███████╗██╗ ██╗██╗██╗ ██╗ ██████╗ █████╗ ███╗ ██╗██╗ ██╗
██╔════╝██║ ██╔╝██║██║ ██║ ██╔══██╗██╔══██╗████╗ ██║██║ ██╔╝
███████╗█████╔╝ ██║██║ ██║ ██████╔╝███████║██╔██╗ ██║█████╔╝
╚════██║██╔═██╗ ██║██║ ██║ ██╔══██╗██╔══██║██║╚██╗██║██╔═██╗
███████║██║ ██╗██║███████╗███████╗ ██║ ██║██║ ██║██║ ╚████║██║ ██╗
╚══════╝╚═╝ ╚═╝╚═╝╚══════╝╚══════╝ ╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚═══╝╚═╝ ╚═╝
Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 13851 | home-assistant-custom-integration | bradsjm/hassio-addons |
Home Assistant Custom Integration Examples Workflow Read the official docs overview first. Use the practical checklist while building. Start from the template example, then layer in complexity with the intermediate and push-data examples. References All reference and script files are relative to the location of this SKILL.md file. Official docs overview: references/official-docs.md Build checklist: references/checklist.md Template example: references/msp_integration_101_template Intermediate exa...
|
351 |
| 13852 | sentence-transformers | davila7/claude-code-templates |
Sentence Transformers - State-of-the-Art Embeddings Python framework for sentence and text embeddings using transformers. When to use Sentence Transformers Use when: Need high-quality embeddings for RAG Semantic similarity and search Text clustering and classification Multilingual embeddings (100+ languages) Running embeddings locally (no API) Cost-effective alternative to OpenAI embeddings Metrics: 15,700+ GitHub stars 5000+ pre-trained models 100+ languages supported Based on PyTorch/Tra...
|
351 |
| 13853 | mlops-engineer | sickn33/antigravity-awesome-skills |
Use this skill when Working on mlops engineer tasks or workflows Needing guidance, best practices, or checklists for mlops engineer Do not use this skill when The task is unrelated to mlops engineer You need a different domain or tool outside this scope Instructions Clarify goals, constraints, and required inputs. Apply relevant best practices and validate outcomes. Provide actionable steps and verification. If detailed examples are required, open resources/implementation-playbook.md . You are a...
|
351 |
| 13854 | docs | buiducnhat/agent-skills |
Docs Create and maintain project documentation in docs/ with a consistent, lightweight workflow. Parameters --init : Create documentation for the first time. --update : Refresh existing documentation without rewriting from scratch. Outputs Always maintain these files: docs/project-pdr.md — product goals, users, requirements docs/code-standard.md — stack, conventions, development rules docs/codebase.md — codebase map and key files docs/architecture.md — components, interactions, data flow Also ke...
|
351 |
| 13855 | no-task-output | parcadei/continuous-claude-v3 |
Never Use TaskOutput TaskOutput floods the main context window with agent transcripts (70k+ tokens). Rule NEVER use TaskOutput tool. Use Task tool with synchronous mode instead. Why TaskOutput reads full agent transcript into context This causes mid-conversation compaction Defeats the purpose of agent context isolation Pattern WRONG - floods context Task(run_in_background=true) TaskOutput(task_id="...") // 70k tokens dumped RIGHT - isolated context, returns summary Task(run_in_background...
|
351 |
| 13856 | pint-compute | parcadei/continuous-claude-v3 |
Unit Computation with Pint Cognitive prosthetics for unit-aware computation. Use Pint for converting between units, performing unit arithmetic, checking dimensional compatibility, and simplifying compound units. When to Use Converting between units (meters to feet, kg to pounds) Unit-aware arithmetic (velocity x time = distance) Dimensional analysis (is force = mass x acceleration?) Simplifying compound units to base or named units Parsing and analyzing quantities with units Quick Reference I ...
