact details are derived from the OpenAPI securitySchemes when present.

The SkillDock API can accept (depending on server configuration):

Google ID token (JWT)
App-issued access token (JWT, returned by the CLI OAuth flow)
Personal API token (opaque string, created via skilldock tokens create)

skilldock auth login works like this:

Creates a CLI auth session via POST /auth/cli/sessions
Prints the returned auth_url and opens it in your browser
After you complete Google login, the backend approves the session
The

Skilldock.io

Install / Use

README