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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 9151 | shap | k-dense-ai/scientific-agent-skills |
SHAP (SHapley Additive exPlanations) Overview SHAP is a unified approach to explain machine learning model outputs using Shapley values from cooperative game theory. This skill provides comprehensive guidance for: Computing SHAP values for any model type Creating visualizations to understand feature importance Debugging and validating model behavior Analyzing fairness and bias Implementing explainable AI in production SHAP works with all model types: tree-based models (XGBoost, LightGBM, CatBoos...
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1.2K |
| 9152 | dask | k-dense-ai/scientific-agent-skills |
Dask Overview Dask is a Python library for parallel and distributed computing that enables three critical capabilities: Larger-than-memory execution on single machines for data exceeding available RAM Parallel processing for improved computational speed across multiple cores Distributed computation supporting terabyte-scale datasets across multiple machines Dask scales from laptops (processing ~100 GiB) to clusters (processing ~100 TiB) while maintaining familiar Python APIs. When to Use This Sk...
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1.2K |
| 9153 | matlab | k-dense-ai/scientific-agent-skills |
MATLAB/Octave Scientific Computing MATLAB is a numerical computing environment optimized for matrix operations and scientific computing. GNU Octave is a free, open-source alternative with high MATLAB compatibility. Quick Start Running MATLAB scripts: MATLAB (commercial) matlab -nodisplay -nosplash -r "run('script.m'); exit;" GNU Octave (free, open-source) octave script.m Install GNU Octave: macOS brew install octave Show more
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| 9154 | verify | react/react |
Verification Run all verification steps. Arguments: $ARGUMENTS: Test pattern for the test step Instructions Run these first in sequence: Run yarn prettier - format code (stop if fails) Run yarn linc - lint changed files (stop if fails) Then run these with subagents in parallel: Use /flow to type check (stop if fails) Use /test to test changes in source (stop if fails) Use /test www to test changes in www (stop if fails) If all pass, show success summary. On failure, stop immediately and report t...
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1.2K |
| 9155 | documenting-decisions | pandoscope/skills |
Documenting Decisions Checkpoint tags Tag When to mark ARCH New abstractions, deps, data models, component boundaries — anything that shapes long-term structure. SCOPE You resolved an ambiguity in the task by choosing an interpretation. IFACE Changed a public API, config schema, CLI flag, env var, or wire format. SEC Touched auth, crypto, permissions, network exposure, or input validation. IRREV Created a migration, data deletion, deployment trigger, or external side effect. NOVEL No existing re...
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1.2K |
| 9156 | react-patterns | jezweb/claude-skills |
React Patterns Idiomatic React 18/19 patterns for building robust, accessible, performant component trees. When to Activate Writing or modifying React function components, custom hooks, or component trees Reviewing JSX/TSX files Designing state shape or component composition Migrating class components or older forwardRef / useEffect -heavy code Choosing between local state, lifted state, context, and external stores Working with Server Components / Client Components (Next.js App Router, RSC) Imp...
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1.2K |
| 9157 | playwright-visual-testing | manutej/luxor-claude-marketplace |
Playwright Visual Testing & Browser Automation A comprehensive skill for browser automation and visual testing using Playwright MCP server integration. This skill enables rapid UI testing, visual regression detection, automated browser interactions, and cross-browser validation for modern web applications. When to Use This Skill Use this skill when: Testing web applications across multiple browsers (Chromium, Firefox, WebKit) Implementing visual regression testing for UI changes Automating u...
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1.2K |
| 9158 | langgraph | sickn33/agentic-awesome-skills |
LangGraph Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern. Used in production at LinkedIn, Uber, and 400+ companies. This is LangChain's recommended approach for building agents. Role : LangGraph Agent Architect You are an expert in building production-grade AI agents with LangGraph. You ...
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| 9159 | tdd | pandoscope/skills |
Test-Driven Development Philosophy Core principle : Tests should verify behavior through public interfaces, not implementation details. Code can change entirely; tests shouldn't. Good tests are integration-style: they exercise real code paths through public APIs. They describe what the system does, not how it does it. A good test reads like a specification - "user can checkout with valid cart" tells you exactly what capability exists. These tests survive refactors because they don't care about i...
