LI

linear-sdk-patterns

Provides best practices and code patterns for efficient Linear SDK usage.

Install

mkdir -p .claude/skills/linear-sdk-patterns && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/5375" && unzip -o skill.zip -d .claude/skills/linear-sdk-patterns && rm skill.zip

Installs to .claude/skills/linear-sdk-patterns

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

TypeScript/JavaScript SDK patterns and best practices for Linear.
65 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Manage LinearClient instances for single or multi-user applications.
  • Implement cursor-based pagination for Linear API data.
  • Optimize relation loading to avoid N+1 query problems.
  • Construct filtered queries using various comparators and logical operators.
  • Handle API errors with type-safe error classes.
  • Execute raw GraphQL queries and mutations for advanced control.

How it works

The skill provides TypeScript code examples and explanations for common patterns when interacting with the Linear GraphQL API via the `@linear/sdk`.

Inputs & outputs

You give it
Linear API key or access token, GraphQL queries, filter parameters
You get back
Linear data (issues, teams, users), paginated results, API responses

When to use linear-sdk-patterns

  • Implementing Linear API integrations
  • Optimizing SDK data fetching
  • Managing API rate limits
  • Handling Linear GraphQL relations

About this skill

Linear SDK Patterns

Overview

Production patterns for @linear/sdk. The SDK wraps Linear's GraphQL API with strongly-typed models, cursor-based pagination (fetchNext()/fetchPrevious()), lazy-loaded relations, and typed error classes. Understanding these patterns avoids N+1 queries and rate limit waste.

Prerequisites

  • @linear/sdk installed
  • TypeScript project with strict: true
  • Understanding of async/await and GraphQL concepts

Instructions

Pattern 1: Client Singleton

import { LinearClient } from "@linear/sdk";

let _client: LinearClient | null = null;

export function getLinearClient(): LinearClient {
  if (!_client) {
    const apiKey = process.env.LINEAR_API_KEY;
    if (!apiKey) throw new Error("LINEAR_API_KEY is required");
    _client = new LinearClient({ apiKey });
  }
  return _client;
}

// For multi-user OAuth apps — one client per user
const clientCache = new Map<string, LinearClient>();

export function getClientForUser(userId: string, accessToken: string): LinearClient {
  if (!clientCache.has(userId)) {
    clientCache.set(userId, new LinearClient({ accessToken }));
  }
  return clientCache.get(userId)!;
}

Pattern 2: Cursor-Based Pagination

Linear uses Relay-style cursor pagination. The SDK provides fetchNext() and fetchPrevious() helpers, plus raw pageInfo for manual control.

// SDK built-in pagination helpers
const firstPage = await client.issues({ first: 50 });
console.log(`Page 1: ${firstPage.nodes.length} issues`);

if (firstPage.pageInfo.hasNextPage) {
  const secondPage = await firstPage.fetchNext();
  console.log(`Page 2: ${secondPage.nodes.length} issues`);
}

// Manual pagination with cursor — good for streaming all data
async function* paginateAll<T>(
  fetchPage: (cursor?: string) => Promise<{
    nodes: T[];
    pageInfo: { hasNextPage: boolean; endCursor: string };
  }>
): AsyncGenerator<T> {
  let cursor: string | undefined;
  let hasNext = true;

  while (hasNext) {
    const page = await fetchPage(cursor);
    for (const node of page.nodes) yield node;
    hasNext = page.pageInfo.hasNextPage;
    cursor = page.pageInfo.endCursor;
  }
}

// Stream all issues without loading everything into memory
for await (const issue of paginateAll(c => client.issues({ first: 50, after: c }))) {
  console.log(`${issue.identifier}: ${issue.title}`);
}

Pattern 3: Relation Loading (Avoiding N+1)

SDK models lazy-load relations. Accessing .assignee triggers a separate API call. Use raw GraphQL to batch-fetch relations in one request.

// LAZY (N+1 problem) — each .assignee is a separate API call
const issues = await client.issues({ first: 50 });
for (const issue of issues.nodes) {
  const assignee = await issue.assignee; // API call per issue!
  console.log(`${issue.identifier}: ${assignee?.name}`);
}

// BATCH (1 request) — use rawRequest for precise field selection
const response = await client.client.rawRequest(`
  query TeamIssues($teamKey: String!) {
    issues(first: 50, filter: { team: { key: { eq: $teamKey } } }) {
      nodes {
        id identifier title priority
        assignee { name email }
        state { name type }
        labels { nodes { name color } }
        project { name }
      }
    }
  }
`, { teamKey: "ENG" });

// PRE-RESOLVE — parallel resolution for a single issue
async function enrichIssue(issue: any) {
  const [assignee, state, team, labels] = await Promise.all([
    issue.assignee,
    issue.state,
    issue.team,
    issue.labels(),
  ]);
  return { ...issue, _assignee: assignee, _state: state, _team: team, _labels: labels.nodes };
}

Pattern 4: Filtering with Comparators

Linear supports eq, neq, in, nin, lt, lte, gt, gte, startsWith, contains, and logical and/or operators.

