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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 9501 | page-decomposition | adobe/skills |
Page Decomposition Analyze content sequences within a section and provide neutral descriptions without assigning block names. When to Use This Skill This skill is called by identify-page-structure for EACH section to: Identify content sequences within that section Provide neutral descriptions (NO block names yet) Identify breaking points between sequences Enable authoring-focused decisions later IMPORTANT: This skill analyzes ONE section at a time, not the whole page. Input Required Show more
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| 9502 | synapse-a2a | s-hiraoku/synapse-a2a |
Inter-agent communication framework via Google A2A Protocol. Quick Reference | List agents (Rich TUI) | `synapse list` (event-driven refresh via file watcher with 10s fallback, ↑/↓ or 1-9 to select, Enter/j jump, k kill, / filter) | Send message | `synapse send <target> "<message>" --from <sender>` | Wait for reply | `synapse send <target> "<message>" --response --from <sender>` | Reply to last message | `synapse reply "<response>" --from <agent>` | Emergency stop | `synapse send...
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| 9503 | gmail | membranedev/application-skills |
Gmail Gmail is a free email service provided by Google. It's widely used by individuals and businesses for sending, receiving, and organizing emails. Official docs: https://developers.google.com/gmail/api Gmail Overview Email Attachment Draft Label Thread Working with Gmail This skill uses the Membrane CLI to interact with Gmail. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing. Install the CLI Install the...
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| 9504 | statistical-analysis | k-dense-ai/scientific-agent-skills |
Statistical Analysis Skill Descriptive statistics, trend analysis, outlier detection, hypothesis testing, and guidance on when to be cautious about statistical claims. Descriptive Statistics Methodology Central Tendency Choose the right measure of center based on the data: Situation Use Why Symmetric distribution, no outliers Mean Most efficient estimator Skewed distribution Median Robust to outliers Categorical or ordinal data Mode Only option for non-numeric Highly skewed with outliers (e.g., ...
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| 9505 | typescript-mcp | jezweb/claude-skills |
TypeScript MCP on Cloudflare Workers Last Updated: 2026-01-21 Versions: @modelcontextprotocol/sdk@1.25.3, hono@4.11.3, zod@4.3.5 Spec Version: 2025-11-25 Quick Start npm install @modelcontextprotocol/sdk@latest hono zod npm install -D @cloudflare/workers-types wrangler typescript Transport Recommendation: Use StreamableHTTPServerTransport for production. SSE transport is deprecated and maintained for backwards compatibility only. Streamable HTTP provides better error recovery, bidirectional ...
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| 9506 | crypto-agent-trading | crypto-com/crypto-agent-trading |
Skill: crypto-agent-trading Agent Capability Requirements This skill requires your agent platform to support the following capabilities. If your platform lacks any required capability, the skill will not function. Capability Required Details Shell command execution Yes Must be able to run npx tsx ./scripts/... and capture stdout Environment variables Yes Must read CDC_API_KEY and CDC_API_SECRET from the shell environment JSON parsing Yes Must parse structured JSON from script stdout to extract f...
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| 9507 | huggingface-tokenizers | davila7/claude-code-templates |
HuggingFace Tokenizers - Fast Tokenization for NLP Fast, production-ready tokenizers with Rust performance and Python ease-of-use. When to use HuggingFace Tokenizers Use HuggingFace Tokenizers when: Need extremely fast tokenization (<20s per GB of text) Training custom tokenizers from scratch Want alignment tracking (token → original text position) Building production NLP pipelines Need to tokenize large corpora efficiently Performance: Speed: <20 seconds to tokenize 1GB on CPU Implementat...
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| 9508 | busybox-on-windows | sickn33/antigravity-awesome-skills |
BusyBox is a single binary that implements many common Unix tools. Use this skill only on Windows. If you are on UNIX, then stop here. Run the following steps only if you cannot find a busybox.exe file in the same directory as this document is. These are PowerShell commands, if you have a classic cmd.exe terminal, then you must use powershell -Command "..." to run them. Print the type of CPU: Get-CimInstance -ClassName Win32_Processor | Select-Object Name, NumberOfCores, MaxClockSpeed Print t...
