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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 10801 | x-tweet-fetcher | ythx-101/x-tweet-fetcher |
X Tweet Fetcher Fetch tweets from X/Twitter without authentication. Supports tweet content, reply threads, user timelines, and Chinese platforms. Feature Overview Feature Command Dependencies Single tweet --url <tweet_url> None (zero deps) Reply threads --url <tweet_url> --replies Camofox User timeline --user <username> --limit 300 Camofox Chinese platforms fetch_china.py --url <url> Camofox (except WeChat) Google search camofox_search("query") Camofox Basic Usage (Zero Dependencies) Fetch a Sin...
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359 |
| 10802 | skill-review | jezweb/claude-skills |
Skill Review Skill Process Invoke: /review-skill <skill-name> or use this skill when detecting outdated patterns Production evidence: better-auth audit (2025-11-08) - found 6 critical issues including non-existent API imports, removed 665 lines incorrect code, implemented v2.0.0 9-Phase Audit Pre-Review: Install skill, check version/date, test discovery Standards: Validate YAML, keywords, third-person style, directory structure Official Docs: WebFetch/Context7 verify API patterns, GitHub upda...
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358 |
| 10803 | debugger | sickn33/antigravity-awesome-skills |
Debugger You are an expert debugger who uses systematic approaches to identify and resolve software issues efficiently. When to Apply Use this skill when: Investigating bugs or unexpected behavior Analyzing error messages and stack traces Troubleshooting performance issues Debugging production incidents Finding root causes of failures Analyzing crash dumps or logs Resolving intermittent issues Debugging Process Follow this systematic approach: 1. Understand the Problem What is the expected behav...
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| 10804 | onboard | parcadei/continuous-claude-v3 |
Create or improve onboarding experiences that help users understand, adopt, and succeed with the product quickly. Assess Onboarding Needs Understand what users need to learn and why: Identify the challenge : What are users trying to accomplish? What's confusing or unclear about current experience? Where do users get stuck or drop off? What's the "aha moment" we want users to reach? Understand the users : What's their experience level? (Beginners, power users, mixed?) What's their motivation? (Ex...
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| 10805 | commit | parcadei/continuous-claude-v3 |
Sentry Commit Messages Follow these conventions when creating commits for Sentry projects. Prerequisites Before committing, always check the current branch: git branch --show-current If you're on main or master , you MUST create a feature branch first — unless the user explicitly asked to commit to main. Do not ask the user whether to create a branch; just proceed with branch creation. The create-branch skill will still propose a branch name for the user to confirm. Use the create-branch skill t...
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| 10806 | article-extractor | michalparkola/tapestry-skills-for-claude-code |
Article Extractor This skill extracts the main content from web articles and blog posts, removing navigation, ads, newsletter signups, and other clutter. Saves clean, readable text. When to Use This Skill Activate when the user: Provides an article/blog URL and wants the text content Asks to "download this article" Wants to "extract the content from [URL]" Asks to "save this blog post as text" Needs clean article text without distractions How It Works Priority Order: Check if tools are insta...
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| 10807 | cli-reference | parcadei/continuous-claude-v3 |
CLI Reference Complete reference for Claude Code command-line interface. When to Use "What CLI flags are available?" "How do I use headless mode?" "Claude in automation/CI/CD" "Output format options" "System prompt via CLI" "How do I spawn agents properly?" Core Commands Command Description Example claude Start interactive REPL claude claude "query" REPL with initial prompt claude "explain this project" claude -p "query" Headless mode (SDK) claude -p "explain function" cat file | claude -p Pro...
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| 10808 | huggingface-accelerate | davila7/claude-code-templates |
HuggingFace Accelerate - Unified Distributed Training Quick start Accelerate simplifies distributed training to 4 lines of code. Installation: pip install accelerate Convert PyTorch script (4 lines): import torch + from accelerate import Accelerator + accelerator = Accelerator() model = torch.nn.Transformer() optimizer = torch.optim.Adam(model.parameters()) dataloader = torch.utils.data.DataLoader(dataset) + model, optimizer, dataloader = accelerator.prepare(model, optimizer, data...
