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Developer Kit

Code Generation

Code Generation is a practical software engineering skill for building, reviewing, and debugging code with an execution loop. It supports implementation work, code review, refactors, and fast iteration inside bounded development environments. Developers, technical founders, and platform teams benefit when they need a reliable coding operator that can move from request to code to verification. It is flexible enough for small utilities and broad enough for feature work, debugging, and review tasks. What makes it production-grade is the workflow orientation. It is not only a text generator for snippets; it is designed around coding tasks with context, focus, execution, and validation in mind.

Nexus CertifiedClaude CodeCodexOpenClaw
codingdebuggingcode-reviewexecutionrefactoring

One-Time Purchase

$19.99

Sample Output

Implementation: rate_limiter.py

Approach

Token bucket rate limiter with Redis backend for distributed use. Chose token bucket over sliding window for burst tolerance — allows short traffic spikes while enforcing a sustained rate ceiling. Redis MULTI/EXEC ensures atomicity across concurrent requests. Includes configurable bucket size and refill rate per client key.

Code

import time
import redis

class TokenBucketRateLimiter:
    def __init__(self, redis_client: redis.Redis, max_tokens: int = 100, refill_rate: float = 10.0):
        self.redis = redis_client
        self.max_tokens = max_tokens
        self.refill_rate = refill_rate  # tokens per second

    def allow_request(self, client_key: str) -> bool:
        key = f"ratelimit:{client_key}"
        now = time.time()
        pipe = self.redis.pipeline()
        pipe.hmget(key, "tokens", "last_refill")
        result = pipe.execute()[0]
        tokens = float(result[0]) if result[0] else self.max_tokens
        last_refill = float(result[1]) if result[1] else now
        elapsed = now - last_refill
        tokens = min(self.max_tokens, tokens + elapsed * self.refill_rate)
        if tokens >= 1:
            tokens -= 1
            allowed = True
        else:
            allowed = False
        pipe.hset(key, mapping={"tokens": tokens, "last_refill": now})
        pipe.expire(key, int(self.max_tokens / self.refill_rate) + 60)
        pipe.execute()
        return allowed

Tests

def test_allows_requests_within_limit():
    limiter = TokenBucketRateLimiter(redis_client, max_tokens=5, refill_rate=1.0)
    results = [limiter.allow_request("test-client") for _ in range(5)]
    assert all(results)  # First 5 requests allowed

def test_blocks_after_exhaustion():
    limiter = TokenBucketRateLimiter(redis_client, max_tokens=2, refill_rate=0.1)
    limiter.allow_request("exhaust-client")
    limiter.allow_request("exhaust-client")
    assert not limiter.allow_request("exhaust-client")  # Third request blocked

Execution Output

test_allows_requests_within_limit PASSED
test_blocks_after_exhaustion PASSED
2 passed in 0.34s

View full sample →

All sales final. No refunds on digital products.

Includes support for Claude Code, Codex, and OpenClaw in the same license.

What You Get With This Skill

Generates, reviews, debugs, and executes code in sandboxed workflows. Useful for implementation, refactoring, and technical problem solving.

All ClearPoint Nexus Skills Include

  • Production-ready workflow packaging for three supported platforms.
  • Reusable structure designed for repeatable operator tasks.
  • Clear deliverable format, not just raw prompt output.

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