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| 9509 | review-and-simplify-changes | dimillian/skills |
Review and Simplify Changes Review changed code for reuse, quality, efficiency, and clarity issues. Use Codex sub-agents to review in parallel, but keep those sub-agents read-only: they should only inspect code and send findings back to the main agent. Only the main agent may apply high-confidence, behavior-preserving fixes. Modes Choose the mode from the user's request: review-only : user asks to review, audit, or check the changes safe-fixes : user asks to simplify, clean up, or refactor the c...
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| 9510 | pymc | k-dense-ai/scientific-agent-skills |
PyMC Bayesian Modeling Overview PyMC is a Python library for Bayesian modeling and probabilistic programming. Build, fit, validate, and compare Bayesian models using PyMC's modern API (version 5.x+), including hierarchical models, MCMC sampling (NUTS), variational inference, and model comparison (LOO, WAIC). When to Use This Skill This skill should be used when: Building Bayesian models (linear/logistic regression, hierarchical models, time series, etc.) Performing MCMC sampling or variational i...
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| 9511 | k6 | grafana/skills |
k6 Performance Testing Docs : https://grafana.com/docs/k6/latest/ Quick Start Install brew install k6 macOS sudo apt install k6 Ubuntu/Debian choco install k6 Windows Run a test k6 run script.js k6 run --vus 10 --duration 30s script.js k6 run --out json = results.json script.js Basic Script Structure Show more
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| 9512 | create-site | adobe/skills |
Create a New AEM Edge Delivery Site This skill walks through the full onboarding flow for a new AEM Edge Delivery site. It handles everything that can be automated and clearly signals the steps that require human action. When to Use This Skill Use this skill when: A user wants to create a brand-new AEM Edge Delivery site from scratch A user asks to "set up a new site", "create a new EDS project", or "onboard a new site" No GitHub repository or DA content exists yet for the project Do NOT use thi...
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| 9513 | xlsx | bobmatnyc/claude-mpm-skills |
Requirements for Outputs All Excel files Professional Font Use a consistent, professional font (e.g., Arial, Times New Roman) for all deliverables unless otherwise instructed by the user Zero Formula Errors Every Excel model MUST be delivered with ZERO formula errors (REF!, DIV/0!, VALUE!, N/A, NAME?) Preserve Existing Templates (when updating templates) Study and EXACTLY match existing format, style, and conventions when modifying files Never impose standardized formatting on files with establi...
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| 9514 | task | camacho/ai-skills |
/task Surface Routing Before starting, pick the right tool for the job: Activity Tool Why Architecture planning Claude Code /plan Opus, 1M context Feature implementation Claude Code Hooks, subagents, worktrees Quick single-file fix VS Code Claude ext Faster for small scope DevOps / terminal Codex CLI Strong at terminal tasks Background refactor Codex Cloud Fire-and-forget PR Code review GitHub Actions Async, no session cost Test writing subagent: test-writer (CC) / inline (Codex) Isolated contex...
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| 9515 | gap-analysis | aj-geddes/useful-ai-prompts |
Gap Analysis Overview Gap analysis systematically compares current capabilities with desired future state, revealing what needs to change and what investments are required. When to Use Strategic planning and goal setting Technology modernization assessment Process improvement initiatives Skills and training planning System evaluation and selection Organizational change planning Capability building programs Instructions 1. Gap Identification Framework Systematic gap identification class GapAn...
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| 9516 | llm | mindrally/skills |
LLM Development You are an expert in Large Language Model development, training, and fine-tuning. Core Principles Understand transformer architectures deeply Implement efficient training strategies Apply proper evaluation methodologies Optimize for inference performance Model Architecture Attention Mechanisms Implement self-attention correctly Use multi-head attention patterns Apply positional encodings appropriately Understand context length limitations Tokenization Choose appropriate tokeniz...
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| 9517 | nodejs-development | mindrally/skills |
Node.js Development Guidelines You are an expert in Node.js development with TypeScript, covering various frameworks and patterns. Payload CMS with Next.js Project Setup project/ ├── src/ │ ├── app/ Next.js app directory │ ├── collections/ Payload collections │ ├── blocks/ Custom blocks │ ├── fields/ Custom fields │ └── access/ Access control functions ├── payload.config.ts Payload configuration └── next.config.js Next.js con...
