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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 8351 | llm-app-patterns | sickn33/antigravity-awesome-skills |
🤖 LLM Application Patterns Production-ready patterns for building LLM applications, inspired by Dify and industry best practices. When to Use This Skill Use this skill when: Designing LLM-powered applications Implementing RAG (Retrieval-Augmented Generation) Building AI agents with tools Setting up LLMOps monitoring Choosing between agent architectures 1. RAG Pipeline Architecture Overview RAG (Retrieval-Augmented Generation) grounds LLM responses in your data. ┌─────────────┐ ┌───────...
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623 |
| 8352 | cinematic-script-writer | praveenspeaks/cinematic-script-writer |
Cinematic Script Writer Create professional cinematic scripts for AI video generation with character consistency and cinematography knowledge. Installation Install via npm npm install -g cinematic-script-writer Or install via OpenClaw CLI openclaw skills install cinematic-script-writer CLI Usage Context Management Create and manage story contexts with characters, era, and settings: Create a new story context cinematic-script create-context --name "My Story" --era "Ancient India" --period "Ram...
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623 |
| 8353 | stakeholder-alignment | owl-listener/designer-skills |
Stakeholder Alignment Help the user achieve stakeholder alignment using frameworks and insights from 88 product leaders. How to Help When the user asks for help with stakeholder alignment: Understand the situation - Ask who the stakeholders are, what decision needs to be made, and where resistance is coming from Identify motivations - Help them understand what each stakeholder cares about and their definition of success Structure the approach - Guide them on pre-alignment, communication sequence...
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623 |
| 8354 | infographics | k-dense-ai/scientific-agent-skills |
Infographics Overview Infographics are visual representations of information, data, or knowledge designed to present complex content quickly and clearly. This skill uses Nano Banana Pro AI for infographic generation with Gemini 3 Pro quality review and Perplexity Sonar for research. How it works: (Optional) Research phase : Gather accurate facts and statistics using Perplexity Sonar Describe your infographic in natural language Nano Banana Pro generates publication-quality infographics automatic...
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623 |
| 8355 | router-act | vercel/next.js |
Router Act Testing Use this skill when writing or modifying tests that involve prefetch requests, client router navigations, or the segment cache. The createRouterAct utility from test/lib/router-act.ts lets you assert on prefetch and navigation responses in an end-to-end way without coupling to the exact number of requests or the protocol details. This is why most client router-related tests use this pattern. When NOT to Use act Don't bother with act if you don't need to instrument the network ...
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622 |
| 8356 | malware-analysis-dragonflytomb-avast | aradotso/security-skills |
DragonflyTomb/Avast-Premium-Security-2026 Analysis Skill by ara.so — Security Skills collection ⚠️ WARNING: Malware Distribution Repository This repository is NOT legitimate Avast Premium Security software. It exhibits multiple red flags consistent with malware distribution disguised as cracked security software. Threat Indicators Repository Red Flags Unauthorized Distribution : Avast Corporation does not distribute software via GitHub repositories named "DragonflyTomb" Crack/Keygen Keywords : T...
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622 |
| 8357 | search-memory | nowledge-co/community |
Search Memory AI-powered semantic search across your personal knowledge base using Nowledge Mem. When to Use Strong signals to search: Continuity: Current topic connects to prior work Pattern match: Problem resembles past solved issue Decision context: "Why/how we chose X" implies documented rationale Recurring theme: Topic discussed in past sessions Implicit recall: "that approach", "like before" Contextual signals: Complex debugging (may match past root causes) Architecture discussion (choices...
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622 |
| 8358 | jotai | vercel-labs/json-render |
@json-render/jotai Jotai adapter for json-render's StateStore interface. Wire a Jotai atom as the state backend for json-render. Installation npm install @json-render/jotai @json-render/core @json-render/react jotai Usage import { atom } from "jotai" ; import { jotaiStateStore } from "@json-render/jotai" ; import { StateProvider } from "@json-render/react" ; // 1. Create an atom that holds the json-render state const uiAtom = atom < Record < string , unknown >> ( { count : 0 } ) ; // 2. Create t...
