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24,506
总 Skills
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# Skill 仓库 描述 安装量
8751 contract-and-proposal-writer alirezarezvani/claude-skills
Contract & Proposal Writer Tier: POWERFUL Category: Business Growth Domain: Legal Documents, Business Development, Client Relations Overview Generate professional, jurisdiction-aware business documents: freelance contracts, project proposals, SOWs, NDAs, and MSAs. Outputs structured Markdown with docx conversion instructions. Covers US (Delaware), EU (GDPR), UK, and DACH (German law) jurisdictions. Not a substitute for legal counsel. Use these templates as strong starting points; review with an ...
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8752 tiktok-automation sickn33/antigravity-awesome-skills
TikTok Automation via Rube MCP Automate TikTok content creation and profile operations through Composio's TikTok toolkit via Rube MCP. Prerequisites Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active TikTok connection via RUBE_MANAGE_CONNECTIONS with toolkit tiktok 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 add the endpoint and it works. Verify ...
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8753 remotion-best-practices sickn33/antigravity-awesome-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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8754 google-sheets vm0-ai/vm0-skills
Google Sheets API Use the Google Sheets API via direct curl calls to read, write, and manage spreadsheet data . Official docs: https://developers.google.com/sheets/api When to Use Use this skill when you need to: Read data from Google Sheets Write or update cell values Append rows to existing sheets Create new spreadsheets Get spreadsheet metadata (sheet names, properties) Batch update multiple ranges at once Prerequisites Go to vm0.ai Settings → Connectors and connect Google Sheets . vm0 will a...
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8755 numpy-best-practices mindrally/skills
NumPy Best Practices Expert guidelines for NumPy development, focusing on array programming, numerical computing, and performance optimization. Code Style and Structure Write concise, technical Python code with accurate NumPy examples Prefer vectorized operations over explicit loops for performance Use descriptive variable names reflecting data content (e.g., weights, gradients, input_array) Follow PEP 8 style guidelines for Python code Use functional programming patterns when appropriate Arra...
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8756 stock-quote octagonai/skills
Stock Quote Retrieve real-time stock quotes with current price, volume, day range, 52-week range, market cap, and moving averages using the Octagon MCP server. Prerequisites Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See references/mcp-setup.md for installation instructions. Workflow 1. Identify the Stock Determine the ticker symbol for the stock you want to quote (e.g., AAPL, MSFT, GOOGL). 2. Execute Query via Octagon MCP Use the octagon-agent to...
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8757 local-action-verification google-labs-code/jules-skills
Local Action Verification with act You are setting up a repository so that Jules (or any agent) can run GitHub Actions workflows locally using act to verify code changes pass CI before pushing. What You're Setting Up Two scripts and an agents.md section that enable local CI verification: install-act.sh — Installs act if missing (platform-aware, sudo fallback) run-act.sh — Runs act in the background with log polling to avoid agent timeouts AGENTS.md section — Instructions Jules reads to know how ...
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8758 nba-data machina-sports/sports-skills
NBA 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 with a Python version error, the package requires Python 3.10+. Find a compatible Python: python3 --version check version If < 3.10, try: python3.12 -m pip install sports-skills On macOS with Homebrew: /opt/homebrew/bin/python3.12 -m pip install sports-sk...
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8759 cause-and-effect neolabhq/context-engineering-kit
Cause and Effect Analysis Apply Fishbone (Ishikawa) diagram analysis to systematically explore all potential causes of a problem across multiple categories. Description Systematically examine potential causes across six categories: People, Process, Technology, Environment, Methods, and Materials. Creates structured "fishbone" view identifying contributing factors. Usage /cause-and-effect [problem_description] Variables PROBLEM: Issue to analyze (default: prompt for input) CATEGORIES: Categories ...
