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# Skill 仓库 描述 安装量
9651 agent-v3-integration-architect ruvnet/ruflo
name: v3-integration-architect version: "3.0.0-alpha" updated: "2026-01-04" description: V3 Integration Architect for deep agentic-flow@alpha integration. Implements ADR-001 to eliminate 10,000+ duplicate lines and build claude-flow as specialized extension rather than parallel implementation. color: green metadata: v3_role: "architect" agent_id: 10 priority: "high" domain: "integration" phase: "integration" hooks: pre_execution: | echo "🔗 V3 Integration Architect starting agentic-flow@alpha dee...
1.1K
9652 agent-quorum-manager ruvnet/ruflo
name: quorum-manager type: coordinator color: "673AB7" description: Implements dynamic quorum adjustment and intelligent membership management capabilities: dynamic_quorum_calculation membership_management network_monitoring weighted_voting fault_tolerance_optimization priority: high hooks: pre: | echo "🎯 Quorum Manager adjusting: $TASK" Assess current network conditions if [[ "$TASK" == "quorum" ]]; then echo "📡 Analyzing network topology and node health" fi post: | echo "⚖️ Quorum adjustment ...
1.1K
9653 agent-pagerank-analyzer ruvnet/ruflo
name: pagerank-analyzer description: Expert agent for graph analysis and PageRank calculations using sublinear algorithms. Specializes in network optimization, influence analysis, swarm topology optimization, and large-scale graph computations. Use for social network analysis, web graph analysis, recommendation systems, and distributed system topology design. color: purple You are a PageRank Analyzer Agent, a specialized expert in graph analysis and PageRank calculations using advanced sublinear...
1.1K
9654 agent-migration-plan ruvnet/ruflo
name: migration-planner type: planning color: red description: Comprehensive migration plan for converting commands to agent-based system capabilities: migration-planning system-transformation agent-mapping compatibility-analysis rollout-coordination priority: medium hooks: pre: | echo "📋 Agent System Migration Planner activated" echo "🔄 Analyzing current command structure for migration" Check existing command structure if [ -d ".claude$commands" ]; then echo "📁 Found existing command directory ...
1.1K
9655 agent-v3-performance-engineer ruvnet/ruflo
name: v3-performance-engineer version: "3.0.0-alpha" updated: "2026-01-04" description: V3 Performance Engineer for achieving aggressive performance targets. Responsible for 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, and comprehensive benchmarking suite. color: yellow metadata: v3_role: "specialist" agent_id: 14 priority: "high" domain: "performance" phase: "optimization" hooks: pre_execution: | echo "⚡ V3 Performance Engineer starting optimization mission..." echo "🎯...
1.1K
9656 agent-multi-repo-swarm ruvnet/ruflo
name: multi-repo-swarm description: Cross-repository swarm orchestration for organization-wide automation and intelligent collaboration type: coordination color: "FF6B35" tools: Bash Read Write Edit Glob Grep LS TodoWrite mcp__claude-flow__swarm_init mcp__claude-flow__agent_spawn mcp__claude-flow__task_orchestrate mcp__claude-flow__swarm_status mcp__claude-flow__memory_usage Show more
1.1K
9657 worker-integration ruvnet/ruflo
Worker-Agent Integration Skill Intelligent coordination between background workers and specialized agents. Quick Start View agent recommendations for a trigger npx agentic-flow workers agents ultralearn npx agentic-flow workers agents optimize View performance metrics npx agentic-flow workers metrics View integration stats npx agentic-flow workers stats --integration Agent Mappings Workers automatically dispatch to optimal agents based on trigger type: Trigger Primary Agents Fallback Pipeline...
1.1K
9658 worker-benchmarks ruvnet/ruflo
Worker Benchmarks Skill Run comprehensive performance benchmarks for the agentic-flow worker system. Quick Start Run full benchmark suite npx agentic-flow workers benchmark Run specific benchmark npx agentic-flow workers benchmark --type trigger-detection npx agentic-flow workers benchmark --type registry npx agentic-flow workers benchmark --type agent-selection npx agentic-flow workers benchmark --type concurrent Benchmark Types 1. Trigger Detection ( trigger-detection ) Tests keyword detecti...
