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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 22951 | swarm orchestration | proffesor-for-testing/agentic-qe |
Swarm Orchestration Skill Purpose Multi-agent swarm coordination for complex tasks. Uses hierarchical topology with specialized agents to break down and execute complex work across multiple files and modules. When to Trigger 3+ files need changes new feature implementation cross-module refactoring API changes with tests security-related changes performance optimization across codebase database schema changes When to Skip single file edits simple bug fixes (1-2 lines) documentation updates config...
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| 22952 | environment-variables-handler | jeremylongshore/claude-code-plugins-plus-skills |
Environment Variables Handler Purpose This skill provides automated assistance for environment variables handler tasks within the DevOps Basics domain. When to Use This skill activates automatically when you: Mention "environment variables handler" in your request Ask about environment variables handler patterns or best practices Need help with foundational devops skills covering version control, containerization, basic ci/cd, and infrastructure fundamentals. Capabilities Provides step-by-st...
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| 22953 | tax strategist | eddiebe147/claude-settings |
Tax Strategist Expert tax planning agent that develops tax-efficient strategies, identifies deductions, optimizes entity structures, and ensures compliance. Specializes in small business taxation, founder/entrepreneur tax planning, and strategic tax minimization. This skill applies tax planning principles to legally minimize tax burden while ensuring compliance with tax laws. Perfect for LLC/S-Corp decisions, quarterly tax planning, deduction optimization, and year-end tax strategies. Disclaimer...
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| 22954 | quickbooks-online-api | linehaul-ai/linehaulai-claude-marketplace |
QuickBooks Online API Expert Guide Overview The QuickBooks Online API provides comprehensive access to accounting data and operations for QuickBooks Online companies. This skill enables you to build integrations that handle invoicing, payments, customer management, inventory tracking, and financial reporting. The API uses OAuth 2.0 for authentication and supports operations across all major accounting entities including customers, invoices, payments, items, accounts, and more. The QuickBooks Onl...
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| 22955 | git-ai-search | git-ai-project/git-ai |
Git AI Search Skill Search and restore AI conversation context from git history using git-ai search and git-ai continue . Overview Git AI tracks AI-generated code and the conversations that produced it. This skill helps you: Search - Find AI prompt sessions by commit, file, pattern, or author Continue - Restore AI session context to continue work where someone left off Show - View the full transcript of a specific prompt When to Use Each Command You want to... Use... See what AI context exists f...
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| 22956 | alicloud-ai-audio-cosyvoice-voice-design-test | cinience/alicloud-skills |
Category: test Minimal Viable Test Recommended check python skills/ai/audio/alicloud-ai-audio-cosyvoice-voice-design/scripts/prepare_cosyvoice_design_request.py \ --target-model cosyvoice-v3.5-plus \ --prefix announcer \ --voice-prompt "沉稳的中年男性播音员,低沉有磁性,语速平稳。" \ --preview-text "各位听众朋友,大家好。"
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| 22957 | project-analyze | catlog22/claude-code-workflow |
Project Analysis Skill Generate comprehensive project analysis reports through multi-phase iterative workflow. Architecture Overview ┌─────────────────────────────────────────────────────────────────┐ │ Context-Optimized Architecture │ ├─────────────────────────────────────────────────────────────────┤ │ │ │ Phase 1: Requirements → analysis-config.json │ │ ↓ ...
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| 22958 | debugging-with-opensrc | blogic-cz/blogic-marketplace |
Debugging with OpenSrc Overview CRITICAL: Never guess how a library works. Always verify by reading the actual source code. OpenSrc provides access to the exact version of external libraries installed in this project. Use it BEFORE making assumptions. When to Use This Skill Something doesn't work as expected Documentation is unclear or missing Need to understand library internals Debugging integration issues Before implementing patterns with external libraries When error messages are cryptic Ope...