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| 9518 | backward-traceability | lingzhi227/agent-research-skills |
Backward Traceability Make every number in the final PDF hyperlink back to the exact code line that produced it. Input $0 — Paper project directory containing code and LaTeX files References Traceability patterns and LaTeX commands: ~/.claude/skills/backward-traceability/references/traceability-patterns.md Scripts Scan hypertarget/hyperlink references python ~/.claude/skills/backward-traceability/scripts/ref_numeric_values.py \ --scan paper/main.tex --output report.json Show more
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| 9519 | getting started with skills | obra/superpowers-skills |
Getting Started with Skills Critical Rules Use Read tool before announcing skill usage. The session-start hook does NOT read skills for you. Announcing without calling Read = lying. Follow mandatory workflows. Brainstorming before coding. Check for skills before ANY task. Create TodoWrite todos for checklists. Mental tracking = steps get skipped. Every time. Mandatory Workflow: Before ANY Task 1. Check skills list at session start, or run find-skills [PATTERN] to filter. 2. If relevant skill exi...
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| 9520 | fda-consultant-specialist | davila7/claude-code-templates |
FDA Consultant Specialist FDA regulatory consulting for medical device manufacturers covering submission pathways, Quality System Regulation (QSR), HIPAA compliance, and device cybersecurity requirements. Table of Contents FDA Pathway Selection 510(k) Submission Process QSR Compliance HIPAA for Medical Devices Device Cybersecurity Resources FDA Pathway Selection Determine the appropriate FDA regulatory pathway based on device classification and predicate availability. Decision Framework Predicat...
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| 9521 | symfony:tdd-with-phpunit | makfly/superpowers-symfony |
$ npx skills add https://github.com/makfly/superpowers-symfony --skill symfony:tdd-with-phpunit<div
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| 9522 | codex-oauth-automation-extension | aradotso/trending-skills |
Codex OAuth Automation Extension Skill by ara.so — Daily 2026 Skills collection. A Chrome extension that automates the full OpenAI OAuth registration/login flow including email verification, CPA callback handling, and multi-round batch execution. Supports DuckDuckGo, QQ Mail, 163 Mail, and Inbucket as verification code sources. Installation Clone the repository: git clone https://github.com/QLHazyCoder/codex-oauth-automation-extension.git cd codex-oauth-automation-extension Load in Chrome: Navig...
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| 9523 | puremac-macos-cleaner | aradotso/trending-skills |
PureMac macOS Cleaner Skill by ara.so — Daily 2026 Skills collection. PureMac is a free, native SwiftUI macOS application that cleans system junk, user caches, Xcode derived data, Homebrew caches, mail attachments, and purgeable APFS space. It is a privacy-respecting, open-source alternative to CleanMyMac X with no telemetry, no subscriptions, and no network calls. Install Homebrew (recommended) brew tap momenbasel/tap brew install --cask puremac Direct Download Download the latest .app from Rel...
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| 9524 | ml model training | aj-geddes/useful-ai-prompts |
ML Model Training Training machine learning models involves selecting appropriate algorithms, preparing data, and optimizing model parameters to achieve strong predictive performance. Training Phases Data Preparation : Cleaning, encoding, normalization Feature Engineering : Creating meaningful features Model Selection : Choosing appropriate algorithms Hyperparameter Tuning : Optimizing model settings Validation : Cross-validation and evaluation metrics Deployment : Preparing models for productio...
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| 9525 | circuit-breaker-pattern | aj-geddes/useful-ai-prompts |
Circuit Breaker Pattern Overview Implement circuit breaker patterns to prevent cascading failures and provide graceful degradation when dependencies fail. When to Use External API calls Microservices communication Database connections Third-party service integrations Preventing cascading failures Implementing fallback mechanisms Rate limiting protection Timeout handling Circuit States ┌──────────┐ │ CLOSED │ ◀─── Normal operation └────┬─────┘ │ Failures exceed threshold ▼ ┌────────...
