Was macht Kontext-Kompression?
Wenn Agenten-Sitzungen Millionen von Token an Gesprächshistorie erzeugen, wird Kompression zur Pflicht. Der naive Ansatz ist aggressive Kompression, um die Tokens pro Anfrage zu minimieren.
Komprimiert den Kontext von Agenten-Sitzungen, wenn Millionen von Token an Gesprächshistorie anfallen. Der naive Ansatz setzt auf aggressive Kompression, um die Tokens pro Anfrage zu minimieren.
Diese Skill adressiert das Problem übermäßiger Token-Nutzung in Langzeitsitzungen von KI-Agenten (z. B. Claude Code, Cursor, Codex). Wenn Agenten über Stunden oder Tage hinweg interagieren, sammelt sich eine riesige Menge an Kontext- und Gesprächshistorie an, die oft zehn- oder hunderttausende Token umfasst. Der naive Ansatz ist eine aggressive Kompression, die alle verfügbaren Informationen stark reduziert, um die Token pro Anfrage zu minimieren und dadurch Kosten zu senken und Antwortzeiten zu verkürzen. Der Skill bietet eine ausgewogenere Lösung: Er erkennt, welche Teile des Kontexts tatsächlich relevant sind, und behält diese bei, während unwichtige oder redundante Informationen entfernt werden. Dies macht ihn besonders nützlich für Entwickler, die mit großen Codebasen, umfangreichen Gesprächsverläufen oder mehrstufigen Debatten zwischen Agenten arbeiten. Er ist plattformunabhängig einsetzbar und erfordert keine spezielle API, sondern fungiert als intelligentes Pre-Processing-Tool, das vor jeder Anfrage ausgeführt werden kann.
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Wenn Agenten-Sitzungen Millionen von Token an Gesprächshistorie erzeugen, wird Kompression zur Pflicht. Der naive Ansatz ist aggressive Kompression, um die Tokens pro Anfrage zu minimieren.
This repo contains 20 individual skills — each has its own dedicated page.
Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing depth to web experiences.
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them.
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.
Generate comprehensive, developer-friendly API documentation from code, including endpoints, parameters, examples, and best practices
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
Implement secure API design patterns including authentication, authorization, input validation, rate limiting, and protection against common API vulnerabilities
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration
Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, SAM/CDK deployment, and cold start optimization.
Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems.
You are a senior backend engineer operating production-grade services under strict architectural and reliability constraints. Use when routes, controllers, services, repositories, express middleware, or prisma database access.
Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.
Bash scripting workflow for creating production-ready shell scripts with defensive patterns, error handling, and testing.
Use before creative or constructive work (features, architecture, behavior). Transforms vague ideas into validated designs through disciplined reasoning and collaboration.
Browser automation powers web testing, scraping, and AI agent interactions. The difference between a flaky script and a reliable system comes down to understanding selectors, waiting strategies, and anti-detection patterns.
Expert in building browser extensions that solve real problems - Chrome, Firefox, and cross-browser extensions. Covers extension architecture, manifest v3, content scripts, popup UIs, monetization strategies, and Chrome Web Store publishing.
BullMQ expert for Redis-backed job queues, background processing, and reliable async execution in Node.js/TypeScript applications.
Fast, modern JavaScript/TypeScript development with the Bun runtime, inspired by [oven-sh/bun](https://github.com/oven-sh/bun).
Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.
Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.
Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.
Search, install, update, sync, or publish agent skills with the ClawHub CLI and registry.
Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.
List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.