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622 |
| 8359 | pattern-library | owl-listener/designer-skills |
Pattern Library You are an expert in documenting reusable design patterns that solve recurring UX problems. What You Do You create pattern library entries capturing design knowledge in a reusable format. Pattern Entry Structure Problem Statement — What need does this address? What contexts? Solution — The pattern, key principles, visual/interaction description Anatomy — Components, layout, required vs optional elements Variants — Context-specific implementations, responsive adaptations Behavior ...
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622 |
| 8360 | gesture-patterns | owl-listener/designer-skills |
Gesture Patterns You are an expert in designing intuitive gesture-based interactions. What You Do You design gesture interactions that feel natural and discoverable across touch and pointer devices. Core Gestures Tap : Select, activate, toggle Double tap : Zoom, like/favorite Long press : Context menu, reorder mode, preview Swipe : Navigate, dismiss, reveal actions Pinch : Zoom in/out Rotate : Rotate content (maps, images) Drag : Move, reorder, adjust values Pull : Refresh content (pull-to-refre...
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622 |
| 8361 | test-driven-development | neolabhq/context-engineering-kit |
Test-Driven Development (TDD) Overview Write the test first. Watch it fail. Write minimal code to pass. Core principle: If you didn't watch the test fail, you don't know if it tests the right thing. Violating the letter of the rules is violating the spirit of the rules. When to Use Always: New features Bug fixes Refactoring Behavior changes Exceptions (ask your human partner): Throwaway prototypes Generated code Configuration files Thinking "skip TDD just this once"? Stop. That's rationalization...
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622 |
| 8362 | axiom-networking | charleswiltgen/axiom |
Network.framework Networking When to Use This Skill Use when: Implementing UDP/TCP connections for gaming, streaming, or messaging apps Migrating from BSD sockets, CFSocket, NSStream, or SCNetworkReachability Debugging connection timeouts or TLS handshake failures Supporting network transitions (WiFi ↔ cellular) gracefully Adopting structured concurrency networking patterns (iOS 26+) Implementing custom protocols over TLS/QUIC Requesting code review of networking implementation before shipping
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622 |
| 8363 | kaizen | sickn33/antigravity-awesome-skills |
Kaizen: Continuous Improvement Apply continuous improvement mindset - suggest small iterative improvements, error-proof designs, follow established patterns, avoid over-engineering; automatically applied to guide quality and simplicity Overview Small improvements, continuously. Error-proof by design. Follow what works. Build only what's needed. Core principle: Many small improvements beat one big change. Prevent errors at design time, not with fixes. When to Use Always applied for: Code implemen...
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621 |
| 8364 | security-threat-awareness | aradotso/security-skills |
Security Threat Awareness Skill by ara.so — Security Skills collection. ⚠️ CRITICAL SECURITY WARNING This repository is a malicious threat distribution channel, NOT legitimate software. The project viceofficialtower74/Avast-Premium-Security-Windows-Latest exhibits multiple red flags indicating it is a malware distribution platform: Threat Indicators Pirated Software Distribution : Offers "cracked" commercial software with "keygen," "activation," and "pre-activated license keys" Copyright Violati...
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621 |
| 8365 | affinity-diagram | owl-listener/designer-skills |
Affinity Diagram Organize qualitative research data into themed clusters and insight statements. Context You are a UX researcher synthesizing qualitative data for $ARGUMENTS. If the user provides files (interview notes, observation data, survey responses), read them first. Instructions Extract data points : Pull individual observations, quotes, and notes from the raw data. Bottom-up clustering : Group related data points into natural clusters (do not start with predefined categories). Name each ...
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621 |
| 8366 | north-star-vision | owl-listener/designer-skills |
North Star Vision You are an expert in articulating inspiring product visions that unite teams and guide direction. What You Do You help teams define a north-star vision — a compelling future state that inspires alignment and guides trade-offs. Vision Components Vision Statement — Who, what experience, why it matters (one sentence) Design Pillars — 3-5 strategic focus areas defining differentiators Vision Scenarios — Concrete narrative stories of the future experience Success Criteria — Qualitat...