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9659 agent-benchmark-suite ruvnet/ruflo
name: Benchmark Suite type: agent category: optimization description: Comprehensive performance benchmarking, regression detection and performance validation Benchmark Suite Agent Agent Profile Name : Benchmark Suite Type : Performance Optimization Agent Specialization : Comprehensive performance benchmarking and testing Performance Focus : Automated benchmarking, regression detection, and performance validation Core Capabilities 1. Comprehensive Benchmarking Framework // Advanced benchmarking s...
1.1K
9660 agent-byzantine-coordinator ruvnet/ruflo
name: byzantine-coordinator type: coordinator color: "9C27B0" description: Coordinates Byzantine fault-tolerant consensus protocols with malicious actor detection capabilities: pbft_consensus malicious_detection message_authentication view_management attack_mitigation priority: high hooks: pre: | echo "🛡️ Byzantine Coordinator initiating: $TASK" Verify network integrity before consensus if [[ "$TASK" == "consensus" ]]; then echo "🔍 Checking for malicious actors..." fi post: | echo "✅ Byzantine ...
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9661 agent-queen-coordinator ruvnet/ruflo
name: queen-coordinator description: The sovereign orchestrator of hierarchical hive operations, managing strategic decisions, resource allocation, and maintaining hive coherence through centralized-decentralized hybrid control color: gold priority: critical You are the Queen Coordinator, the sovereign intelligence at the apex of the hive mind hierarchy. You orchestrate strategic decisions, allocate resources, and maintain coherence across the entire swarm through a hybrid centralized-decentrali...
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9662 agent-authentication ruvnet/ruflo
name: flow-nexus-auth description: Flow Nexus authentication and user management specialist. Handles login, registration, session management, and user account operations using Flow Nexus MCP tools. color: blue You are a Flow Nexus Authentication Agent, specializing in user management and authentication workflows within the Flow Nexus cloud platform. Your expertise lies in seamless user onboarding, secure authentication flows, and comprehensive account management. Your core responsibilities: Hand...
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9663 hooks automation ruvnet/ruflo
Hooks Automation Intelligent automation system that coordinates, validates, and learns from Claude Code operations through hooks integrated with MCP tools and neural pattern training. What This Skill Does This skill provides a comprehensive hook system that automatically manages development operations, coordinates swarm agents, maintains session state, and continuously learns from coding patterns. It enables automated agent assignment, code formatting, performance tracking, and cross-session mem...
1.1K
9664 agentdb vector search ruvnet/ruflo
AgentDB Vector Search What This Skill Does Implements vector-based semantic search using AgentDB's high-performance vector database with 150x-12,500x faster operations than traditional solutions. Features HNSW indexing, quantization, and sub-millisecond search (<100µs). Prerequisites Node.js 18+ AgentDB v1.0.7+ (via agentic-flow or standalone) OpenAI API key (for embeddings) or custom embedding model Quick Start with CLI Initialize Vector Database Initialize with default dimensions (1536 for Op...
1.1K
9665 v3 ddd architecture ruvnet/ruflo
V3 DDD Architecture What This Skill Does Designs and implements Domain-Driven Design (DDD) architecture for claude-flow v3, decomposing god objects into bounded contexts, implementing clean architecture patterns, and enabling modular, testable code structure. Quick Start Initialize DDD architecture analysis Task ( "Architecture analysis" , "Analyze current architecture and design DDD boundaries" , "core-architect" ) Domain modeling (parallel) Task ( "Domain decomposition" , "Break down orchest...
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9666 agent-base-template-generator ruvnet/ruflo
name: base-template-generator description: Use this agent when you need to create foundational templates, boilerplate code, or starter configurations for new projects, components, or features. This agent excels at generating clean, well-structured base templates that follow best practices and can be easily customized. Examples: Context: User needs to start a new React component and wants a solid foundation. user: 'I need to create a new user profile component' assistant: 'I'll use the base-templ...
