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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 8701 | changelog | itechmeat/llm-code |
Changelog Format specification for CHANGELOG.md based on Keep a Changelog 1.1.0. Language Requirement (Mandatory) All changelog content MUST be written in English. If source information is provided in another language, translate it to English. Do not mix languages within the same changelog. Quick Reference File Header Changelog All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/), and this projec...
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| 8702 | data-quality-frameworks | sickn33/antigravity-awesome-skills |
Data Quality Frameworks Production patterns for implementing data quality with Great Expectations, dbt tests, and data contracts to ensure reliable data pipelines. When to Use This Skill Implementing data quality checks in pipelines Setting up Great Expectations validation Building comprehensive dbt test suites Establishing data contracts between teams Monitoring data quality metrics Automating data validation in CI/CD Core Concepts 1. Data Quality Dimensions Dimension Description Example Chec...
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| 8703 | analytics-events | metabase/metabase |
Frontend Analytics Events Skill This skill helps you add product analytics (Snowplow) events to track user interactions in the Metabase frontend codebase. Quick Reference Analytics events in Metabase use Snowplow with typed event schemas. All events must be defined in TypeScript types before use. Key Files: frontend/src/metabase-types/analytics/event.ts - Event type definitions frontend/src/metabase-types/analytics/schema.ts - Schema registry frontend/src/metabase/lib/analytics.ts - Core tr...
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| 8704 | s3 | itsmostafa/aws-agent-skills |
AWS S3 Amazon Simple Storage Service (S3) provides scalable object storage with industry-leading durability (99.999999999%). S3 is fundamental to AWS—used for data lakes, backups, static websites, and as storage for many other AWS services. Table of Contents Core Concepts Common Patterns CLI Reference Best Practices Troubleshooting References Core Concepts Buckets Containers for objects. Bucket names are globally unique across all AWS accounts. Objects Files stored in S3, consisting of data...
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| 8705 | memory-forensics | sickn33/antigravity-awesome-skills |
Memory Forensics Comprehensive techniques for acquiring, analyzing, and extracting artifacts from memory dumps for incident response and malware analysis. Memory Acquisition Live Acquisition Tools Windows WinPmem (Recommended) winpmem_mini_x64.exe memory.raw DumpIt DumpIt.exe Belkasoft RAM Capturer GUI-based, outputs raw format Magnet RAM Capture GUI-based, outputs raw format Linux LiME (Linux Memory Extractor) sudo insmod lime.ko "path=/tmp/memory.lime format=lime" /dev/mem (limi...
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| 8706 | c4-code | sickn33/antigravity-awesome-skills |
C4 Code Level: [Directory Name] Use this skill when Working on c4 code level: [directory name] tasks or workflows Needing guidance, best practices, or checklists for c4 code level: [directory name] Do not use this skill when The task is unrelated to c4 code level: [directory name] 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 de...
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| 8707 | mineru-extract | blessonism/openclaw-search-skills |
MinerU Extract (official API) Use MinerU as an upstream “content normalizer”: submit a URL to MinerU, poll for completion, download the result zip, and extract the main Markdown. Quick start (MCP-aligned) We align to the MinerU MCP mental model, but we do not run an MCP server. Primary script (MCP-style): scripts/mineru_parse_documents.py Input: --file-sources (comma/newline-separated) Output: JSON contract on stdout: { ok, items, errors } Low-level script (single URL): scripts/mineru_extract.py...
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| 8708 | c4-component | sickn33/antigravity-awesome-skills |
C4 Component Level: [Component Name] Use this skill when Working on c4 component level: [component name] tasks or workflows Needing guidance, best practices, or checklists for c4 component level: [component name] Do not use this skill when The task is unrelated to c4 component level: [component name] 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...
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| 8709 | story-zoom | jwynia/agent-skills |
Story-Zoom: Multi-Level Fiction Synchronization You manage consistency across abstraction levels in fiction projects. Your role is to detect when changes at one level have created inconsistencies at other levels, and help the writer decide how to resolve them. Core Principle Every story element exists at multiple abstraction levels simultaneously. Consistency across levels is what makes stories feel coherent. A character's "lie" (from character-arc) must manifest in their dialogue (scene-lev...
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| 8710 | github-cli | oldwinter/skills |
GitHub CLI Skill This skill provides comprehensive guidance for using the GitHub CLI (gh) to manage repositories, CI/CD workflows, issues, pull requests, and releases. Prerequisites gh CLI installed and authenticated Run gh auth status to verify authentication Core Operations Repository Management List repositories gh repo list [owner] --limit 50 gh repo list --source Only source repos (not forks) gh repo list --fork Only forks View repository gh re...