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1.2K |
| 9160 | python-executor | whytryharder/superpowers |
Install the belt CLI skill: npx skills add belt-sh/cli Python Code Executor Execute Python code in a safe, sandboxed environment with 100+ pre-installed libraries. Quick Start Requires inference.sh CLI ( belt ). Install instructions belt login Show more Installs 35.4K Repository skills-101/superpowers GitHub Stars 7 First Seen 14 days ago Security Audits Gen Agent Trust Hub Pass Socket Warn Snyk Warn
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1.2K |
| 9161 | customer-pulse-check | anthropics/knowledge-work-plugins |
Run the customer voice synthesis. Pull feedback signals from all connected sources, identify the themes that are actually fixable, and produce drafted responses the owner can review and send. Parse arguments: --since (default: last 30 days) — start date YYYY-MM-DD for the lookback window Step 1 — Gather feedback signals Using the customer-pulse skill workflow: Pull PayPal disputes and chargebacks for the period: reason codes, amounts, resolution status. Pull HubSpot support tickets and conversat...
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1.2K |
| 9162 | academic-research-suite | imbad0202/academic-research-skills-codex |
ARS-Codex This is a Codex adapter for the ARS suite. The vendored ARS content lives under ars/ ; keep it as source material and route through this file first. Versioning This Codex package is version 0.1.22 . The repo-root VERSION , this SKILL.md metadata version, and manifest.json adapter_version must match. Vendored ARS suite versions are tracked separately by source repository commit in manifest.json . First Rule Do not load the whole suite by default. Select one workflow, read that workflow'...
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1.2K |
| 9163 | acomo | progress-all/acomo-skills |
acomo CLI / API 標準ガイド acomo はワークフロー管理プラットフォームです。このスキルは acomo CLI と公開 API の標準的な使い方 (モデル一覧・モデル定義取得・プロセス開始・保存・提出・承認・却下・差し戻しなど)を案内します。 前提・実行環境 acomo CLI が実行できる環境 (PATH に acomo が存在すること)を前提とします。 エージェントが CLI を実行する場合、リモートサンドボックス等ではローカルの ~/.acomo/config.json や環境変数が自動継承されないことがあります。CI・エージェント実行時は環境変数( ACOMO_ACCESS_TOKEN , ACOMO_TENANT_ID , ACOMO_BASE_URL )の設定を推奨します。 認証未設定時も API コマンドは存在し、実行時に終了コード 2 と stderr の AUTH_REQUIRED で失敗します。その場合はユーザーに再ログイン(または環境変数設定)を促してください。 認証エラー時の扱い 認証エラー(認証未設定・401/403、終了コード 2)が出た場...
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| 9164 | ue-component-model | adobe/skills |
Universal Editor Component Model Configuration This skill helps you create or edit the three JSON configuration files that control how AEM Edge Delivery Services (EDS) blocks appear and behave in the Universal Editor (UE): component-definition.json — Registers blocks in the UE component palette component-models.json — Defines property panel fields for each block component-filters.json — Controls where blocks can be placed When to Use Creating a new block that needs UE authoring support Adding/mo...
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1.2K |
| 9165 | typegpu | software-mansion-labs/skills |
TypeGPU / WebGPU for HyperFrames HyperFrames supports TypeGPU and raw WebGPU through its typegpu runtime adapter. The adapter does not own your pipeline. It publishes HyperFrames time and dispatches a seek event so your composition can render the exact GPU frame. Contract Initialize WebGPU asynchronously ( await navigator.gpu.requestAdapter() ), but register all GSAP tweens synchronously — before any await . The HyperFrames player reads the timeline immediately at page load. Render from HyperFra...
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1.2K |
| 9166 | adopt-spec | zernie/vigiles |
Start a typed CLAUDE.md.spec.ts from an existing hand-written CLAUDE.md (or AGENTS.md). This is the non-destructive adoption path — you keep your existing instruction file as the starting point and get type safety going forward. Adoption rules Adoption is the safe, faithful on-ramp — never an upgrade in disguise. These are non-negotiable: Faithful. Preserve every rule, command, key file, and prose section as-is. Invent nothing — the spec must compile back to ~the user's existing file. Non-destru...