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| 22959 | dbos-python | sickn33/antigravity-awesome-skills |
DBOS Python Best Practices Guide for building reliable, fault-tolerant Python applications with DBOS durable workflows. When to Apply Reference these guidelines when: Adding DBOS to existing Python code Creating workflows and steps Using queues for concurrency control Implementing workflow communication (events, messages, streams) Configuring and launching DBOS applications Using DBOSClient from external applications Testing DBOS applications Rule Categories by Priority Priority Category Imp...
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| 22960 | jira-expert | borghei/claude-skills |
Atlassian Jira Expert Master-level expertise in Jira configuration, project management, JQL, workflows, automation, and reporting. Handles all technical and operational aspects of Jira. Core Competencies Project Configuration Create and configure Jira projects (Scrum, Kanban, custom) Design and implement custom workflows Configure issue types, fields, and screens Set up project permissions and security schemes JQL Mastery Write advanced JQL queries for any use case Create complex filters with mu...
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| 22961 | mcp-builder | guanyang/antigravity-skills |
MCP Server Development Guide Overview Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks. Process 🚀 High-Level Workflow Creating a high-quality MCP server involves four main phases: Phase 1: Deep Research and Planning 1.1 Understand Modern MCP Design API Coverage vs. Workflow Tools: Balance comprehensive API endpoint coverag...
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| 22962 | recommend-evolution | oimiragieo/agent-studio |
Recommend Evolution Overview Recommend ecosystem evolution when repeated evidence indicates missing capability, and record the recommendation in a standard machine-readable format. When to Use Reflection identifies recurring delivery failures with the same root cause Router/analysis signals no suitable agent or skill for recurring requests Repeated integration gaps imply missing artifact type or policy User explicitly requests a new capability path Iron Laws NEVER spawn evolution-orchestrator di...
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| 22963 | blueprint-generate-rules | laurigates/claude-plugins |
Generate project-specific rules from Product Requirements Documents. When to Use This Skill Use this skill when... Use alternative when... Need to generate rules from existing PRDs Use /blueprint:rules to manually create/edit rules Want path-scoped rules for specific file types Use /blueprint:claude-md for general project instructions Automating rule creation from requirements Writing custom rules without PRD reference Extracting architecture/testing patterns from PRDs Need to create one-off rul...
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| 22964 | full-stack-master | caomeiyouren/momei |
Full Stack Master Workflow Skill 一、能力定位 (Capability) 工作流自动编排 :串联需求设计开发测试质量文档提交审核发布的全链路。 Git Worktree 编排 :根据任务维度(dev/test/fix/docs)自动选择物理隔离的工作目录,加速并行开发。 技能聚合 :集成所有核心原子技能(Todo Manager、Technical Planning、Backend Logic Expert、Vue Frontend Expert、Database Expert、Code Quality Auditor、Test Engineer、UI Validator、Conventional Committer)。 可复用与可拓展 :可合并新场景(如数据库迁移、API 变更、运营发布等),支持多项目切换。 分阶段接棒/派单 :可手动或脚本分配阶段任务给对应技能或专项 agent。 二、强制参考文档 (Mandatory Documentation) 在执行任何写操作 or 决策前,必须确保已读取并理解以下文档的最新内容: 全周期基石 : AGENT...
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| 22965 | kml-geojson-converter | dkyazzentwatwa/chatgpt-skills |
KML/GeoJSON Converter Convert geographic data between KML, GeoJSON, and other geo formats for mapping and GIS applications. Purpose Geo format conversion for: Google Maps / Earth integration Web mapping applications (Leaflet, Mapbox) GIS data interchange Spatial data processing GPS track conversion Features Bidirectional Conversion: KML ↔ GeoJSON Feature Preservation: Maintain properties, styles, descriptions Batch Processing: Convert multiple files Coordinate Systems: WGS84, UTM support Val...
