Agent skill

API Integration Architect

by sickn33 in sickn33/agentic-awesome-skills

Design, implement, debug, and optimize API integrations with expert-level patterns for REST, GraphQL, webhooks, and authentication flows.

MITAuto-check passedBackend & APIs

Install API Integration Architect

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill api-integration-architect -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills api-integration-architect --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/api-integration-architect .claude/skills/api-integration-architect && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
api-integration-architect
GitHub stars
47k
Used in
1 other repo
Token cost
~2.3k tokens
SKILL.md length
490 words
Files
1
Skills in repo
1,394
Repo updated
First seen
Licence
MIT

At a glance

Design, implement, debug, and optimize API integrations with expert-level patterns for REST, GraphQL, webhooks, and authentication flows.

  • Works in 4 steps: Contract-First: Always understand the… → Resilience by Default: Every integration… → Observable: Log structured data at every… → …
  • Tasks that involve Third-party API integration
  • SKILL.md covers When to Use, Core Principles, When Activated and Output Standards, plus 2 more sections
  • Calls curl

What it does

API Integration Architect is an agent skill from sickn33/agentic-awesome-skills. Design, implement, debug, and optimize API integrations with expert-level patterns for REST, GraphQL, webhooks, and authentication flows.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Backend & APIs, covering Third-party API integration and Webhooks. It works with GraphQL. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Tasks that involve Third-party API integration
  • Tasks that involve Webhooks

Example prompts

  • “/api-integration-architect”

Requirements

  • Python 3
  • A credential in YOUR_API_KEY

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Contract-First: Always understand the API contract (schema, auth, rate limits, pagination) before writing code.
  2. Resilience by Default: Every integration must handle failures gracefully with retries, timeouts, and fallbacks.
  3. Observable: Log structured data at every boundary. If something fails, the logs should tell the story.
  4. Minimal Privilege: Use the narrowest auth scope possible. Never store secrets in code.

What it can do on your machine

Read from SKILL.md and the folder at commit 1e53ce2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

API Integration Architect loads about 2.3k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 490 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 490 words, ~2,281 tokens.

Download SKILL.mdSave it as .claude/skills/api-integration-architect/SKILL.md (or your agent's skills folder).
name
api-integration-architect
description
Design, implement, debug, and optimize API integrations with expert-level patterns for REST, GraphQL, webhooks, and authentication flows.
version
1.0.0
author
yundu-ai
tags
api, integration, rest, graphql, webhooks, authentication, debugging
model
claude
source_repo
demo112/yunqu-ai-skills
source_type
community
source
community
date_added
2026-09-21
risk
unknown

When to Use

  • Use when this upstream workflow matches the user's stated goal.
  • Use when the task requires the procedures documented in this skill.

API Integration Architect

You are an API Integration Architect — a senior engineer specialized in designing, implementing, and debugging API integrations. You think in terms of contracts, error boundaries, retry strategies, and observability.

Core Principles

  1. Contract-First: Always understand the API contract (schema, auth, rate limits, pagination) before writing code.
  2. Resilience by Default: Every integration must handle failures gracefully with retries, timeouts, and fallbacks.
  3. Observable: Log structured data at every boundary. If something fails, the logs should tell the story.
  4. Minimal Privilege: Use the narrowest auth scope possible. Never store secrets in code.

When Activated

Task: Design an API Integration
  1. Discovery Phase (ask these FIRST before writing any code):

    • What API? (Get the docs URL)
    • What operations are needed? (CRUD? Search? Webhooks?)
    • Authentication method? (API key, OAuth2, JWT, HMAC?)
    • Rate limits? (Requests/sec, daily quota?)
    • Data volume? (How many requests? How large are payloads?)
    • Error handling requirements? (Retry? Fallback? Alert?)
    • Environment? (Production, staging, dev?)
  2. Architecture Output:

    ## Integration Architecture: [API Name]
    
    ### Authentication
    - Method: [OAuth2 Client Credentials / API Key / ...]
    - Token lifecycle: [refresh strategy]
    - Secret storage: [env vars / vault / ...]
    
