Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

Cari skill GitHub nyata berdasarkan tugas lalu periksa stars, trust, audit, kategori, dan jalur pemasangan sebelum digunakan.

Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.

Hasil pencarian: spec-generation

Direktori bahasa Inggris

Review a branch or diff against repository standards and the originating spec in two independent analysis passes.

169K
Stars
86/100
Kepercayaan
Kategori: coding-agentsAudit

Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.

165K
Stars
81/100
Kepercayaan
Kategori: coding-agentsAudit

Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.

177K
Stars
81/100
Kepercayaan
Kategori: coding-agentsAudit

Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.

176K
Stars
81/100
Kepercayaan
Kategori: coding-agentsAudit

React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.

30K
Stars
88/100
Kepercayaan
Kategori: coding-agentsAudit

A portable AI agent skill that enhances AI-generated user interfaces with better layout, typography, motion, and spacing to avoid generic outputs.

65K
Stars
87/100
Kepercayaan
Kategori: developmentAudit

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

83K
Stars
87/100
Kepercayaan
Kategori: agent-frameworksAudit

AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.

60K
Stars
83/100
Kepercayaan
Kategori: developmentAudit

ToolJet is the open-source foundation of ToolJet AI - the enterprise app generation platform for building internal tools, dashboard, business applications, workflows and AI agents ๐Ÿš€

38K
Stars
86/100
Kepercayaan
Kategori: automationAudit

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

37K
Stars
82/100
Kepercayaan
Kategori: rag-knowledgeAudit

๐Ÿค— Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

34K
Stars
87/100
Kepercayaan
Kategori: media-automationAudit

A modular graph-based Retrieval-Augmented Generation (RAG) system

34K
Stars
82/100
Kepercayaan
Kategori: dataAudit