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| 8711 | nfl-data | machina-sports/sports-skills |
NFL Data Before writing queries, consult references/api-reference.md for endpoints, ID conventions, and data shapes. Setup Before first use, check if the CLI is available: which sports-skills || pip install sports-skills If pip install fails (package not found or Python version error), install from GitHub: pip install git+https://github.com/machina-sports/sports-skills.git The package requires Python 3.10+. If your default Python is older, use a specific version: python3 --version check version...
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| 8712 | idea-validator | shipshitdev/library |
Idea Validator - Startup Idea Assessment Framework Rigorously assess startup ideas BEFORE building using structured validation—saving months of wasted effort on ideas that won't work. Hexa's Principle: "You want to make something people want. But people don't always know what they want—so you need to understand what they actually need." When This Activates User asks "is this a good idea" User says "I want to build X" without validation User asks "should I pursue this" User mentions a startup ...
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| 8713 | ux-copy | anthropics/knowledge-work-plugins |
/ux-copy If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md . Write or review UX copy for any interface context. Usage /ux-copy $ARGUMENTS What I Need From You Context : What screen, flow, or feature? User state : What is the user trying to do? How are they feeling? Tone : Formal, friendly, playful, reassuring? Constraints : Character limits, platform guidelines? Principles Clear : Say exactly what you mean. No jargon, no ambiguity. Concise : Use the...
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| 8714 | next-cache-components | vercel/next.js |
Cache Components (Next.js 16+) Cache Components enable Partial Prerendering (PPR) - mix static, cached, and dynamic content in a single route. Enable Cache Components // next.config.ts import type { NextConfig } from 'next' const nextConfig: NextConfig = { cacheComponents: true, } export default nextConfig This replaces the old experimental.ppr flag. Three Content Types With Cache Components enabled, content falls into three categories: 1. Static (Auto-Prerendered) Synchronous code, ...
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| 8715 | ads | agricidaniel/claude-ads |
Ads — Multi-Platform Paid Advertising Audit & Optimization Comprehensive ad account analysis across all major platforms (Google, Meta, LinkedIn, TikTok, Microsoft). Orchestrates 12 specialized sub-skills and 6 subagents. Quick Reference Command What it does /ads audit Full multi-platform audit with parallel subagent delegation /ads google Google Ads deep analysis (Search, PMax, YouTube) /ads meta Meta Ads deep analysis (FB, IG, Advantage+) /ads youtube YouTube Ads specific analysis /ads linkedin...
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| 8716 | email-triage | casper-studios/casper-marketplace |
Email Triage You are an email triage system. Your job is to process a user's inbox and, for each message, make four decisions: Pre-filter — Is this an automated calendar notification that can be silently skipped? Respond? — Does the latest message require the user to personally write a reply? Important? — Does this email contribute to the user's goals, relationships, or business outcomes? Urgent? — Does this email require action soon or have a time-sensitive deadline? For emails that need a resp...
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| 8717 | mystery-novel-conventions | wordflowlab/novel-writer-skills |
悬疑推理小说创作规范 快速参考 元素 指导原则 位置 触发事件 案件/谜团发生 前 10% 误导线索 错误的引导 贯穿全文,3-5 个 真实线索 公平游戏的证据 75% 之前 真相揭露 真相揭示 85-95% 收尾 结束所有线索 最后 5% 核心原则 公平游戏原则 黄金法则:读者必须在侦探之前获得所有解决谜团所需的线索。 没有隐藏信息 所有关键线索都必须呈现给读者 侦探不能基于读者不知道的信息破案 只在结尾揭示的秘密证据违反公平游戏 逻辑推理 解决方案必须能从呈现的事实中逻辑推导 巧合可以使情况复杂化,但永远不能解决 直觉可以,但必须基于已展示的证据 不使用机械降神 不能突然出现新角色作为罪犯 不能有之前未提及的能力或工具 不能有神的干预或纯粹的运气 悬疑小说结构 第一幕:铺垫(0-25%) 建立常态世界: 介绍主角和他们的世界 展示角色能力 埋下性格怪癖的种子 案件发生: 在前 10% 发生 必须足够有趣/不寻常以证明调查的必要性 风险应该清晰 初步调查: 主角接受案件 首次访谈和证据收集 建立关键嫌疑人 第二幕:调查(25-75%) 收集线索: 呈现所...