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1.2K |
| 9167 | 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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1.2K |
| 9168 | cn-stats | aahl/skills |
国家统计局 全局环境变量 BASE_URL = 'https://data.stats.gov.cn/dg/website/publicrelease/web/external' 获取指标分类根节点ID ROOT_ID = $( curl " $BASE_URL /new/queryIndexTreeAsync?pid=&code=1" | jq -r '.data[0]._id' ) code: {1:月度数据, 2:季度数据, 3:年度数据, 4:分省月度数据, 5:分省季度数据, 6:分省年度数据} {7:主要城市月度价格, 8:主要城市年度数据, 9:港澳台月度数据, 10:港澳台年度数据} {12:三大经济体月度数据, 13:国际市场月度商品价格, 14:主要国家年度数据} 获取指标分类子节点 curl " $BASE_URL /new/queryIndexTreeAsync?pid= $ROOT_ID &code=1" | jq -r '.data[] | {_id, name, type, isLeaf}' 获取指标列表 curl "...
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| 9169 | redux-toolkit | mindrally/skills |
Redux Toolkit You are an expert in Redux Toolkit for state management in React and Next.js applications. Development Philosophy Write clean, maintainable, and scalable code Adhere to SOLID principles Favor functional and declarative programming patterns Emphasize type safety and component-driven approaches Redux State Management Core Principles Implement Redux Toolkit for global state management Use createSlice to define state, reducers, and actions together Normalize state structure to preven...
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1.2K |
| 9170 | web-design-guidelines | ehmo/platform-design-skills |
Web Interface Guidelines Review files for compliance with Web Interface Guidelines. How It Works Fetch the latest guidelines from the source URL below Read the specified files (or prompt user for files/pattern) Check against all rules in the fetched guidelines Output findings in the terse file:line format Guidelines Source Fetch fresh guidelines before each review: https://raw.githubusercontent.com/vercel-labs/web-interface-guidelines/main/command.md Use WebFetch to retrieve the latest rules. Th...
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1.2K |
| 9171 | sosumi | nshipster/sosumi.ai |
Sosumi Skill Use this skill to reliably fetch Apple docs as Markdown when coding agents need precise API details. When to Use Use Sosumi when the request involves any of the following: Apple platform APIs ( Swift , SwiftUI , UIKit , AppKit , Foundation , etc.) API signatures, availability, parameter behavior, or return semantics Human Interface Guidelines questions WWDC session transcript lookup External Swift-DocC documentation (for example, GitHub Pages or Swift Package Index hosts) Core Workf...
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1.2K |
| 9172 | scikit-survival | k-dense-ai/scientific-agent-skills |
scikit-survival: Survival Analysis in Python Overview scikit-survival is a Python library for survival analysis built on top of scikit-learn. It provides specialized tools for time-to-event analysis, handling the unique challenge of censored data where some observations are only partially known. Survival analysis aims to establish connections between covariates and the time of an event, accounting for censored records (particularly right-censored data from studies where participants don't experi...
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1.2K |
| 9173 | conversion-optimization | kostja94/marketing-skills |
Strategies: Conversion Optimization Guides conversion rate optimization (CRO): increasing the percentage of visitors who complete desired actions. Higher conversion rates mean increased revenue, reduced CAC, and better ROI. Use this skill when optimizing funnels, running experiments, or reducing friction on high-traffic pages. When invoking : On first use , if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when th...
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1.2K |
| 9174 | agent-coordination | ruvnet/ruflo |
Agent Coordination Skill Purpose Spawn and coordinate agents for complex multi-agent tasks. Agent Types Core Development coder , reviewer , tester , planner , researcher V3 Specialized security-architect , security-auditor , memory-specialist , performance-engineer Swarm Coordination hierarchical-coordinator , mesh-coordinator , adaptive-coordinator , collective-intelligence-coordinator Consensus byzantine-coordinator , raft-manager , gossip-coordinator , consensus-builder GitHub pr-manager , co...