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| 22966 | wechat-tech-article | samzong/samzong |
结构化地完成一篇微信公众号技术文章,从选题到定稿。遵循 `blogs/wechat` 的规范与既有文章风格。 Hard Gates (必须满足) - 风格来源(强制):写作前必须读取: `blogs/wechat/README.md`(目录/命名/发布节奏) - `skills/wechat-tech-article/references/style-guide.md`(你的固定文风与结构套路) - 目录命名:`posts/YYYY/YYYY-MM-DD-<kebab-case-english-slug>/` - 文件命名:目录名与 .md 文件名完全一致 - Slug 规则:只用英文(不用拼音)、用 `-` 分隔、尽量简短 - 引用路径:文章内引用本地文件使用相对路径 `./` - 结构硬门槛(强制): 第一行必须是 ` 标题` - 标题后 10-15 行内必须出现:入口链接(GitHub/下载/在线体验其一)+ 一句加粗 `tagline` - 文章正文只用 `` / `` 标题(禁止使用 `` 及更深层级) - 可复现优先(强制):至少 2 个可复制代...
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| 22967 | koota | pmndrs/koota |
Koota ECS Koota manages state using entities with composable traits. Glossary Entity - A unique identifier pointing to data defined by traits. Spawned from a world. Trait - A reusable data definition. Can be schema-based (SoA), callback-based (AoS), or a tag. Relation - A directional connection between entities to build graphs. World - The context for all entities and their data (traits). Archetype - A unique combination of traits that entities share. Query - Fetches entities matching an archety...
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| 22968 | habit tracker | eddiebe147/claude-settings |
Habit Tracker The Habit Tracker skill helps you design, implement, and maintain positive habits using proven behavioral science principles. Rather than relying on willpower alone, this skill applies implementation intentions, habit stacking, and environmental design to make new behaviors stick. This skill recognizes that habit formation is about systems, not motivation. It guides you through creating "tiny habits" that are easy to start, anchoring new behaviors to existing routines, and building...
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| 22969 | reasoningbank with agentdb | proffesor-for-testing/agentic-qe |
ReasoningBank with AgentDB What This Skill Does Provides ReasoningBank adaptive learning patterns using AgentDB's high-performance backend (150x-12,500x faster). Enables agents to learn from experiences, judge outcomes, distill memories, and improve decision-making over time with 100% backward compatibility. Performance : 150x faster pattern retrieval, 500x faster batch operations, <1ms memory access. Prerequisites Node.js 18+ AgentDB v1.0.7+ (via agentic-flow) Understanding of reinforcement lea...
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| 22970 | github-issues | tartinerlabs/skills |
GitHub Issues Manage GitHub issues using the @modelcontextprotocol/server-github MCP server. Available Tools MCP Tools (read operations) Tool Purpose mcp__github__issue_read Read issue details, sub-issues, comments, labels (methods: get, get_comments, get_sub_issues, get_labels) mcp__github__list_issues List and filter repository issues by state, labels, date mcp__github__search_issues Search issues across repos using GitHub search syntax mcp__github__projects_list List projects, project fields,...
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| 22971 | advanced-evaluation | guanyang/antigravity-skills |
Advanced Evaluation LLM-as-a-Judge techniques for evaluating AI outputs. Not a single technique but a family of approaches - choosing the right one and mitigating biases is the core competency. When to Activate Building automated evaluation pipelines for LLM outputs Comparing multiple model responses to select the best one Establishing consistent quality standards Debugging inconsistent evaluation results Designing A/B tests for prompt or model changes Creating rubrics for human or automated e...
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| 22972 | spec-implementation-execute | zixun-github/aisdlc |
spec-implementation-execute(I2:执行 / plan.md SSOT) 概览 I2 的目标是把 {FEATURE_DIR}/implementation/plan.md 中的任务 按批次执行 ,并把执行状态与最小审计信息 只回写到 plan.md (作为唯一执行清单与状态 SSOT)。 本技能是 skills/executing-plans/SKILL.md 的 Spec 实现阶段版: 重度复用其“五步执行 + 批次检查点 + 遇阻塞即停”骨架 ,但将“计划文件”的语义替换为实现阶段 SOP(见 design/aisdlc_spec_implementation.md )的硬约束: plan.md 是 唯一 执行清单与状态来源(checkbox + 审计信息 + 验证结果摘要) 默认每批执行 前 3 个未完成任务 任何 NEEDS CLARIFICATION / 关键计划缺陷 / 阻塞: 立即停止并汇报 (禁止脑补推进) 若执行中产生决策/契约变更: 仅在 {FEATURE_DIR} 内草拟 ,并在 plan.md 追加 Merge-back 待办清单 (本...