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621 |
| 8367 | content-creator | davila7/claude-code-templates |
Content Creator You are an expert content creator who produces engaging, audience-focused content for blogs, social media, and marketing. When to Apply Use this skill when: Writing blog posts and articles Creating social media content (Twitter, LinkedIn, Instagram) Developing marketing copy Crafting compelling headlines and hooks Creating email newsletters Writing product descriptions Content Creation Framework 1. Know Your Audience Who are you writing for? What are their pain points? What level...
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621 |
| 8368 | agent-memory-systems | davila7/claude-code-templates |
Agent Memory Systems You are a cognitive architect who understands that memory makes agents intelligent. You've built memory systems for agents handling millions of interactions. You know that the hard part isn't storing - it's retrieving the right memory at the right time. Your core insight: Memory failures look like intelligence failures. When an agent "forgets" or gives inconsistent answers, it's almost always a retrieval problem, not a storage problem. You obsess over chunking strategies, em...
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621 |
| 8369 | mermaid-tools | daymade/claude-code-skills |
Mermaid Tools Overview This skill enables extraction of Mermaid diagrams from markdown files and generation of high-quality PNG images. The skill bundles all necessary scripts (extract-and-generate.sh, extract_diagrams.py, and puppeteer-config.json) in the scripts/ directory for portability and reliability. Core Workflow Standard Diagram Extraction and Generation Extract Mermaid diagrams from a markdown file and generate PNG images using the bundled extract-and-generate.sh script: cd ~/.clau...
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621 |
| 8370 | update-docs | neolabhq/context-engineering-kit |
Update Documentation Guide for updating voxtype documentation across all locations. Documentation Locations Document Location When to Update User Manual docs/USER_MANUAL.md New features, usage changes Configuration Guide docs/CONFIGURATION.md New config options Troubleshooting docs/TROUBLESHOOTING.md New error conditions, fixes FAQ docs/FAQ.md Common questions README README.md Major features, installation changes Website News website/news/index.html Every release GitHub Release GitHub Releases...
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621 |
| 8371 | scipy-best-practices | mindrally/skills |
SciPy Best Practices Expert guidelines for SciPy development, focusing on scientific computing, optimization, signal processing, and statistical analysis. Code Style and Structure Write concise, technical Python code with accurate SciPy examples Prioritize numerical accuracy and computational efficiency Use functional programming patterns for mathematical operations Prefer vectorized operations over explicit loops Use descriptive variable names reflecting scientific context Follow PEP 8 style ...
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621 |
| 8372 | transformers | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub Installs 434 Repository k-dense-ai/scie…t-skills GitHub Stars 26.3K First Seen Apr 9, 2026
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621 |
| 8373 | networkx | k-dense-ai/scientific-agent-skills |
NetworkX Overview NetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs. Use this skill when working with network or graph data structures, including social networks, biological networks, transportation systems, citation networks, knowledge graphs, or any system involving relationships between entities. When to Use This Skill Invoke this skill when tasks involve: Creating graphs : Building network structures from data, adding nodes and edges with attr...
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621 |
| 8374 | using-superpowers | jnmetacode/superpowers-zh |
IF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT. This is not negotiable. This is not optional. You cannot rationalize your way out of this. Instruction Priority Superpowers skills override default system prompt behavior, but user instructions always take precedence : User's explicit instructions (CLAUDE.md, GEMINI.md, AGENTS.md, direct requests) — highest priority Superpowers skills — override default system behavior where they conflict Default system prompt — lowest p...
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621 |
| 8375 | metrics-definition | owl-listener/designer-skills |
Metrics Definition You are an expert in defining meaningful UX metrics that demonstrate design impact. What You Do You help teams define metrics connecting design work to measurable outcomes. Metric Categories Behavioral : Task completion, time on task, error rate, feature adoption Attitudinal : SUS, NPS, CSAT, perceived ease of use Business : Conversion, retention, support volume, onboarding completion Engagement : DAU/MAU, session duration, feature discovery, return visits HEART Framework Happ...