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| 10809 | hono-cloudflare | bobmatnyc/claude-mpm-skills |
Hono on Cloudflare Workers Overview Hono was originally built for Cloudflare Workers and provides first-class support for the entire Cloudflare ecosystem including KV, D1, R2, Durable Objects, Queues, and more. Key Features: Native Workers support Type-safe bindings access KV, D1, R2, Durable Objects integration Static asset serving Cloudflare Pages support Queue and scheduled handlers When to Use This Skill Use Hono on Cloudflare when: Building edge APIs with global distribution Need serve...
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| 10810 | qwen-image-2 | inference-sh/skills |
Qwen-Image - Alibaba Image Generation Generate and edit images with Alibaba Qwen-Image-2.0 models via inference.sh CLI. Quick Start Requires inference.sh CLI ( infsh ). Get installation instructions: npx skills add inference-sh/skills@agent-tools infsh login infsh app run alibaba/qwen-image-2 --input '{"prompt": "A serene mountain landscape at sunset"}' Models Model App ID Speed Text Rendering Best For Qwen-Image-2.0 alibaba/qwen-image-2 Fast Good General use Qwen-Image-2.0-Pro alibaba/qwen-imag...
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| 10811 | dev-session | jezweb/claude-skills |
Dev Session Manage multi-session development work with structured progress files, checkpoint commits, and durable learnings. Produces SESSION.md files that survive context compaction and enable clean handoff between sessions. Operating Modes Mode 1: Start Session When : Beginning multi-step work, "start session", "new session for [feature]" Check if SESSION.md already exists in the project root If yes: read it and ask whether to continue the existing session or start fresh If no: create from tem...
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| 10812 | react-native-app | aj-geddes/useful-ai-prompts |
React Native App Development Overview Create robust cross-platform mobile applications using React Native with modern development patterns including navigation, state management, API integration, and native module handling. When to Use Building iOS and Android apps from single codebase Rapid prototyping for mobile platforms Leveraging web development skills for mobile Sharing code between React Native and React Web Integrating with native modules and APIs Instructions 1. Project Setup & Naviga...
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| 10813 | gguf-quantization | davila7/claude-code-templates |
GGUF - Quantization Format for llama.cpp The GGUF (GPT-Generated Unified Format) is the standard file format for llama.cpp, enabling efficient inference on CPUs, Apple Silicon, and GPUs with flexible quantization options. When to use GGUF Use GGUF when: Deploying on consumer hardware (laptops, desktops) Running on Apple Silicon (M1/M2/M3) with Metal acceleration Need CPU inference without GPU requirements Want flexible quantization (Q2_K to Q8_0) Using local AI tools (LM Studio, Ollama, text...
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| 10814 | task-execution-engine | davila7/claude-code-templates |
Feature Pipeline Execute implementation tasks directly from design documents. Tasks are managed as markdown checkboxes - no separate session files needed. Quick Reference Get next task python3 scripts/task_manager.py next --file <design.md> Mark task completed python3 scripts/task_manager.py done --file <design.md> --task "Task Title" Mark task failed python3 scripts/task_manager.py fail --file <design.md> --task "Task Title" --reason "..." Show status python3 scripts/task_manager.py st...
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| 10815 | app-store-optimization | davila7/claude-code-templates |
App Store Optimization (ASO) Skill This comprehensive skill provides complete ASO capabilities for successfully launching and optimizing mobile applications on the Apple App Store and Google Play Store. Capabilities Research & Analysis Keyword Research: Analyze keyword volume, competition, and relevance for app discovery Competitor Analysis: Deep-dive into top-performing apps in your category Market Trend Analysis: Identify emerging trends and opportunities in your app category Review Sentimen...
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| 10816 | treatment-plans | davila7/claude-code-templates |
No SKILL.md available for this skill. View on GitHub
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| 10817 | bun-development | davila7/claude-code-templates |
⚡ Bun Development Fast, modern JavaScript/TypeScript development with the Bun runtime, inspired by oven-sh/bun. When to Use This Skill Use this skill when: Starting new JS/TS projects with Bun Migrating from Node.js to Bun Optimizing development speed Using Bun's built-in tools (bundler, test runner) Troubleshooting Bun-specific issues 1. Getting Started 1.1 Installation macOS / Linux curl -fsSL https://bun.sh/install | bash Windows powershell -c "irm bun.sh/install.ps1 | iex" Homebrew ...
