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Repair Backpressure & Overload Handling
Diagnose and repair backpressure, bounded concurrency, queue growth, admission control, overload shedding, and recovery from saturation.
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Repair Backpressure & Overload Handling
Example session with this skill installed
Our Node.js worker is crashing with OOM during peak traffic. Here is the consumer loop using an array as a buffer. Add backpressure and a 50-message limit.
- Read your context and instructions
- Compiled the repair backpressure
I have analyzed the consumer implementation and identified an unbounded array buffer that causes memory exhaustion when the downstream database slows down.
Backpressure Implementation
const { EventEmitter } = require('events');
class BoundedQueue extends EventEmitter {
constructor(limit = 50) {
super();
this.limit = limit;
this.queue = [];
this.isPaused = false;
}
async push(item, processor) {
this.queue.push(item);
// Invariant: Memory usage is bounded by this.limit
if (this.queue.length >= this.limit && !this.isPaused) {
this.isPaused = true;
this.emit('pause');
}
// Process immediately or in background
setImmediate(() => this.process(processor));
}
async process(processor) {
if (this.queue.length === 0) return;
const item = this.queue.shift();
try {
await processor(item);
} finally {
// Resume if we have dropped below the high water mark
if (this.isPaused && this.queue.length < this.limit) {
this.isPaused = false;
this.emit('drain');
}
}
}
}
// Integration Example
const queue = new BoundedQueue(50);
source.on('data', (chunk) => {
queue.push(chunk, db.save);
if (queue.isPaused) source.pause();
});
queue.on('drain', () => {
source.resume();
});
Next steps
- Review the
drainevent timing to ensure it matches your source's resume latency. - Add a
timeouttodb.saveto prevent a single hanging promise from locking the queue. - Monitor
process.memoryUsage().heapUsedduring the next load test to verify the 50-item ceiling.
Connects securely to your tools. The creator never sees your data.
About this skill
Repair Backpressure & Overload Handling is a bounded ToolForge Labs workflow. Diagnose and repair backpressure, bounded concurrency, queue growth, admission control, overload shedding, and recovery from saturation. Works from full repositories or partial context such as snippets, logs, configuration, traces, and architecture notes. Produces concrete repairs or evidence-backed review outputs while preserving existing product/security policy.
It works from a full repository or partial evidence such as snippets, logs, configuration, traces, tickets, and architecture notes. The skill preserves existing product and security policy, separates verified facts from assumptions, avoids invented execution claims, and produces concrete repair or review steps with focused deterministic validation or traceable evidence.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Agents & Orchestration.
Cannot verify production systems, external services, or facts that are not present in supplied evidence. With partial context it returns bounded diagnosis/review, explicit assumptions, and a deterministic validation plan rather than claiming successful execution.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
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- 3
Ask for what you need
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Permissions
Use a clean branch or a controlled review workspace. Supply repository files, logs, traces, configuration, or evidence needed for the task. Review all patches/findings before merge or operational action; keep production credentials and destructive production actions out of the workflow.