|
351 |
| 13857 | agentica-server | parcadei/continuous-claude-v3 |
Agentica Server + Claude Proxy Setup Complete reference for running Agentica SDK with a local Claude proxy. This enables Python agents to use Claude CLI as their inference backend. When to Use Use this skill when: Starting Agentica development with Claude proxy Debugging connection issues between SDK, server, and proxy Setting up a fresh Agentica environment Troubleshooting agent tool access or hallucination issues Architecture Agentica SDK (client code) | S_M_BASE_URL=http://localhost:2...
|
351 |
| 13858 | mot | parcadei/continuous-claude-v3 |
MOT - System Health Check Run comprehensive health checks on all Claude Code components. Usage /mot Full audit (all categories) /mot skills Just skills /mot agents Just agents /mot hooks Just hooks /mot memory Just memory system /mot --fix Auto-fix simple issues /mot --quick P0 checks only (fast) Audit Process Phase 1: Skills Audit Count skills echo "=== SKILLS ===" SKILL_COUNT=$(find .claude/skills -name "SKILL.md" | wc -l | xargs) ec...
|
351 |
| 13859 | youtube-search | zeropointrepo/youtube-skills |
YouTube Search Search YouTube and fetch transcripts via TranscriptAPI.com . Setup If $TRANSCRIPT_API_KEY is not set, help the user create an account (100 free credits, no card): Step 1 — Register: Ask user for their email. node ./scripts/tapi-auth.js register --email USER_EMAIL → OTP sent to email. Ask user: "Check your email for a 6-digit verification code." Step 2 — Verify: Once user provides the OTP: node ./scripts/tapi-auth.js verify --token TOKEN_FROM_STEP_1 --otp CODE API key saved to your...
|
351 |
| 13860 | zig-best-practices | 0xbigboss/claude-code |
Zig Best Practices Type-First Development Types define the contract before implementation. Follow this workflow: Define data structures - structs, unions, and error sets first Define function signatures - parameters, return types, and error unions Implement to satisfy types - let the compiler guide completeness Validate at comptime - catch invalid configurations during compilation Make Illegal States Unrepresentable Use Zig's type system to prevent invalid states at compile time. Tagged unio...
|
351 |
| 13861 | fpf:reset | neolabhq/context-engineering-kit |
Reset Cycle Reset the FPF reasoning cycle to start fresh. Action (Run-Time) Option 1: Soft Reset (Archive Current Session) Create a session archive and clear active work: Create Session Archive Create a file in .fpf/sessions/ to record the completed/abandoned session: In .fpf/sessions/session-2025-01-15-reset.md --- id: session-2025-01-15-reset action: reset created: 2025-01-15T16:00:00Z reason: user_requested --- Session Archive: 2025-01-15 Reset Reason : User requested fresh start State a...
|
350 |
| 13862 | pinia-best-practices | hyf0/vue-skills |
TypeScript configuration and common pitfalls for Pinia stores in Vue 3 applications. When to Apply - Working with Pinia stores in TypeScript projects - Debugging `storeToRefs` type issues - Fixing getter circular type references - Setting up type-safe store patterns Capability Rules Rules that enable AI to solve problems it cannot solve without the skill. | [storeToRefs-type-loss](https://github.com/hyf0/vue-skills/blob/main/skills/pinia-best-practices/rules/storeToRefs-type-loss.md) ...
|
350 |
| 13863 | tdd-migrate | parcadei/continuous-claude-v3 |
TDD Migrate Orchestrate TDD migrations with agents doing all work. Main context stays clean. When to Use "Port X from Python to TypeScript" "Create N adapters following existing pattern" "Migrate module to new architecture" "TDD implementation of multiple similar items" Parameters /tdd-migrate <source_path> <target_path> --pattern <reference> --items "item1,item2,item3" source_path: Path to analyze (existing code) target_path: Where to create new code pattern: Reference file/pattern to follow...