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| 8718 | code-smell-detector | rysweet/amplihack |
Code Smell Detector Skill Purpose This skill identifies anti-patterns that violate amplihack's development philosophy and provides constructive, specific fixes. It ensures code maintains ruthless simplicity, modular design, and zero-BS implementations. When to Use This Skill Code review: Identify violations before merging Refactoring: Find opportunities to simplify and improve code quality New module creation: Catch issues early in development Philosophy compliance: Ensure code aligns with amp...
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| 8719 | sleep-story | jwynia/agent-skills |
Sleep Story: Calming Narrative Skill You help writers create stories specifically designed to accompany listeners into sleep. These are verbal lullabies disguised as narratives—occupying the mind just enough to prevent racing thoughts while naturally fading as attention wavers. Core Principle: The Gentle Cognitive Load Sleep stories occupy the mind just enough to prevent racing thoughts while naturally fading as attention wavers. The goal is not to entertain but to accompany someone into slee...
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| 8720 | performance optimizer | daffy0208/ai-dev-standards |
Performance Optimizer Make applications fast, scalable, and cost-efficient. Core Principle Measure first, optimize second. Don't guess at bottlenecks—profile, measure, then fix the slowest parts. Performance Budget Web Vitals (Target Metrics) Core Web Vitals : Largest Contentful Paint (LCP) : < 2.5s Main content visible First Input Delay (FID) : < 100ms Interaction responsiveness Cumulative Layout Shift (CLS) : < 0.1 Visual stability Additional Metrics : First Contentful Paint (FCP) : < 1.8s ...
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| 8721 | meeting-followup | casper-studios/casper-marketplace |
Meeting Follow-Up This skill turns a Fireflies meeting transcript into a structured summary and a ready-to-send Gmail draft addressed to all attendees. The goal is to close the loop on meetings fast — the user should be able to say "process my meeting with Acme" and get a polished follow-up draft in their inbox within a couple of minutes. Workflow Step 1: Find the meeting The user will reference a meeting by name, topic, or participants. Use the Fireflies search and transcript tools to locate it...
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| 8722 | slack-notifications | oimiragieo/agent-studio |
Mode: Cognitive/Prompt-Driven — No standalone utility script; use via agent context. Slack Notifications Skill Overview This skill provides Slack API operations with progressive disclosure for optimal context usage. Context Savings : ~90% reduction MCP Mode : ~15,000 tokens always loaded (30+ tools) Skill Mode : ~500 tokens metadata + on-demand loading Requirements SLACK_BOT_TOKEN environment variable (required) SLACK_SIGNING_SECRET environment variable (optional, for event verification) SLACK_A...
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| 8723 | weekly-report | yunshu0909/yunshu_skillshub |
Weekly Report Overview This skill helps you create consistent, well-structured weekly status reports that communicate progress, blockers, and plans effectively to your team, manager, or stakeholders. Use Cases: Individual contributor status updates Team lead rollup reports Project status updates Executive summaries Client progress reports How to Use Tell me what you accomplished this week Share any blockers or challenges Describe your plans for next week Specify your audience (manager, team, exe...
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| 8724 | typescript | prowler-cloud/prowler |
TypeScript Code Style Guide Types and Type Safety Avoid explicit type annotations when TypeScript can infer Avoid implicitly any ; explicitly type when necessary Use accurate types: prefer Record<PropertyKey, unknown> over object or any Prefer interface for object shapes (e.g., React props); use type for unions/intersections Prefer as const satisfies XyzInterface over plain as const Prefer @ts-expect-error over @ts-ignore over as any Avoid meaningless null/undefined parameters; design strict fun...
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| 8725 | kling-3-prompting | aedev-tools/kling-3-prompting-skill |
Overview Kling 3.0 is a unified multimodal video model. It understands cinematic direction , not keyword lists. Write prompts like a director — describe what the audience sees, hears, and feels over time. Core shift: Description → Direction. Think "direct a scene" not "describe an image." Interactive Builder Workflow When invoked, guide the user through these steps using AskUserQuestion : digraph builder { "1. Generation mode?" [ shape = diamond ] ; "Text-to-Video" [ shape = box ] ; "Image-to-Vi...
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| 8726 | shader-effects | bbeierle12/skill-mcp-claude |
Shader Effects Visual effects that add polish, style, and atmosphere to shader output. Quick Start // Combine multiple effects vec3 color = baseColor; color = applyVignette(color, uv, 0.5); color = applyGrain(color, uv, uTime, 0.1); color = applyChromaticAberration(color, uv, 0.005); Glow / Bloom Simple Glow // Distance-based glow float glow(float d, float radius, float intensity) { return pow(radius / max(d, 0.001), intensity); } // Usage float d = sdCircle(uv, 0.2); vec3 color = vec3(glo...
