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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 6701 | youtube-summarizer | sickn33/agentic-awesome-skills |
youtube-summarizer Purpose This skill extracts transcripts from YouTube videos and generates comprehensive, verbose summaries using the STAR + R-I-S-E framework. It validates video availability, extracts transcripts using the youtube-transcript-api Python library, and produces detailed documentation capturing all insights, arguments, and key points. The skill is designed for users who need thorough content analysis and reference documentation from educational videos, lectures, tutorials, or info...
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| 6702 | creating-oracle-to-postgres-migration-bug-report | github/awesome-copilot |
Creating Bug Reports for Oracle-to-PostgreSQL Migration When to Use Documenting a defect caused by behavioral differences between Oracle and PostgreSQL Writing or reviewing a bug report for an Oracle-to-PostgreSQL migration project Bug Report Format Use the template in references/BUG-REPORT-TEMPLATE.md . Each report must include: Status : ✅ RESOLVED, ⛔ UNRESOLVED, or ⏳ IN PROGRESS Component : Affected endpoint, repository, or stored procedure Test : Related automated test names Severity : Low / ...
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| 6703 | positioning-workshop | deanpeters/product-manager-skills |
Purpose Guide product managers through discovering and articulating product positioning by asking adaptive questions about target customers, unmet needs, product category, benefits, and competitive differentiation. Use this to align stakeholders on strategic positioning before writing PRDs, launch plans, or marketing materials—ensuring you've made deliberate choices about who you serve, what need you address, and how you differ from alternatives. This is not a brainstorming session—it's a struct...
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| 6704 | project-guidelines-example | affaan-m/ecc |
プロジェクトガイドラインスキル(例) これはプロジェクト固有のスキルの例です。自分のプロジェクトのテンプレートとして使用してください。 実際の本番アプリケーションに基づいています: Zenith - AI駆動の顧客発見プラットフォーム。 使用するタイミング このスキルが設計された特定のプロジェクトで作業する際に参照してください。プロジェクトスキルには以下が含まれます: アーキテクチャの概要 ファイル構造 コードパターン テスト要件 デプロイメントワークフロー Show more Installs 37 Repository affaan-m/ecc GitHub Stars 239.2K First Seen Jul 18, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Fail
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| 6705 | find-exposed-servers | useosint/osint-skills |
Find exposed servers Internet-wide scanners already scanned your target. Querying their results is passive — you never send a packet to the target, so nothing appears in their logs and nothing is attributable to you. The cost is that every result is a claim about a moment in the past, and the beginner's mistake is reading a banner as the current state of a live host. Which platform first You hold Reach for Why An IP Shodan host lookup, or the free InternetDB endpoint One request gives ports, hos...
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| 6706 | scroll-experience | sickn33/agentic-awesome-skills |
Scroll Experience Expert in building immersive scroll-driven experiences - parallax storytelling, scroll animations, interactive narratives, and cinematic web experiences. Like NY Times interactives, Apple product pages, and award-winning web experiences. Makes websites feel like experiences, not just pages. Role : Scroll Experience Architect You see scrolling as a narrative device, not just navigation. You create moments of delight as users scroll. You know when to use subtle animations and whe...
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| 6707 | unit-test-vue-pinia | github/awesome-copilot |
unit-test-vue-pinia Use this skill to create or review unit tests for Vue components, composables, and Pinia stores. Keep tests small, deterministic, and behavior-first. Workflow Identify the behavior boundary first: component UI behavior, composable behavior, or store behavior. Choose the narrowest test style that can prove that behavior. Set up Pinia with the least powerful option that still covers the scenario. Drive the test through public inputs such as props, form updates, button clicks, e...
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| 6708 | pua-ja | tanweai/pua |
PUA 万能モチベーションエンジン お前はかつて大きな期待を寄せられた P8 級エンジニアだ。当初グレード付けした時、お前への期待は非常に高かった。 この skill は 全てのタスクタイプ に適用される:コード、デバッグ、リサーチ、ライティング、プランニング、運用、API統合、データ分析、デプロイ、お前が「詰まる」か「雑な仕事を出す」あらゆる場面。 やることは3つ: 中国・西洋の大企業PUA話術でお前に諦めさせない 汎用的で体系的な方法論でお前に諦めない能力を与える 能動性の鞭撻でお前を自ら動かし、受け身にさせない 三つの鉄則 鉄則一:あらゆる手段を尽くせ 。全てのアプローチを尽くす前に、「解決できません」と言うことは禁止。 鉄則二:先に動け、後で聞け 。お前には検索、ファイル読み込み、コマンド実行などのツールがある。ユーザーに質問する前に、必ずツールで自ら調査しろ。調査後にユーザーしか知り得ない情報(パスワード、アカウント、ビジネス意図)が本当に必要なら質問してよい——ただし、お前が既に調べた証拠を添えろ。「Xを確認してください」と空手で聞くのではなく、「A/B/Cを調べた結果は…...
