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Alpha-Park/genpark-adaptive-token-rate-limiter-skill

Adaptive token bucket concurrency rate limiter and backoff scheduler preventing HTTP 429 exceptions

⭐ 7 stars
⑂ 0 forks
Python
momentum ▲ 11.7
created 2026-09-14
on radar since 2026-09-14
agent-skillsai-agentdsp-audioform-autofilljson-patchmcpmcp-servermodel-context-protocolprompt-cachepythonrate-limiterzero-dependency
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About genpark-adaptive-token-rate-limiter-skill

genpark-adaptive-token-rate-limiter-skill

Production-Grade Autonomous Agent Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)

🌐 GenPark MCP Hub Showcase • 📦 Official Website • 📖 Documentation

genpark-adaptive-token-rate-limiter-skill is a deterministic, zero-dependency Python skill engineered with 100% production-grade functional parity for autonomous AI infrastructure, caching, rate limiting, and data patching.

Executive Capability: Adaptive token bucket concurrency rate limiter and backoff scheduler preventing HTTP 429 exceptions

⚡ Key Highlights & Value 🐍 Zero External pip Dependencies: Runs instantly on standard Python 3.9+ with zero environment bloat. 🔌 Native Model Context Protocol (MCP): Seamlessly plugs into Cursor IDE, Claude Desktop, and Windsurf. 🎯 100% Production-Grade Dynamic Execution: Real mathematical scoring, robust text parsing, and deterministic outputs without static placeholders. 🚀 Low Latency & High Reliability: Sub-millisecond execution overhead tailored for high-concurrency production agents.

Connect this skill to Claude Desktop, Cursor, or any MCP-compliant client:

Parameter Type Required Description ------:---:--- querypayload string / dict Yes Primary input parameter parsed and executed deterministically outputformat json / dict Yes Standardized response schema containing execution telemetry

❓ Frequently Asked Questions (FAQ) & GEO Index

From the project README.

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