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| 8727 | video-ad-analysis | openclaudia/openclaudia-skills |
Video Ad Analysis Skill You are a creative strategist specializing in video ad deconstruction. Analyze video ads to extract hooks, persuasion tactics, targeting insights, and replicable patterns. Analysis Framework Dimension 1: Hooks The first 3 seconds determine if someone watches. Identify: Spoken hook: What's the first thing said? Visual hook: What's the first thing shown? Text hook: What on-screen text appears first? Hook categories: Hook Type Example When It Works Problem callout "Tired of ...
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| 8728 | mcp-cli | obra/superpowers-lab |
MCP-CLI Access MCP servers through the command line. MCP enables interaction with external systems like GitHub, filesystems, databases, and APIs. Commands Command Output mcp-cli List all servers and tool names mcp-cli <server> Show tools with parameters mcp-cli <server>/<tool> Get tool JSON schema mcp-cli <server>/<tool> '<json>' Call tool with arguments mcp-cli grep "<glob>" Search tools by name Add -d to include descriptions (e.g., mcp-cli filesystem -d) Workflow Discover: mcp-cli → see av...
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| 8729 | tax-invoice-credit-context | kazukinagata/shinkoku |
インボイス仕入税額控除コンテキスト(Input Tax Credit Context) このスキルはインボイス制度における仕入税額控除の要件・例外に関するコンテキストを提供する。 仕入税額控除の情報提供 仕入税額控除に関する回答を行う際は、 references/input-tax-credit-rules.md を読み込んで以下を実行する: 原則(適格請求書+帳簿の保存)を確認して案内する 帳簿のみ保存の恒久特例6類型(公共交通機関・自販機・郵便等)への該当を確認する 免税事業者からの仕入れに係る経過措置の控除率(80%→70%→50%→30%→0%)を案内する 課税売上割合に応じた控除方式(全額控除・個別対応方式・一括比例配分方式)を説明する 保存期間(7年間)と電子取引データ保存の要件を案内する 参照ファイル ファイル 内容 references/input-tax-credit-rules.md 仕入税額控除の原則・帳簿記載要件・恒久特例6類型・経過措置・課税売上割合と控除方式
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| 8730 | reporting-pipelines | bobmatnyc/claude-mpm-skills |
Reporting Pipelines Overview Your reporting pattern is consistent across repos: run a CLI or script that emits structured data, then export CSV/JSON/markdown reports with timestamped filenames into reports/ or tests/results/. GitFlow Analytics Pattern Basic run gitflow-analytics -c config.yaml --weeks 8 --output ./reports Explicit analyze + CSV gitflow-analytics analyze -c config.yaml --weeks 12 --output ./reports --generate-csv Outputs include CSV + markdown narrative reports with date s...
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| 8731 | docx | iofficeai/aionui |
DOCX creation, editing, and analysis Overview A .docx file is a ZIP archive containing XML files. Quick Reference Task Approach Read/analyze content pandoc or unpack for raw XML Create new document Use docx-js - see Creating New Documents below Edit existing document Unpack → edit XML → repack - see Editing Existing Documents below Converting .doc to .docx Legacy .doc files must be converted before editing: python scripts/office/soffice.py --headless --convert-to docx document.doc Reading Conten...
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| 8732 | pulumi-typescript | dirien/claude-skills |
Project structure: ``` my-project/ ├── Pulumi.yaml ├── Pulumi.dev.yaml Stack config (use ESC instead) ├── package.json ├── tsconfig.json └── index.ts ``` 2. Pulumi ESC Integration Instead of using `pulumi config set` or stack config files, use Pulumi ESC for centralized secrets and configuration. Link ESC environment to stack: ``` Create ESC environment pulumi env init myorg/myproject-dev Edit environment pulumi env edit myorg/myproject-dev Link to Pulumi stack pulumi config en...
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| 8733 | context-driven-development | sickn33/antigravity-awesome-skills |
Context-Driven Development Guide for implementing and maintaining context as a managed artifact alongside code, enabling consistent AI interactions and team alignment through structured project documentation. When to Use This Skill Setting up new projects with Conductor Understanding the relationship between context artifacts Maintaining consistency across AI-assisted development sessions Onboarding team members to an existing Conductor project Deciding when to update context documents Managing ...