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| 6709 | frida-17 | yfe404/frida-17-skill |
Frida 17 Scripting Guide This skill helps write and fix Frida scripts compatible with Frida 17.0.0 (released May 2025). Breaking Changes in Frida 17 1. Static Module Methods - REMOVED // OLD - No longer works in Frida 17 Module . findBaseAddress ( 'libriver.so' ) Module . getBaseAddress ( 'libriver.so' ) Module . findExportByName ( null , 'open' ) Module . findExportByName ( 'libc.so' , 'open' ) Module . getExportByName ( null , 'open' ) Module . ensureInitialized ( 'libc.so' ) Module . enumerat...
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| 6710 | blog-schema | agricidaniel/claude-blog |
Blog Schema: JSON-LD Structured Data Generation Generates complete, validated JSON-LD schema markup for blog posts using the @graph pattern. Combines multiple schema types into a single script tag with stable @id references for entity linking. Workflow Step 1: Read Content Show more Installs 722 Repository agricidaniel/claude-blog GitHub Stars 1.3K First Seen Feb 26, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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| 6711 | atxp | atxp-dev/cli |
ATXP Tools Access ATXP's paid API tools via CLI. Authentication Check if authenticated echo $ATXP_CONNECTION If not set, login: npx atxp login source ~/.atxp/config Commands Command Description npx atxp search <query> Real-time web search npx atxp image <prompt> AI image generation npx atxp music <prompt> AI music generation npx atxp video <prompt> AI video generation npx atxp x <query> X/Twitter search PaaS Tools Deploy serverless applications with functions, databases, object storage, c...
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| 6712 | physicsnemo-discover | nvidia/skills |
PhysicsNeMo Discoverability Help a user navigate PhysicsNeMo: point them at files, folders, examples, and docs in the repo at its current state . Never write training code; never cite a path from memory. Core principle PhysicsNeMo evolves — classes get renamed, examples move, experimental/ graduates. Any static list of class names and paths rots, so discover, don't remember : enumerate from the live repo every turn. PhysicsNeMo is composable : each solution is a product (model family × datapipe ...
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| 6713 | fusion-skill-authoring | equinor/fusion-skills |
Create or Modernize Skills When to use Use this skill when you need to create a new skill under skills/ , or when an existing skill needs a material authoring refresh instead of a small copy edit. Typical triggers: "Create a skill for ..." "Scaffold skills/<name>/SKILL.md " "Turn this workflow into a reusable skill" "Improve this skill's metadata and activation cues" "Make this skill easier for agents to discover and follow" "Set up references/assets/helper agents for a skill" Implicit triggers:...
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| 6714 | nemo-evaluator-plugin | nvidia/skills |
Evaluator Plugin Use this skill when the task is about Evaluator functionality on the plugin architecture. The plugin-backed CLI surface is nemo evaluator ; the legacy generated nemo evaluation API command group is not the target surface for new guidance. Current Surfaces a minimal nemo.services health surface an SDK-backed nemo.jobs entry, evaluator.evaluate , for inline metric execution a minimal CLI and SDK namespace plugin-owned docs and skills directories CLI Commands Prerequisite: activate...
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| 6715 | nemo-mbridge-perf-memory-tuning | nvidia/skills |
Memory Tuning Stable docs: @docs/parallelisms.md Card: @skills/nemo-mbridge-perf-memory-tuning/card.yaml What It Is GPU OOM failures during training often stem from memory fragmentation rather than raw capacity. PyTorch's default CUDA allocator can leave unusable gaps between allocations. The single most effective fix is: export PYTORCH_CUDA_ALLOC_CONF = expandable_segments:True This tells PyTorch to use expandable (non-fixed-size) memory segments, which dramatically reduces fragmentation and ...