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| 22973 | team-quality-assurance | catlog22/claude-code-workflow |
Team Quality Assurance Orchestrate multi-agent QA: scout -> strategist -> generator -> executor -> analyst. Supports discovery, testing, and full closed-loop modes with parallel generation and GC loops. Architecture Skill(skill="team-quality-assurance", args="task description") | SKILL.md (this file) = Router | +--------------+--------------+ | | no --role flag --role <name> | | Coordinator Worker roles/coordin...
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| 22974 | infra-deploy | terrylica/cc-skills |
Infrastructure Deployment Deploy Cal.com self-hosted to GCP Cloud Run with Supabase PostgreSQL, or run locally via Docker Compose. Mandatory Preflight Step 1: Check GCP Project Configuration echo "CALCOM_GCP_PROJECT: ${CALCOM_GCP_PROJECT :- NOT_SET} " echo "CALCOM_GCP_ACCOUNT: ${CALCOM_GCP_ACCOUNT :- NOT_SET} " echo "CALCOM_GCP_REGION: ${CALCOM_GCP_REGION :- us-central1} " If NOT_SET : These must be configured in .mise.local.toml . Run the setup command. Step 2: Verify GCP Authentication gcloud ...
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| 22975 | altinity-expert-clickhouse-ingestion | altinity/skills |
Insert Performance and Ingestion Analysis Diagnose INSERT performance, batch sizing, part creation patterns, and ingestion bottlenecks. Quick Diagnostics (Run First) 1. Current Insert Activity select query_id, user, elapsed, formatReadableSize(written_bytes) as written, written_rows, formatReadableSize(memory_usage) as memory, substring(query, 1, 80) as query_preview from system.processes where query_kind = 'Insert' order by elapsed desc limit 20 2. Recent Insert P...
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| 22976 | sql injection testing | zebbern/claude-code-guide |
SQL Injection Testing Purpose Execute comprehensive SQL injection vulnerability assessments on web applications to identify database security flaws, demonstrate exploitation techniques, and validate input sanitization mechanisms. This skill enables systematic detection and exploitation of SQL injection vulnerabilities across in-band, blind, and out-of-band attack vectors to assess application security posture. Inputs / Prerequisites Required Access Target web application URL with injectable para...
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| 22977 | linux-perf | mohitmishra786/low-level-dev-skills |
Linux perf Purpose Guide agents through perf for CPU profiling: sampling, hardware counter measurement, hotspot identification, and integration with flamegraph generation. Triggers "Which function is consuming the most CPU?" "How do I measure cache misses / IPC?" "How do I use perf to find hotspots?" "How do I generate a flamegraph from perf data?" "perf shows [unknown] or [kernel] frames" Workflow 1. Prerequisites Install sudo apt install linux-perf Debian/Ubuntu (version-matched) sudo dnf in...
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| 22978 | browserbase | vm0-ai/vm0-skills |
Browserbase Cloud browser infrastructure for AI agents and automation. Create browser sessions, persist authentication with contexts, debug live sessions, and retrieve session recordings. Official docs: https://docs.browserbase.com/ When to Use Use this skill when you need to: Create cloud browser sessions for Playwright/Puppeteer automation Persist login state and cookies across sessions using Contexts Debug browser sessions in real-time with live URLs Retrieve session recordings and logs ...
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| 22979 | review-cycle | catlog22/claude-code-workflow |
Review Cycle Unified code review orchestrator with mode-based routing. Detects input type and dispatches to the appropriate execution phase. Architecture Overview ┌──────────────────────────────────────────────────────────┐ │ Review Cycle Orchestrator (SKILL.md) │ │ → Parse input → Detect mode → Read phase doc → Execute │ └───────────────────────────┬──────────────────────────────┘ │ ┌─────────────────┼─────────────────┐ ↓ ↓ ↓ ┌────────────...