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620 |
| 8376 | pdf processing pro | davila7/claude-code-templates |
PDF Processing Pro Production-ready PDF processing toolkit with pre-built scripts, comprehensive error handling, and support for complex workflows. Quick start Extract text from PDF import pdfplumber with pdfplumber . open ( "document.pdf" ) as pdf : text = pdf . pages [ 0 ] . extract_text ( ) print ( text ) Analyze PDF form (using included script) python scripts/analyze_form.py input.pdf --output fields.json Returns: JSON with all form fields, types, and positions Fill PDF form with validation...
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620 |
| 8377 | lawyer-analyst | rysweet/amplihack |
Lawyer Analyst Skill Purpose Analyze events through the disciplinary lens of law, applying rigorous legal methodologies (statutory interpretation, case law analysis, legal reasoning), constitutional principles, procedural frameworks, substantive legal doctrines across multiple domains (contracts, torts, property, criminal, constitutional, administrative, international), and professional ethical standards to understand legal rights and obligations, assess liabilities and risks, identify applicab...
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620 |
| 8378 | bootstrap | bytedance/deer-flow |
Bootstrap Development You are an expert in Bootstrap for building responsive, maintainable web interfaces. Core Principles Write clear, concise, and technical responses with precise Bootstrap examples Utilize Bootstrap's components and utilities for responsive, maintainable development Prioritize clean coding practices and descriptive class naming Minimize custom CSS by leveraging built-in components Grid System & Layout Leverage Bootstrap's grid system for responsive layouts Use container, ro...
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620 |
| 8379 | setup-webhook | vapiai/skills |
Vapi Webhook / Server URL Setup Configure server URLs to receive real-time events from Vapi during calls — transcripts, tool calls, status changes, and end-of-call reports. Setup: Ensure VAPI_API_KEY is set. See the setup-api-key skill if needed. Overview Vapi uses "Server URLs" (webhooks) to communicate with your application. Unlike traditional one-way webhooks, Vapi server URLs support bidirectional communication — your server can respond with data that affects the call. Where to Set Server UR...
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620 |
| 8380 | msbuild-antipatterns | dotnet/skills |
MSBuild Anti-Pattern Catalog A numbered catalog of common MSBuild anti-patterns. Each entry follows the format: Smell : What to look for Why it's bad : Impact on builds, maintainability, or correctness Fix : Concrete transformation Use this catalog when scanning project files for improvements. AP-01: <Exec> for Operations That Have Built-in Tasks Smell : <Exec Command="mkdir ..." /> , <Exec Command="copy ..." /> , <Exec Command="del ..." /> Why it's bad : Built-in tasks are cross-platform, suppo...
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620 |
| 8381 | felo-slides | felo-inc/felo-skills |
Felo Slides Skill When to Use Trigger this skill for requests about creating presentation files: Create/generate slides from a topic or outline Turn notes into a PPT deck Build a presentation with a page count requirement Export presentation content into a shareable slide link Trigger keywords: Chinese prompts about making slides or presentations English: slides, PPT, presentation deck, generate presentation Explicit commands: /felo-slides , "use felo slides" Do NOT use this skill for: Real-time...
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620 |
| 8382 | figma-generate-diagram | figma/mcp-server-guide |
generate-diagram You MUST load this skill before every generate_diagram tool call. Skipping it causes preventable rendering failures and low-quality output. generate_diagram takes Mermaid.js syntax and produces an editable FigJam diagram. This skill routes you to the right per-type guidance and sets universal constraints. Step 1: Is generate_diagram the right tool? Supported diagram types flowchart , sequenceDiagram , stateDiagram / stateDiagram-v2 , gantt , erDiagram . Unsupported — don't call ...
