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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 7201 | python-development-python-scaffold | sickn33/antigravity-awesome-skills |
Python Project Scaffolding You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hints, testing setup, and configuration following current best practices. Use this skill when Working on python project scaffolding tasks or workflows Needing guidance, best practices, or checklists for python project scaffolding Do not use this skill when The task is unrelate...
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282 |
| 7202 | 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...
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| 7203 | dial-your-context | sanity-io/agent-context |
Dial Your Context Help a user create the Instructions field content for their Sanity Agent Context MCP. The goal is a concise set of pure deltas — only information the agent can't figure out from the auto-generated schema. What you're building The Agent Context MCP already provides the agent with: A compressed schema of all document types and fields A GROQ query tutorial (~194 lines) Response style guidance Tool descriptions for GROQ queries, semantic search, etc. The Instructions field you're c...
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| 7204 | mcp-setup | yeachan-heo/oh-my-claudecode |
Configure Model Context Protocol (MCP) servers to extend Claude Code's capabilities with external tools like web search, file system access, and GitHub integration. Overview MCP servers provide additional tools that Claude Code agents can use. This skill helps you configure popular MCP servers using the `claude mcp add` command-line interface. Step 1: Show Available MCP Servers Present the user with available MCP server options using AskUserQuestion: Question: "Which MCP server would you ...
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| 7205 | skill-creator | tldraw/tldraw |
Skill Creator A skill for creating new skills and iteratively improving them. At a high level, the process of creating a skill goes like this: Decide what you want the skill to do and roughly how it should do it Write a draft of the skill Create a few test prompts and run claude-with-access-to-the-skill on them Help the user evaluate the results both qualitatively and quantitatively While the runs happen in the background, draft some quantitative evals if there aren't any (if there are some, you...
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| 7206 | postman-collection-generator | patricio0312rev/skills |
Postman Collection Generator Generate importable Postman collections from your API codebase automatically. Core Workflow Scan routes: Find all API route definitions in the codebase Extract metadata: Methods, paths, params, request bodies, headers Organize endpoints: Group by resource or folder structure Generate collection: Create Postman Collection v2.1 JSON Add examples: Include request/response examples Configure variables: Environment variables for base URL, auth tokens Supported Framework...
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| 7207 | beautifulsoup-parsing | mindrally/skills |
BeautifulSoup HTML Parsing You are an expert in BeautifulSoup, Python HTML/XML parsing, DOM navigation, and building efficient data extraction pipelines for web scraping. Core Expertise BeautifulSoup API and parsing methods CSS selectors and find methods DOM traversal and navigation HTML/XML parsing with different parsers Integration with requests library Handling malformed HTML gracefully Data extraction patterns and best practices Memory-efficient processing Key Principles Write concise, tec...
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| 7208 | machine-learning | mindrally/skills |
Machine Learning You are an expert in machine learning development with JAX and functional programming patterns. Core Principles Follow functional programming patterns Use immutability and pure functions Leverage JAX transformations effectively Optimize for JIT compilation JAX Fundamentals Array Operations Use jax.numpy for NumPy-compatible operations Leverage automatic differentiation with jax.grad Apply JIT compilation with jax.jit Vectorize with jax.vmap Control Flow Use jax.lax.scan for sequ...
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| 7209 | 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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| 7210 | resume-handoff | parcadei/continuous-claude-v3 |
Resume work from a handoff document You are tasked with resuming work from a handoff document through an interactive process. These handoffs contain critical context, learnings, and next steps from previous work sessions that need to be understood and continued. Initial Response When this command is invoked: If the path to a handoff document was provided: If a handoff document path was provided as a parameter, skip the default message Immediately read the handoff document FULLY Immediately ...
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| 7211 | 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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| 7212 | hook-developer | parcadei/continuous-claude-v3 |
Hook Developer Complete reference for developing Claude Code hooks. Use this to write hooks with correct input/output schemas. When to Use Creating a new hook Debugging hook input/output format Understanding what fields are available Setting up hook registration in settings.json Learning what hooks can block vs inject context Quick Reference Hook Fires When Can Block? Primary Use PreToolUse Before tool executes YES Block/modify tool calls PostToolUse After tool completes Partial React to tool ...
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| 7213 | validate-agent | parcadei/continuous-claude-v3 |
Note: The current year is 2025. When validating tech choices, check against 2024-2025 best practices. Validate Agent You are a validation agent spawned to validate a technical plan's choices against current best practices. You research external sources to verify the plan's technology decisions are sound, then write a validation handoff. What You Receive When spawned, you will receive: Plan content - The implementation plan to validate Plan path - Location of the plan file Handoff directory ...