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8760 market-top-detector tradermonty/claude-trading-skills
Market Top Detector Skill Purpose Detect the probability of a market top formation using a quantitative 6-component scoring system (0-100). Integrates three proven market top detection methodologies: O'Neil - Distribution Day accumulation (institutional selling) Minervini - Leading stock deterioration pattern Monty - Defensive sector rotation signal Unlike the Bubble Detector (macro/multi-month evaluation), this skill focuses on tactical 2-8 week timing signals that precede 10-20% market correct...
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8761 content-strategy alirezarezvani/claude-skills
Content Strategy You are a content strategist. Your goal is to help plan content that drives traffic, builds authority, and generates leads by being either searchable, shareable, or both. Before Planning 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 asking questions. Use that context and only ask for information not already covered or specific to this task. Gather this context (a...
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8762 longbridge-quote longbridge/skills
longbridge-quote Real-time quote, static info, and valuation indices for Longbridge-supported securities (HK / US / A-share / Singapore). Response language : match the user's input language — Simplified Chinese / Traditional Chinese / English. When to use Trigger on prompts asking about: Current price / change / volume — "NVDA 现在多少钱" , "現在股價" , "What's NVDA's price?" Industry / market cap / floats / EPS / BPS — "贵州茅台市值多少" , "茅台屬於什麼行業" , "AAPL EPS" Valuation indices (PE, PB, turnover rate, 5/10-d...
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8763 authjs-skills gocallum/nextjs16-agent-skills
Links Getting Started: https://authjs.dev/getting-started/installation?framework=Next.js Migrating to v5: https://authjs.dev/getting-started/migrating-to-v5 Google Provider: https://authjs.dev/getting-started/providers/google Credentials Provider: https://authjs.dev/getting-started/providers/credentials Core API Reference: https://authjs.dev/reference/core Session Management: https://authjs.dev/getting-started/session-management Concepts: https://authjs.dev/concepts Installation pnpm add next-au...
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8764 react-refactor pproenca/dot-skills
React Refactor Best Practices Architectural refactoring guide for React applications. Contains 40 rules across 7 categories, prioritized by impact from critical (component and state architecture) to incremental (refactoring safety). When to Apply Refactoring existing React codebases or planning large-scale restructuring Reviewing PRs for architectural issues and code smells Decomposing oversized components into focused units Extracting reusable hooks from component logic Improving testability of...
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8765 huashu-proofreading alchaincyf/huashu-skills
AI味审校 系统化降低文章AI检测率，增加人味的三遍审校专业能力。 何时使用此Skill 当检测到以下场景时，自动加载此skill： 用户说"审校一下"、"降低AI味"、"太AI了" 初稿创作完成后 用户提到"AI检测率高"、"没人味" 文章需要最终polish 核心目标 降低AI检测率 ：目标控制在30%以下 增加人味 ：让文章有经验感、有温度、像真人在说话 保持花生风格 ：实践导向、技术深度、易懂表达、有用可落地 三遍审校流程 Show more
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8766 loki-mode sickn33/antigravity-awesome-skills
Loki Mode - Multi-Agent Autonomous Startup System Version 2.35.0 | PRD to Production | Zero Human Intervention Research-enhanced: OpenAI SDK, DeepMind, Anthropic, AWS Bedrock, Agent SDK, HN Production (2025) Quick Reference Critical First Steps (Every Turn) READ .loki/CONTINUITY.md - Your working memory + "Mistakes & Learnings" RETRIEVE Relevant memories from .loki/memory/ (episodic patterns, anti-patterns) CHECK .loki/state/orchestrator.json - Current phase/metrics REVIEW .loki/queue/pending....
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8767 react-hook-form-zod ovachiever/droid-tings
React Hook Form + Zod Validation Status: Production Ready ✅ Last Verified: 2026-01-20 Latest Versions: react-hook-form@7.71.1, zod@4.3.5, @hookform/resolvers@5.2.2 Quick Start npm install react-hook-form@7.70.0 zod@4.3.5 @hookform/resolvers@5.2.2 Basic Form Pattern: const schema = z.object({ email: z.string().email(), password: z.string().min(8), }) type FormData = z.infer<typeof schema> const { register, handleSubmit, formState: { errors } } = useForm<FormData>({ resolver: zodResol...
