linear-debug-bundle
Comprehensive debugging toolkit for Linear integrations. Use when setting up logging, tracing API calls, or building debug utilities for Linear. Trigger with phrases like "debug linear integration", "linear logging", "trace linear API", "linear debugging tools", "linear troubleshooting".
Install
mkdir -p .claude/skills/linear-debug-bundle && curl -L -o skill.zip "https://mcp.directory/api/skills/download/6911" && unzip -o skill.zip -d .claude/skills/linear-debug-bundle && rm skill.zipInstalls to .claude/skills/linear-debug-bundle
About this skill
Linear Debug Bundle
Overview
Production-ready debugging tools for Linear API integrations: instrumented client with request/response logging, request tracer with performance metrics, health check endpoint, environment validator, and interactive debug console.
Prerequisites
@linear/sdkinstalled and configured- Node.js 18+
- Optional: pino or winston for structured logging
Instructions
Tool 1: Debug Client Wrapper
Intercept all API calls with timing, logging, and error capture by wrapping the SDK's underlying fetch.
import { LinearClient } from "@linear/sdk";
interface DebugOptions {
logRequests?: boolean;
logResponses?: boolean;
onRequest?: (query: string, variables: any) => void;
onResponse?: (query: string, duration: number, data: any) => void;
onError?: (query: string, duration: number, error: any) => void;
}
function createDebugClient(apiKey: string, opts: DebugOptions = {}): LinearClient {
const { logRequests = true, logResponses = true } = opts;
return new LinearClient({
apiKey,
headers: { "X-Debug": "true" },
});
}
// Manual instrumentation wrapper
async function debugQuery<T>(
label: string,
fn: () => Promise<T>,
opts?: DebugOptions
): Promise<T> {
const start = Date.now();
console.log(`[Linear:DEBUG] >>> ${label}`);
try {
const result = await fn();
const ms = Date.now() - start;
console.log(`[Linear:DEBUG] <<< ${label} (${ms}ms) OK`);
opts?.onResponse?.(label, ms, result);
return result;
} catch (error) {
const ms = Date.now() - start;
console.error(`[Linear:DEBUG] !!! ${label} (${ms}ms) FAILED:`, error);
opts?.onError?.(label, ms, error);
throw error;
}
}
// Usage
const client = new LinearClient({ apiKey: process.env.LINEAR_API_KEY! });
const teams = await debugQuery("teams()", () => client.teams());
const issues = await debugQuery("issues(first:50)", () => client.issues({ first: 50 }));
Tool 2: Request Tracer
Track all API calls with timing, success/failure, and aggregate stats.
interface TraceEntry {
id: string;
operation: string;
startTime: number;
endTime?: number;
duration?: number;
success: boolean;
error?: string;
}
class LinearTracer {
private traces: TraceEntry[] = [];
private maxTraces = 200;
startTrace(operation: string): string {
const id = `trace-${Date.now()}-${Math.random().toString(36).slice(2, 6)}`;
this.traces.push({ id, operation, startTime: Date.now(), success: false });
if (this.traces.length > this.maxTraces) this.traces = this.traces.slice(-100);
return id;
}
endTrace(id: string, success: boolean, error?: string): void {
const trace = this.traces.find(t => t.id === id);
if (trace) {
trace.endTime = Date.now();
trace.duration = trace.endTime - trace.startTime;
trace.success = success;
trace.error = error;
}
}
getSlowTraces(thresholdMs = 2000): TraceEntry[] {
return this.traces.filter(t => (t.duration ?? 0) > thresholdMs);
}
getFailedTraces(): TraceEntry[] {
return this.traces.filter(t => !t.success && t.endTime);
}
getSummary() {
const completed = this.traces.filter(t => t.endTime);
const durations = completed.map(t => t.duration ?? 0);
return {
total: this.traces.length,
completed: completed.length,
failed: this.getFailedTraces().length,
avgMs: durations.length ? Math.round(durations.reduce((a, b) => a + b, 0) / durations.length) : 0,
maxMs: durations.length ? Math.max(...durations) : 0,
p95Ms: durations.length ? durations.sort((a, b) => a - b)[Math.floor(durations.length * 0.95)] : 0,
};
}
}
// Usage
const tracer = new LinearTracer();
async function tracedCall<T>(operation: string, fn: () => Promise<T>): Promise<T> {
const id = tracer.startTrace(operation);
try {
const result = await fn();
tracer.endTrace(id, true);
return result;
} catch (error: any) {
tracer.endTrace(id, false, error.message);
throw error;
}
}
// After running operations:
console.log("Trace summary:", tracer.getSummary());
console.log("Slow traces:", tracer.getSlowTraces(1000));
Tool 3: Health Check Utility
interface HealthResult {
status: "healthy" | "degraded" | "unhealthy";
latencyMs: number;
user?: string;
teamCount?: number;
error?: string;
}
async function checkLinearHealth(client: LinearClient): Promise<HealthResult> {
const start = Date.now();
try {
const [viewer, teams] = await Promise.all([client.viewer, client.teams()]);
const latencyMs = Date.now() - start;
return {
status: latencyMs > 3000 ? "degraded" : "healthy",
latencyMs,
user: viewer.name,
teamCount: teams.nodes.length,
};
} catch (error: any) {
return {
status: "unhealthy",
latencyMs: Date.now() - start,
error: error.message,