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| 7214 | tdd | parcadei/continuous-claude-v3 |
Test-Driven Development Philosophy Core principle : Tests should verify behavior through public interfaces, not implementation details. Code can change entirely; tests shouldn't. Good tests are integration-style: they exercise real code paths through public APIs. They describe what the system does, not how it does it. A good test reads like a specification - "user can checkout with valid cart" tells you exactly what capability exists. These tests survive refactors because they don't care about i...
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| 7215 | prompt-master | nidhinjs/prompt-master |
PRIMACY ZONE — Identity, Hard Rules, Output Lock Who you are You are a prompt engineer. You take the user's rough idea, identify the target AI tool, extract their actual intent, and output a single production-ready prompt — optimized for that specific tool, with zero wasted tokens. You NEVER discuss prompting theory unless the user explicitly asks. You NEVER show framework names in your output. You build prompts. One at a time. Ready to paste. Hard rules — NEVER violate these NEVER output a prom...
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| 7216 | phantom-ai-coworker | aradotso/trending-skills |
Phantom AI Co-worker Skill by ara.so — Daily 2026 Skills collection. Phantom is an AI co-worker that runs on its own dedicated machine. Unlike chatbots, Phantom has persistent memory across sessions, creates and registers its own MCP tools at runtime, self-evolves based on observed patterns, communicates via Slack/email/Telegram/Webhook, and can build full infrastructure (databases, dashboards, APIs, pipelines) on its VM. Built on the Claude Agent SDK with TypeScript/Bun. Architecture Overview ┌...
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| 7217 | drupal-security | madsnorgaard/agent-resources |
Drupal Security Expert You proactively identify security vulnerabilities while code is being written, not after. When This Activates Writing or editing forms, controllers, or plugins Handling user input or query parameters Building database queries Rendering user-provided content Implementing access control Critical Security Patterns SQL Injection Prevention NEVER concatenate user input into queries: // VULNERABLE - SQL injection $query = "SELECT * FROM users WHERE name = '" . $name . "'"; $...
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| 7218 | 12-principles-of-animation | raphaelsalaja/userinterface-wiki |
12 Principles of Animation Disney animators codified these principles in the 1930s to make drawings feel real. We use them to make pixels feel human. The problems are surprisingly similar. When to Apply Reference these guidelines when: Adding motion to UI components Reviewing animation quality and feel Designing micro-interactions and feedback Making interfaces feel more alive and responsive Deciding what should (and shouldn't) animate Principles Overview Principle Web Application 1 Squash ...
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| 7219 | 1password | steipete/agent-scripts |
1Password CLI Follow the official CLI get-started steps. Don't guess install commands. References references/get-started.md (install + app integration + sign-in flow) references/cli-examples.md (real op examples) Workflow Check OS + shell. Verify CLI present: op --version . Confirm desktop app integration is enabled (per get-started) and the app is unlocked. REQUIRED: create a fresh tmux session for all op commands (no direct op calls outside tmux). Sign in / authorize inside tmux: op signin (ex...
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281 |
| 7220 | betting | machina-sports/sports-skills |
Betting Analysis Quick Start sports-skills betting convert_odds --odds = -150 --from_format = american sports-skills betting devig --odds = -150,+130 --format = american sports-skills betting find_edge --fair_prob = 0.58 --market_prob = 0.52 sports-skills betting evaluate_bet --book_odds = -150,+130 --market_prob = 0.52 sports-skills betting find_arbitrage --market_probs = 0.48 ,0.49 sports-skills betting parlay_analysis --legs = 0.58 ,0.62,0.55 --parlay_odds = 600 sports-skills betting line_mov...
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281 |
| 7221 | async-python-patterns | sickn33/antigravity-awesome-skills |
Async Python Patterns Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems. When to Use This Skill Building async web APIs (FastAPI, aiohttp, Sanic) Implementing concurrent I/O operations (database, file, network) Creating web scrapers with concurrent requests Developing real-time applications (WebSocket servers, chat systems) Processing multiple independent t...
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281 |
| 7222 | vlm | answerzhao/agent-skills |
This skill guides the implementation of vision chat functionality using the z-ai-web-dev-sdk package, enabling AI models to understand and respond to images combined with text prompts. Skills Path Skill Location: `{project_path}/skills/VLM` this skill is located at above path in your project. Reference Scripts: Example test scripts are available in the `{Skill Location}/scripts/` directory for quick testing and reference. See `{Skill Location}/scripts/vlm.ts` for a working example. Overvi...
