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Skills IA Développement

Découvrez les skills Développement, comparez leurs dépôts et consultez leurs instructions.

Catégories: Développement

45,817–45,840 sur 81,978

Développement Effacer les filtres

Explorer

GitHub

llm-docs

5dlabs

Fetch LLM-optimized documentation from llms.txt endpoints for up-to-date API references

GitHub

octocode

5dlabs

Semantic code research across GitHub repositories for finding implementations, patterns, and conducting PR/security reviews.

GitHub

mcp-development

5dlabs

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...

GitHub

context-degradation

5dlabs

Recognize and mitigate context failures including lost-in-middle, context poisoning, distraction, confusion, and clash.

GitHub

context-fundamentals

5dlabs

Foundational understanding of context engineering for AI agent systems - context windows, attention mechanics, progressive disclosure, and context budgeting

GitHub

tool-design

5dlabs

Design effective tools for AI agents - tool descriptions, consolidation principles, architectural reduction, MCP naming conventions, and error handling

GitHub

frontend-design

5dlabs

Create distinctive, production-grade frontend interfaces with high design quality. Use when building UI components, pages, or applications to avoid generic AI aesthetics.

GitHub

cto-platform

5dlabs

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.

GitHub

frontend-excellence

5dlabs

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...

GitHub

pr-review

5dlabs

Pull request review patterns including focus areas, feedback guidelines, and approval criteria.

GitHub

telemetry

5dlabs

CTO observability stack expertise - Prometheus metrics, Loki logs, Grafana dashboards. Use when querying logs, metrics, or debugging via telemetry.

GitHub

compound-engineering

5dlabs

Compound Engineering methodology - Plan→Work→Review→Compound loop where each unit of work makes subsequent work easier. Use when implementing features, fixing bugs, or any development work.

GitHub

systematic-debugging

5dlabs

Systematic debugging expertise - 4-phase root cause process, evidence gathering, and hypothesis testing. Use when encountering any bug, test failure, or unexpected behavior before proposing fixes.

GitHub

pushing-code

fletchgqc

Commits and pushes code changes. Used when work should be committed and/or pushed to Git.

GitHub

mcp-manager

rysweet

Conversational interface for managing MCP (Model Context Protocol) server configurations in Claude Code

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.

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