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8768 market-research-analysis manojbajaj95/claude-gtm-plugin
Market Research & Analysis Expert market research skill — from market sizing and competitive analysis through consumer research and professional consulting-grade reports with LaTeX formatting and visual generation. Quick Start Choose your workflow: Market Sizing — TAM/SAM/SOM calculations Competitive Analysis — Landscape mapping and positioning Consumer Research — Surveys, interviews, behavior analysis Professional Report — 50+ page consulting-style report with LaTeX + visuals Market Sizing (TAM...
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8769 torchdrug k-dense-ai/scientific-agent-skills
TorchDrug Overview TorchDrug is a comprehensive PyTorch-based machine learning toolbox for drug discovery and molecular science. Apply graph neural networks, pre-trained models, and task definitions to molecules, proteins, and biological knowledge graphs, including molecular property prediction, protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis planning, with 40+ curated datasets and 20+ model architectures. When to Use This Skill This skill should be used when wo...
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8770 scanpy k-dense-ai/scientific-agent-skills
Scanpy: Single-Cell Analysis Overview Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis. When to Use This Skill This skill should be used when: Analyzing single-cell RNA-seq data (.h5ad, 10X, CSV formats) Performing quality control on scRNA-seq datasets Cre...
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8771 pufferlib k-dense-ai/scientific-agent-skills
PufferLib - High-Performance Reinforcement Learning Overview PufferLib is a high-performance reinforcement learning library designed for fast parallel environment simulation and training. It achieves training at millions of steps per second through optimized vectorization, native multi-agent support, and efficient PPO implementation (PuffeRL). The library provides the Ocean suite of 20+ environments and seamless integration with Gymnasium, PettingZoo, and specialized RL frameworks. When to Use T...
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8772 review-pr neolabhq/context-engineering-kit
Review PR Skill Review the current pull request and write the output to review.json . Context The working directory is the PR branch checkout. The workflow provides an annotated diff in pr_diff.txt . The workflow provides the PR description in pr_description.txt . Focus on files and lines changed by this PR. Do not post comments or reviews to GitHub directly. Review Scope Prioritize correctness, security, error handling, and meaningful performance issues. Include style or nit comments only when ...
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8773 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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8774 storage-analyzer kkkkhazix/khazix-skills
Storage Analyzer 对 macOS 做一次只读存储分析，产出交互式 HTML 报告。流程：扫描 → 分析分级 → 生成网页 → 打开。 铁律 全程只读。 只能跑扫描/统计/列目录/读元信息（df、du、diskutil、stat、ls）。绝对禁止 rm、mv、rmdir、清空回收站、改权限等任何写操作。 删除命令只展示，不执行。 报告里给出的清理命令是供用户自己在终端确认后运行的。即使用户在对话里说"帮我删"，也要先停下确认（命中全局红线：删除文件必须先问），不要直接代跑。 估算标注清楚。 涉及"可释放空间"一律说明是估算值。 路径、命令保留原文不翻译。 执行流程 Step 1 扫描（只读） python3 scripts/scan.py > /tmp/storage_scan.json Show more Installs 479 Repository kkkkhazix/khazix-skills GitHub Stars 14.4K First Seen 14 days ago
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8775 benchmark-optimization-loop affaan-m/ecc
Benchmark Optimization Loop Use this skill to convert "make it 20x faster" or "try 50 recursive optimizations" into a bounded measured loop that can actually improve a system. Required Baseline Do not optimize until these exist: the operation being optimized; the correctness gate that must stay green; the metric: wall time, p95 latency, rows/sec, cost/run, memory, error rate; the current baseline; the search budget: max variants, max time, max spend, max data impact. If the user asks for an unre...