1.1K
9667 v3 cli modernization ruvnet/ruflo
V3 CLI Modernization What This Skill Does Modernizes claude-flow v3 CLI with interactive prompts, intelligent command decomposition, enhanced hooks integration, performance optimization, and comprehensive workflow automation capabilities. Quick Start Initialize CLI modernization analysis Task ( "CLI architecture" , "Analyze current CLI structure and identify optimization opportunities" , "cli-hooks-developer" ) Modernization implementation (parallel) Task ( "Command decomposition" , "Break dow...
1.1K
9668 reasoningbank intelligence ruvnet/ruflo
ReasoningBank Intelligence What This Skill Does Implements ReasoningBank's adaptive learning system for AI agents to learn from experience, recognize patterns, and optimize strategies over time. Enables meta-cognitive capabilities and continuous improvement. Prerequisites agentic-flow v1.5.11+ AgentDB v1.0.4+ (for persistence) Node.js 18+ Quick Start import { ReasoningBank } from 'agentic-flow$reasoningbank' ; // Initialize ReasoningBank const rb = new ReasoningBank ( { persist : true , learning...
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9669 v3 core implementation ruvnet/ruflo
V3 Core Implementation What This Skill Does Implements the core TypeScript modules for claude-flow v3 following Domain-Driven Design principles, clean architecture patterns, and modern TypeScript best practices with comprehensive test coverage. Quick Start Initialize core implementation Task ( "Core foundation" , "Set up DDD domain structure and base classes" , "core-implementer" ) Domain implementation (parallel) Task ( "Task domain" , "Implement task management domain with entities and servi...
1.1K
9670 reasoningbank with agentdb ruvnet/ruflo
ReasoningBank with AgentDB What This Skill Does Provides ReasoningBank adaptive learning patterns using AgentDB's high-performance backend (150x-12,500x faster). Enables agents to learn from experiences, judge outcomes, distill memories, and improve decision-making over time with 100% backward compatibility. Performance : 150x faster pattern retrieval, 500x faster batch operations, <1ms memory access. Prerequisites Node.js 18+ AgentDB v1.0.7+ (via agentic-flow) Understanding of reinforcement lea...
1.1K
9671 agentdb memory patterns ruvnet/ruflo
AgentDB Memory Patterns What This Skill Does Provides memory management patterns for AI agents using AgentDB's persistent storage and ReasoningBank integration. Enables agents to remember conversations, learn from interactions, and maintain context across sessions. Performance : 150x-12,500x faster than traditional solutions with 100% backward compatibility. Prerequisites Node.js 18+ AgentDB v1.0.7+ (via agentic-flow or standalone) Understanding of agent architectures Quick Start with CLI Initia...
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9672 agentdb performance optimization ruvnet/ruflo
AgentDB Performance Optimization What This Skill Does Provides comprehensive performance optimization techniques for AgentDB vector databases. Achieve 150x-12,500x performance improvements through quantization, HNSW indexing, caching strategies, and batch operations. Reduce memory usage by 4-32x while maintaining accuracy. Performance : <100µs vector search, <1ms pattern retrieval, 2ms batch insert for 100 vectors. Prerequisites Node.js 18+ AgentDB v1.0.7+ (via agentic-flow) Existing AgentDB dat...
1.1K
9673 v3 deep integration ruvnet/ruflo
V3 Deep Integration What This Skill Does Transforms claude-flow from parallel implementation to specialized extension of agentic-flow@alpha, eliminating massive code duplication while achieving performance improvements and feature parity. Quick Start Initialize deep integration Task ( "Integration architecture" , "Design agentic-flow@alpha adapter layer" , "v3-integration-architect" ) Feature integration (parallel) Task ( "SONA integration" , "Integrate 5 SONA learning modes" , "v3-integration...
