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GitHub
AI Coding·2025
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Databricks AI Dev Kit

Databricks Solutions (Databricks, Inc.)·Databricks, Inc.

Equips AI coding assistants like Claude Code and Cursor with 75+ executable tools, an MCP server, reusable skills, and a Python library to build on Databricks—Spark pipelines, jobs, dashboards, Unity Catalog resources, and ML workflows—from your editor.

#mcp#mcp-server#ai-coding#ai-development#ai-tools+6
GitHub
AI Agent·2025
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Open Agents

Vercel Labs

Runs LLM-driven coding agents as durable workflows on Vercel, orchestrating isolated sandbox VMs for repo work, shell and file tools, and optional auto-commit/PR flows — designed for cloud-hosted, resumable developer automation.

#agent-skills#ai-agent#ai-coding#gitHub#nodejs+5
GitHub
AI Agent·2025
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Skills Public

Dimillian

Collection of self-contained Codex skills that automate recurring engineering tasks (many Apple-platform focused): release-note generation, iOS debugging, SwiftUI audits, multi-agent review and bug-hunt workflows. Best when integrated into Codex-driven developer tooling.

#agent-skills#codex#gitHub#ai-agent#ai-coding+2
GitHub
AI Client·2026
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Webnovel Writer

lingfengQAQ

A Claude Code plugin for long-form serial fiction that keeps characters, timeline, and world rules consistent across hundreds of chapters. Facts are committed to a versioned state store, and review gates flag contradictions before each chapter.

#claude-code#claude#plugin#RAG#embeddings+5
GitHub
AI Agent·2026
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Planning with Files

Ahmad Othman Ammar Adi

Implements a Manus-style, file-backed planning workflow for AI agents using a three-file Markdown pattern (task_plan.md, findings.md, progress.md) to persist plans, findings and session logs—reducing context drift and enabling session recovery. Adds IDE/CLI hooks to re-read plans and verify completion.

#agent-skills#claude-code#plugin#github#ai-agent+3
GitHub
AI Agent·2026
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Ralph

snarktank

Runs an autonomous agent loop that uses AI coding tools (Amp or Claude Code) to implement PRD user stories iteratively, persisting context via git history, progress.txt and prd.json; designed for small, CI-backed tasks.

#agent-skills#ai-agent#ai-coding#claude-code#anthropic+4
GitHub
AI Coding Tutorials·2026
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Claude Code Ultimate Guide

Florian Bruniaux

Provides a comprehensive, security-first guide and template library for using Claude Code — from core concepts and agentic workflows to production hardening. Includes threat DB (CVE mappings), 219 templates, 271-question quiz, and interactive diagrams.

#claude-code#claude#ai-coding#mcp-server#mcp+5
GitHub
AI Agent·2026
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oh-my-claudecode

Yeachan-Heo

Teams-first orchestration layer for Claude Code that runs, coordinates, and parallelizes multi-agent workflows from the CLI/tmux. Features team pipelines, skill extraction, provider adapters (Codex/Gemini), and realtime HUD for developer-focused automation.

#claude-code#claude#anthropic#ai-agent#ai-workflow+4
GitHub
AI Agent·2026
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Multica

multica-ai

Turns coding agents into assignable teammates that pick up issues, run on local or cloud runtimes, stream progress, and convert solutions into reusable skills; vendor-neutral, self-hostable platform with a local daemon and multi-workspace board.

#agent-skills#ai-agent#ai-workflow#ai-tools#gitHub+3
GitHub
AI Agent·2026
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OpenSRE

Tracer-Cloud

Provides a framework to build, evaluate, and run AI SRE agents that investigate and remediate production incidents on your infrastructure. Includes a CLI, synthetic + end-to-end benchmark suites, and 40+ connectors for observability, infra, and LLM providers so teams can train agents and run investigations locally or in cloud.

#ai-agent#mlops#cli#github#python+4
GitHub
AI Coding·2026
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Ouroboros

Q00

Specification-first workflow engine that turns vague ideas into verified codebases via a Socratic interview, immutable seed specs, and a 3-stage evaluation gate. Integrates with Claude Code and Codex CLI; CLI-first.

#ai-coding#ai-workflow#cli#python#mcp+3
GitHub
AI Client·2026
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Accomplish

Accomplish

Automates file management, document creation, and browser workflows on your desktop by running a local Electron agent; you bring API keys or run local models, control folder access, and save repeatable 'skills' for approved, auditable automation.

#ai-agent#ai-tools#agent-skills#ai-client#ai-workflow+5
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