agentleFS
G1JoshiG1Joshi/Agent-Skills/skills/architecture/rest-api/SKILL.md

rest-api

Skill15 starsChanged 42 days agoMITView on GitHub

Expert REST API architecture assistance covering HTTP semantics, OpenAPI/Swagger specifications, idempotent methods, hypermedia (HATEOAS), and pagination patterns. Use when designing web APIs, structuring resource endpoints, standardizing error formats, or implementing RESTful conventions.

7 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

3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 6 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Solution: Use monotonic cursor identifiers (e.g.

    line 94
  2. Very specific:

    Use Nouns for Resource URIs: Use /api/v1/orders rather than action verbs like /api/v1/getOrders or /api/v1/createOrder.

    line 123
  3. Distinctive:

    Document with OpenAPI 3.1: Generate automated Swagger docs, SDK clients, and request validation schemas from OpenAPI specs.

    line 125

“Common” is measured: kept by at least 6 in 10 of the 6 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

REST API

Representational State Transfer (REST) is the architectural style for distributed hypermedia systems. It relies on stateless, client-server, cacheable communications protocols (mostly HTTP).

When to Use

  • Universal Public Web APIs: Building open, standardized APIs intended for third-party developers, webhooks, and partner integrations.
  • HTTP Caching & CDN Optimization: Maximizing cacheability using standard HTTP response headers (Cache-Control, ETag, Last-Modified).
  • Resource-Oriented CRUD Operations: Designing intuitive resource hierarchies with standard HTTP semantics (GET, POST, PUT, PATCH, DELETE).
  • Stateless Integration: Delivering scalable stateless APIs consumed effortlessly by any HTTP client on any platform.

Quick Start

// Express.js Example
app.get("/users/:id", async (req, res) => {
  const user = await db.find(req.params.id);
  if (!user) return res.status(404).json({ error: "Not Found" });

  // HATEOAS (Hypermedia As The Engine Of Application State) - optional but "True REST"
  res.json({
    ...user,
    links: {
      self: `/users/${user.id}`,
      orders: `/users/${user.id}/orders`,
    },
  });
});

Core Concepts

HTTP Semantics & Idempotency

Different HTTP verbs carry formal idempotency and safety guarantees:

MethodSafeIdempotentUsage
GETYesYesRetrieve resource representation
POSTNoNoCreate new resource or trigger action
PUTNoYesReplace resource entirely
PATCHNoNo / YesPartially update resource
DELETENoYesRemove resource

Standardized Error Representations (RFC 7807 / 9457)

Returns machine-readable application/problem+json error responses:

{
  "type": "https://api.example.com/errors/invalid-payment",
  "title": "Invalid Payment Source",
  "status": 422,
  "detail": "The payment card provided has expired.",
  "instance": "/orders/415/payments"
}

Content Negotiation & ETag Caching

Validates whether cached client data is still fresh without resending full payloads:

app.get("/api/v1/users/:id", async (req, res) => {
  const user = await db.getUser(req.params.id);
  const etag = crypto
    .createHash("md5")
    .update(JSON.stringify(user))
    .digest("hex");

  if (req.headers["if-none-match"] === etag) {
    return res.status(304).end(); // Not Modified
  }

  res.setHeader("ETag", etag);
  res.setHeader(
    "Cache-Control",
    "public, max-age=60, stale-while-revalidate=300",
  );
  res.json(user);
});

Common Patterns

Cursor-Based Pagination

Problem: Offset-based pagination (OFFSET 10000) degrades database performance and skips items on concurrent writes.
Solution: Use monotonic cursor identifiers (e.g. created_at + id).

// GET /api/v1/posts?cursor=2026-09-27T10:00:00Z&limit=20
app.get("/api/v1/posts", async (req, res) => {
  const { cursor, limit = 20 } = req.query;
  const posts = await db
    .select()
    .from(postsTable)
    .where(
      cursor ? lt(postsTable.createdAt, new Date(cursor as string)) : undefined,
    )
    .orderBy(desc(postsTable.createdAt))
    .limit(Number(limit) + 1);

  const hasMore = posts.length > Number(limit);
  const data = hasMore ? posts.slice(0, -1) : posts;
  const nextCursor = hasMore
    ? data[data.length - 1].createdAt.toISOString()
    : null;

  res.json({ data, pagination: { hasMore, nextCursor } });
});

Best Practices

Do:

  • Use Nouns for Resource URIs: Use /api/v1/orders rather than action verbs like /api/v1/getOrders or /api/v1/createOrder.
  • Implement Idempotency Keys on Mutating Requests: Require Idempotency-Key headers on POST/PATCH requests to prevent duplicate charges.
  • Document with OpenAPI 3.1: Generate automated Swagger docs, SDK clients, and request validation schemas from OpenAPI specs.
  • Implement Monotonic Cursor Pagination: Use limit and starting_after cursor pagination for high-volume datasets.

Don't:

  • Return HTTP 200 with { "error": "..." }: Always return correct HTTP status codes (400, 401, 403, 404, 422, 500).
  • Break API contracts without versioning: Prefix endpoints with /v1/ or use header versioning when introducing breaking changes.
  • Expose raw internal database column names: Map private column names to clean, camelCased JSON fields.

Troubleshooting

ErrorCauseSolution
405 Method Not AllowedSending POST to a GET-only endpoint.Check HTTP verb.
415 Unsupported Media TypeSending XML when JSON expected.Set Content-Type: application/json.
CORS ErrorBrowser blocking cross-origin request.Set Access-Control-Allow-Origin headers on server.

References

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.