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home/skills/tag/implementation
skill tag

implementation▌

32 indexed skills · max 10 per page

skills (32)

react-flow-implementation

existential-birds/beagle · Frontend

0

See ADDITIONAL_COMPONENTS.md for MiniMap, Controls, Background, NodeToolbar, NodeResizer.

oauth-implementation

aj-geddes/useful-ai-prompts · Productivity

0

Implement industry-standard OAuth 2.0 and OpenID Connect authentication flows with JWT tokens, refresh tokens, and secure session management.

design-patterns-implementation

aj-geddes/useful-ai-prompts · Frontend

0

Apply proven design patterns to create maintainable, extensible, and testable code architectures.

notion-spec-to-implementation

davila7/claude-code-templates · Productivity

0

Convert a Notion spec into linked implementation plans, tasks, and ongoing status updates.

prd-implementation-precheck

charon-fan/agent-playbook · Productivity

0

Perform a short PRD precheck, present issues and questions, then implement only after the user confirms or adjusts the PRD.

openspec-implementation

forztf/open-skilled-sdd · Productivity

0

Systematically implements approved spec proposals by executing tasks sequentially with proper testing and validation.

websocket-implementation

aj-geddes/useful-ai-prompts · Productivity

0

Build scalable WebSocket systems for real-time communication with proper connection management, message routing, error handling, and horizontal scaling support.

rag-implementation

sickn33/antigravity-awesome-skills · Productivity

0

Complete workflow for building RAG systems from embedding selection through evaluation and optimization. \n \n Covers eight sequential phases: requirements analysis, embedding selection, vector database setup, chunking strategy, retrieval implementation, LLM integration, caching, and evaluation \n Includes actionable steps for each phase with specific skills to invoke and copy-paste prompts for agent commands \n Addresses core RAG concerns: embedding quality, vector indexing, chunk overlap handl

langchain4j-rag-implementation-patterns

giuseppe-trisciuoglio/developer-kit · AI/ML

0

Complete Retrieval-Augmented Generation systems with LangChain4j for knowledge-enhanced AI applications. \n \n Document ingestion pipelines with configurable chunking, metadata management, and embedding generation using OpenAI or custom embedding models \n Vector search and content retrieval with filtering, re-ranking, and configurable similarity thresholds for precise context matching \n RAG-enabled AI services that automatically inject retrieved context into chat models, with support for multi

notion-spec-to-implementation

openai/skills · Productivity

0

Convert Notion specs into linked implementation plans, tasks, and progress tracking. \n \n Automates the workflow from spec discovery through task creation: search and fetch specs, parse requirements, generate implementation plans, and create tracked tasks in Notion. \n Includes templates for quick vs. full implementation plans, task creation patterns, and progress update cadences to match project scope. \n Provides reference guides for requirement extraction, task sizing (1–2 day chunks), depen

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