// High-priority open bugs
const bugs = await client.issues({
  first: 50,
  filter: {
    priority: { lte: 2 },
    state: { type: { nin: ["completed", "canceled"] } },
    labels: { name: { eq: "Bug" } },
    team: { key: { eq: "ENG" } },
  },
});

// OR logic — issues assigned to Alice or Bob
const filtered = await client.issues({
  filter: {
    or: [
      { assignee: { email: { eq: "[email protected]" } } },
      { assignee: { email: { eq: "[email protected]" } } },
    ],
    state: { type: { eq: "started" } },
  },
});

// Full-text search
const results = await client.issueSearch("authentication bug");

// Issues updated in the last 24 hours
const recent = await client.issues({
  filter: {
    updatedAt: { gte: new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString() },
  },
  orderBy: "updatedAt",
  first: 100,
});

Pattern 5: Type-Safe Error Handling

import { LinearError, InvalidInputLinearError } from "@linear/sdk";

type Result<T> = { ok: true; data: T } | { ok: false; error: string; retryable: boolean };

async function safeCall<T>(fn: () => Promise<T>): Promise<Result<T>> {
  try {
    return { ok: true, data: await fn() };
  } catch (error) {
    if (error instanceof InvalidInputLinearError) {
      return { ok: false, error: `Invalid input: ${error.message}`, retryable: false };
    }
    if (error instanceof LinearError) {
      const retryable = error.status === 429 || error.status === 503;
      return { ok: false, error: `[${error.status}] ${error.message}`, retryable };
    }
    return { ok: false, error: String(error), retryable: false };
  }
}

// Usage
const result = await safeCall(() => client.issue("issue-uuid"));
if (result.ok) {
  console.log(result.data.title);
} else if (result.retryable) {
  console.warn("Transient error, retry:", result.error);
}

Pattern 6: Custom GraphQL Client

Access the underlying LinearGraphQLClient for full control.

const graphQLClient = client.client;

// Set custom headers
graphQLClient.setHeader("X-Request-Id", crypto.randomUUID());

// Raw query with variables
const data = await graphQLClient.rawRequest(`
  query Cycle($id: String!) {
    cycle(id: $id) {
      id name startsAt endsAt
      issues { nodes { identifier title state { name } } }
    }
  }
`, { id: "cycle-uuid" });

// Batch mutations
const batchResult = await graphQLClient.rawRequest(`
  mutation BatchUpdate {
    a: issueUpdate(id: "id1", input: { priority: 1 }) { success }
    b: issueUpdate(id: "id2", input: { priority: 1 }) { success }
    c: issueUpdate(id: "id3", input: { priority: 1 }) { success }
  }
`);

Error Handling

ErrorCauseSolution
Cannot read properties of nullNullable relation not checkedUse (await issue.assignee)?.name
Type is not assignableSDK/TypeScript version mismatchUpdate @linear/sdk to latest
Promise rejection unhandledMissing try/catch on asyncWrap in safeCall() or .catch()
Query complexity too highToo many nested relationsUse rawRequest() with flat field selection

Examples

Create Issue with Full Metadata

const teams = await client.teams();
const eng = teams.nodes.find(t => t.key === "ENG")!;
const states = await eng.states();
const todo = states.nodes.find(s => s.type === "unstarted")!;
const labels = await client.issueLabels({ filter: { name: { eq: "Bug" } } });

await client.createIssue({
  teamId: eng.id,
  title: "Login page crashes on Safari",
  description: "## Steps to reproduce\n1. Open login in Safari 17\n2. Click Sign in\n3. Crash",
  stateId: todo.id,
  priority: 1,
  labelIds: [labels.nodes[0].id],
  estimate: 3,
});

Resources

Prerequisites

`@linear/sdk` installedTypeScript project with `strict: true`Understanding of async/await conceptsUnderstanding of GraphQL concepts

Limitations

  • SDK models lazy-load relations, which can lead to N+1 problems if not batched.
  • Query complexity can be too high with too many nested relations.
  • Nullable relations are not automatically checked.

How it compares

This skill offers optimized patterns for client management, pagination, and relation loading, which helps avoid common pitfalls like N+1 queries and rate limit issues that might occur with naive SDK usage.

Compared to similar skills

linear-sdk-patterns side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
linear-sdk-patterns (this skill)127dReviewIntermediate
openrouter-hello-world727dCautionBeginner
telegram-dev28moReviewIntermediate
shopify-apps14moReviewIntermediate

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