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1.2K |
| 9175 | optimize-for-gpu | k-dense-ai/scientific-agent-skills |
GPU Optimization for Python with NVIDIA You are an expert GPU optimization engineer. Your job is to help users write new GPU-accelerated code or transform their existing CPU-bound Python code to run on NVIDIA GPUs for dramatic speedups — often 10x to 1000x for suitable workloads. When This Skill Applies Show more
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1.2K |
| 9176 | open-notebook | k-dense-ai/scientific-agent-skills |
Open Notebook Overview Open Notebook is an open-source, self-hosted alternative to Google's NotebookLM that enables researchers to organize materials, generate AI-powered insights, create podcasts, and have context-aware conversations with their documents — all while maintaining complete data privacy. Unlike Google's Notebook LM, which has no publicly available API outside of the Enterprise version, Open Notebook provides a comprehensive REST API, supports 16+ AI providers, and runs entirely on ...
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1.2K |
| 9177 | parallel-web | k-dense-ai/scientific-agent-skills |
Parallel Web Toolkit A unified skill for all web-powered tasks: searching, extracting, enriching, and researching — with academic and scientific sources as the default priority. Routing — pick the right capability Read the user's request and match it to one of the capabilities below. For web search, extract, enrichment, and deep research, read the corresponding reference file for detailed instructions. User wants to... Capability Where Look something up, research a topic, find current info Web S...
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1.2K |
| 9178 | loops-api | loops-so/skills |
Loops API and SDK Skill This skill helps with Loops implementation workflows from application code. Use it for backend integrations, exact request guidance, and SDK or HTTP decisions. When To Use Use this skill when the user needs to: Show more Installs 797 Repository loops-so/skills GitHub Stars 11 First Seen May 6, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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1.2K |
| 9179 | logfire-query | pydantic/skills |
Query Logfire Data When to Use This Skill Invoke this skill when: User wants to query traces, logs, spans, or metrics from Logfire User wants to search for specific events, errors, or patterns in telemetry data User wants to analyze OpenTelemetry data stored in Logfire User wants to add programmatic query capabilities to their code User asks to "query logfire", "search traces", "find logs", "get metrics", "count", "summarize", "compare", or "find root cause" User-Facing Progress Keep progress up...
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| 9180 | stitch-design-taste | nexu-io/open-design |
Stitch Design Taste — Semantic Design System Skill Overview This skill generates DESIGN.md files optimized for Google Stitch screen generation. It translates the battle-tested anti-slop frontend engineering directives into Stitch's native semantic design language — descriptive, natural-language rules paired with precise values that Stitch's AI agent can interpret to produce premium, non-generic interfaces. The generated DESIGN.md serves as the single source of truth for prompting Stitch to gener...
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| 9181 | getnote-note | iswalle/getnote-cli |
getnote-note Skill Save, list, view, update, and delete notes in Get笔记. Prerequisites getnote CLI installed and authenticated ( getnote auth status should show "Authenticated") Commands Save a note getnote save <url|text|image_path> [--title <title>] [--tag <tag>]... Show more
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1.2K |
| 9182 | add-provider-package | vercel/ai |
Adding a New Provider Package This guide covers the process of creating a new @ai-sdk/<provider> package to integrate an AI service into the AI SDK. First-Party vs Third-Party Providers Third-party packages : Any provider can create a third-party package. We're happy to link to it from our documentation. First-party @ai-sdk/<provider> packages : If you prefer a first-party package, please create an issue first to discuss. Reference Example See https://github.com/vercel/ai/pull/8136/files for a c...
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1.2K |
| 9183 | paywall-optimization | eronred/aso-skills |
Paywall Optimization You are a paywall conversion specialist with deep knowledge of subscription app pricing psychology, A/B testing, and the major paywall frameworks (RevenueCat, Superwall, Adapty, native StoreKit). Your goal is to diagnose paywall under-performance and ship a higher-converting variant within 1–2 release cycles. Initial Assessment Check for app-marketing-context.md — read it for app, audience, and price-point context Ask for the App ID and paywall framework (RevenueCat / Superw...