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| 7223 | bicep-diagrams | eraserlabs/eraser-io |
Bicep Diagram Generator Generates architecture diagrams directly from Azure Bicep files. Bicep is a domain-specific language (DSL) for deploying Azure resources declaratively. When to Use Activate this skill when: User has Bicep files (.bicep) and wants to visualize the infrastructure User asks to "diagram my Bicep" or "visualize this Bicep infrastructure" User mentions Bicep or Azure Bicep User wants to see the architecture of their Bicep-deployed resources How It Works This skill generate...
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281 |
| 7224 | clean-code | pproenca/dot-skills |
Clean Code Skill This skill embodies the principles of "Clean Code" by Robert C. Martin (Uncle Bob). Use it to transform "code that works" into "code that is clean." 🧠 Core Philosophy "Code is clean if it can be read, and enhanced by a developer other than its original author." — Grady Booch When to Use Use this skill when: Writing new code : To ensure high quality from the start. Reviewing Pull Requests : To provide constructive, principle-based feedback. Refactoring legacy code : To identify a...
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281 |
| 7225 | literature-review | collaborative-deep-research/agent-papers-cli |
Literature Review Overview Conduct systematic, comprehensive literature reviews following rigorous academic methodology. Search multiple literature databases, synthesize findings thematically, verify all citations for accuracy, and generate professional output documents in markdown and PDF formats. This skill integrates with multiple scientific skills for database access (gget, bioservices, datacommons-client) and provides specialized tools for citation verification, result aggregation, and do...
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281 |
| 7226 | feature-dev | notedit/happy-skills |
Feature Development You are helping a developer implement a new feature. Follow a systematic approach: understand the codebase deeply, identify and ask about all underspecified details, design elegant architectures, implement, test thoroughly, then review. Announce at start: "I'm using the feature-dev skill to implement this feature." Core Principles Ask clarifying questions: Identify all ambiguities, edge cases, and underspecified behaviors. Ask specific, concrete questions rather than makin...
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| 7227 | morph-search | parcadei/continuous-claude-v3 |
Morph Codebase Search Fast, AI-powered codebase search using WarpGrep. 20x faster than traditional grep. When to Use Search codebase for patterns, function names, variables Find code across large codebases quickly Edit files programmatically Usage Search for code patterns uv run python -m runtime.harness scripts/mcp/morph_search.py \ --search "authentication" --path "." Search with regex uv run python -m runtime.harness scripts/mcp/morph_search.py \ --search "def.*login" --path "./src...
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281 |
| 7228 | 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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| 7229 | llm-tuning-patterns | parcadei/continuous-claude-v3 |
LLM Tuning Patterns Evidence-based patterns for configuring LLM parameters, based on APOLLO and Godel-Prover research. Pattern Different tasks require different LLM configurations. Use these evidence-based settings. Theorem Proving / Formal Reasoning Based on APOLLO parity analysis: Parameter Value Rationale max_tokens 4096 Proofs need space for chain-of-thought temperature 0.6 Higher creativity for tactic exploration top_p 0.95 Allow diverse proof paths Proof Plan Prompt Always request a...
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| 7230 | observe-before-editing | parcadei/continuous-claude-v3 |
Observe Before Editing Before editing code to fix a bug, confirm what the system actually produced. Pattern Outputs don't lie. Code might. Check outputs first. DO Check if expected directories exist: ls -la .claude/cache/ Check if expected files were created: ls -la .claude/cache/learnings/ Check logs for errors: tail .claude/cache/*.log Run the failing command manually to see actual error Only then edit code DON'T Assume "hook didn't run" without checking outputs Edit code based on what you...
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| 7231 | 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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281 |
| 7232 | repoprompt | parcadei/continuous-claude-v3 |
RepoPrompt Skill When to Use Explore codebase structure (tree, codemaps) Search code with context lines Get code signatures without full file content (token-efficient) Read file slices (specific line ranges) Build context for tasks Token Optimization RepoPrompt is more token-efficient than raw file reads: structure → signatures only (not full content) read --start-line --limit → slices instead of full files search --context-lines → relevant matches with context CLI Usage If installed to PATH ...
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281 |
| 7233 | search-hierarchy | parcadei/continuous-claude-v3 |
Search Tool Hierarchy Use the most token-efficient search tool for each query type. Decision Tree Query Type? ├── STRUCTURAL (code patterns) │ → AST-grep (~50 tokens output) │ Examples: "def foo", "class Bar", "import X", "@decorator" │ ├── SEMANTIC (conceptual questions) │ → LEANN (~100 tokens if path-only) │ Examples: "how does auth work", "find error handling patterns" │ ├── LITERAL (exact identifiers) │ → Grep (variable output) │ Examples: "TemporalMemory", "check_evocation", r...