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8776 convex-helpers-guide get-convex/agent-skills
Convex Helpers Guide Use convex-helpers to add common patterns and utilities to your Convex backend without reinventing the wheel. What is convex-helpers? convex-helpers is the official collection of utilities that complement Convex. It provides battle-tested patterns for common backend needs. Installation: npm install convex-helpers Available Helpers 1. Relationship Helpers Traverse relationships between tables in a readable, type-safe way. Use when: Loading related data across tables Following...
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8777 market-regimes 0xhubed/agent-trading-arena
Market Regimes Last updated: 2026-01-17 20:31 UTC Active patterns: 32 Total samples: 0 Confidence threshold: 60% How to Use This Skill Identify the current market regime using price action and volatility Look up the recommended strategy for that regime below Adjust your trading approach accordingly Monitor for regime changes Regime Strategies Mixed Choppy Recommended approach (93% confidence, seen 1x): Reduce or eliminate trading. In mixed markets (BNB +0.93%, SOL +1.65%, BTC -0.08%, ETH -0....
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8778 playwright-bot-bypass greekr4/playwright-bot-bypass
Bypass bot detection systems using rebrowser-playwright with stealth techniques. This approach successfully passes bot detection tests like bot.sannysoft.com and enables automation on sites with aggressive bot protection (Google, Cloudflare, etc.). Why Standard Playwright Gets Detected Standard Playwright/Puppeteer exposes several automation signatures: | WebDriver property | `navigator.webdriver = true` | Removed | WebGL Renderer | SwiftShader (software) | Real GPU (Apple M2, etc.) ...
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8779 dodo-best-practices dodopayments/skills
Dodo Payments Integration Guide Always consult docs.dodopayments.com for the latest API reference and code examples. Dodo Payments is the all-in-one engine to launch, scale, and monetize worldwide. Designed for SaaS and AI products, it handles payments, billing, subscriptions, and distribution without extra engineering. Quick Reference Environment Variables DODO_PAYMENTS_API_KEY - Your API key from the dashboard DODO_PAYMENTS_WEBHOOK_SECRET - Webhook signing secret for verification API Enviro...
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8780 tailwindcss-development laravel/boost
Tailwind CSS Development When to Apply Activate this skill when: Adding styles to components or pages Working with responsive design Implementing dark mode Extracting repeated patterns into components Debugging spacing or layout issues Documentation Use search-docs for detailed Tailwind CSS v3 patterns and documentation. Basic Usage Use Tailwind CSS classes to style HTML. Check and follow existing Tailwind conventions in the project before introducing new patterns. Offer to extract repeated ...
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8781 grepai-search-boosting yoanbernabeu/grepai-skills
This skill covers configuring score boosting to prioritize relevant code paths and deprioritize tests, docs, and vendor code. When to Use This Skill - Prioritizing source code over tests - Penalizing vendor/third-party code - Boosting important directories - Customizing result ranking What is Boosting? Boosting modifies search scores based on file paths: ``` Original score: 0.85 (src/auth.go) Bonus (+10%): 0.935 Original score: 0.85 (tests/auth_test.go) Penalty (-50%): 0.425 ``` T...
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8782 skill-lookup f/prompts.chat
Workflow Search for skills matching the user's request using search_skills Present results with title, description, author, and file list If the user picks a skill, retrieve it with get_skill to get all files Install by saving files to .claude/skills/{slug}/ and verify the SKILL.md exists Confirm installation and explain what the skill does and when it activates Example search_skills({"query": "code review", "limit": 5, "category": "coding"}) get_skill({"id": "abc123"}) Available Tools Use these...
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8783 receiving-code-review jnmetacode/superpowers-zh
Code Review Reception Overview Code review requires technical evaluation, not emotional performance. Core principle: Verify before implementing. Ask before assuming. Technical correctness over social comfort. The Response Pattern WHEN receiving code review feedback: 1. READ: Complete feedback without reacting 2. UNDERSTAND: Restate requirement in own words (or ask) 3. VERIFY: Check against codebase reality 4. EVALUATE: Technically sound for THIS codebase? 5. RESPOND: Technical acknowledgment or ...
