llm-integration
A toolkit for building robust LLM integrations: API patterns, streaming, function calling, RAG pipelines, and cost-effective model routing.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
552 skills found
A toolkit for building robust LLM integrations: API patterns, streaming, function calling, RAG pipelines, and cost-effective model routing.
Generate a promotion content pack from PRDs or READMEs, including LinkedIn posts, Reddit drafts, and Twitter threads.
Advanced QE reporting, quality dashboards, and predictive analytics for test metrics, code coverage, and deployment readiness to drive data-informed quality decisions.
Discord integration for automated messaging, channel management, and rich UI interactions using the OpenClaw agent.
Proactive context window management for AI agents via intelligent token monitoring, snapshot creation, and selective state rehydration to maintain continuity during long sessions.
Professional copywriting assistant for UX, marketing, and product messaging. Includes button label optimization, error message design, CTA creation, and tone-consistent content writing.
Production-ready reinforcement learning using Stable Baselines3. Train agents, design custom environments, implement training callbacks, and optimize workflows with a scikit-learn-style API.
Apply context-driven testing principles to adapt testing strategies based on project goals, risks, and constraints rather than relying on universal best practices.
Manage Navigator task documentation: create implementation plans, archive completed features, and maintain the task index for Claude Code workflows.
Retrieve real-time library documentation, code examples, and technical guidance using the Context7 API for frameworks like React, FastAPI, and Next.js.
Transform meeting transcripts into structured notes featuring key decisions, summary points, action items, and open questions.
Method-driven planning workflow that intelligently decomposes tasks into structured plan.md files using zen-mcp tools, adapting to user clarity and automation needs.