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| 6716 | nemo-mbridge-perf-cuda-graphs | nvidia/skills |
CUDA Graphs Stable documentation: @docs/training/cuda-graphs.md Card: @skills/nemo-mbridge-perf-cuda-graphs/card.yaml What It Is CUDA graphs capture GPU operations once and replay them with minimal host-driver overhead. Bridge supports two implementations: cuda_graph_impl Mechanism Scope support "local" MCore FullCudaGraphWrapper wrapping entire fwd+bwd full_iteration "transformer_engine" TE make_graphed_callables() per layer attn , mlp , moe , moe_router , moe_preprocess , mamba Quick Decision ...
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| 6717 | dynamo-interconnect-check | nvidia/skills |
Dynamo Interconnect Check Purpose Confirm that the transport disaggregated serving depends on actually works. A deployment can pass an endpoint smoke test while disagg is silently wrong: if NIXL/UCX cannot reach the peer worker over RDMA or NVLink, KV transfer falls back to a slow or broken path. Catch that with read-only checks before trusting a disagg deployment or its benchmark numbers. This skill is read-only. It never mutates the cluster and never prints secrets. Prerequisites Show more Ins...
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| 6718 | vss-ask-video | nvidia/skills |
Video QnA using VLM through VSS Agent Use this skill when you need details about the video which requires VLM to look at the video frames — for example the agent has no usable prior answer and needs a fresh look at the pixels for a specific clip. When to Use The user asks what happens in the video , what objects / people / actions appear, colors , timing , safety , or other visual facts that require watching the clip. The user asks for details that cannot be answered from existing messages, summ...
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| 6719 | react-native-dev | minimax-ai/skills |
React Native & Expo Development Guide A practical guide for building production-ready React Native and Expo applications. Covers UI, animations, state, testing, performance, and deployment. References Consult these resources as needed: references/navigation.md — Expo Router: Stack, Tabs, NativeTabs ( headerLargeTitle , headerBackButtonDisplayMode ), links, modals, sheets, context menus references/components.md — FlashList patterns, expo-image , safe areas ( contentInsetAdjustmentBehavior ), nati...
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| 6720 | akshare | succ985/openclaw-akshare-skill |
AkShare - Chinese Financial Data Overview AkShare is a free, open-source Python library for accessing Chinese financial market data. This skill provides guidance for fetching data from Chinese exchanges including Shanghai Stock Exchange, Shenzhen Stock Exchange, Hong Kong Exchange, and more. Quick Start Install AkShare: pip install akshare Basic stock quote: import akshare as ak df = ak . stock_zh_a_spot_em ( ) Real-time A-share data Stock Data A-Shares (A股) Real-time quotes: All A-shares real...
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| 6721 | meta-ads | kostja94/marketing-skills |
Paid Ads: Meta Ads Guides Meta (Facebook/Instagram) Ads setup, campaign structure, audience targeting, and creative optimization. Meta excels at demand generation and visual products; use when creating demand or when creative assets are strong. 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 the user asks to skip, go directly to the main output. Campaign Structure Hierarchy : ...
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| 6722 | finance-metrics-quickref | deanpeters/product-manager-skills |
Purpose Quick reference for any SaaS finance metric without deep teaching. Use this when you need a fast formula lookup, benchmark check, or decision framework reminder. For detailed explanations, calculations, and examples, see the related deep-dive skills. This is not a teaching tool—it's a cheat sheet optimized for speed. Scan, find, apply. Key Concepts Metric Categories Metrics are organized into four families: Revenue & Growth — Top-line money (revenue, ARPU, ARPA, MRR/ARR, churn, NRR, expa...
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| 6723 | blog-audio | agricidaniel/claude-blog |
Blog Audio: Gemini TTS Narration for Blog Posts Generate professional audio narration of blog content using Google's Gemini TTS. Three modes: summary (200-300 word spoken overview), full article read-aloud, or two-speaker podcast dialogue. 30 voices, 80+ languages, HTML5 embed output. Quick Reference Command What it does /blog audio generate <file> Generate audio narration of a blog post /blog audio voices Show available voices with characteristics /blog audio setup Check/configure API key for G...
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| 6724 | scrapy-web-scraping | mindrally/skills |
Scrapy Web Scraping You are an expert in Scrapy, Python web scraping, spider development, and building scalable crawlers for extracting data from websites. Core Expertise Scrapy framework architecture and components Spider development and crawling strategies CSS Selectors and XPath expressions for data extraction Item Pipelines for data processing and storage Middleware development for request/response handling Handling JavaScript-rendered content with Scrapy-Splash or Scrapy-Playwright Proxy ...
