project-development
Methodology for identifying LLM-suited tasks, designing pipelines, and iterating with agent-assisted development.
Explorez les skills IA publiés de 5dlabs et consultez leurs instructions source.
Skills indexés
104Étoiles des dépôts des skills indexés
140Forks du dépôt
15Moyenne des étoiles par skill indexé
1Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Methodology for identifying LLM-suited tasks, designing pipelines, and iterating with agent-assisted development.
Rust backend patterns including Axum, Tokio, error handling with anyhow/thiserror, and tracing.
Extend effective context capacity through compression, masking, caching, and partitioning techniques.
Fetch LLM-optimized documentation for Supabase, the open-source Firebase alternative.
Test-driven development discipline - RED-GREEN-REFACTOR cycle with strict enforcement. Use when implementing any feature or bugfix, before writing implementation code.
Decision framework for choosing between shadcn (SSR/SEO) and TanStack (real-time/client-first) frontend stacks
Official Expo UI guidelines - build beautiful apps with Expo Router, NativeTabs, SF Symbols, animations, and Apple HIG patterns
Linear Agent API expertise - sessions, activities, signals, and best practices. Use when working with Linear agent integration, verifying dialogue population, or implementing two-way communication.
Patterns for testing local web applications using Playwright. Use when verifying frontend functionality, debugging UI behavior, capturing screenshots, or testing dynamic web apps. Provides decision tree for cho...
React and Next.js performance optimization guidelines. Use when writing, reviewing, or refactoring React/Next.js code. Applies to Blaze (web), Spark (desktop), and Tap (mobile) agents.
Fetch LLM-optimized documentation from llms.txt endpoints for up-to-date API references
Semantic code research across GitHub repositories for finding implementations, patterns, and conducting PR/security reviews.
Guide for creating MCP (Model Context Protocol) servers that enable LLMs to interact with external services. Use when building MCP servers, integrating external APIs, implementing tool servers, or creating agen...
Recognize and mitigate context failures including lost-in-middle, context poisoning, distraction, confusion, and clash.
Foundational understanding of context engineering for AI agent systems - context windows, attention mechanics, progressive disclosure, and context budgeting
Fetch LLM-optimized documentation for tRPC, the end-to-end typesafe API framework.
Design effective tools for AI agents - tool descriptions, consolidation principles, architectural reduction, MCP naming conventions, and error handling
Create distinctive, production-grade frontend interfaces with high design quality. Use when building UI components, pages, or applications to avoid generic AI aesthetics.
Fetch Expo documentation via llms.txt for up-to-date React Native development references
Better Auth integration for Electron desktop apps with secure IPC, context isolation, and encrypted session storage
CTO Platform lifecycle expertise - Play workflow orchestration, intake processing, MCP tools, and agent sequencing. Use when managing the full development lifecycle from PRD to deployed code.
Create distinctive, production-grade frontend interfaces that avoid generic AI aesthetics. Use when building web UIs, React components, landing pages, dashboards, or styling any web interface. Provides design t...
Pull request review patterns including focus areas, feedback guidelines, and approval criteria.
CTO observability stack expertise - Prometheus metrics, Loki logs, Grafana dashboards. Use when querying logs, metrics, or debugging via telemetry.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.