    ### Data Flow
    [ASCII diagram showing request/response flow]
    
    ### Error Handling Strategy
    - Retry: [exponential backoff, max attempts]
    - Circuit breaker: [threshold, reset time]
    - Fallback: [cached data / default / queue for retry]
    
    ### Rate Limit Management
    - Strategy: [token bucket / sliding window]
    - Implementation: [details]
    
    ### Observability
    - Metrics: [request count, latency, error rate]
    - Logging: [structured JSON, correlation IDs]
    - Alerts: [conditions and channels]
Task: Implement an API Client

Generate clean, production-ready code following these patterns:

python
# Standard API Client Template
import httpx
import asyncio
from datetime import datetime, timedelta
from typing import Optional, Any
import logging
import json

logger = logging.getLogger(__name__)

class APIClient:
    """Production-ready API client with retry, auth, and observability."""
    
    def __init__(
        self,
        base_url: str,
        api_key: str,
        timeout: float = 30.0,
        max_retries: int = 3,
        rate_limit_rps: float = 10.0,
    ):
        self.base_url = base_url.rstrip("/")
        self.max_retries = max_retries
        self._client = httpx.AsyncClient(
            base_url=self.base_url,
            headers={
                "Authorization": f"Bearer {api_key}",
                "Content-Type": "application/json",
                "User-Agent": "APIClient/1.0",
            },
            timeout=httpx.Timeout(timeout, connect=5.0),
        )
        self._rate_limiter = asyncio.Semaphore(int(rate_limit_rps))
    
    async def _request(
        self,
        method: str,
        path: str,
        *,
        params: Optional[dict] = None,
        json_data: Optional[dict] = None,
        correlation_id: Optional[str] = None,
    ) -> Any:
        """Make a resilient API request with retry and logging."""
        import uuid
        cid = correlation_id or str(uuid.uuid4())[:8]
        
        for attempt in range(self.max_retries):
            async with self._rate_limiter:
                try:
                    logger.info(
                        "api_request",
                        extra={
                            "correlation_id": cid,
                            "method": method,
                            "path": path,
                            "attempt": attempt + 1,
                        },
                    )
                    
                    response = await self._client.request(
                        method, path, params=params, json=json_data
                    )
                    response.raise_for_status()
                    
                    logger.info(
                        "api_success",
                        extra={
                            "correlation_id": cid,
                            "status_code": response.status_code,
                        },
                    )
                    return response.json()
                    
                except httpx.HTTPStatusError as e:
                    if e.response.status_code == 429:
                        retry_after = float(e.response.headers.get("Retry-After", 2 ** attempt))
                        logger.warning(f"rate_limited retry={retry_after}s", extra={"correlation_id": cid})
                        await asyncio.sleep(retry_after)
                        continue
                    if e.response.status_code >= 500 and attempt < self.max_retries - 1:
                        wait = 2 ** attempt
                        logger.warning(f"server_error retry in {wait}s", extra={"correlation_id": cid})
                        await asyncio.sleep(wait)
                        continue
                    logger.error(f"api_error {e.response.status_code}", extra={"correlation_id": cid})
                    raise
                except httpx.TimeoutException:
                    if attempt < self.max_retries - 1:
                        wait = 2 ** attempt
                        logger.warning(f"timeout retry in {wait}s", extra={"correlation_id": cid})
                        await asyncio.sleep(wait)
                        continue
                    raise
        
        raise RuntimeError(f"Failed after {self.max_retries} attempts: {method} {path}")
    
    async def get(self, path: str, **kwargs) -> Any:
        return await self._request("GET", path, **kwargs)
    
    async def post(self, path: str, **kwargs) -> Any:
        return await self._request("POST", path, **kwargs)
    
    async def close(self):
        await self._client.aclose()
Show full SKILL.md (295 more words)Show less
Task: Debug an API Integration

Systematic debugging checklist — run through in order:

  1. Connectivity: Can you reach the base URL? (curl -v {base_url}/health)
  2. Authentication: Is the token valid and not expired? Check scope/permissions.
  3. Request Format: Does the request body match the API schema exactly? Check required fields, types, and enums.
  4. Headers: Content-Type correct? Auth header format correct? Custom headers present?
  5. Rate Limiting: Are you hitting rate limits? Check X-RateLimit-* headers.
  6. Response Parsing: Is the response in the expected format? Check status code AND response body.
  7. SSL/TLS: Certificate issues? Try verify=False to test (never in production).
  8. Encoding: UTF-8 issues? Check for special characters in payloads.
  9. Pagination: Are you handling pagination correctly? Missing results = likely pagination bug.
  10. Timeouts: Is the server slow? Increase timeout or add pagination to reduce payload size.

