implementation▌
32 indexed skills · max 10 per page
hybrid-search-implementation
sickn33/antigravity-awesome-skills · Productivity
$22
graphql-implementation
aj-geddes/useful-ai-prompts · Productivity
Implement GraphQL APIs with proper schema design, resolver patterns, error handling, and performance optimization for flexible client-server communication.
react-flow-implementation
existential-birds/beagle · Frontend
See ADDITIONAL_COMPONENTS.md for MiniMap, Controls, Background, NodeToolbar, NodeResizer.
oauth-implementation
aj-geddes/useful-ai-prompts · Productivity
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
Apply proven design patterns to create maintainable, extensible, and testable code architectures.
notion-spec-to-implementation
davila7/claude-code-templates · Productivity
Convert a Notion spec into linked implementation plans, tasks, and ongoing status updates.
prd-implementation-precheck
charon-fan/agent-playbook · Productivity
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
Systematically implements approved spec proposals by executing tasks sequentially with proper testing and validation.
websocket-implementation
aj-geddes/useful-ai-prompts · Productivity
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
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