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Doncheli Api Contract

Community
doncheli
doncheli-api-contract

Design complete API contracts covering endpoints, auth, rate limiting, error handling, retries, circuit breaker and idempotency. Activate when user mentions "api contract", "api design", "endpoint", "webhook", "REST", "GraphQL", "OpenAPI", "design the API".

Overview

Publisherdoncheli
Repositorydon-cheli-sdd
Skill namedoncheli-api-contract
Stars
59
Forks
12
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by doncheli on GitHub. Read the source before you install it.

Installation

Install the Doncheli Api Contract AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/doncheli/don-cheli-sdd/tree/main/.agent/skills/doncheli-api-contract
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/doncheli/don-cheli-sdd.git /tmp/don-cheli-sdd
mkdir -p .claude/skills
cp -r /tmp/don-cheli-sdd/.agent/skills/doncheli-api-contract .claude/skills/doncheli-api-contract
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Doncheli Api Contract in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Doncheli Api Contract on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Doncheli Api Contract is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Don Cheli: API Contract Designer

Instructions

  1. Identify the API style: REST, GraphQL, gRPC, Webhook, or mixed
  2. For each resource/operation, define:
    • Method + path (REST) or operation name (GraphQL/gRPC)
    • Request schema: headers, path params, query params, body
    • Response schemas: success + all error cases
  3. Design cross-cutting concerns:
    • Auth: mechanism (JWT, OAuth2, API Key, mTLS), scopes, token lifetime
    • Rate limiting: strategy (token bucket / leaky bucket), limits per tier, headers exposed
    • Error handling: standard error envelope, HTTP status mapping, error codes catalog
    • Retries: which operations are safe to retry, backoff strategy, max attempts
    • Circuit breaker: thresholds, half-open probe, fallback behavior
    • Idempotency: which operations require idempotency keys, TTL, conflict semantics
  4. Define versioning strategy (URL path, header, or content negotiation)
  5. Flag breaking vs. non-breaking changes policy

Output Format

## API Contract: <service/feature name>

### Style & Version
- Protocol: REST / GraphQL / gRPC / Webhook
- Base URL: …
- Version: v1 (strategy: <path/header/content-negotiation>)

### Endpoints / Operations

#### <METHOD> <path>
**Purpose:** …
**Auth required:** yes/no — scope: …
**Request:**
```json
{
  "field": "type — description"
}

Response 200:

json
{ … }

Error responses:

StatusCodeMeaning
400INVALID_INPUT…
409CONFLICT…

Idempotency: required / not required — key:


Cross-Cutting Concerns

Auth: … Rate Limiting: X req/min per API key; headers: X-RateLimit-Remaining, X-RateLimit-Reset Retry Policy: safe methods (GET, PUT, DELETE) — exponential backoff, max 3 attempts Circuit Breaker: open at 50% error rate over 10s window; half-open probe after 30s Error Envelope:

json
{ "error": { "code": "…", "message": "…", "trace_id": "…" } }

Breaking Change Policy

  • Breaking: removing fields, changing types, removing endpoints → requires major version bump
  • Non-breaking: adding optional fields, new endpoints → compatible within same version

## Quality Gate

- Every endpoint must have at least one documented error response
- Idempotency policy must be explicit (required or not required) for every mutating operation
- Auth scopes must be listed for every endpoint that requires authentication
- Rate limit headers must be named consistently across all endpoints

## Do not use this skill when

- The API already exists and the user wants to review it (use doncheli-review instead)
- The user only wants implementation, not contract design (use doncheli-implement instead)

Frequently asked questions

What does the Doncheli Api Contract AI skill do?

Design complete API contracts covering endpoints, auth, rate limiting, error handling, retries, circuit breaker and idempotency. Activate when user mentions "api contract", "api design", "endpoint", "webhook", "REST", "GraphQL", "OpenAPI", "design the API".

Why use Doncheli Api Contract on TypingMind?

Because you install it once and use it with any model. Doncheli Api Contract is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Doncheli Api Contract in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/doncheli/don-cheli-sdd/tree/main/.agent/skills/doncheli-api-contract. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Doncheli Api Contract?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Doncheli Api Contract?

As many as you like. As long as a model supports skills, you can use Doncheli Api Contract with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Doncheli Api Contract AI skill free?

Yes. It is published on GitHub by doncheli under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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