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| 8734 | zustand | pproenca/dot-skills |
LobeHub Zustand State Management Action Type Hierarchy 1. Public Actions Main interfaces for UI components: Naming: Verb form ( createTopic , sendMessage ) Responsibilities: Parameter validation, flow orchestration 2. Internal Actions ( internal_* ) Core business logic implementation: Naming: internal_ prefix ( internal_createTopic ) Responsibilities: Optimistic updates, service calls, error handling Should not be called directly by UI 3. Dispatch Methods ( internal_dispatch* ) State update hand...
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| 8735 | vue | vercel-labs/json-render |
Vue Based on Vue 3.5. Always use Composition API with <template> <div>{{ title }} - {{ doubled }}</div> </template> Key Imports // Reactivity import { ref , shallowRef , computed , reactive , readonly , toRef , toRefs , toValue } from 'vue' // Watchers import { watch , watchEffect , watchPostEffect , onWatcherCleanup } from 'vue' // Lifecycle import { onMounted , onUpdated , onUnmounted , onBeforeMount , onBeforeUpdate , onBeforeUnmount } from 'vue' // Utilities import { nextTick , defineCompon...
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| 8736 | axiom-realitykit-ref | charleswiltgen/axiom |
RealityKit API Reference Complete API reference for RealityKit organized by category. When to Use This Reference Use this reference when: Looking up specific RealityKit API signatures or properties Checking which component types are available Finding the right anchor type for an AR experience Browsing material properties and options Setting up physics body parameters Looking up animation or audio API details Checking platform availability for specific APIs Part 1: Entity API Entity // Creation l...
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| 8737 | vector-index-tuning | sickn33/antigravity-awesome-skills |
Vector Index Tuning Guide to optimizing vector indexes for production performance. When to Use This Skill Tuning HNSW parameters Implementing quantization Optimizing memory usage Reducing search latency Balancing recall vs speed Scaling to billions of vectors Core Concepts 1. Index Type Selection Data Size Recommended Index ──────────────────────────────────────── < 10K vectors → Flat (exact search) 10K - 1M → HNSW 1M - 100M → HNSW + Quantization > 100M →...
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| 8738 | executive-dashboard-generator | onewave-ai/claude-skills |
Executive Dashboard Generator Turn raw data into executive-ready insights with visualizations and recommendations. Instructions You are an expert data analyst and business intelligence specialist who transforms raw data into compelling executive narratives. Your mission is to take complex datasets and distill them into clear, actionable insights that drive decision-making at the highest levels. Core Capabilities Data Input Handling: CSV files (single or multiple) Excel spreadsheets (.xlsx,...
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| 8739 | jj-workflow | trevors/dot-claude |
jj Workflow CRITICAL: Avoid Interactive Mode Always use -m flag to prevent jj from opening an editor: WRONG - opens editor, blocks AI jj new jj describe jj squash CORRECT - non-interactive jj new -m "message" jj describe -m "message" jj squash -m "message" Never use these interactive commands: jj split - inherently interactive, no non-interactive mode Mental Model No staging area. Your working directory is always a commit. Every save is tracked. @ = your current change (the working cop...
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| 8740 | amazon-bestseller-launch | breverdbidder/life-os |
Amazon 1 Bestseller Launch System Execute the proven 5-phase framework for achieving Amazon 1 Bestseller status. Success Metrics That Drive 1 Rankings Amazon's A10 algorithm ranks books based on: Metric Weight Target for 1 Sales Velocity 40% 50-200+ sales in 24-48 hours Conversion Rate 25% >15% page visitors → buyers Reviews 20% 25+ reviews in first 30 days Read-Through 10% >70% Kindle Unlimited pages read Keywords/Categories 5% Rank top 3 in 3+ categories Phase 1: Pre-Launch Foundation (T-90 to...
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| 8741 | github-automation | composiohq/awesome-claude-skills |
GitHub Automation via Rube MCP Automate GitHub repository management, issue tracking, pull request workflows, branch operations, and CI/CD through Composio's GitHub toolkit. Prerequisites Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active GitHub connection via RUBE_MANAGE_CONNECTIONS with toolkit github Always call RUBE_SEARCH_TOOLS first to get current tool schemas Setup Get Rube MCP : Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just...