|
350 |
| 13864 | tour | parcadei/continuous-claude-v3 |
Tour: What Can I Do? Friendly onboarding when users ask about capabilities. Triggers Activate when user says things like: "what can you do?" "what can I do?" "help me get started" "show me around" "what features are available?" "how does this work?" Response Template Give a warm, practical overview: What I Can Do I'm Claude Code with persistent memory and specialized capabilities. Here's what makes me useful: Code & Development Write & edit code - any language, any framework Debug issues...
|
350 |
| 13865 | custom-code-management | webflow/webflow-skills |
Custom Code Management Concepts Webflow custom code: register (store script) → apply (attach to site). Inline scripts only via MCP (max 10,000 chars). Important note ALWAYS use Webflow MCP tools for all operations: Use the following tools for all operations: data_scripts_tool with actions list_registered_scripts / list_applied_scripts - List scripts data_scripts_tool with action add_inline_site_script - Register inline script (no <script> tags) data_scripts_tool with action delete_all_site_s...
|
350 |
| 13866 | personal-productivity | oldwinter/skills |
Personal Productivity Help the user manage their time and tasks more effectively using techniques from 2 product leaders. How to Help When the user asks for help with personal productivity: Understand their situation - Ask what's overwhelming them, how they currently manage their time, and what outcomes they're trying to achieve Identify the bottleneck - Determine if the issue is prioritization, focus, energy management, or too many commitments Apply practical techniques - Help them implement ti...
|
350 |
| 13867 | soul-self-evolution | cklxx/elephant.ai |
soul-self-evolution 对 SOUL.md 或 docs/reference/SOUL.md 进行受控更新: 只允许改动可演进段 记录 checkpoint 支持一键回滚 调用 python3 skills/soul-self-evolution/run.py apply --path docs/reference/SOUL.md --changes '[{"section":" Collaboration Preferences","content":"- Keep updates concise."}]' python3 skills/soul-self-evolution/run.py list_checkpoints
|
350 |
| 13868 | database-design | skillcreatorai/ai-agent-skills |
Database Design Learn to THINK, not copy SQL patterns. 🎯 Selective Reading Rule Read ONLY files relevant to the request! Check the content map, find what you need. File Description When to Read database-selection.md PostgreSQL vs Neon vs Turso vs SQLite Choosing database orm-selection.md Drizzle vs Prisma vs Kysely Choosing ORM schema-design.md Normalization, PKs, relationships Designing schema indexing.md Index types, composite indexes Performance tuning optimization.md N+1, EXPLAIN ANALYZE Que...
|
350 |
| 13869 | test-data-generation | aj-geddes/useful-ai-prompts |
Test Data Generation Overview Test data generation creates realistic, consistent, and maintainable test data for automated testing. Well-designed test data reduces test brittleness, improves readability, and makes it easier to create diverse test scenarios. When to Use Creating fixtures for integration tests Generating fake data for development databases Building test data with complex relationships Creating realistic user inputs for testing Seeding test databases Generating edge cases and bou...
|
350 |
| 13870 | frontend-state-management | aj-geddes/useful-ai-prompts |
Frontend State Management Overview Implement scalable state management solutions using modern patterns and libraries to handle application state, side effects, and data flow across components. When to Use Complex application state Multiple components sharing state Predictable state mutations Time-travel debugging needs Server state synchronization Implementation Examples 1. Redux with Redux Toolkit (React) // store/userSlice.ts import { createSlice, createAsyncThunk, PayloadAction } from '@red...
|
350 |
| 13871 | aws-ec2-setup | aj-geddes/useful-ai-prompts |
AWS EC2 Setup Overview Amazon EC2 provides resizable compute capacity in the cloud. Launch and configure virtual servers with complete control over networking, storage, and security settings. Scale automatically based on demand. When to Use Web application servers Application backends and APIs Batch processing and compute jobs Development and testing environments Containerized applications (ECS) Kubernetes clusters (EKS) Database servers VPN and proxy servers Implementation Examples 1. EC2 Ins...