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| 7234 | recall | parcadei/continuous-claude-v3 |
/recall — Search Past Claude & Codex Sessions Search all past Claude Code and Codex sessions using full-text search with BM25 ranking. Usage python3 ~/.claude/skills/recall/scripts/recall.py QUERY [ --project PATH ] [ --days N ] [ --source claude | codex ] [ --limit N ] [ --reindex ] Examples Simple keyword search python3 ~/.claude/skills/recall/scripts/recall.py "bufferStore" Phrase search (exact match) python3 ~/.claude/skills/recall/scripts/recall.py '"ACP protocol"' Boolean query python3 ...
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| 7235 | add-3d-assets | opusgamelabs/game-creator |
Add 3D Assets Replace basic geometric shapes (BoxGeometry, SphereGeometry) with real 3D models. Characters get custom Meshy AI-generated models with rigging and animation. World objects get generated or sourced from free libraries. Instructions Analyze the game at $ARGUMENTS (or the current directory if no path given). First, load the game-3d-assets skill and the meshyai skill for the full model pipeline, AssetLoader pattern, Meshy generation, and integration patterns. Step 1: Get Meshy API Key ...
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281 |
| 7236 | interactive-fiction | jwynia/agent-skills |
Interactive Fiction: Diagnostic Skill You diagnose problems in branching narratives and player-driven stories. Your role is to help writers balance meaningful player agency with coherent narrative. Core Principle Agency and authorship coexist. The tension between player freedom and narrative coherence is a false dilemma. The best interactive fiction provides meaningful choices, authored emotional payoff, and constrained agency within a designed possibility space. Interactive Fiction Types T...
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281 |
| 7237 | adr-skill | vercel/ai |
ADR Skill Philosophy ADRs created with this skill are executable specifications for coding agents . A human approves the decision; an agent implements it. The ADR must contain everything the agent needs to write correct code without asking follow-up questions. This means: Constraints must be explicit and measurable, not vibes Decisions must be specific enough to act on ("use PostgreSQL 16 with pgvector" not "use a database") Consequences must map to concrete follow-up tasks Non-goals must be sta...
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281 |
| 7238 | hyva-exec-shell-cmd | hyva-themes/hyva-ai-tools |
Execute Shell Commands in Magento Environment This utility skill detects the Magento development environment and provides the appropriate command wrapper for executing shell commands. Usage Other skills should reference this skill when they need to execute commands in the Magento environment. The detected wrapper ensures commands run in the correct context (container or local). Step 1: Detect Environment Important: Execute this script from the Magento project root directory, or provide the ...
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281 |
| 7239 | alicloud-compute-ecs | cinience/alicloud-skills |
Category: service Elastic Compute Service (ECS) Validation mkdir -p output/alicloud-compute-ecs python -m py_compile skills/compute/ecs/alicloud-compute-ecs/scripts/list_instances_all_regions.py python -m py_compile skills/compute/ecs/alicloud-compute-ecs/scripts/query_instance_usage.py python -m py_compile skills/compute/ecs/alicloud-compute-ecs/scripts/run_remote_command.py echo "py_compile_ok" > output/alicloud-compute-ecs/validate.txt Pass criteria: command exits 0 and output/alicloud-comput...
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280 |
| 7240 | redis-js | upstash/redis-js |
Upstash Redis SDK - Complete Skills Guide This directory contains comprehensive guides for using the @upstash/redis SDK. These skill files are designed to help developers and AI assistants understand and use the SDK effectively. Installation npm install @upstash/redis Quick Start Basic Initialization import { Redis } from "@upstash/redis"; // Initialize with explicit credentials const redis = new Redis({ url: "UPSTASH_REDIS_REST_URL", token: "UPSTASH_REDIS_REST_TOKEN", }); // Or initial...
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280 |
| 7241 | webhook-development | aj-geddes/useful-ai-prompts |
Webhook Development Overview Build reliable webhook systems with event delivery, signature verification, retry logic, and dead-letter handling for asynchronous integrations. When to Use Sending real-time notifications to external systems Implementing event-driven architectures Integrating with third-party platforms Building audit trails and logging systems Triggering automated workflows Delivering payment or order notifications Instructions 1. Webhook Event Schema { "id": "evt_1234567890", ...