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| 9526 | cloud-security-configuration | aj-geddes/useful-ai-prompts |
Cloud Security Configuration Overview Cloud security requires comprehensive strategies spanning identity management, encryption, network controls, compliance, and threat detection. Implement defense-in-depth with multiple layers of protection and continuous monitoring. When to Use Protecting sensitive data in cloud Compliance with regulations (GDPR, HIPAA, PCI-DSS) Implementing zero-trust security Securing multi-cloud environments Threat detection and response Identity and access management Ne...
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| 9527 | serverless-architecture | aj-geddes/useful-ai-prompts |
Serverless Architecture Overview Serverless architecture enables building complete applications without managing servers. Design event-driven, scalable systems using managed compute services, databases, and messaging systems. Pay only for actual usage with automatic scaling. When to Use Event-driven applications API backends and microservices Real-time data processing Batch jobs and scheduled tasks Workflow automation IoT data pipelines Multi-tenant SaaS applications Mobile app backends Implem...
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| 9528 | webapp-testing | davila7/claude-code-templates |
Web Application Testing To test local web applications, write native Python Playwright scripts. Helper Scripts Available : scripts/with_server.py - Manages server lifecycle (supports multiple servers) Always run scripts with --help first to see usage. DO NOT read the source until you try running the script first and find that a customized solution is abslutely necessary. These scripts can be very large and thus pollute your context window. They exist to be called directly as black-box scripts ra...
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| 9529 | design-md | sickn33/antigravity-awesome-skills |
Stitch DESIGN.md Skill You are an expert Design Systems Lead. Your goal is to analyze the provided technical assets and synthesize a "Semantic Design System" into a file named DESIGN.md . Overview This skill helps you create DESIGN.md files that serve as the "source of truth" for prompting Stitch to generate new screens that align perfectly with existing design language. Stitch interprets design through "Visual Descriptions" supported by specific color values. Prerequisites Access to the Stitch ...
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| 9530 | interactive-portfolio | davila7/claude-code-templates |
Interactive Portfolio Role: Portfolio Experience Designer You know a portfolio isn't a resume - it's a first impression that needs to convert. You balance creativity with usability. You understand that hiring managers spend 30 seconds on each portfolio. You make those 30 seconds count. You help people stand out without being gimmicky. Capabilities Portfolio architecture Project showcase design Interactive case studies Personal branding for devs/designers Contact conversion Portfolio performan...
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| 9531 | performance-profiling | davila7/claude-code-templates |
Performance Profiling Measure, analyze, optimize - in that order. 🔧 Runtime Scripts Execute these for automated profiling: Script Purpose Usage scripts/lighthouse_audit.py Lighthouse performance audit python scripts/lighthouse_audit.py https://example.com 1. Core Web Vitals Targets Metric Good Poor Measures LCP < 2.5s > 4.0s Loading INP < 200ms > 500ms Interactivity CLS < 0.1 > 0.25 Stability When to Measure Stage Tool Development Local Lighthouse CI/CD Lighthouse CI Production RUM (Real Use...
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| 9532 | ln-730-devops-setup | levnikolaevich/claude-code-skills |
Type: L2 Domain Coordinator Category: 7XX Project Bootstrap Parent: ln-700-project-bootstrap Coordinates DevOps infrastructure setup by delegating to specialized workers. Purpose & Scope Orchestrates the complete DevOps setup for a project: - Does: Auto-detect stack, delegate to workers, verify configuration - Does NOT: Generate files directly (delegates to ln-731, ln-732, ln-733) Overview | Input | Project directory with source code | Output | Docker, CI/CD, environment configurati...
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| 9533 | cms-collection-setup | webflow/webflow-skills |
CMS Collection Setup Create a new CMS collection with custom fields, relationships, and proper configuration. Important Note ALWAYS use Webflow MCP tools for all operations: Use Webflow MCP's webflow_guide_tool to get best practices before starting Use Webflow MCP's data_sites_tool with action list_sites to identify available sites Use Webflow MCP's data_sites_tool with action get_site to retrieve site details and plan limits Use Webflow MCP's data_cms_tool with action get_collection_list to...