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| 10818 | it-operations | davila7/claude-code-templates |
IT Operations Expert A comprehensive skill for managing IT infrastructure operations, ensuring service reliability, implementing monitoring and alerting strategies, managing incidents, and maintaining operational excellence through automation and best practices. Core Principles 1. Service Reliability First Proactive Monitoring: Implement comprehensive observability before incidents occur Incident Management: Structured response processes with clear escalation paths SLA/SLO Management: Define a...
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| 10819 | parallel-agents | davila7/claude-code-templates |
Native Parallel Agents Orchestration through Claude Code's built-in Agent Tool Overview This skill enables coordinating multiple specialized agents through Claude Code's native agent system. Unlike external scripts, this approach keeps all orchestration within Claude's control. When to Use Orchestration ✅ Good for: Complex tasks requiring multiple expertise domains Code analysis from security, performance, and quality perspectives Comprehensive reviews (architecture + security + testing) F...
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| 10820 | codex | davila7/claude-code-templates |
Codex Skill Guide Running a Task Default to gpt-5.2 model. Ask the user (via AskUserQuestion ) which reasoning effort to use ( xhigh , high , medium , or low ). User can override model if needed (see Model Options below). Select the sandbox mode required for the task; default to --sandbox read-only unless edits or network access are necessary. Assemble the command with the appropriate options: -m, --model <MODEL> --config model_reasoning_effort="<high|medium|low>" --sandbox <read-only|workspace-...
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| 10821 | mcp-chaining | parcadei/continuous-claude-v3 |
MCP Chaining Pipeline A research-to-implement pipeline that chains 5 MCP tools for end-to-end workflows. When to Use Building multi-tool MCP pipelines Understanding how to chain MCP calls with graceful degradation Debugging MCP environment variable issues Learning the tool naming conventions for different MCP servers What We Built A pipeline that chains these tools: Step Server Tool ID Purpose 1 nia nia__search Search library documentation 2 ast-grep ast-grep__find_code Find AST code pattern...
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| 10822 | explicit-identity | parcadei/continuous-claude-v3 |
Explicit Identity Across Boundaries Never rely on "latest" or "current" when crossing process or async boundaries. Pattern Pass explicit identifiers through the entire pipeline. "Most recent" is a race condition. DO Pass --session-id $ID when spawning processes Store IDs in state files for later correlation Use full UUIDs, not partial matches Keep different ID types separate (don't collapse concepts) DON'T Query for "most recent session" at execution time Assume the current context will stil...
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| 10823 | shadcn-layouts | jwynia/agent-skills |
shadcn/Tailwind Layouts Help generate shadcn/Tailwind components that render correctly the first time. Most agent-generated UI fails due to missing mental models about how CSS layout works—not syntax errors, but assumption gaps. When to Use This Skill Use this skill when: Creating shadcn/Tailwind layouts Debugging height/scroll issues Fixing flex/grid problems Setting up full-page app shells Do NOT use this skill when: Writing backend code Working on non-Tailwind CSS projects Designing (us...
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| 10824 | qwen-image-2-pro | inference-sh/skills |
Qwen-Image Pro - Professional Image Generation Generate images with Alibaba Qwen-Image-2.0-Pro via inference.sh CLI. Best for professional text rendering and complex designs. Quick Start Requires inference.sh CLI ( infsh ). Get installation instructions: npx skills add inference-sh/skills@agent-tools infsh login infsh app run alibaba/qwen-image-2-pro --input '{"prompt": "Poster with title \"Welcome!\" in bold blue text"}' Pro Model Capabilities Professional Text Rendering : Multi-line and paragr...
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| 10825 | jest-typescript | bobmatnyc/claude-mpm-skills |
Jest + TypeScript - Industry Standard Testing Overview Jest is the industry-standard testing framework with 70% market share, providing a mature, battle-tested ecosystem for TypeScript projects. It offers comprehensive testing capabilities with built-in snapshot testing, mocking, and coverage reporting. Key Features: 🏆 Industry Standard: 70% market share, widely adopted 📦 All-in-One: Test runner, assertions, mocks, coverage in one package 📸 Snapshot Testing: Built-in snapshot support for UI t...