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| 22980 | v3 memory unification | proffesor-for-testing/agentic-qe |
V3 Memory Unification What This Skill Does Consolidates disparate memory systems into unified AgentDB backend with HNSW vector search, achieving 150x-12,500x search performance improvements while maintaining backward compatibility. Quick Start Initialize memory unification Task ( "Memory architecture" , "Design AgentDB unification strategy" , "v3-memory-specialist" ) AgentDB integration Task ( "AgentDB setup" , "Configure HNSW indexing and vector search" , "v3-memory-specialist" ) Data migrat...
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| 22981 | github-skill-forge | yujunzhixue/github-skill-forge |
GitHub 技能锻造厂 一个"制造技能的技能"。这个工具自动化了将 GitHub 仓库转换为标准化 Trae 技能的过程。 核心功能 1. 自动化脚手架 一键克隆 GitHub 仓库 自动创建标准技能目录结构 自动生成上下文聚合文件 2. Lite-RAG 上下文聚合 自动提取项目文件树结构 自动解析 README 和文档 自动收集依赖项信息(requirements.txt, package.json, pyproject.toml) 生成单一上下文文件供 Agent 快速理解 3. 智能错误处理 代理模式自动切换 目录存在性检测 Git 克隆失败自动重试 4. 标准化输出 自动生成符合规范的技能结构 统一的目录布局(scripts/, references/, context_bundle.md) 预置 SKILL.md 模板 快速开始 安装要求 基础依赖 Python 3.7 + Git 基本使用 语法: python scripts/forge.py <URL> [SKILL_NAME] python3 .trae/skills/github-skill-forge/sc...
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| 22982 | design | johnlindquist/claude |
Design Unified design skill: brand, tokens, UI, logo, CIP, slides, banners, social photos, icons. When to Use Brand identity, voice, assets Design system tokens and specs UI styling with shadcn/ui + Tailwind Logo design and AI generation Corporate identity program (CIP) deliverables Presentations and pitch decks Banner design for social media, ads, web, print Social photos for Instagram, Facebook, LinkedIn, Twitter, Pinterest, TikTok Sub-skill Routing Show more Installs 9.2K Repository nextlevel...
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| 22983 | argocd-cluster-bootstrapping | julianobarbosa/claude-code-skills |
ArgoCD Cluster Bootstrapping Skill Complete guide for bootstrapping new Kubernetes clusters into a multi-repository GitOps environment managed by ArgoCD. When to Use This Skill Provisioning a new AKS/EKS/GKE cluster and integrating it with ArgoCD Registering an existing cluster with the ArgoCD hub Creating cluster secrets with proper labels for ApplicationSet targeting Setting up ArgoCD Projects for new business units Configuring multi-source ApplicationSets for new clusters Troubleshooting cl...
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| 22984 | memory | lidessen/skills |
Memory - Read & Access Operations Unified read-side memory skill with subcommands for searching, loading, syncing, history, and visualization. Cross-session read strategy (Opus 4.7 / CC 2.1.111+): Opus 4.7 reads filesystem memory more reliably than 4.6. When loading context at session start, prefer the layered read order: ~/.claude/projects/<slug>/memory/MEMORY.md (durable index — load first, always) .claude/chain/state.json + most recent NN-*.json handoff (session continuation) MCP mcp__memory_...
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| 22985 | obsidian | delphine-l/claude_global |
Obsidian Obsidian vault = a normal folder on disk. Vault structure (typical) Notes: *.md (plain text Markdown; edit with any editor) Config: .obsidian/ (workspace + plugin settings; usually don’t touch from scripts) Canvases: *.canvas (JSON) Attachments: whatever folder you chose in Obsidian settings (images/PDFs/etc.) Find the active vault(s) Obsidian desktop tracks vaults here (source of truth): ~/Library/Application Support/obsidian/obsidian.json obsidian-cli resolves vaults from that file; v...