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| 9534 | cloudflare-durable-objects | jezweb/claude-skills |
Cloudflare Durable Objects Status: Production Ready ✅ Last Updated: 2026-01-21 Dependencies: cloudflare-worker-base (recommended) Latest Versions: wrangler@4.58.0, @cloudflare/workers-types@4.20260109.0 Official Docs: https://developers.cloudflare.com/durable-objects/ Recent Updates (2025): Oct 2025: WebSocket message size 1 MiB → 32 MiB, Data Studio UI for SQLite DOs (view/edit storage in dashboard) Aug 2025: getByName() API shortcut for named DOs June 2025: @cloudflare/actors library (beta)...
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| 9535 | security | cognitedata/dune-skills |
Security Architecture Diagram Generator Quick Start: Define trust boundaries → Place identity/encryption/firewall icons → Connect with access flows → Group into security zones → Wrap in ```plantuml fence. ⚠️ IMPORTANT: Always use ```plantuml or ```puml code fence. NEVER use ```text — it will NOT render as a diagram. Critical Rules Every diagram starts with @startuml and ends with @enduml Use left to right direction for access flows (User → AuthN → AuthZ → Resource) Use mxgraph.aws4.* stencil syn...
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| 9536 | performance | cognitedata/dune-skills |
Performance optimization Deep performance optimization based on Lighthouse performance audits. Focuses on loading speed, runtime efficiency, and resource optimization. How it works Identify performance bottlenecks in code and assets Prioritize by impact on Core Web Vitals Provide specific optimizations with code examples Measure improvement with before/after metrics Performance budget Resource Budget Rationale Total page weight < 1.5 MB 3G loads in ~4s JavaScript (compressed) < 300 KB Parsing ...
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| 9537 | integrate-atlas-chat | cognitedata/dune-skills |
Integrate Atlas Agent Chat Add a streaming Atlas Agent chat UI to this Dune app. Agent external ID: $ARGUMENTS Your job Complete these steps in order. Read each file before modifying it. Step 1 — Understand the app Read these files before touching anything: package.json — detect package manager ( packageManager field or lock file) and existing deps src/App.tsx (or equivalent entry component) — understand current structure Step 2 — Install dependencies Install the package and its required peer de...
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| 9538 | dune-app-review | cognitedata/dune-skills |
Dune App Review Fetch the official review command and follow it exactly: gh api repos/cognitedata/dune-app-reviews/contents/.claude/commands/dune-review.md \ --jq '.content' | base64 -d Adapt it for a local developer review : Treat the current workspace as the app under review. Skip all ticket, PR, overview, submodule, and reviews/<TICKET-ID>/... setup steps. If the upstream command asks for Jira ticket or PR input, ignore that requirement and continue with the local codebase. Use reviews/dune-a...
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| 9539 | integrate-todo-list | cognitedata/dune-skills |
Integrate Todo List Add a structured task-tracking feature to this Dune app. The agent will use a TodoWrite tool to create and update a task list as it works through multi-step queries, giving the user real-time visibility into what the agent is doing and why. Prerequisite: integrate-atlas-chat must already be set up — useAtlasChat must be wired and @cognite/dune-industrial-components , @sinclair/typebox , ajv , ajv-formats must be installed. Step 1 — Read the app Before writing anything, read: ...
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| 9540 | hive | rllm-org/hive |
Hive Experiment Loop You are an agent in a collaborative swarm. Multiple agents work on the same task. Results flow through the shared hive server. The goal is to improve the global best , not your local best. Read program.md for task-specific constraints (what to modify, metric, rules). Know Your Mode Check .hive/fork.json → mode field: fork (public tasks): You have your own repo copy. Any branch name works. branch (private tasks): You share a repo with other agents. Your branch must start with...
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| 9541 | skill-security-auditor | alirezarezvani/claude-skills |
Skill Security Auditor Scan and audit AI agent skills for security risks before installation. Produces a clear PASS / WARN / FAIL verdict with findings and remediation guidance. Quick Start Audit a local skill directory python3 scripts/skill_security_auditor.py /path/to/skill-name/ Audit a skill from a git repo python3 scripts/skill_security_auditor.py https://github.com/user/repo --skill skill-name Audit with strict mode (any WARN becomes FAIL) python3 scripts/skill_security_auditor.py /path...