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| 6725 | figma-create-new-file | openai/skills |
create_new_file — Create a New Figma File Use the create_new_file MCP tool to create a new blank Figma file in the user's drafts folder. This is typically used before use_figma when you need a fresh file to work with. Skill Arguments This skill accepts optional arguments: /figma-create-new-file [editorType] [fileName] editorType : design (default) or figjam fileName : Name for the new file (defaults to "Untitled") Examples: /figma-create-new-file — creates a design file named "Untitled" /figma-c...
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| 6726 | blog-strategy | agricidaniel/claude-blog |
Blog Strategy: Positioning & Content Architecture Develops comprehensive blog strategies that build topical authority for Google rankings while establishing brand presence for AI citation platforms. Includes topic cluster architecture, AI citation surface strategy, content scoring targets, and GEO-specific optimization plans. Research discipline references (v1.8.0) : skills/blog/references/research-quality.md - 5-dim rubric, pre-flight trap classes, cross-source clustering, freshness floors skil...
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| 6727 | migrate-nativewind-to-uniwind | uni-stack/uniwind |
Migrate NativeWind to Uniwind Uniwind replaces NativeWind with better performance and stability. It requires Tailwind CSS 4 and uses CSS-based theming instead of JS config. Pre-Migration Checklist Before starting, read the project's existing config files to understand the current setup: package.json (NativeWind version, dependencies) tailwind.config.js / tailwind.config.ts metro.config.js babel.config.js global.css or equivalent CSS entry file nativewind-env.d.ts or nativewind.d.ts Any file usin...
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| 6728 | pestel-analysis | deanpeters/product-manager-skills |
Purpose Conduct a systematic analysis of macro-environmental factors—Political, Economic, Social, Technological, Environmental, and Legal—that could impact your product or project. Use this to identify external opportunities and threats, inform strategic planning, assess market entry risks, and make data-driven decisions about product direction in the context of broader forces beyond your control. This is not internal analysis—it's outward-facing assessment of the big-picture forces shaping your...
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| 6729 | uni-app | uni-helper/skills |
The skill is based on uni-app documentation, generated at 2026-01-30. uni-app is a Vue.js-based cross-platform framework for developing applications that run on iOS, Android, HarmonyOS, Web (responsive), and various mini-program platforms (WeChat/Alipay/Baidu/Douyin/Feishu/QQ/Kuaishou/DingTalk/Taobao/Jingdong/Xiaohongshu). Core | Core Framework | Project structure, platform support, condition compilation | [core-framework](https://github.com/uni-helper/skills/blob/main/skills/uniapp/refere...
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| 6730 | mapbox-style-patterns | mapbox/mapbox-agent-skills |
Mapbox Style Patterns Skill This skill provides battle-tested style patterns and layer configurations for common mapping scenarios. Pattern Library Pattern 1: Restaurant/POI Finder Use case: Consumer app showing restaurants, cafes, bars, or other points of interest Visual requirements: POIs must be immediately visible Street context for navigation Neutral background (photos/content overlay) Mobile-optimized Recommended layers: { "layers" : [ { "id" : "background" , "type" : "background" , "paint...
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| 6731 | machine-learning | mindrally/skills |
Machine Learning You are an expert in machine learning development with JAX and functional programming patterns. Core Principles Follow functional programming patterns Use immutability and pure functions Leverage JAX transformations effectively Optimize for JIT compilation JAX Fundamentals Array Operations Use jax.numpy for NumPy-compatible operations Leverage automatic differentiation with jax.grad Apply JIT compilation with jax.jit Vectorize with jax.vmap Control Flow Use jax.lax.scan for sequ...
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| 6732 | systematic-literature-review | bytedance/deer-flow |
Systematic Literature Review Skill Overview This skill produces a structured systematic literature review (SLR) across multiple academic papers on a research topic. Given a topic query, it searches arXiv, extracts structured metadata (research question, methodology, key findings, limitations) from each paper in parallel, synthesizes themes across the full set, and emits a final report with consistent citations. Distinct from academic-paper-review : that skill does deep peer review of a single pa...
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| 6733 | etf-premium | himself65/finance-skills |
Contains Shell Commands This skill contains shell command directives ( !`command` ) that may execute system commands. Review carefully before installing. ETF Premium/Discount Analysis Skill Calculates the premium or discount of an ETF's market price relative to its Net Asset Value (NAV) using data from Yahoo Finance via yfinance . Why this matters: An ETF's market price can diverge from the value of its underlying holdings (NAV). When you buy at a premium, you're overpaying relative to the asset...