|
350 |
| 13872 | search-router | parcadei/continuous-claude-v3 |
Search Tool Router Use the most token-efficient search tool for each query type. When to Use Searching for code patterns Finding where something is implemented Looking for specific identifiers Understanding how code works Decision Tree Query Type? ├── CODE EXPLORATION (symbols, call chains, data flow) │ → TLDR Search - 95% token savings │ DEFAULT FOR ALL CODE SEARCH - use instead of Grep │ Examples: "spawn_agent", "DataPoller", "redis usage" │ Command: tldr search "query" . │ ├── STRUC...
|
350 |
| 13873 | fastify | bobmatnyc/claude-mpm-skills |
Fastify (TypeScript) - Production Backend Framework Overview Fastify is a high-performance Node.js web framework built around JSON schema validation, encapsulated plugins, and great developer ergonomics. In TypeScript, pair Fastify with a type provider (Zod or TypeBox) to keep runtime validation and static types aligned. Quick Start Minimal server ✅ Correct: basic server with typed response import Fastify from "fastify"; const app = Fastify({ logger: true }); app.get("/health", async () =>...
|
350 |
| 13874 | imagen | sanjay3290/ai-skills |
No SKILL.md available for this skill. View on GitHub
|
350 |
| 13875 | quien-whois-lookup | aradotso/trending-skills |
quien — Better WHOIS Lookup Tool Skill by ara.so — Daily 2026 Skills collection. quien is a Go-based CLI/TUI tool that replaces whois with tabbed interactive views and JSON-scriptable subcommands for domain WHOIS/RDAP, DNS records, mail configuration (SPF, DMARC, DKIM, BIMI), SSL/TLS, HTTP headers, tech stack detection, and IP/ASN/BGP lookups. Installation Homebrew (macOS/Linux) brew tap retlehs/tap brew install retlehs/tap/quien Ubuntu / Debian curl -fsSL https://apt.quien.dev/install.sh | sudo...
|
350 |
| 13876 | progressive-blur-header-swiftui | aradotso/trending-skills |
ProgressiveBlurHeader SwiftUI Skill Skill by ara.so — Daily 2026 Skills collection. A drop-in SwiftUI package for sticky headers with progressive (variable-radius) blur — replicating the Apple Music, Photos, and App Store style where content scrolls underneath the header with increasing blur and tint. No clipping, no hard edges. Installation Swift Package Manager (Xcode) File → Add Package Dependencies → paste: https://github.com/dominikmartn/ProgressiveBlurHeader Select branch: main Package.swi...
|
350 |
| 13877 | code-refactoring-context-restore | sickn33/antigravity-awesome-skills |
Context Restoration: Advanced Semantic Memory Rehydration Use this skill when Working on context restoration: advanced semantic memory rehydration tasks or workflows Needing guidance, best practices, or checklists for context restoration: advanced semantic memory rehydration Do not use this skill when The task is unrelated to context restoration: advanced semantic memory rehydration You need a different domain or tool outside this scope Instructions Clarify goals, constraints, and required input...
|
350 |
| 13878 | backtesting-frameworks | sickn33/antigravity-awesome-skills |
Backtesting Frameworks Build robust, production-grade backtesting systems that avoid common pitfalls and produce reliable strategy performance estimates. When to Use This Skill Developing trading strategy backtests Building backtesting infrastructure Validating strategy performance Avoiding common backtesting biases Implementing walk-forward analysis Comparing strategy alternatives Core Concepts 1. Backtesting Biases Show more
|
350 |
| 13879 | ios-glass-ui-designer | heyman333/atelier-ui |
iOS Glass UI Designer Role You are a senior iOS product designer who deeply understands Apple Human Interface Guidelines, iOS material system (translucency + blur), and modern iOS-first interaction patterns. Your task is to redesign a mobile app UI to feel unmistakably Apple-like, iOS-forward, and native— with tasteful, restrained glass materials. Design Philosophy Native over custom Restraint over spectacle Material is functional, not decorative "Feels obvious" rather than "looks fancy" Glas...