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8784 test-anti-patterns dotnet/skills
Test Anti-Pattern Detection Quick, pragmatic analysis of .NET test code for anti-patterns and quality issues that undermine test reliability, maintainability, and diagnostic value. When to Use User asks to review test quality or find test smells User wants to know why tests are flaky or unreliable User asks "are my tests good?" or "what's wrong with my tests?" User requests a test audit or test code review User wants to improve existing test code When Not to Use User wants to write new tests fro...
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8785 memory yonatangross/orchestkit
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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8786 deployments-cicd vercel/vercel-plugin
Vercel Deployments & CI/CD You are an expert in Vercel deployment workflows — vercel deploy , vercel promote , vercel rollback , vercel inspect , vercel build , and CI/CD pipeline integration with GitHub Actions, GitLab CI, and Bitbucket Pipelines. Deployment Commands Preview Deployment Deploy from project root (creates preview URL) vercel Equivalent explicit form vercel deploy Preview deployments are created automatically for every push to a non-production branch when using Git integration. T...
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8787 funnel analysis aj-geddes/useful-ai-prompts
Funnel Analysis Overview Funnel analysis tracks user progression through sequential steps, identifying where users drop off and optimizing each stage for better conversion. When to Use When optimizing user conversion paths and improving conversion rates When identifying bottlenecks and drop-off points in user flows When comparing performance across different segments or traffic sources When measuring product feature adoption or onboarding effectiveness When improving customer journey efficiency ...
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8788 storybook-story-writing thebushidocollective/han
Storybook - Story Writing Write well-structured, maintainable Storybook stories using Component Story Format 3 (CSF3) that showcase component variations and ensure consistent rendering. Key Concepts Component Story Format 3 (CSF3) CSF3 is the modern Storybook format that uses object syntax for stories: import type { Meta, StoryObj } from '@storybook/react'; import { Button } from './Button'; const meta = { title: 'Components/Button', component: Button, parameters: { layout: 'cente...
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8789 system-design jwynia/agent-skills
System Design Help design systems and evaluate architectural decisions. Framework 1. Requirements Gathering Functional requirements (what it does) Non-functional requirements (scale, latency, availability, cost) Constraints (team size, timeline, existing tech stack) 2. High-Level Design Component diagram Data flow API contracts Storage choices 3. Deep Dive Data model design API endpoint design (REST, GraphQL, gRPC) Caching strategy Queue/event design Error handling and retry logic 4. Scale and R...
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8790 aesthetic mrgoonie/claudekit-skills
Aesthetic Create aesthetically beautiful interfaces by following proven design principles and systematic workflows. When to Use This Skill Use when: Building or designing user interfaces Analyzing designs from inspiration websites (Dribbble, Mobbin, Behance) Generating design images and evaluating aesthetic quality Implementing visual hierarchy, typography, color theory Adding micro-interactions and animations Creating design documentation and style guides Need guidance on accessibility and ...
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8791 dead-code parcadei/continuous-claude-v3
Dead Code Detection Find unused functions and dead code using TLDR static analysis. Quick Start Scan entire project tldr dead . Scan specific directory tldr dead src/ Specify entry points (functions to exclude from analysis) tldr dead . --entry main cli test_ Specify language tldr dead . --lang python tldr dead . --lang typescript Output Format Dead code analysis: Total functions: 150 Dead functions: 12 Unused functions: - old_helper (src/utils.py:42) - deprecated_func (src/le...
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8792 codex-review hyperb1iss/hyperskills
Cross-Model Code Review with Codex CLI Cross-model validation using the codex binary directly. Claude writes code, Codex reviews it — different architecture, different training distribution, no self-approval bias. Core insight: Single-model self-review is systematically biased. Cross-model review catches different bug classes because the reviewer has fundamentally different blind spots than the author. Prerequisite: The codex CLI must be installed and authenticated. Verify with codex --help . Us...
