agentleFS
apideck-librariesapideck-libraries/api-skills/skills/azure-devops/SKILL.md

azure-devops

Skill4 starsChanged 3 months agoApache-2.0View on GitHub

Azure DevOps via Apideck's Proxy API + managed Vault auth — Apideck handles auth and proxies HTTP calls to Azure DevOps's native API. Use when the user wants to call Azure DevOps (no unified API resource mapping). Routes through Apideck with serviceId "azure-devops".

  • Reads credentials

12 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 12 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If you need a unified-API surface (one method shape across many vendors), see the connector skills in this catalog whose serviceId is …

    line 43

“Common” is measured: kept by at least 6 in 10 of the 12 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Azure DevOps (via Apideck Proxy)

Access Azure DevOps through Apideck's Proxy API with managed Vault auth. Apideck stores credentials, refreshes tokens, and forwards your HTTP calls to Azure DevOps's native API — you keep using Azure DevOps's own request and response shapes, while Apideck eliminates per-tenant credential plumbing and gives you a single auth integration shared across every Apideck connector.

Auth-only / proxy-only connector. Apideck does not map Azure DevOps to a unified-API resource model — your code talks Azure DevOps's own API directly through the Proxy. You still get Vault credential storage, token refresh, retries, and a consistent request envelope.

Quick facts

When to use this skill

Activate this skill when the user wants to call Azure DevOps via Apideck — for example, "call the Azure DevOps API" or "fetch data from Azure DevOps". This skill teaches the agent:

  1. That Azure DevOps routes through Apideck's Proxy API, not a unified resource API
  2. The correct serviceId to pass on every call (azure-devops)
  3. How to keep using Azure DevOps's native request/response shapes while Apideck handles Vault auth

If you need a unified-API surface (one method shape across many vendors), see the connector skills in this catalog whose serviceId is mapped to a unified API.

Auth

  • Type: Basic auth (username/password)
  • Managed by: Apideck Vault — credentials are collected through the Vault modal and stored encrypted server-side.
  • Note: basic auth connectors often require manual rotation by the end user. If auth fails persistently, prompt them to re-enter credentials in Vault.

Calling Azure DevOps via the Proxy API

Send any HTTP request to https://unify.apideck.com/proxy. Apideck looks up the user's stored Azure DevOps credentials by x-apideck-consumer-id + x-apideck-service-id, injects them on the way out, and returns Azure DevOps's raw response.

curl 'https://unify.apideck.com/proxy' \
  -H "Authorization: Bearer ${APIDECK_API_KEY}" \
  -H "x-apideck-app-id: ${APIDECK_APP_ID}" \
  -H "x-apideck-consumer-id: ${CONSUMER_ID}" \
  -H "x-apideck-service-id: azure-devops" \
  -H "x-apideck-downstream-url: <target endpoint on Azure DevOps>" \
  -H "x-apideck-downstream-method: GET"

For POST/PATCH/PUT/DELETE, change x-apideck-downstream-method and pass the body as you would to Azure DevOps directly. Apideck does not transform the body — it forwards bytes.

See Azure DevOps's API docs for available endpoints.

See also

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.