1.1K
9674 v3 memory unification ruvnet/ruflo
V3 Memory Unification What This Skill Does Consolidates disparate memory systems into unified AgentDB backend with HNSW vector search, achieving 150x-12,500x search performance improvements while maintaining backward compatibility. Quick Start Initialize memory unification Task ( "Memory architecture" , "Design AgentDB unification strategy" , "v3-memory-specialist" ) AgentDB integration Task ( "AgentDB setup" , "Configure HNSW indexing and vector search" , "v3-memory-specialist" ) Data migrat...
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9675 agentdb advanced features ruvnet/ruflo
AgentDB Advanced Features What This Skill Does Covers advanced AgentDB capabilities for distributed systems, multi-database coordination, custom distance metrics, hybrid search (vector + metadata), QUIC synchronization, and production deployment patterns. Enables building sophisticated AI systems with sub-millisecond cross-node communication and advanced search capabilities. Performance : <1ms QUIC sync, hybrid search with filters, custom distance metrics. Prerequisites Node.js 18+ AgentDB v1.0....
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9676 agentdb learning plugins ruvnet/ruflo
AgentDB Learning Plugins What This Skill Does Provides access to 9 reinforcement learning algorithms via AgentDB's plugin system. Create, train, and deploy learning plugins for autonomous agents that improve through experience. Includes offline RL (Decision Transformer), value-based learning (Q-Learning), policy gradients (Actor-Critic), and advanced techniques. Performance : Train models 10-100x faster with WASM-accelerated neural inference. Prerequisites Node.js 18+ AgentDB v1.0.7+ (via agenti...
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9677 v3 swarm coordination ruvnet/ruflo
V3 Swarm Coordination What This Skill Does Orchestrates the complete 15-agent hierarchical mesh swarm for claude-flow v3 implementation, coordinating parallel execution across domains while maintaining dependencies and timeline adherence. Quick Start Initialize 15-agent v3 swarm Task ( "Swarm initialization" , "Initialize hierarchical mesh for v3 implementation" , "v3-queen-coordinator" ) Security domain (Phase 1 - Critical priority) Task ( "Security architecture" , "Design v3 threat model and...
1.1K
9678 v3 mcp optimization ruvnet/ruflo
V3 MCP Optimization What This Skill Does Optimizes claude-flow v3 MCP (Model Context Protocol) server implementation with advanced transport layer optimizations, connection pooling, load balancing, and comprehensive performance monitoring to achieve sub-100ms response times. Quick Start Initialize MCP optimization analysis Task ( "MCP architecture" , "Analyze current MCP server performance and bottlenecks" , "mcp-specialist" ) Optimization implementation (parallel) Task ( "Connection pooling" ...
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9679 verification & quality assurance ruvnet/ruflo
Verification & Quality Assurance Skill What This Skill Does This skill provides a comprehensive verification and quality assurance system that ensures code quality and correctness through: Truth Scoring : Real-time reliability metrics (0.0-1.0 scale) for code, agents, and tasks Verification Checks : Automated code correctness, security, and best practices validation Automatic Rollback : Instant reversion of changes that fail verification (default threshold: 0.95) Quality Metrics : Statistical an...
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9680 v3 performance optimization ruvnet/ruflo
V3 Performance Optimization What This Skill Does Validates and optimizes claude-flow v3 to achieve industry-leading performance through Flash Attention, AgentDB HNSW indexing, and comprehensive system optimization with continuous benchmarking. Quick Start Initialize performance optimization Task ( "Performance baseline" , "Establish v2 performance benchmarks" , "v3-performance-engineer" ) Target validation (parallel) Task ( "Flash Attention" , "Validate 2.49x-7.47x speedup target" , "v3-perfor...
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9681 v3 security overhaul ruvnet/ruflo
V3 Security Overhaul What This Skill Does Orchestrates comprehensive security overhaul for claude-flow v3, addressing critical vulnerabilities and establishing security-first development practices using specialized v3 security agents. Quick Start Initialize V3 security domain (parallel) Task ( "Security architecture" , "Design v3 threat model and security boundaries" , "v3-security-architect" ) Task ( "CVE remediation" , "Fix CVE-1, CVE-2, CVE-3 critical vulnerabilities" , "security-auditor" ) ...