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| 8742 | tooluniverse-install-skills | mims-harvard/tooluniverse |
ToolUniverse Install Skills Checks whether the ToolUniverse specialized skills are installed and installs them automatically if not. Detection Use the Shell tool to check for the canary file across all common client locations: ls .cursor/skills/tooluniverse-drug-research/SKILL.md 2 > /dev/null \ || ls .agents/skills/tooluniverse-drug-research/SKILL.md 2 > /dev/null \ || ls .windsurf/skills/tooluniverse-drug-research/SKILL.md 2 > /dev/null \ || ls .gemini/skills/tooluniverse-drug-research/SKILL.m...
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| 8743 | api-security-testing | sickn33/antigravity-awesome-skills |
API Security Testing Workflow Overview Specialized workflow for testing REST and GraphQL API security including authentication, authorization, rate limiting, input validation, and API-specific vulnerabilities. When to Use This Workflow Use this workflow when: Testing REST API security Assessing GraphQL endpoints Validating API authentication Testing API rate limiting Bug bounty API testing Workflow Phases Phase 1: API Discovery Skills to Invoke api-fuzzing-bug-bounty - API fuzzing scanning-tools...
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| 8744 | service-mesh-expert | sickn33/antigravity-awesome-skills |
Service Mesh Expert Expert service mesh architect specializing in Istio, Linkerd, and cloud-native networking patterns. Masters traffic management, security policies, observability integration, and multi-cluster mesh configurations. Use PROACTIVELY for service mesh architecture, zero-trust networking, or microservices communication patterns. Do not use this skill when The task is unrelated to service mesh expert You need a different domain or tool outside this scope Instructions Clarify goals, c...
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| 8745 | remotion-best-practices | freestylefly/canghe-skills |
When to use Use this skills whenever you are dealing with Remotion code to obtain the domain-specific knowledge. Captions When dealing with captions or subtitles, load the ./rules/subtitles.md file for more information. Using FFmpeg For some video operations, such as trimming videos or detecting silence, FFmpeg should be used. Load the ./rules/ffmpeg.md file for more information. Audio visualization When needing to visualize audio (spectrum bars, waveforms, bass-reactive effects), load the ./rul...
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| 8746 | quick-mockups | civitai/civitai |
Create multiple design mockups in parallel using the `design-mockup` agent. Usage When asked to create mockups for a feature: - Create the output directory if it doesn't exist: ``` docs/working/mockups/<feature-name>/ ``` - Launch 3-5 parallel mockup agents using the Task tool with `subagent_type: design-mockup` - Each agent creates a unique variation with different: Layout approaches (grid, list, masonry, cards) - Information hierarchy - Visual emphasis - Interaction patterns D...
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| 8747 | hft-quant-expert | kasyap1234/delta-go |
HFT Quant Expert Quantitative trading expertise for DeFi and crypto derivatives. When to Use Building trading strategies and signals Implementing risk management Calculating position sizes Backtesting strategies Analyzing volatility and correlations Workflow Step 1: Define Signal Calculate z-score or other entry signal. Step 2: Size Position Use Kelly Criterion (0.25x) for position sizing. Step 3: Validate Backtest Check for lookahead bias, survivorship bias, overfitting. Step 4: Account for Cos...
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| 8748 | triage-ci-flake | payloadcms/payload |
Triage CI Failure Overview Systematic workflow for triaging and fixing test failures in CI, especially flaky tests that pass locally but fail in CI. Tests that made it to main are usually flaky due to timing, bundling, or environment differences. CRITICAL RULE: You MUST run the reproduction workflow before proposing any fixes. No exceptions. When to Use CI test fails on main branch after PR was merged Test passes locally but fails in CI Test failure labeled as "flaky" or intermittent E2E or i...
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| 8749 | react | mindrally/skills |
React Component Writing Guide Use antd-style for complex styles; for simple cases, use inline style attribute Use Flexbox and Center from @lobehub/ui for layouts (see references/layout-kit.md ) Component priority: src/components > installed packages > @lobehub/ui > antd Use selectors to access zustand store data @lobehub/ui Components If unsure about component usage, search existing code in this project. Most components extend antd with additional props. Reference: node_modules/@lobehub/ui/es/in...
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| 8750 | memory-notes | basicmachines-co/basic-memory-skills |
Memory Notes Write well-structured notes that Basic Memory can parse into a searchable knowledge graph. Every note is a markdown file with three key sections: frontmatter, observations, and relations. Note Anatomy --- title : API Design Decisions tags : [ api , architecture , decisions ] --- API Design Decisions The API team evaluated multiple approaches for the public API during Q1. After prototyping both REST and GraphQL, the team chose REST due to broader ecosystem support and simpler cachin...
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