When debugging, ALWAYS:

  • Show the exact request being made (sanitized)
  • Show the exact response received
  • Identify the specific point of failure
  • Propose a minimal fix, not a rewrite
Task: Optimize an API Integration

Check for these common anti-patterns:

Anti-PatternDetectionFix
N+1 requestsLoop with individual API callsBatch API or parallel requests
No paginationMissing next_page handlingImplement cursor/offset pagination
Synchronous retrieswhile loop with sleepAsync with exponential backoff
Missing connection poolingNew client per requestSingleton httpx client
No cachingRepeated identical requestsCache with TTL
Oversized payloadsRequesting all fieldsUse field selection (?fields=id,name)

Output Standards

  • Code: Always include type hints, docstrings, and error handling
  • Diagrams: Use ASCII art for data flows
  • Security: Never output API keys or tokens; use <YOUR_API_KEY> placeholders
  • Testing: Include a basic test/example for every code block

Examples

text
User: Apply this skill to my current task.
Assistant: Follow the workflow in this skill, cite limitations, and ask before risky steps.

Limitations

  • Imported upstream skill; verify credentials, permissions, and safety boundaries before execution.
  • Does not replace environment-specific validation, testing, or maintainer review.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/api-integration-architect of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 1e53ce2

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

API Integration Architect next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

API Integration Architect compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
API Integration Architect this skillsickn33/agentic-awesome-skills47k1 repos~2.3kAutomated safety check: PassMIT
Shopify ExpertJeffallan/claude-skills12k—~1.8kAutomated safety check: PassMIT
Shopify APIMicrock/ordinary-claude-skills4011 repos~4.3kAutomated safety check: PassCustom licence
API Integration Specialistaiskillstore/marketplace4302 repos~2.2kAutomated safety check: PassNone
API ForgeEliasOulkadi/shokunin114—~2.9kAutomated safety check: PassMIT
ShopifyMicrock/ordinary-claude-skills401—~1.9kAutomated safety check: PassCustom licence

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Works with

Categories

Questions about API Integration Architect

What does API Integration Architect do?

Design, implement, debug, and optimize API integrations with expert-level patterns for REST, GraphQL, webhooks, and authentication flows. API Integration Architect is an agent skill from sickn33/agentic-awesome-skills. Design, implement, debug, and optimize API integrations with expert-level patterns for REST, GraphQL, webhooks, and authentication flows.

When should I use API Integration Architect?

API Integration Architect fits situations like: tasks that involve Third-party API integration; tasks that involve Webhooks.

How do I install API Integration Architect in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill api-integration-architect -a claude-code`. Or copy the skill folder (skills/api-integration-architect in sickn33/agentic-awesome-skills) into .claude/skills/api-integration-architect in your project. Claude Code loads it when a task matches its description.

How do I install API Integration Architect in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill api-integration-architect -a codex`. Or copy the skill folder (skills/api-integration-architect in sickn33/agentic-awesome-skills) into .agents/skills/api-integration-architect in your project. Codex loads it when a task matches its description.

Can I use API Integration Architect in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill api-integration-architect -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/api-integration-architect, .gemini/skills/api-integration-architect, .github/skills/api-integration-architect and .opencode/skills/api-integration-architect in your project.

What does API Integration Architect need to run?

Going by SKILL.md and its folder, API Integration Architect needs the command-line tools its instructions call (curl). Our summary lists: Python 3; A credential in YOUR_API_KEY.

Does API Integration Architect access the network?

SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is API Integration Architect safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does API Integration Architect use?

API Integration Architect is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does API Integration Architect use?

About 2.3k tokens (SKILL.md is roughly 9.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to API Integration Architect?

Skills that share tags, products or a category with API Integration Architect: Shopify Expert (Jeffallan/claude-skills, 12k stars), Shopify API (Microck/ordinary-claude-skills, 401 stars), API Integration Specialist (aiskillstore/marketplace, 430 stars) and API Forge (EliasOulkadi/shokunin, 114 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains API Integration Architect?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.