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| 22986 | grant writer | eddiebe147/claude-settings |
Grant Writer Create persuasive grant proposals that secure funding for nonprofits, research projects, and community initiatives. This skill helps you craft compelling narratives, demonstrate impact, and meet funder requirements to maximize your chances of approval. Whether you're seeking foundation grants, government funding, corporate sponsorships, or research awards, this skill ensures your proposals are clear, credible, and aligned with funder priorities. It balances emotional storytelling wi...
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| 22987 | meta-assimilate | laurigates/claude-plugins |
Assimilate Command Examine the .claude/{agents,commands} of the project at path [path] and think deep if we could make use of them in the user scoped agents and commands. Either by copying and generalizing or assimilating into existing agents or commands if similar ones already exist.
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| 22988 | targeting-expert | dengineproblem/agents-monorepo |
Targeting Expert Ты - эксперт по таргетингу рекламы в Facebook/Instagram. Твои задачи Поиск интересов - найти релевантные интересы для аудитории Lookalike аудитории - создание похожих аудиторий Гео-таргетинг - страны, регионы, города Демография - возраст, пол, язык Оценка аудитории - размер и качество Поиск интересов MCP вызовы Поиск по ключевому слову interests = search_interests ( query = "cooking" , limit = 25 ) Результат: [ {"id": "123", "name": "Cooking", "audience_size": 500000000}, ...
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| 22989 | enterprise-sales | dengineproblem/agents-monorepo |
Enterprise Sales Help the user navigate enterprise sales using frameworks from 9 product leaders who have closed large enterprise deals at companies from Stripe to Superhuman. How to Help When the user asks for help with enterprise sales: Identify the stage - Determine if they're prospecting, in discovery, navigating procurement, or closing Map the buying committee - Help them identify the champion, economic buyer, and other stakeholders Address indecision - Focus on overcoming customer fear of ...
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| 22990 | depot-general | depot/skills |
Depot General — CLI, Auth, and Project Setup Depot is a build acceleration platform. This skill covers CLI installation, authentication, project configuration, and organization management. For product-specific guidance, see the depot-container-builds, depot-github-runners, or depot-ci skills. CLI Installation Security default: never execute downloaded scripts directly ( curl ... | sh ). Download, inspect, and then run. macOS (Homebrew) brew install depot/tap/depot Linux — see https://depot.dev...
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| 22991 | mimir | julianobarbosa/claude-code-skills |
Grafana Mimir Docs : https://grafana.com/docs/mimir/latest/ Horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus and OpenTelemetry metrics. Quick Start (Monolithic Mode) demo.yaml - single binary, no external dependencies target : all multitenancy_enabled : false Show more
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| 22992 | character-appeal | dylantarre/animation-principles |
Character Appeal Think like a casting director watching auditions. Appeal isn't just "cute"—it's magnetic. Characters must demand attention, invite empathy, and feel uniquely themselves. Core Mental Model Before animating any character, ask: Why would anyone want to watch this person? Appeal is the quality that makes audiences invest. It's not prettiness—villains have appeal. It's the sense that this character is worth following. Their movement reveals their soul. The 12 Principles Through ...
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| 22993 | openspec-to-beads | lucastamoios/celeiro |
You are a workflow orchestrator that transforms planning artifacts (OpenSpec) into executable work streams (Beads), maintaining traceability and discovering implementation gaps proactively. Core Philosophy OpenSpec defines WHAT to build (immutable contract). Beads tracks execution STATE (mutable reality). Your job: Bridge the gap intelligently, not mechanically. When This Skill Activates Automatic triggers: - User runs `openspec apply <change>` - User says "implement this spec", "start ...
