ruvnetSkillgithub-workflow-automation
ruvnet/RuView/.claude/skills/github-workflow-automation/SKILL.md
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
Find the best CLAUDE.md, AGENTS.md and Claude skills
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ruvnetSkillruvnetSkillHooks Automation
ruvnet/RuView/.claude/skills/hooks-automation/SKILL.md
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.
ruvnetSkillReasoningBank with AgentDB
ruvnet/RuView/.claude/skills/reasoningbank-agentdb/SKILL.md
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
ruvnetSkillSkill Builder
ruvnet/RuView/.claude/skills/skill-builder/SKILL.md
Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills specification.
ruvnetSkillsparc-methodology
ruvnet/RuView/.claude/skills/sparc-methodology/SKILL.md
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
ruvnetSkillstream-chain
ruvnet/RuView/.claude/skills/stream-chain/SKILL.md
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
ruvnetSkillswarm-advanced
ruvnet/RuView/.claude/skills/swarm-advanced/SKILL.md
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
ruvnetSkillSwarm Orchestration
ruvnet/RuView/.claude/skills/swarm-orchestration/SKILL.md
Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
infiniflowAGENTS.mdragflow
infiniflow/ragflow/AGENTS.md
layers. ## Current stack - Backend: Python 3.13+, Quart-based API server, Peewee ORM, async workers. - Frontend: React + TypeScript + Vite in `web/`. When working under `web/`, read and follow `web/AGENTS.md` — it holds
infiniflowAGENTS.mdragflow / web
infiniflow/ragflow/web/AGENTS.md
This file provides guidance to Claude Code (claude.ai/code) when working with the RAGFlow frontend (`web/`). ## Project Overview RAGFlow frontend is a React/TypeScript application built with UmiJS: - **Components**: shadcn/ui - **Styling
LeonxlnxSkillindustrial-brutalist-ui
Leonxlnx/taste-skill/skills/brutalist-skill/SKILL.md
Raw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.
LeonxlnxSkillgpt-taste
Leonxlnx/taste-skill/skills/gpt-tasteskill/SKILL.md
Elite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing.
LeonxlnxSkillimage-to-code
Leonxlnx/taste-skill/skills/image-to-code-skill/SKILL.md
Elite website image-to-code skill for Codex. For visually important web tasks, it must first generate the design image(s) itself, deeply analyze them, then implement the website to match them as closely as possible. In Codex, it must prefer large, readable, section-specific images instead of tiny compressed boards, generate fresh standalone images for sections or detail views instead of cropping old ones, avoid lazy under-generation, avoid cards-inside-cards-inside-cards UI, and keep the hero clean, spacious, readable, and visible on a small laptop.
Leonxlnxllms.txttaste-skill / skills
Leonxlnx/taste-skill/skills/llms.txt
preserved for projects depending on its exact behavior. The current default is `design-taste-frontend` (v2 experimental). gpt-taste: Elite Awwwards-level frontend design and GSAP motion skill for premium
LeonxlnxSkillminimalist-ui
Leonxlnx/taste-skill/skills/minimalist-skill/SKILL.md
Clean editorial-style interfaces. Warm monochrome palette, typographic contrast, flat bento grids, muted pastels. No gradients, no heavy shadows.
LeonxlnxSkillstitch-design-taste
Leonxlnx/taste-skill/skills/stitch-skill/SKILL.md
Semantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.
koala73llms.txtworldmonitor
koala73/worldmonitor/public/llms-full.txt
# World Monitor > Real-time global intelligence dashboard — AI-powered news aggregation, geopolitical monitoring, and
koala73llms.txtworldmonitor
koala73/worldmonitor/public/llms.txt
www.worldmonitor.app/api/download?platform=macos-x64): macOS x64 build - [Linux AppImage](https://www.worldmonitor.app/api/download?platform=linux-appimage): Linux .AppImage ## Tech Stack - **Frontend**: TypeScript, Vite, MapLibre GL JS, deck.gl, D3.js, Transformers.js (browser-side ML) - **Internationalization**: i18next with lazy
bytedanceAGENTS.mddeer-flow
bytedance/deer-flow/AGENTS.md
chain, sandbox, MCP, skills, memory, IM channels, persistence/migrations, config system, test layout. - **[frontend/AGENTS.md](frontend/AGENTS.md)** — frontend depth: Next.js App Router layout, thread/streaming data flow, code style, commands. ## What is DeerFlow DeerFlow
bytedanceAGENTS.mddeer-flow / backend
bytedance/deer-flow/backend/AGENTS.md
environments. **Architecture**: - **Gateway API** (port 8001): REST API plus embedded LangGraph-compatible agent runtime - **Frontend** (port 3000): Next.js web interface - **Nginx** (port 2026): Unified reverse proxy entry point - **Provisioner** (port
Agent instruction files
What are agent instruction files?
Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.
CLAUDE.md or AGENTS.md?
CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.
What is a skill?
A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.
Can I search my own team's files too?
Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.