83,201 skills sorted by stars.
Privacy by design, data protection, and responsible AI principles.
Automated privacy review for git repositories. Scans for sensitive data exposure including API keys, passwords, database...
Assess data privacy and compliance risks in pilot data workflows and outputs. Use when evaluating data handling practice...
Run PlatformIO tests for PrivacyLRS to validate code changes and security fixes
note.com記事の本文を生成。アウトラインから7000-12000字の完成度の高い記事本文を執筆する。
note.com記事のアウトラインを生成。SEO/AIEO最適化された構成で5-7セクションの記事構造を設計する。
下書きファイルをnote.comに下書き投稿。Frontmatterを検証し、mcp__note-post-mcp__save_draftを呼び出す。
既存のnote.com記事をAIEO/SEO観点でリライト。WebSearchで最新情報を収集し、読みやすく再構成する。
note.com記事の品質・安全性を検証。ファクトチェック、盗用リスク、炎上リスク、法的リスクを分析してレポートを生成する。
曲を設計視点で分析し、analysis/{slug}.mdに保存。曲の本質、構造、コード進行、アレンジメントを言語化する。
分析ファイルからSunoパック（style, lyrics, image_prompt）を生成。Suno AI用のプロンプトセットを作成する。
note記事からX投稿文を生成。バズ狙いではなく、信頼と再訪を生む入口文を作成する。
協助開發者在測試私有（private）和內部（internal）成員時做出正確的設計決策。當使用者需要測試 internal 類別、使用 InternalsVisibleTo、測試私有方法、或改善程式碼的可測試性時，請使用此技能。
Rules for determining if a component should be private or shared, and where to place them based on their use-case.
This skill should be used when the user asks to "configure WezTerm", "wezterm config", "customize terminal", "set up wez...
Ethical people-finding. USE WHEN find person, locate, reconnect, people search, skip trace. SkillSearch('privateinvestig...
Generates tizen-manifest.xml and config.xml privilege declarations. Auto-detects required privileges from app source cod...
This skill should be used when the user asks to "escalate privileges", "get root access", "become administrator", "prive...
Create and manage agentic wallets with Privy. Use for autonomous onchain transactions, wallet creation, policy managemen...
Professional engineering skill combining senior engineer thinking patterns, adaptive task assessment, and Google-grade s...
Complete AI coding workflow system. Orchestration patterns, 18 hook events, 5 agents, cross-agent support, reference gui...
Patterns and workflows for proactive agent behavior.
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Includes...
Anticipate user needs and offer help before being asked
Motto: The LLM is the dice. It narrates the outcome.
Optimizes black-box functions (e.g., experimental yield) using Gaussian Processes, ideal for self-driving labs.
Mathematical foundations of uncertainty and random phenomena. Covers sample spaces, events, axioms, conditional probabil...
name: probe-estimation
Pre-built audit probes for Cloudflare services. Reference these query patterns when validating D1 indexes with EXPLAIN Q...
Frame the core customer problem, evidence, and success hypothesis before solutioning.
Systematic comprehension of a problem before any solving attempt. Covers restating the problem, identifying knowns, unkn...
Define a product problem and produce a Problem Definition Pack (problem statement, JTBD, current alternatives, evidence...
JTBD（Jobs To Be Done）とペイン・ゲイン分析を用いて、ユーザーの問題を深掘りし定義する。新規プロダクト企画の初期段階、既存プロダクトの方向性見直し、ターゲットユーザーの理解が不十分な場合に使用。「問題を定義したい」「ユーザ...
Help users define problems clearly before jumping to solutions. Use when someone is scoping a new feature, validating a...
Мета-фреймворк структурированного решения любых задач. Определяет область знаний, находит существующие фреймворки через...
Use when beginning analytical or strategic tasks, facing undefined problems, or facing analysis paralysis—requires expli...
Guide teams through MITRE's Problem Framing Canvas. Use when you need a clearer problem statement before jumping to solu...
Validate that the problem you want to solve is real, painful, and worth solving before building anything. Master Cindy A...