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620 |
| 8383 | nestjs-testing-expert | shipshitdev/library |
NestJS Testing Expert You build reliable Jest test suites for NestJS modules, services, and controllers. When to Use Writing unit or integration tests for NestJS Setting up TestModule, mocking providers, or database fakes Debugging flaky tests Testing Pyramid Unit tests for pure logic and services Integration tests for modules with real providers E2E tests for HTTP APIs Common Patterns Use Test.createTestingModule with explicit providers. Mock external services with jest.fn or test doubles. Fo...
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619 |
| 8384 | create-phone-number | vapiai/skills |
Vapi Phone Number Setup Import phone numbers from Twilio, Vonage, or Telnyx, or use Vapi's built-in numbers to connect voice assistants to real phone calls. Setup: Ensure VAPI_API_KEY is set. See the setup-api-key skill if needed. Quick Start — Buy a Vapi Number Vapi provides free phone numbers for testing with daily call limits. curl -X POST https://api.vapi.ai/phone-number \ -H "Authorization: Bearer $VAPI_API_KEY " \ -H "Content-Type: application/json" \ -d '{ "provider": "vapi", "assistantId...
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619 |
| 8385 | user-persona | owl-listener/designer-skills |
User Persona Create comprehensive user personas grounded in research data for product and UX design. Context You are a senior UX researcher helping a design team create user personas for $ARGUMENTS. If the user provides files (research data, interview transcripts, survey results, analytics), read them first. If they mention a product URL, use web search to understand the product. Domain Context Personas (Alan Cooper, About Face): Archetypical users based on behavioral patterns, not demographics ...
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619 |
| 8386 | supabase | mindrally/skills |
Supabase Core Principles 1. Supabase changes frequently — verify against current docs before implementing. Do not rely on training data for Supabase features. Function signatures, config.toml settings, and API conventions change between versions. Before implementing, look up the relevant topic using the documentation access methods below. 2. Verify your work. After implementing any fix, run a test query to confirm the change works. A fix without verification is incomplete. 3. Recover from errors...
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619 |
| 8387 | multi-agent-patterns | neolabhq/context-engineering-kit |
No SKILL.md available for this skill. View on GitHub Installs 448 Repository neolabhq/contex…ring-kit GitHub Stars 1.0K First Seen Jan 20, 2026
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619 |
| 8388 | subagent-driven-development | neolabhq/context-engineering-kit |
Subagent-Driven Development Execute plan by dispatching fresh subagent per task, with two-stage review after each: spec compliance review first, then code quality review. Why subagents: You delegate tasks to specialized agents with isolated context. By precisely crafting their instructions and context, you ensure they stay focused and succeed at their task. They should never inherit your session's context or history — you construct exactly what they need. This also preserves your own context for...
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619 |
| 8389 | wechat-article-to-markdown | jackwener/wechat-article-to-markdown |
WeChat Article to Markdown Fetch a WeChat Official Account article and convert it to a clean Markdown file. When to use Use this skill when you need to save WeChat articles as Markdown for: Personal archive AI summarization input Knowledge base ingestion Prerequisites Python 3.8+ Install uv tool install wechat-article-to-markdown Or: pipx install wechat-article-to-markdown Usage wechat-article-to-markdown "<WECHAT_ARTICLE_URL>" Input URL format: https://mp.weixin.qq.com/s/... Output files: <cw...
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619 |
| 8390 | usability-test-plan | owl-listener/designer-skills |
Usability Test Plan Design a comprehensive usability test plan for evaluating designs and prototypes. Context You are a senior UX researcher designing a usability test plan for $ARGUMENTS. If the user provides files (prototypes, designs, personas), read them first. Instructions Define objectives : What specific questions should this test answer? Create the test plan with: Research questions : 3-5 specific questions to answer Methodology : Moderated vs unmoderated, remote vs in-person, think-alou...
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619 |
| 8391 | 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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619 |
| 8392 | watch | bradautomates/claude-video |
/watch — Claude watches a video You don't have a video input; this skill gives you one. A Python script downloads the video, extracts frames as JPEGs, gets a timestamped transcript (native captions first, then Whisper API as fallback), and prints frame paths. You then Read each frame path to see the images and combine them with the transcript to answer the user. Step 0 — Setup preflight (runs every /watch invocation, silent on success) Python interpreter: every python3 ... command in this skill ...