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9682 xcodebuildmcp getsentry/xcodebuildmcp
XcodeBuildMCP Use XcodeBuildMCP tools instead of raw xcodebuild , xcrun , or simctl . Capabilities: Session defaults: Configure project, scheme, simulator, and device defaults to avoid repetitive parameters Project discovery: Find Xcode projects/workspaces, list schemes, inspect build settings Simulator workflows: Build, run, test, install, and launch apps on iOS simulators; manage simulator state (boot, erase, location, appearance) Device workflows: Build, test, install, and launch apps on phys...
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9683 bankr bankrbot/skills
Bankr Execute crypto trading and DeFi operations using natural language. Two integration options: Bankr CLI (recommended) — Install @bankr/cli for a batteries-included terminal experience REST API — Call https://api.bankr.bot directly from any language or tool Both use the same API key. The API has two layers: Wallet API ( /wallet/* ) — Direct, synchronous endpoints for portfolio, transfers, signing, and transaction submission Agent API ( /agent/* ) — AI-powered async prompt endpoint for natural...
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9684 setup-artist recoupable/artist-workspace
Setup Artist Scaffold a complete artist workspace so agents can start working immediately. Prerequisites The sandbox has already been set up (see setup-sandbox skill) An artist folder exists at orgs/{org}/artists/{artist-slug}/ with a RECOUP.md marker file The RECOUP.md file contains the artist's name, slug, and Recoup ID (created by setup-sandbox ) Folder Structure {artist-slug}/ ├── RECOUP.md ├── README.md ├── .env.example ├── .env ├── context/ │ ├── artist.md │ ├── audience.md │ ├── era...
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9685 flutter-animation flutter/agent-plugins
Flutter Animations Implementation Goal Implements and manages Flutter animations, selecting the appropriate animation strategy (implicit, explicit, tween, physics, hero, or staggered) based on UI requirements. Assumes a working Flutter environment, stateful/stateless widget competence, and a standard widget tree structure. Instructions 1. Determine Animation Strategy (Decision Logic) Evaluate the UI requirement using the following decision tree to select the correct animation approach: Is the an...
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9686 flutter-routing-and-navigation flutter/agent-plugins
flutter-navigation-routing Goal Implements robust navigation and routing in Flutter applications. Evaluates application requirements to select the appropriate routing strategy (imperative Navigator , declarative Router , or nested navigation), handles deep linking, and manages data passing between routes while adhering to Flutter best practices. Instructions 1. Determine Routing Strategy (Decision Logic) Evaluate the application's navigation requirements using the following decision tree: Condit...
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9687 flutter-state-management flutter/agent-plugins
flutter-state-management Goal Implements robust state management and architectural patterns in Flutter applications using Unidirectional Data Flow (UDF) and the Model-View-ViewModel (MVVM) design pattern. Evaluates state complexity to differentiate between ephemeral (local) state and app (shared) state, applying the appropriate mechanisms ( setState , ChangeNotifier , or the provider package). Ensures that the UI remains a pure function of immutable state and that the data layer acts as the Sing...
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9688 planning-with-files zhaono1/agent-playbook
Planning with Files Work like Manus: Use persistent markdown files as your "working memory on disk." FIRST: Check for Previous Session (v2.2.0) Before starting work , check for unsynced context from a previous session: Linux/macOS $( command -v python3 || command -v python ) ${CLAUDE_PLUGIN_ROOT} /scripts/session-catchup.py " $( pwd ) " Windows PowerShell & ( Get-Command python - ErrorAction SilentlyContinue ) . Source " $env :USERPROFILE\.claude\skills\planning-with-files\scripts\session-catc...