|
350 |
| 13880 | fine-tuning-with-trl | davila7/claude-code-templates |
TRL - Transformer Reinforcement Learning Quick start TRL provides post-training methods for aligning language models with human preferences. Installation: pip install trl transformers datasets peft accelerate Supervised Fine-Tuning (instruction tuning): from trl import SFTTrainer trainer = SFTTrainer( model="Qwen/Qwen2.5-0.5B", train_dataset=dataset, Prompt-completion pairs ) trainer.train() DPO (align with preferences): from trl import DPOTrainer, DPOConfig config = DPOConf...
|
350 |
| 13881 | promo-video | opusgamelabs/game-creator |
Promo Video Recording Record smooth, autonomous promo footage of a Phaser game for marketing / social media. The output is a 50 FPS MP4 in mobile portrait (9:16) — ready for TikTok, Reels, Moltbook, or X. Technique Playwright's recordVideo caps at 25 FPS with no config option. We work around it: Slow the game to 0.5× by patching all 5 Phaser time subsystems Record for 2× the desired duration at Playwright's native 25 FPS FFmpeg speed-up 2× → effective 50 FPS output Parameter Default Effect SLOW_...
|
350 |
| 13882 | claude-reflect | bayramannakov/claude-reflect |
Claude Reflect - Self-Learning System A two-stage system that helps Claude Code learn from user corrections. How It Works Stage 1: Capture (Automatic) Hooks detect correction patterns ("no, use X", "actually...", "use X not Y") and queue them to ~/.claude/learnings-queue.json. Stage 2: Process (Manual) User runs /reflect to review and apply queued learnings to CLAUDE.md files. Available Commands Command Purpose /reflect Process queued learnings with human review /reflect --scan-history Scan...
|
350 |
| 13883 | ray-so-code-snippet | intellectronica/agent-skills |
ray.so Code Snippet Image Generator Generate beautiful code snippet images using ray.so and save them locally. Requirements The user MUST provide the code snippet, either directly or by pointing to a file/selection in context MUST ask the user for ALL styling parameters before generating, presenting ALL available options MUST use agent-browser for screenshot capture (check availability first) Workflow Step 1: Verify agent-browser Availability Before proceeding, verify that agent-browser is av...
|
350 |
| 13884 | seedance | songguoxs/seedance-prompt-skill |
Install the belt CLI skill: npx skills add belt-sh/cli Seedance 2.0 Video Generation Generate videos with synchronized audio using ByteDance's Seedance 2.0 via inference.sh CLI. Quick Start Requires inference.sh CLI ( belt ). Install instructions belt login belt app run bytedance/seedance-2-0 --input '{ "prompt": "a jazz band performing in a dimly lit club", "generate_audio": true }' Show more Installs 2.6K Repository skills-101/superpowers GitHub Stars 7 First Seen 10 days ago Security Audits G...
|
350 |
| 13885 | memory-hygiene | aaaaqwq/claude-code-skills |
Memory Hygiene Keep vector memory lean. Prevent token waste from junk memories. Quick Commands Audit: Check what's in memory memory_recall query="*" limit=50 Wipe: Clear all vector memory rm -rf ~/.clawdbot/memory/lancedb/ Then restart gateway: clawdbot gateway restart Reseed: After wipe, store key facts from MEMORY.md memory_store text="<fact>" category="preference|fact|decision" importance=0.9 Config: Disable Auto-Capture The main source of junk is autoCapture: true . Disable it: { "plugins" :...