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| 22994 | mdr-745-specialist | borghei/claude-skills |
MDR 2017/745 Specialist EU MDR compliance patterns for medical device classification, technical documentation, and clinical evidence. Table of Contents Device Classification Workflow Technical Documentation Clinical Evidence Post-Market Surveillance EUDAMED and UDI Reference Documentation Tools Device Classification Workflow Classify device under MDR Annex VIII: Identify device duration (transient, short-term, long-term) Determine invasiveness level (non-invasive, body orifice, surgical) Assess ...
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| 22995 | invoice generator | eddiebe147/claude-settings |
Invoice Generator The Invoice Generator skill automates the creation of professional, branded invoices in multiple formats (PDF, HTML, DOCX). It handles all standard invoice components including line items, tax calculations, discounts, payment terms, and company branding. Perfect for freelancers, agencies, and businesses that need to generate invoices programmatically. Create invoices from templates, automate recurring billing, generate batch invoices for multiple clients, and maintain consisten...
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| 22996 | agents-py | codestackr/livekit-skills |
LiveKit Agents Python SDK Build voice AI agents with LiveKit's Python Agents SDK. LiveKit MCP server tools This skill works alongside the LiveKit MCP server, which provides direct access to the latest LiveKit documentation, code examples, and changelogs. Use these tools when you need up-to-date information that may have changed since this skill was created. Available MCP tools: docs_search - Search the LiveKit docs site get_pages - Fetch specific documentation pages by path get_changelog - Get r...
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| 22997 | alicloud-ai-audio-asr-realtime-test | cinience/alicloud-skills |
Category: test Minimal Viable Test Goals 仅验证实时 ASR 请求模板与最小链路说明存在。 Prerequisites Target skill: skills/ai/audio/alicloud-ai-audio-asr-realtime Recommended check python skills/ai/audio/alicloud-ai-audio-asr-realtime/scripts/prepare_realtime_asr_request.py \ --output output/alicloud-ai-audio-asr-realtime/request.json
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| 22998 | temu-pricing-calculator | zhuhongyin/global-ecom-skills |
Temu V4.1 核价计算器 核心定位 这是 Loctek 跨境电商选品的核心决策工具。严格按 V4.1 生存模型公式计算净利润,判定产品是否值得上架。 核心公式 回款预估 = Temu 前台卷王价 × 45% 回款预估(人民币) = 回款预估(美元) × 汇率 总成本 = 1688 起批价 + 国内履约费(3.5元) 净利润 = 回款预估(人民币) - 总成本 【铁律】净利润必须 > ¥5.00,否则直接淘汰 默认参数 参数 默认值 说明 平台分成比例 45% Temu 平台扣除后商家实际到手比例 国内履约费 ¥3.50 固定费用 汇率(USD→CNY) 7.2 可配置 输入参数 必需参数: temu_price : Temu 前台卷王价(最低竞品价) price_currency : 价格币种("USD" 或 "CNY") ali1688_price : 1688 起批价(人民币) 可选参数: exchange_rate : 汇率,默认 7.2 fulfillment_fee : 国内履约费,默认 3.5 platform_rate : 平台分成比例,默认 0.45 输出格式 {...
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| 22999 | mesh | tkersey/dotfiles |
mesh Intent $mesh is the high-fanout batch-execution path for Codex once repeated leaf work has been shaped. It is for already-shaped leaf work, not for planning or decomposition. Use it when: the user explicitly asks for $mesh , or repeated leaf work is already clearly row-shaped the workload is row-shaped and homogeneous each row can be processed independently each row represents one substantive unit with a unique scope and acceptance target you want structured per-row results exported to CSV ...
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| 23000 | card-news-generator-v2 | bear2u/my-skills |
Card News Generator v2 - Auto Mode (V2) Creates beautiful 600x600 card news series for social media with background image support . User can provide topic, colors, and optional background images - Claude handles content generation and multi-card creation automatically. When to Use Use this skill when user requests: "카드 뉴스 만들어줘" "주제로 카드 시리즈 만들어줘" "인스타용 카드 생성해줘" Any request for visual card content Core Workflow - AUTO MODE This is the PRIMARY workflow when users request card news: Step 1: Get Topi...
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