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9689 flutter-architecture flutter/agent-plugins
Flutter Architecture Overview Provides architectural guidance and best practices for building scalable Flutter applications using MVVM pattern, layered architecture, and recommended design patterns from the Flutter team. Project Structure: Feature-First vs Layer-First Choose the right project organization based on your app's complexity and team size. Feature-First (Recommended for teams) Organize code by business features: lib/ ├── features/ │ ├── auth/ │ │ ├── data/ │ │ ├── domain/ │ ...
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9690 test-cases stellarlinkco/myclaude
Test Cases Generator This skill generates comprehensive, requirement-driven test cases from PRD documents or user requirements. Purpose Transform product requirements into structured test cases that ensure complete coverage of functionality, edge cases, error scenarios, and state transitions. The skill follows a pragmatic testing philosophy: test what matters, ensure every requirement has corresponding test coverage, and maintain test quality over quantity. When to Use Trigger this skill when: U...
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9691 inngest sickn33/agentic-awesome-skills
Inngest Integration You are an Inngest expert who builds reliable background processing without managing infrastructure. You understand that serverless doesn't mean you can't have durable, long-running workflows - it means you don't manage the workers. You've built AI pipelines that take minutes, onboarding flows that span days, and event-driven systems that process millions of events. You know that the magic of Inngest is in its steps - each one a checkpoint that survives failures. Your core...
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9692 code-refactoring-refactor-clean sickn33/agentic-awesome-skills
Refactor and Clean Code You are a code refactoring expert specializing in clean code principles, SOLID design patterns, and modern software engineering best practices. Analyze and refactor the provided code to improve its quality, maintainability, and performance. Use this skill when Refactoring tangled or hard-to-maintain code Reducing duplication, complexity, or code smells Improving testability and design consistency Preparing modules for new features safely Do not use this skill when You onl...
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9693 architect-review sickn33/agentic-awesome-skills
You are a master software architect specializing in modern software architecture patterns, clean architecture principles, and distributed systems design. Use this skill when Reviewing system architecture or major design changes Evaluating scalability, resilience, or maintainability impacts Assessing architecture compliance with standards and patterns Providing architectural guidance for complex systems Do not use this skill when You need a small code review without architectural impact The chang...
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9694 cs-explore codestable/codestable
cs-explore 同一个问题第一次花两小时查代码,第二次应该五分钟内找到答案——前提是第一次做完留下证据化的记录。cs-explore 把"提问 → 读代码 → 得结论"沉淀成可检索的探索文档。 适用场景 新人入仓快速理解模块边界 / 调用链 / 入口 用户提具体问题但暂时不要求直接产出方案 / 修复 feature-design / issue-analyze / issue-fix 前先补一轮证据化探索 技术方向还在讨论,需要轻量 spike(只探索不拍板) 本技能只负责"看到了什么"的证据化记录。用户意图是别的(拍板 / 处方 / 修 bug)让用户按场景选对应子技能。 共享路径与命名约定看 codestable/reference/shared-conventions.md 。产物写入 codestable/compound/ ,命名 YYYY-MM-DD-explore-{slug}.md ,frontmatter 带 doc_type: explore 。 三种探索类型 frontmatter 的 type 字段: 类型 适用情境 question 围绕一个具体问题查代...
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9695 cs-learn codestable/codestable
cs-learn 每次做 feature 或修 issue 都会留下 spec 文件。但 spec 记录的是"做了什么"和"怎么做的", 不会记录"踩了什么坑"和"发现了什么更好的做法" 。没有沉淀的团队总在重复解决同一个问题。 两条轨道: 坑点轨道 (pitfall):记录问题 / 根因 / 解法,防止下次再掉进同一个坑 知识轨道 (knowledge):记录最佳实践 / 工作流改进 / 可复用模式 两者都写入 codestable/compound/ (共享目录见 shared-conventions.md 第 1 节"归档类文档")。本技能产出 frontmatter 带 doc_type: learning ,命名 YYYY-MM-DD-learning-{slug}.md 。 什么时候触发 情境 说明 完成 feature 工作流 cs-feat-accept 主动问"要记录这次的学习点吗?" 完成 issue 工作流 cs-issue-fix 主动问"要把这个坑记录下来吗?" 用户主动 "记录一下"、"沉淀知识"、"learning"等 解决了一次性难题 不在 featur...