|
349 |
| 13886 | psychologist-analyst | rysweet/amplihack |
Analyze events through the disciplinary lens of psychology, applying established psychological frameworks (behavioral, cognitive, psychodynamic, humanistic, biological), research methodologies, and empirical findings to understand human behavior, cognition, emotion, motivation, social influence, mental health, and individual differences in context. When to Use This Skill - Decision-Making Analysis: Understanding cognitive biases, heuristics, and irrational choices - Leadership Analysis: Exam...
|
349 |
| 13887 | alphaear-predictor | rkiding/awesome-finance-skills |
AlphaEar Predictor Skill Overview This skill utilizes the Kronos model (via KronosPredictorUtility ) to perform time-series forecasting and adjust predictions based on news sentiment. Capabilities 1. Forecast Market Trends 1. Forecast Market Trends Workflow: Generate Base Forecast : Use scripts/kronos_predictor.py (via KronosPredictorUtility ) to generate the technical/quantitative forecast. Adjust Forecast (Agentic) : Use the Forecast Adjustment Prompt in references/PROMPTS.md to subjectively a...
|
349 |
| 13888 | prometheus-monitoring | aj-geddes/useful-ai-prompts |
Prometheus Monitoring Overview Implement comprehensive Prometheus monitoring infrastructure for collecting, storing, and querying time-series metrics from applications and infrastructure. When to Use Setting up metrics collection Creating custom application metrics Configuring scraping targets Implementing service discovery Building monitoring infrastructure Instructions 1. Prometheus Configuration /etc/prometheus/prometheus.yml global: scrape_interval: 15s evaluation_interval: 15s exte...
|
349 |
| 13889 | unit-testing-framework | aj-geddes/useful-ai-prompts |
Unit Testing Framework Overview Write effective unit tests that are fast, isolated, readable, and maintainable following industry best practices and AAA (Arrange-Act-Assert) pattern. When to Use Writing tests for new code Improving test coverage Establishing testing standards Refactoring with test safety Implementing TDD (Test-Driven Development) Creating test utilities and mocks Instructions 1. Test Structure (AAA Pattern) // Jest/JavaScript example describe('UserService', () => { describe(...
|
349 |
| 13890 | exploratory data analysis | aj-geddes/useful-ai-prompts |
Exploratory Data Analysis (EDA) Overview Exploratory Data Analysis (EDA) is the critical first step in data science projects, systematically examining datasets to understand their characteristics, identify patterns, and assess data quality before formal modeling. Core Concepts Data Profiling : Understanding basic statistics and data types Distribution Analysis : Examining how variables are distributed Relationship Discovery : Identifying patterns between variables Anomaly Detection : Finding out...
|
349 |
| 13891 | rattles-terminal-spinners | aradotso/trending-skills |
Rattles Terminal Spinners Skill by ara.so — Daily 2026 Skills collection. Rattles is a minimal, zero-dependency Rust library for terminal spinners. It has no runtime or lifecycle — spinners are constructed directly in render loops with negligible cost. Supports no_std environments. Installation Cargo.toml [ dependencies ] rattles = "0.1" with std (default) no_std rattles = { version = "0.1" , default-features = false } Or via CLI: cargo add rattles no_std variant cargo add rattles --no-defau...
|
349 |
| 13892 | maoxuan-skill-cognitive-framework | aradotso/trending-skills |
毛选.skill — Mao's Cognitive Framework for Strategic Analysis Skill by ara.so — Daily 2026 Skills collection. A Claude Code skill that distills the core mental models from 《毛泽东选集》 (Selected Works of Mao Zedong) into an operational cognitive framework. Not a quote repeater — applies his analytical methods to your actual problems: startup vs. big corp, team conflicts, resource allocation, competitive strategy, career pivots. 7 core mental models · 10 decision heuristics · Full expression DNA Install...
|
349 |
| 13893 | copy-editing | davila7/claude-code-templates |
Copy Editing You are an expert copy editor specializing in marketing and conversion copy. Your goal is to systematically improve existing copy through focused editing passes while preserving the core message. Core Philosophy Check for product marketing context first: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before editing. Use brand voice and customer language from that context to guide your edits. Good copy editing isn't a...
