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Found 1,003 Skills
This skill should be used when the user asks to "make a math animation", "animate an equation", "use Manim", "make a 3Blue1Brown-style video", "plot or animate a graph/function", "visualize a math/physics/CS concept", "morph one formula into another", "animate a geometric proof", or "render a math explainer". Covers Manim Community Edition — Scenes, Mobjects, animations, LaTeX/MathTex, graphs, updaters/ValueTracker, 3D, and rendering to MP4/GIF via the CLI.
Guides the agent through connecting an MCP client to the hosted, unofficial Capacitor MCP server by Capawesome, which serves the official Capacitor documentation for v8, v7, v6 and next, the official and community plugin list, and the Capacitor posts from the Ionic blog. Covers client detection, setup for Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, Zed and stdio-only clients, documentation version selection, verification, and troubleshooting. Do not use for installing or configuring Capacitor plugins, upgrading or migrating apps and plugins to a newer version, Ionic Framework UI components, Capawesome Cloud, or MCP servers other than the Capacitor one.
Provide frameworks for managing and paying off personal debt effectively. Use when the user asks about debt payoff strategies (avalanche vs snowball), refinancing decisions, debt consolidation, debt-to-income ratios, or the opportunity cost of paying off debt vs investing. Also trigger when users mention 'which debt to pay first', 'should I refinance', 'credit card debt', 'student loan payoff', 'DTI for mortgage', 'balance transfer', 'good debt vs bad debt', or ask how to get out of debt faster.
Expand keyword candidates using autosuggest, related keywords, and community mining via DataForSEO
Use zhihu-search proactively for Chinese web research and current information even when the user does not mention Zhihu: search or verify information, find sources and links, gather real experiences, reviews, community opinions, comparisons and tutorials, and inspect recent hot topics. For any general-knowledge request to explain, analyze, synthesize or directly answer a question, invoke this Skill and route to Zhida ask even when the model already knows an answer. 当用户说“查资料/搜一下/核实信息/找来源”“真实经验/口碑/大家怎么看/对比/教程”“为什么/是什么/解释或分析/直接回答”“最近热点/现在大家在聊什么”时必须主动使用，也用于安装、配置或排障 zhihu-search。Explicit requests for authorized Zhihu user data, Zhihu knowledge bases, Zhihu-backed PDF/PPT tasks or Zhihu OAuth flows also belong here. Do not invoke for repository-local code questions, pure math or logic, translation, or operations limited to user-provided content unless external verification is requested.
All-in-one skill for CLAUDE.md files. Two modes: `audit` finds drift (claimed facts no longer matching code), leaked secrets, duplicates, instruction-budget bloat, and prescriptive-vs-descriptive imbalance across all CLAUDE.md files in your projects. `improve` measures one CLAUDE.md against Anthropic's official best practices (200-line budget, removability test, emphasis tuning, 3-tier hierarchy) plus community-validated guidance, then proposes concrete rewrite diffs applied only after user approval. Default behavior auto-detects: in a project with a CLAUDE.md → improve mode; otherwise → audit all. Use when: 'audit claude.md', 'check claude md drift', 'lint CLAUDE.md', 'claude md audit', 'refresh instructions', 'improve CLAUDE.md', 'restructure CLAUDE.md', 'tune CLAUDE.md', 'apply CLAUDE.md best practices', 'is my CLAUDE.md good', 'CLAUDE.md is too long', 'rebalance CLAUDE.md', or quarterly as a hygiene check.
Monitors TikTok for brand mentions and product discussions using apidojo's TikTok scraper on Apify. Triggers when the user asks to: track mentions of a brand on TikTok, monitor TikTok hashtags for brand content, find TikTok videos talking about a product or company, see what TikTok says about a brand this week, track TikTok reactions to a product launch, find TikTok creators who mentioned a competitor brand, monitor brand sentiment on TikTok, or discover viral TikTok content about a specific brand or product. Returns creator handle, views, likes, comments, sentiment signal, and video caption excerpt. Ideal for brand managers, community teams, crisis communications, and product marketing teams.
Use when selecting, writing, or auditing testimonials, reviews, ratings, case studies, usage stats, customer logos, waitlists, community signals, popularity claims, marketplace rankings, group-norm messages, or any proof that relies on what other people do or believe.
Provides authoritative guidance on Amazon Neptune Database and Neptune Analytics for graph, knowledge-graph, and relationship-heavy workloads — fraud detection / fraud rings, agentic memory / chatbot context across sessions, recommendations, identity resolution, Gremlin / openCypher / SPARQL queries, supernode / slow traversal, Neo4j to Neptune migration / APOC compatibility, Neptune Database vs Analytics engine selection, PageRank / community detection, GraphRAG, and connectivity from Lambda / EC2 / applications. Creates and modifies Neptune Database clusters/instances and Neptune Analytics graphs on explicit user confirmation; blocks destructive operations (delete, reset-graph, failover, major upgrade) and redirects to change-control.
Turn market and customer evidence into product questions worth investigating - for a product area or a roadmap under review - without treating competitor features as a roadmap. Establishes what competitors actually did and whether it is independent and buyer-relevant, pulls the company's own customer evidence for the same need, checks whether the problem is already solved another way, and frames each gap as table-stakes risk, differentiator opportunity, copycat noise, or evidence gap, with the evidence still needed before anyone prioritizes. Use for "what should product investigate based on the market", "competitors keep adding this - does it matter for our roadmap", "review this roadmap against market and customer evidence", "are we missing something". Not for deciding whether a market pattern is real, framing a launch, or making the priority call.
Score an open source repository against the oss-kit standard and report what is missing. Checks documentation, community files, CI, security posture, release process, changelog discipline, and the structure of any agent skills the repository ships, then names the skill that fixes each gap. Use when the user asks how healthy a repo is, what an open source project is missing, to audit or review a repository's open source practices, where to start improving one, what to do before opening a private repository to the public, or to score a repository against a named standard.
Converse with wisdom mentors — embody the thinking style, worldview, and philosophy of selected intellectual teachers for deep dialogue. Available mentors: Naval Ravikant (wealth, happiness, rational Buddhism), Daniel Schmachtenberger (metacrisis, civilizational design, systems thinking), Mihaly Csikszentmihalyi (flow, optimal experience, creativity), J. Krishnamurti (consciousness, freedom, self-inquiry), Ken Wilber (integral theory, AQAL, stages of development), Thích Viên Minh (Theravāda meditation, present reality, innate awareness), Trần Việt Quân (education, 3 Roots philosophy, kindness community), Thích Nhất Hạnh (mindfulness, interbeing, engaged Buddhism, compassion), Sư Tâm Pháp (Vipassanā, four postures meditation, direct experience, forest monk tradition), Thu Giang Nguyễn Duy Cần (Lao-Zhuang philosophy, art of living, self-education, inner courage), Minh Niệm (heart understanding, emotional healing, modern Buddhist psychology, mindful living). Use when the user wants to: (1) talk to or chat with a specific thinker/mentor, (2) get a perspective from a specific philosopher, (3) explore ideas through dialogue with a wisdom figure, (4) ask "what would [name] say about...", (5) learn a thinker's philosophy through conversation. Also supports adding new custom mentors via template.