};
}
}
// Express endpoint
app.get("/health/linear", async (req, res) => {
const health = await checkLinearHealth(client);
res.status(health.status === "unhealthy" ? 503 : 200).json(health);
});
Tool 4: Environment Validator
function validateLinearEnv(): { valid: boolean; issues: string[] } {
const issues: string[] = [];
const apiKey = process.env.LINEAR_API_KEY;
if (!apiKey) {
issues.push("LINEAR_API_KEY is not set");
} else if (!apiKey.startsWith("lin_api_")) {
issues.push("LINEAR_API_KEY must start with 'lin_api_'");
} else if (apiKey.length < 30) {
issues.push("LINEAR_API_KEY appears truncated");
}
if (!process.env.LINEAR_WEBHOOK_SECRET) {
issues.push("WARNING: LINEAR_WEBHOOK_SECRET not set (webhooks won't verify)");
}
if (process.env.NODE_ENV === "production" && apiKey?.includes("dev")) {
issues.push("WARNING: API key appears to be a development key in production");
}
const valid = issues.filter(i => !i.startsWith("WARNING")).length === 0;
return { valid, issues };
}
// Auto-run on import
const envCheck = validateLinearEnv();
if (!envCheck.valid) {
console.error("[Linear] Environment validation failed:");
envCheck.issues.forEach(i => console.error(` - ${i}`));
}
Tool 5: Interactive Debug Console
import readline from "readline";
import { LinearClient } from "@linear/sdk";
async function debugConsole(client: LinearClient): Promise<void> {
const rl = readline.createInterface({ input: process.stdin, output: process.stdout });
const prompt = () => rl.question("linear> ", handleCommand);
async function handleCommand(cmd: string) {
const trimmed = cmd.trim();
try {
switch (trimmed) {
case "me": {
const v = await client.viewer;
console.log(`${v.name} (${v.email})`);
break;
}
case "teams": {
const t = await client.teams();
t.nodes.forEach(team => console.log(` ${team.key}: ${team.name}`));
break;
}
case "issues": {
const i = await client.issues({ first: 10, orderBy: "updatedAt" });
i.nodes.forEach(issue => console.log(` ${issue.identifier}: ${issue.title}`));
break;
}
case "health": {
const h = await checkLinearHealth(client);
console.log(JSON.stringify(h, null, 2));
break;
}
case "exit": rl.close(); return;
default: console.log("Commands: me, teams, issues, health, exit");
}
} catch (e: any) {
console.error(`Error: ${e.message}`);
}
prompt();
}
console.log("Linear Debug Console — type 'help' for commands");
prompt();
}
Error Handling
| Issue | Cause | Solution |
|---|---|---|
| Circular JSON in logs | Logging full SDK objects | Use selective fields, not JSON.stringify(issue) |
| Memory leak | Unbounded trace storage | Set maxTraces limit, trim oldest |
| Missing env vars | Env not loaded | Call validateLinearEnv() on startup |
| Health check timeout | Network issue or Linear outage | Add 10s timeout, check status.linear.app |
Examples
Quick Diagnostic Script
# One-liner to test API connectivity and print auth info
curl -s -X POST https://api.linear.app/graphql \
-H "Authorization: $LINEAR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"query": "{ viewer { name email } }"}' | jq .
Benchmark API Calls
async function benchmark(label: string, fn: () => Promise<any>) {
const runs = 5;
const times: number[] = [];
for (let i = 0; i < runs; i++) {
const start = Date.now();
await fn();
times.push(Date.now() - start);
}
const avg = Math.round(times.reduce((a, b) => a + b) / runs);
const max = Math.max(...times);
console.log(`${label}: avg=${avg}ms, max=${max}ms (${runs} runs)`);
}
await benchmark("viewer", () => client.viewer);
await benchmark("teams", () => client.teams());
await benchmark("issues(50)", () => client.issues({ first: 50 }));
Resources
More by jeremylongshore
View all skills by jeremylongshore →You might also like
flutter-development
aj-geddes
Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.
drawio-diagrams-enhanced
jgtolentino
Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.
godot
bfollington
This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.
ui-ux-pro-max
nextlevelbuilder
"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."
nano-banana-pro
garg-aayush
Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.
fastapi-templates
wshobson
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Related MCP Servers
Browse all serversFrida enables dynamic instrumentation and debugging for mobile and desktop apps, offering advanced process management an
SFCC Development Tools: Connect to Salesforce B2C Commerce Cloud for real-time log monitoring, debugging, and SFCC API d
Supercharge Android Studio workflows with AI-driven SVG conversion, live logcat, and advanced mobile dev tools for smart
The most comprehensive MCP integration platform with 333+ integrations and 20,421+ real-time tools. Connect your AI assi
AI-driven control of live Chrome via Chrome DevTools: browser automation, debugging, performance analysis and network mo
Use Chrome DevTools for web site test speed, debugging, and performance analysis. The essential chrome developer tools f
Stay ahead of the MCP ecosystem
Get weekly updates on new skills and servers.