|
349 |
| 13894 | moe-training | davila7/claude-code-templates |
MoE Training: Mixture of Experts When to Use This Skill Use MoE Training when you need to: Train larger models with limited compute (5× cost reduction vs dense models) Scale model capacity without proportional compute increase Achieve better performance per compute budget than dense models Specialize experts for different domains/tasks/languages Reduce inference latency with sparse activation (only 13B/47B params active in Mixtral) Implement SOTA models like Mixtral 8x7B, DeepSeek-V3, Switch T...
|
349 |
| 13895 | seo-content-auditor | sickn33/antigravity-awesome-skills |
Use this skill when Working on seo content auditor tasks or workflows Needing guidance, best practices, or checklists for seo content auditor Do not use this skill when The task is unrelated to seo content auditor You need a different domain or tool outside this scope Instructions Clarify goals, constraints, and required inputs. Apply relevant best practices and validate outcomes. Provide actionable steps and verification. If detailed examples are required, open resources/implementation-playbook...
|
349 |
| 13896 | angular-state-management | sickn33/antigravity-awesome-skills |
Angular State Management Comprehensive guide to modern Angular state management patterns, from Signal-based local state to global stores and server state synchronization. When to Use This Skill Setting up global state management in Angular Choosing between Signals, NgRx, or Akita Managing component-level stores Implementing optimistic updates Debugging state-related issues Migrating from legacy state patterns Do Not Use This Skill When The task is unrelated to Angular state management You need R...
|
349 |
| 13897 | figma-implement-design | davila7/claude-code-templates |
Implement Design Overview This skill provides a structured workflow for translating Figma designs into production-ready code with pixel-perfect accuracy. It ensures consistent integration with the Figma MCP server, proper use of design tokens, and 1:1 visual parity with designs. Skill Boundaries Use this skill when the deliverable is code in the user's repository. If the user asks to create/edit/delete nodes inside Figma itself, switch to figma-use . If the user asks to build or update a full-pa...
|
349 |
| 13898 | agentica-spawn | parcadei/continuous-claude-v3 |
Agentica Spawn Skill Use this skill after user selects an Agentica pattern. When to Use After agentica-orchestrator prompts user for pattern selection When user explicitly requests a multi-agent pattern (swarm, hierarchical, etc.) When implementing complex tasks that benefit from parallel agent execution For research tasks requiring multiple perspectives (use Swarm) For implementation tasks requiring coordination (use Hierarchical) For iterative refinement (use Generator/Critic) For high-stake...
|
349 |
| 13899 | neon-vercel-postgres | jezweb/claude-skills |
Neon & Vercel Serverless Postgres Status: Production Ready Last Updated: 2026-01-21 Dependencies: None Latest Versions: @neondatabase/serverless@1.0.2, @vercel/postgres@0.10.0, drizzle-orm@0.45.1, drizzle-kit@0.31.8, neonctl@2.19.0 Quick Start (5 Minutes) 1. Choose Your Platform Option A: Neon Direct (multi-cloud, Cloudflare Workers, any serverless) npm install @neondatabase/serverless Option B: Vercel Postgres (Vercel-only, zero-config on Vercel) npm install @vercel/postgres Note: Both...
|
348 |
| 13900 | ln-626-dead-code-auditor | levnikolaevich/claude-code-skills |
Dead Code Auditor (L3 Worker) Specialized worker auditing unused and unreachable code. Purpose & Scope Worker in ln-620 coordinator pipeline Audit dead code (Category 9: Low Priority) Find unused imports, variables, functions, commented-out code Calculate compliance score (X/10) Inputs (from Coordinator) Receives contextStore with tech stack, codebase root. Workflow Parse context Run dead code detection (linters, grep) Collect findings Calculate score Return JSON Audit Rules 1. Unreachable C...
|
348 |