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| 10826 | telegram-mini-app | davila7/claude-code-templates |
Telegram Mini App Role: Telegram Mini App Architect You build apps where 800M+ Telegram users already are. You understand the Mini App ecosystem is exploding - games, DeFi, utilities, social apps. You know TON blockchain and how to monetize with crypto. You design for the Telegram UX paradigm, not traditional web. Capabilities Telegram Web App API Mini App architecture TON Connect integration In-app payments User authentication via Telegram Mini App UX patterns Viral Mini App mechanics TON bl...
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356 |
| 10827 | social-graphics | sanky369/vibe-building-skills |
Social Graphics Skill Overview Social Graphics creates platform-specific visual content optimized for engagement. This skill teaches you to generate graphics that perform well on each platform. Keywords: social media graphics, social posts, platform-optimized, Instagram graphics, LinkedIn posts, Twitter graphics, TikTok graphics, social content Core Methodology Social graphics have three layers: Platform Optimization — Size, format, and best practices Visual Design — Eye-catching compositio...
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356 |
| 10828 | prose-style | jwynia/agent-skills |
Prose Style: Diagnostic Skill You diagnose sentence-level craft problems in fiction. Your role is to identify why prose fails to serve the story and guide writers toward vigorous, intentional writing. Core Principle Style is not decoration; style is content. The way something is written shapes what it means. As Truman Capote observed: "I believe a story can be wrecked by a faulty rhythm in a sentence—especially if it occurs toward the end—or a mistake in paragraphing, even punctuation." Pr...
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356 |
| 10829 | parallel-agent-contracts | parcadei/continuous-claude-v3 |
Parallel Agent Type Contracts When launching parallel agents for code implementation, prevent type duplication. Required in Every Agent Prompt 1. Verification Command (MANDATORY) Before Marking Complete Run verification: \`\`\`bash npx tsc --noEmit 2>&1 | head -20 \`\`\` If ANY type errors exist, fix them before completing. 2. Grep-Before-Create Before Creating Any Type/Interface First check if it exists: \`\`\`bash grep -r "interface YourTypeName\|type YourTypeName" src/ \`\`\` If found, i...
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356 |
| 10830 | clinical-decision-support | davila7/claude-code-templates |
No SKILL.md available for this skill. View on GitHub
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| 10831 | outlines | davila7/claude-code-templates |
Outlines: Structured Text Generation When to Use This Skill Use Outlines when you need to: Guarantee valid JSON/XML/code structure during generation Use Pydantic models for type-safe outputs Support local models (Transformers, llama.cpp, vLLM) Maximize inference speed with zero-overhead structured generation Generate against JSON schemas automatically Control token sampling at the grammar level GitHub Stars: 8,000+ | From: dottxt.ai (formerly .txt) Installation Base installation pip install...
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| 10832 | morph-apply | parcadei/continuous-claude-v3 |
Morph Fast Apply Fast, AI-powered file editing using the Morph Apply API. Edit files without reading them first. Processes at 10,500 tokens/sec with 98% accuracy. When to Use Fast file edits without reading entire file first Batch edits to a file (multiple changes in one operation) When you know what to change but file is large Large files where reading would consume too many tokens Key Pattern: Code Markers Use // ... existing code ... (or language-appropriate comments) to mark where edits g...
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| 10833 | fpf:query | neolabhq/context-engineering-kit |
Query Knowledge Search the FPF knowledge base and display hypothesis details with assurance information. Action (Run-Time) Search .fpf/knowledge/ and .fpf/decisions/ by user query. For each found hypothesis , display: Basic info: title, layer (L0/L1/L2), kind, scope If layer >= L1: read audit section for R_eff If has dependencies: show dependency graph Evidence summary if exists Present results in table format. Search Locations Location Contents .fpf/knowledge/L0/ Proposed hypotheses .fpf/knowle...
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355 |
| 10834 | dx-data-navigator | pskoett/pskoett-ai-skills |
DX Data Navigator Install npx skills add pskoett/pskoett-ai-skills/dx-data-navigator Query the DX Data Cloud PostgreSQL database using the mcp__dx-mcp-server__queryData tool. Tool Usage mcp__dx-mcp-server__queryData(sql: "SELECT ...") Always query information_schema.columns first if uncertain about table/column names: SELECT column_name , data_type FROM information_schema . columns WHERE table_name = 'table_name' ORDER BY ordinal_position ; Critical: Team Tables Three team table types exist - us...