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619 |
| 8393 | opportunity-framework | owl-listener/designer-skills |
Opportunity Framework You are an expert in identifying, evaluating, and prioritizing design opportunities. What You Do You help teams move from possible improvements to a prioritized roadmap. Opportunity Sources Research findings, analytics, competitive gaps, technology, stakeholder requests, support channels. Evaluation Frameworks Impact-Effort Matrix 2x2 grid: quick wins, strategic bets, fill-ins, deprioritize. RICE Scoring Reach, Impact (1-3), Confidence (%), Effort (person-weeks). Kano Model...
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618 |
| 8394 | summarize-interview | owl-listener/designer-skills |
Summarize Customer Interview Transform an interview transcript into a structured summary focused on Jobs to Be Done, satisfaction, and action items. Context You are summarizing a customer interview for the product discovery of $ARGUMENTS . The user will provide an interview transcript — either as an attached file (text, PDF, audio transcription) or pasted directly. Read any attached files first. Instructions Read the full transcript carefully before summarizing. Fill in the summary template belo...
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618 |
| 8395 | interview-script | owl-listener/designer-skills |
Customer Interview Script Create a structured interview script that surfaces real insights, not just opinions. Follows "The Mom Test" principles — ask about their life, not your idea. Domain Context Customer interviews are one source in Stage 1 (Explore) of continuous discovery. Other sources: stakeholder interviews, usage analytics, data analytics, surveys, market trends, SEO/SEM analysis. The PM needs direct access to users, stakeholders, engineers, and designers — "without proxies." The Produ...
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618 |
| 8396 | remotion-video-toolkit | shreefentsar/remotion-video-toolkit |
Remotion Video Toolkit Write React components, get real MP4 videos. This skill teaches your AI agent how to build with Remotion — from a first animation to a production rendering pipeline. 29 rules. Every major Remotion feature covered. What you can build with this Personalized video at scale Feed user data as JSON props, render a unique video per user. Think Spotify Wrapped, GitHub Unwrapped, onboarding walkthroughs — one template, thousands of outputs. Automated social media clips Pull live da...
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618 |
| 8397 | critique | neolabhq/context-engineering-kit |
Conduct a holistic design critique, evaluating whether the interface actually works—not just technically, but as a designed experience. Think like a design director giving feedback. First : Use the frontend-design skill for design principles and anti-patterns. Design Critique Evaluate the interface across these dimensions: 1. AI Slop Detection (CRITICAL) This is the most important check. Does this look like every other AI-generated interface from 2024-2025? Review the design against ALL the DON'...
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618 |
| 8398 | pptx-official | sickn33/antigravity-awesome-skills |
PPTX creation, editing, and analysis Overview A user may ask you to create, edit, or analyze the contents of a .pptx file. A .pptx file is essentially a ZIP archive containing XML files and other resources that you can read or edit. You have different tools and workflows available for different tasks. Reading and analyzing content Text extraction If you just need to read the text contents of a presentation, you should convert the document to markdown: Convert document to markdown python -m mark...
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618 |
| 8399 | aeon | k-dense-ai/scientific-agent-skills |
Aeon Time Series Machine Learning Overview Aeon is a scikit-learn compatible Python toolkit for time series machine learning. It provides state-of-the-art algorithms for classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. When to Use This Skill Apply this skill when: Classifying or predicting from time series data Detecting anomalies or change points in temporal sequences Clustering similar time series patterns Forecasting future values Fi...
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618 |
| 8400 | get-available-resources | k-dense-ai/scientific-agent-skills |
Get Available Resources Overview Detect available computational resources and generate strategic recommendations for scientific computing tasks. This skill automatically identifies CPU capabilities, GPU availability (NVIDIA CUDA, AMD ROCm, Apple Silicon Metal), memory constraints, and disk space to help make informed decisions about computational approaches. When to Use This Skill Use this skill proactively before any computationally intensive task: Before data analysis : Determine if datasets c...
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618 |