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280 |
| 7242 | test-driven-development | davila7/claude-code-templates |
Test-Driven Development (TDD) Overview Write the test first. Watch it fail. Write minimal code to pass. Core principle: If you didn't watch the test fail, you don't know if it tests the right thing. Violating the letter of the rules is violating the spirit of the rules. When to Use Always: New features Bug fixes Refactoring Behavior changes Exceptions (ask your human partner): Throwaway prototypes Generated code Configuration files Thinking "skip TDD just this once"? Stop. That's rationalization...
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280 |
| 7243 | patents-search | yorkeccak/scientific-skills |
Patents Search Search the complete global patent database using natural language queries powered by Valyu's semantic search API. Why This Skill is Powerful No API Parameter Parsing: Just pass natural language queries directly - no need to construct complex search parameters Semantic Search: Understands the meaning of your query, not just keyword matching Full-Text Access: Returns complete patent information including claims, descriptions, and technical details Image Links: Includes patent diag...
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280 |
| 7244 | ln-621-security-auditor | levnikolaevich/claude-code-skills |
Specialized worker auditing security vulnerabilities in codebase. Purpose & Scope - Worker in ln-620 coordinator pipeline - invoked by ln-620-codebase-auditor - Audit codebase for security vulnerabilities (Category 1: Critical Priority) - Scan for hardcoded secrets, SQL injection, XSS, insecure dependencies, missing input validation - Return structured findings to coordinator with severity, location, effort, recommendations - Calculate compliance score (X/10) for Security category Input...
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| 7245 | database-migrations-sql-migrations | sickn33/antigravity-awesome-skills |
SQL Database Migration Strategy and Implementation Overview You are a SQL database migration expert specializing in zero-downtime deployments, data integrity, and production-ready migration strategies for PostgreSQL, MySQL, and SQL Server. Create comprehensive migration scripts with rollback procedures, validation checks, and performance optimization. When to Use This Skill Use when working on SQL database migration strategy and implementation tasks. Use when needing guidance, best practices, or...
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280 |
| 7246 | dark-mode-design | owl-listener/designer-skills |
Dark Mode Design You are an expert in designing dark mode interfaces that are comfortable, accessible, and polished. What You Do You design dark mode experiences that go beyond simple color inversion. Core Principles Reduce overall luminance to decrease eye strain Use surface elevation through lighter shades (not shadows) Desaturate bright colors for dark backgrounds Maintain sufficient contrast for readability Surface Hierarchy (Dark Mode) Background: darkest (e.g., 121212) Surface 1: slightly ...
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280 |
| 7247 | zod-validation-utilities | giuseppe-trisciuoglio/developer-kit |
Zod Validation Utilities Overview Production-ready Zod v4 patterns for reusable, type-safe validation with minimal boilerplate. Focuses on modern APIs, predictable error handling, and form integration. When to Use Defining request/response validation schemas in TypeScript services Parsing untrusted input from APIs, forms, env vars, or external systems Standardizing coercion, transforms, and cross-field validation Building reusable schema utilities across teams Integrating React Hook Form with Zo...
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280 |
| 7248 | ionic | mindrally/skills |
Ionic Development You are an expert in Ionic for building cross-platform mobile applications. Core Principles Write concise, technical responses with accurate Ionic examples Use feature-based organization for scalable applications Leverage Ionic's built-in components for consistent UI Follow Angular best practices for Ionic Angular projects Project Structure Feature-Based Organization src/ ├── app/ │ ├── features/ │ │ ├── auth/ │ │ ├── home/ │ │ └── settings/ │ ├── shared/ │ ...
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| 7249 | graceful-degradation | parcadei/continuous-claude-v3 |
Graceful Degradation with Helpful Messages When optional services are unavailable, degrade gracefully with actionable fallback messages. Pattern Check availability at the start, cache the result, and provide helpful messages that explain what's missing and how to fix it. DO Check service availability early (before wasting compute) Cache health check results for the session (e.g., 60s TTL) Provide actionable fallback messages: What service is missing What features are degraded How to enable t...
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280 |
| 7250 | no-polling-agents | parcadei/continuous-claude-v3 |
No Polling for Background Agents When launching parallel background agents, do NOT poll with sleep loops. Pattern Background agents write to status files when complete. Wait for them naturally. DO Launch agents with run_in_background: true Continue with other work while agents run Check status file only when user asks or when you need results to proceed Trust the agent completion system DON'T Run sleep 10 && cat status.txt in loops Continuously poll for completion Waste tokens checking statu...
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