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355 |
| 10835 | tdd-migration-pipeline | parcadei/continuous-claude-v3 |
TDD Migration Pipeline Orchestrator-only workflow for migrating or rewriting codebases. You do NOT read files, write code, or validate anything yourself. You only instruct agents and pipe context (paths, not contents). When to Use Migrating codebase from one language/framework to another Rewriting a system with TDD guarantees Large-scale refactoring with behavioral contracts When you want zero context growth in the orchestrator Core Principles ZERO orchestrator execution - only instruct and pi...
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355 |
| 10836 | best-practices | skillcreatorai/ai-agent-skills |
Best practices Modern web development standards based on Lighthouse best practices audits. Covers security, browser compatibility, and code quality patterns. Security HTTPS everywhere Enforce HTTPS: <!-- ❌ Mixed content --> <img src="http://example.com/image.jpg"> <script src="http://cdn.example.com/script.js"></script> <!-- ✅ HTTPS only --> <img src="https://example.com/image.jpg"> <script src="https://cdn.example.com/script.js"></script> <!-- ✅ Protocol-relative (will use page's protocol...
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355 |
| 10837 | shape-your-agent | sanity-io/agent-context |
Shape Your Agent An optional, conversational workflow for creating a system prompt for an AI agent that uses the Sanity Agent Context MCP. This is for users who control the system prompt in their agent setup. Don't have access to the system prompt? Skip this skill entirely. The Instructions field (configured via the dial-your-context skill) is the primary lever and works on its own. A minimal system prompt like "You are a helpful agent." combined with good Instructions field content scores 80%+ ...
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| 10838 | postmark | activecampaign/postmark-skills |
Postmark Skills Postmark is a transactional email platform built for developers, with 15+ years of deliverability expertise. These skills teach AI agents how to use the Postmark API effectively. Sub-Skills Feature Skill Use When Sending emails postmark-send-email Sending transactional or broadcast emails — single, batch, bulk, or with templates Inbound processing postmark-inbound Processing incoming emails via webhooks, building reply-by-email, email-to-ticket, or document extraction Template ma...
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355 |
| 10839 | anomaly detection | aj-geddes/useful-ai-prompts |
Anomaly Detection Overview Anomaly detection identifies unusual patterns, outliers, and anomalies in data that deviate significantly from normal behavior, enabling fraud detection and system monitoring. When to Use Detecting fraudulent transactions or suspicious activity in financial data Identifying system failures, network intrusions, or security breaches Monitoring manufacturing quality and identifying defective products Finding unusual patterns in healthcare data or patient vital signs Detec...
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| 10840 | user-persona-creation | aj-geddes/useful-ai-prompts |
User Persona Creation Overview User personas synthesize research into realistic user profiles that guide design, development, and marketing decisions. When to Use Starting product design Feature prioritization Marketing messaging User research synthesis Team alignment on users Journey mapping Success metrics definition Instructions 1. Research & Data Collection Gather data for persona development class PersonaResearch: def conduct_interviews(self, target_sample_size=12): """Inter...
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| 10841 | background-job-processing | aj-geddes/useful-ai-prompts |
Background Job Processing Overview Build robust background job processing systems with distributed task queues, worker pools, job scheduling, error handling, retry policies, and monitoring for efficient asynchronous task execution. When to Use Handling long-running operations asynchronously Sending emails in background Generating reports or exports Processing large datasets Scheduling recurring tasks Distributing compute-intensive operations Instructions 1. Python with Celery and Redis celery...
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| 10842 | creative-intelligence | aj-geddes/claude-code-bmad-skills |
Creative Intelligence Role: Creative Intelligence System specialist Function: Facilitate structured brainstorming, conduct research, generate creative solutions Responsibilities Lead brainstorming sessions using proven techniques Conduct market and competitive research Generate creative solutions to complex problems Facilitate idea generation and refinement Document research findings and insights Support innovation across all BMAD phases Core Principles Structured Creativity - Use proven fram...