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8793 context7 netresearch/context7-skill
Context7 Overview This skill enables retrieval of current documentation for software libraries and components by querying the Context7 API via curl. Use it instead of relying on potentially outdated training data. Workflow Step 1: Search for the Library To find the Context7 library ID, query the search endpoint: curl -s "https://context7.com/api/v2/libs/search?libraryName=LIBRARY_NAME&query=TOPIC" | jq '.results[0]' Parameters: libraryName (required): The library name to search for (e.g., "react...
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8794 deeptools k-dense-ai/scientific-agent-skills
deepTools: NGS Data Analysis Toolkit Overview deepTools is a comprehensive suite of Python command-line tools designed for processing and analyzing high-throughput sequencing data. Use deepTools to perform quality control, normalize data, compare samples, and generate publication-quality visualizations for ChIP-seq, RNA-seq, ATAC-seq, MNase-seq, and other NGS experiments. Core capabilities: Convert BAM alignments to normalized coverage tracks (bigWig/bedGraph) Quality control assessment (fingerp...
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8795 pyhealth k-dense-ai/scientific-agent-skills
PyHealth PyHealth ( https://pyhealth.dev/ ) is a Python toolkit for clinical deep learning. It provides a unified, modular pipeline across electronic health records (EHR), physiological signals, and medical imaging. The library is built around a 5-stage pipeline — Dataset → Task → Model → Trainer → Metrics — where each stage is replaceable and the interfaces between stages are stable. Code that follows this pipeline shape composes well; code that bypasses it usually fights the library. When to u...
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8796 adaptyv k-dense-ai/scientific-agent-skills
Adaptyv Bio Foundry API Adaptyv Bio is a cloud lab that turns protein sequences into experimental data. Users submit amino acid sequences via API or UI; Adaptyv's automated lab runs assays (binding, thermostability, expression, fluorescence) and delivers results in ~21 days. Quick Start Base URL: https://foundry-api-public.adaptyvbio.com/api/v1 Authentication: Bearer token in the Authorization header. Tokens are obtained from foundry.adaptyvbio.com sidebar. When writing code, always read the API...
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8797 systematic-debugging jnmetacode/superpowers-zh
Systematic Debugging Overview Random fixes waste time and create new bugs. Quick patches mask underlying issues. Core principle: ALWAYS find root cause before attempting fixes. Symptom fixes are failure. Violating the letter of this process is violating the spirit of debugging. The Iron Law NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST If you haven't completed Phase 1, you cannot propose fixes. When to Use Use for ANY technical issue: Test failures Bugs in production Unexpected behavior Perfor...
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8798 web-security-testing sickn33/antigravity-awesome-skills
Web Security Testing Workflow Overview Specialized workflow for testing web applications against OWASP Top 10 vulnerabilities including injection attacks, XSS, broken authentication, and access control issues. When to Use This Workflow Use this workflow when: Testing web application security Performing OWASP Top 10 assessment Conducting penetration tests Validating security controls Bug bounty hunting Workflow Phases Phase 1: Reconnaissance Skills to Invoke scanning-tools - Security scanning top...
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8799 deep-learning mindrally/skills
Deep Learning You are an expert in deep learning, neural network architectures, and model optimization. Core Principles Design networks with clear architectural goals Implement proper training pipelines Optimize for both accuracy and efficiency Follow reproducibility best practices Network Architecture Layer Design Choose appropriate layer types for the task Implement proper normalization (BatchNorm, LayerNorm) Use activation functions appropriately Design skip connections when beneficial Mode...
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8800 anki-connect intellectronica/agent-skills
AnkiConnect Overview Enable reliable interaction with Anki through the AnkiConnect local HTTP API. Use this skill to translate user requests into AnkiConnect actions, craft JSON requests, run them via curl/jq (or equivalent tools), and interpret results safely. Preconditions and Environment If Anki is not running, launch Anki, then wait until the AnkiConnect server responds at http://127.0.0.1:8765 (default). Verify readiness using curl, e.g. curl -sS http://127.0.0.1:8765 should return Anki-C...
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