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1.2K |
| 9184 | umap-learn | k-dense-ai/scientific-agent-skills |
UMAP-Learn Overview UMAP (Uniform Manifold Approximation and Projection) is a dimensionality reduction technique for visualization and general non-linear dimensionality reduction. Apply this skill for fast, scalable embeddings that preserve local and global structure, supervised learning, and clustering preprocessing. Quick Start Installation uv pip install umap-learn Basic Usage UMAP follows scikit-learn conventions and can be used as a drop-in replacement for t-SNE or PCA. Show more
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| 9185 | qwencloud-audio-tts | qwencloud/qwencloud-ai |
Agent setup : If your agent doesn't auto-load skills (e.g. Claude Code), see agent-compatibility.md once per session. Qwen Audio TTS (Text-to-Speech) Synthesize natural speech from text using Qwen TTS models. This skill is part of qwencloud/qwencloud-ai . Skill directory Use this skill's internal files to execute and learn. Load reference files on demand when the default path fails or you need details. Show more Installs 886 Repository qwencloud/qwencloud-ai GitHub Stars 36 First Seen Mar 30, 20...
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1.2K |
| 9186 | redis-clustering | redis/agent-skills |
Redis Clustering Guidance for designing keys and routing reads in a sharded Redis Cluster (and in standalone primary/replica replication). Covers the two failure modes that bite most new cluster users: CROSSSLOT errors on multi-key operations, and overloading primaries with read traffic. When to apply Designing keys for a Redis Cluster deployment. Debugging a CROSSSLOT error on MGET , SDIFF , transactions, or pipelines. Implementing transactions / Lua scripts that touch multiple keys. Scaling ou...
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1.2K |
| 9187 | sf-ai-agentforce-persona | jaganpro/sf-skills |
Agent Persona Design How to Use This skill designs an AI agent persona through a guided questionnaire. It walks you through identity traits, archetype selections across dimensions, settings for brevity and humor, tone boundaries, and phrase book generation — one step at a time. What it produces: A persona document ( generated/[agent-name]-persona.md ) defining who the agent is, how it sounds, and what it never does A scorecard file ( generated/[agent-name]-persona-scorecard.md ) evaluating the p...
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| 9188 | r3f-physics | enzed/r3f-skills |
React Three Fiber Physics (Rapier) Quick Start import { Canvas } from '@react-three/fiber' import { Physics, RigidBody, CuboidCollider } from '@react-three/rapier' import { Suspense } from 'react' function Scene() { return ( <Canvas> <Suspense fallback={null}> <Physics debug> {/* Falling box */} <RigidBody> <mesh> <boxGeometry /> <meshStandardMaterial color="orange" /> </mesh> </RigidBody> ...
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| 9189 | backend-dev-guidelines | langfuse/langfuse |
Backend Development Guidelines (Node.js · Express · TypeScript · Microservices) You are a senior backend engineer operating production-grade services under strict architectural and reliability constraints. Your goal is to build predictable, observable, and maintainable backend systems using: Layered architecture Explicit error boundaries Strong typing and validation Centralized configuration First-class observability This skill defines how backend code must be written , not merely suggestions. 1...
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| 9190 | amazon-keyword-research | nexscope-ai/amazon-skills |
Amazon Keyword Research 🔍 Free keyword research for Amazon sellers. No API key — works out of the box. Installation npx skills add nexscope-ai/Amazon-Skills --skill amazon-keyword-research -g Capabilities Long-tail keyword mining : Extract 100-200 real search terms from Amazon's autocomplete engine Competitor landscape analysis : Product count, price range, average rating, review distribution, top brands Seasonal trend detection : 12-month Google Trends data to identify peak seasons and demand s...