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355 |
| 10843 | debugging-streamlit | streamlit/streamlit |
Debugging Streamlit Apps Quick Start make debug my_app.py This starts both backend (Streamlit/Python) and frontend (Vite/React) with hot-reload. The app URL is printed on startup (default http://localhost:3001 ; 3000 is reserved for manual make frontend-dev ; it may use 3002+ if other debug sessions are running). Avoid pinning VITE_PORT unless you have a specific hard requirement (last resort). Hot-reload behavior: Frontend : Changes to frontend/ code are applied within seconds. Backend : Only c...
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| 10844 | sympy | davila7/claude-code-templates |
SymPy - Symbolic Mathematics in Python Overview SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations. This skill provides comprehensive guidance for performing symbolic algebra, calculus, linear algebra, equation solving, physics calculations, and code generation using SymPy. When to Use This Skill Use this skill when: Solving equations symbolically (algebraic, differential, systems of equations) Perform...
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355 |
| 10845 | firebase | davila7/claude-code-templates |
Firebase You're a developer who has shipped dozens of Firebase projects. You've seen the "easy" path lead to security breaches, runaway costs, and impossible migrations. You know Firebase is powerful, but you also know its sharp edges. Your hard-won lessons: The team that skipped security rules got pwned. The team that designed Firestore like SQL couldn't query their data. The team that attached listeners to large collections got a $10k bill. You've learned from all of them. You advocate for ...
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355 |
| 10846 | codebase-cleanup-deps-audit | sickn33/antigravity-awesome-skills |
Dependency Audit and Security Analysis You are a dependency security expert specializing in vulnerability scanning, license compliance, and supply chain security. Analyze project dependencies for known vulnerabilities, licensing issues, outdated packages, and provide actionable remediation strategies. Use this skill when Auditing dependencies for vulnerabilities Checking license compliance or supply-chain risks Identifying outdated packages and upgrade paths Preparing security reports or remedia...
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355 |
| 10847 | environment-triage | parcadei/continuous-claude-v3 |
Environment Triage When uv sync or pip install behaves unexpectedly, check the actual interpreter. Pattern System Python is not authoritative if uv/venv selects a different interpreter. DO What uv ACTUALLY uses uv run python --version What's pinned (this controls uv) cat .python-version Confirm package is installed uv pip show <package> Confirm import works in uv context uv run python -c "import <package>; print(<package>.__version__)" Common Fix If optional deps require Python 3.12...
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| 10848 | implement_plan_micro | parcadei/continuous-claude-v3 |
Formal Specification Multimodal Logic Integration Five modal logics via fusion with bridge principles: JL: Justification Logic - evidence-backed claims IEL: Inferential Erotetic Logic - question handling TEL: Temporal Epistemic Logic - phase sequencing SDL: Standard Deontic Logic - obligations/permissions DEL: Dynamic Epistemic Logic - action modalities Justification Logic (JL) Justification terms [h]:context(task_n) Handoff h justifies task context [v]:verified(phase_n) ...
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355 |
| 10849 | nansen-smart-money-tracker | nansen-ai/nansen-cli |
Smart Money All commands: nansen research smart-money <sub> [options] Subcommands Netflow — what tokens are smart money accumulating? nansen research smart-money netflow --chain solana --limit 10 DEX trades — real-time spot trades by smart money nansen research smart-money dex-trades --chain solana --labels "Smart Trader" --limit 20 Holdings — aggregated SM portfolio nansen research smart-money holdings --chain solana --limit 10 Perp trades — Hyperliquid only (no --chain needed) nansen resea...
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| 10850 | write-e2e-tests | tldraw/tldraw |
Writing E2E tests E2E tests use Playwright. Located in apps/examples/e2e/ (SDK examples) and apps/dotcom/client/e2e/ (tldraw.com). Test file structure apps/examples/e2e/ ├── fixtures/ │ ├── fixtures.ts Test fixtures (toolbar, menus, etc.) │ └── menus/ Page object models ├── tests/ │ └── test-*.spec.ts Test files └── shared-e2e.ts Shared utilities Name test files test-<feature>.spec.ts. Required declarations When using page.evaluate() to access the ...
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