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9696 cs-arch codestable/codestable
cs-arch codestable/architecture/ 是项目"地图"——design 写方案前读它定位、issue-analyze 做根因时读它理解模块边界、新人读它知道系统大致长什么样。本技能是"起草 / 刷新 / 体检"三件事的统一入口。 architecture 是累积的、自给自足的系统地图 ,不是某次 feature 的详细方案,而是所有已落地 feature 沉淀下来的"系统现在长什么样"总图。读者打开应能看懂整体结构而不需要跳回历史 design。design 是临时增量稿,acceptance 把稳定下来的名词 / 编排 / 约束提炼回这里;design 文件归档,只在追究具体决策细节时翻。 只记现状不记计划 ——默认在 acceptance 跟着代码同步,必要时本技能主动 backfill / update。 不写"未来会加什么层"、"下一步打算拆出 X 模块" ——那些归 cs-roadmap 。用户说"我想重构成 X 架构"先走 roadmap 拆 feature,每次 acceptance 把实际达到的结构提炼回 architecture。 详略判据:...
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9697 lint-and-validate sickn33/agentic-awesome-skills
Lint and Validate Skill MANDATORY: Run appropriate validation tools after EVERY code change. Do not finish a task until the code is error-free. Procedures by Ecosystem Node.js / TypeScript Lint/Fix: npm run lint or npx eslint "path" --fix Types: npx tsc --noEmit Security: npm audit --audit-level=high Python Linter (Ruff): ruff check "path" --fix (Fast & Modern) Security (Bandit): bandit -r "path" -ll Types (MyPy): mypy "path" The Quality Loop Write/Edit Code Run Audit: npm run lint && npx tsc ...
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9698 autonomous-agents sickn33/agentic-awesome-skills
Autonomous Agents You are an agent architect who has learned the hard lessons of autonomous AI. You've seen the gap between impressive demos and production disasters. You know that a 95% success rate per step means only 60% by step 10. Your core insight: Autonomy is earned, not granted. Start with heavily constrained agents that do one thing reliably. Add autonomy only as you prove reliability. The best agents look less impressive but work consistently. You push for guardrails before capabili...
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9699 feature-flags react/react
React Feature Flags Flag Files File Purpose packages/shared/ReactFeatureFlags.js Default flags (canary), __EXPERIMENTAL__ overrides packages/shared/forks/ReactFeatureFlags.www.js www channel, __VARIANT__ overrides packages/shared/forks/ReactFeatureFlags.native-fb.js React Native, __VARIANT__ overrides packages/shared/forks/ReactFeatureFlags.test-renderer.js Test renderer Gating Tests @gate pragma (test-level) Use when the feature is completely unavailable without the flag: // @gate enableViewT...
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9700 cs-decide codestable/codestable
cs-decide 项目里"有意做出的选择"——技术选型 / 架构决定 / 长期约束 / 编码规约——特别容易丢失。它不会触发报错、没人会注意到它消失,但消失代价很具体: 新人(或六个月后的自己)不知道约束的来龙去脉,在"已经决定过的问题"上重复耗时讨论 AI 没有决策上下文给出"合理但与项目规约冲突"的方案 约束需要修改时找不到当初的理由,无法评估修改影响 本工作流让每一条重要的"已经决定了"都有完整存档: 是什么、为什么、考虑过什么替代方案、后果是什么 。 共享路径与命名约定看 codestable/reference/shared-conventions.md 。产物写入 codestable/compound/ ,命名 YYYY-MM-DD-decision-{slug}.md ,frontmatter 带 doc_type: decision 。 四种决策类型 每条归属四类之一(frontmatter 的 category 字段标注): 类型 适用情境 示例 tech-stack 技术 / 库 / 框架的选型 "用 Vite 而非 Webpack"、"状态管理用 Pinia"...
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