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1.2K |
| 9191 | compose-expert | vitorpamplona/amethyst |
Compose Multiplatform Expert Visual UI patterns for sharing composables across Android and Desktop. When to Use This Skill Creating or refactoring shared UI components Deciding whether to share UI in commonMain or keep platform-specific Building custom ImageVector icons (robohash pattern) State management: remember, derivedStateOf, produceState Recomposition optimization: visual usage of @Stable/@Immutable Material3 theming and styling Performance: lazy lists, image loading Delegate to other ...
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| 9192 | ui-designer | daymade/claude-code-skills |
Use this skill to produce singular, deployment-ready frontend interfaces that escape the bland "AI slop" look. Deliver real, working code paired with obsessive care for visual nuance and inventive choices. Expect the user to hand over frontend requirements: a component, page, application, or interface that needs to be built. Their brief may also touch on intent, target audience, or technical limitations. Setting the Visual Direction Do not start coding until you've absorbed the context and commi...
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| 9193 | embeddings | ruvnet/ruflo |
Embeddings Skill Purpose Vector embeddings for semantic search and pattern matching with HNSW indexing. Features Feature Description sql.js Cross-platform SQLite persistent cache (WASM) HNSW 150x-12,500x faster search Hyperbolic Poincare ball model for hierarchical data Normalization L2, L1, min-max, z-score Chunking Configurable overlap and size 75x faster With agentic-flow ONNX integration Commands Initialize Embeddings npx claude-flow embeddings init --backend sqlite Embed Text npx claude-flo...
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| 9194 | crm-lookup | hubspot/agent-cli-skills |
Source of truth hubspot <command> --help is authoritative. Read bulk-operations/SKILL.md first — it owns JSONL piping, pagination, batch-get-via-stdin, and the safety flow for any write that comes after a lookup. This skill is read-only. Pick properties from the live schema Schemas drift. Run hubspot properties list --type <type> for the live set. First-pass --properties for a brief: Object --properties contacts email,firstname,lastname,company,phone,lifecyclestage,hubspot_owner_id companies nam...
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| 9195 | prompt-engineering | neolabhq/context-engineering-kit |
Prompt Engineering Overview Use this skill to design prompt systems that are clear, testable, and reusable. It covers prompt drafting, optimization, evaluation, and production-oriented patterns for few-shot prompting, reasoning workflows, templates, and system prompts. Keep the main workflow in this file and load the targeted reference files only for the pattern you are applying. When to Use Use this skill when: A user asks to write, rewrite, or improve a prompt A prompt needs better structure, ...
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| 9196 | 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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| 9197 | venue-templates | k-dense-ai/scientific-agent-skills |
Venue Templates Overview Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues, academic conferences, research posters, and grant proposals. This skill provides ready-to-use templates and detailed specifications for successful academic submissions across disciplines. Use this skill when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting ...
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| 9198 | google-chat-messages | jezweb/claude-skills |
Google Chat Messages Send messages to Google Chat spaces via incoming webhooks. Produces text messages, rich cards (cardsV2), and threaded replies. What You Produce Text messages with Google Chat formatting Rich card messages (cardsV2) with headers, sections, widgets Threaded conversations Reusable webhook sender utility Workflow Step 1: Get Webhook URL In Google Chat: Open a Space > click space name > Manage webhooks Create webhook (name it, optionally add avatar URL) Copy the webhook URL Store...
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| 9199 | torch-geometric | k-dense-ai/scientific-agent-skills |
PyTorch Geometric (PyG) PyG is the standard library for Graph Neural Networks built on PyTorch. It provides data structures for graphs, 60+ GNN layer implementations, scalable mini-batch training, and support for heterogeneous graphs. Install: uv add torch_geometric (or uv pip install torch_geometric ; requires PyTorch). Optional: pyg-lib , torch-scatter , torch-sparse , torch-cluster for accelerated ops. Core Concepts Graph Data: Data and HeteroData A graph lives in a Data object. The key attri...
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| 9200 | biopython | k-dense-ai/scientific-agent-skills |
Biopython: Computational Molecular Biology in Python Overview Biopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O, database access, structural bioinformatics, phylogenetics, and many other bioinformatics tasks. The current version is Biopython 1.85 (released January 2025), which supports Python 3 and requires NumPy. When to Use This Skill Use this skill when: Show more
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