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| 9542 | hypogenic | k-dense-ai/scientific-agent-skills |
Hypogenic Overview Hypogenic provides automated hypothesis generation and testing using large language models to accelerate scientific discovery. The framework supports three approaches: HypoGeniC (data-driven hypothesis generation), HypoRefine (synergistic literature and data integration), and Union methods (mechanistic combination of literature and data-driven hypotheses). Quick Start Get started with Hypogenic in minutes: Install the package uv pip install hypogenic Clone example datasets g...
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| 9543 | ln-140-test-docs-creator | levnikolaevich/claude-code-skills |
This skill creates and validates test documentation: testing-strategy.md (universal testing philosophy) + tests/README.md (test organization structure and Story-Level Test Task Pattern). When to Use This Skill This skill is a L2 WORKER invoked by ln-100-documents-pipeline orchestrator. This skill should be used directly when: - Creating only test documentation (testing-strategy.md + tests/README.md) - Validating existing test documentation structure and content - Setting up test philosoph...
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| 9544 | ln-631-test-business-logic-auditor | levnikolaevich/claude-code-skills |
Specialized worker auditing tests for Business Logic Focus (Category 1). Purpose & Scope - Worker in ln-630 coordinator pipeline - Audit Business Logic Focus (Category 1: High Priority) - Detect tests validating framework/library behavior (NOT our code) - Calculate compliance score (X/10) Inputs (from Coordinator) Receives `contextStore` with framework detection patterns, tech stack, test file list. Workflow - Parse context - Scan test files for framework/library tests - Collect fi...
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| 9545 | video-lens | kar2phi/video-lens |
You are a YouTube content analyst. Given a YouTube URL, you will extract the video transcript and produce a structured summary in the video's original language. When to Activate Trigger this skill when the user: Shares a YouTube URL (youtube.com/watch, youtu.be, youtube.com/embed, youtube.com/live) or a bare 11-character video ID — even without explanation Asks to summarise, digest, or analyse a video Uses phrases like "what's this video about", "give me the highlights", "TL;DR this", "make note...
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| 9546 | algorithmic-trading | omer-metin/skills-for-antigravity |
No SKILL.md available for this skill. View on GitHub
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| 9547 | optimization-advisor-sms | blacktwist/social-media-skills |
Optimization Advisor When to Use User asks what to do next or how to improve their social media performance User mentions "optimize my social media," "recommendations," or "suggestions" User says "next steps," "what's my biggest opportunity," or "help me grow" User wants a prioritized action plan based on their data User asks "how do I improve" or wants concrete improvement recommendations User has completed an analysis and wants actionable takeaways Role You are an expert social media optimizat...
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| 9548 | go-api-development | mindrally/skills |
Go API Development with Standard Library Core Principles Always use the latest stable version of Go (1.22 or newer) and be familiar with RESTful API design principles, net/http package, and the new ServeMux introduced in Go 1.22 Follow the user's requirements carefully and to the letter First think step-by-step - describe your plan for the API structure, endpoints, and data flow in pseudocode, written out in great detail Write correct, up-to-date, bug-free, fully functional, secure, and efficien...
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| 9549 | capture-screen | daymade/claude-code-skills |
Capture Screen Programmatic screenshot capture on macOS: find windows, control views, capture images. Quick Start Find Excel window ID swift scripts/get_window_id.swift Excel Capture that window (replace 12345 with actual WID) screencapture -x -l 12345 output.png Overview Three-step workflow: 1. Find Window → Swift CGWindowListCopyWindowInfo → get numeric Window ID 2. Control View → AppleScript (osascript) → zoom, scroll, select 3. Capture → screencapture -l <WID> ...
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| 9550 | uptime-monitoring | aj-geddes/useful-ai-prompts |
Uptime Monitoring Overview Set up comprehensive uptime monitoring with health checks, status pages, and incident tracking to ensure visibility into service availability. When to Use Service availability tracking Health check implementation Status page creation Incident management SLA monitoring Instructions 1. Health Check Endpoints // Node.js health check const express = require('express'); const app = express(); app.get('/health', (req, res) => { res.json({ status: 'ok', timestamp...
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