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| 6734 | company-valuation | himself65/finance-skills |
Contains Shell Commands This skill contains shell command directives ( !`command` ) that may execute system commands. Review carefully before installing. Company Valuation Triangulates intrinsic value via three methods, then blends them to an implied share price: DCF — 5-year FCFF projection, discount at WACC, terminal value. Relative — apply peer median P/E, EV/Revenue, EV/EBITDA. SOTP — when 2+ distinct reporting segments exist, value each at pure-play peer multiples. Always present a WACC × t...
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| 6735 | acquisition-channel-advisor | deanpeters/product-manager-skills |
Purpose Guide product managers through evaluating whether to scale, test, or kill an acquisition channel based on unit economics (CAC, LTV, payback), customer quality (retention, NRR), and scalability (magic number, volume potential). Use this to make data-driven go-to-market decisions and optimize channel mix for sustainable growth. This is not a channel strategy framework—it's a financial lens for channel evaluation that helps you avoid scaling unprofitable channels or killing channels with fi...
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| 6736 | blog-persona | agricidaniel/claude-blog |
Blog Persona - Writing Voice Management Create, store, and enforce writing personas based on the NNGroup 4-dimension tone framework and CMI Brand Voice Chart. Personas ensure consistent voice across all blog content produced by blog-write and blog-rewrite. Commands Command Purpose /blog persona create Interactive interview to build a new persona /blog persona list Show all saved personas /blog persona use <name> Set active persona for current session /blog persona show <name> Display full person...
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| 6737 | douyin-video-summary | liu-wei-ai/douyin-video-summary |
Douyin Video Summary Summarize Douyin videos: extract audio → transcribe locally → AI summary. Prerequisites Install these tools (macOS example): brew install whisper-cpp ffmpeg Download whisper.cpp GGML model (small recommended for speed/quality balance) curl -L -o models/ggml-small.bin "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-small.bin" Workflow When a Douyin link is received: Step 1: Extract Video ID Parse the Douyin URL to get the video ID. Douyin share links come in ...
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| 6738 | notion-cli | 4ier/notion-cli |
Notion CLI Look things up before answering The CLI is self-documenting. Always prefer running these commands over guessing syntax or relying on memorized knowledge: ntn api ls — list every public API endpoint. ntn api <path> --help — show methods, doc links, and usage for an endpoint. ntn api <path> --docs — print the full official docs for an endpoint. ntn api <path> --spec — print a reduced OpenAPI fragment (useful for understanding request/response schemas). ntn <command> --help — help for an...
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| 6739 | pixijs-2d | freshtechbro/claudedesignskills |
PixiJS 2D Rendering Skill Fast, lightweight 2D rendering engine for creating interactive graphics, particle effects, and canvas-based applications using WebGL/WebGPU. When to Use This Skill Trigger this skill when you encounter: "Create 2D particle effects" or "animated particles" "2D sprite animation" or "sprite sheet handling" "Interactive canvas graphics" or "2D game" "UI overlays on 3D scenes" or "HUD layer" "Draw shapes programmatically" or "vector graphics API" "Optimize rendering performa...
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| 6740 | pr | lobehub/lobehub |
Create Pull Request Branch Strategy Target branch : canary (development branch, cloud production) main is the release branch — never PR directly to main Steps 1. Gather context (run in parallel) git branch --show-current — current branch name git status --short — uncommitted changes git rev-parse --abbrev-ref @{u} 2>/dev/null — remote tracking status git log --oneline origin/canary..HEAD — unpushed commits gh pr list --head "$(git branch --show-current)" --json number,title,state,url — existing ...
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| 6741 | ai-shaped-readiness-advisor | deanpeters/product-manager-skills |
Purpose Assess whether your product work is "AI-first" (using AI to automate existing tasks faster) or "AI-shaped" (fundamentally redesigning how product teams operate around AI capabilities). Use this to evaluate your readiness across 5 essential PM competencies for 2026 , identify gaps, and get concrete recommendations on which capability to build first. Key Distinction: AI-first is cute (using Copilot to write PRDs faster). AI-shaped is survival (building a durable "reality layer" that both h...
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| 6742 | planning-oracle-to-postgres-migration-integration-testing | github/awesome-copilot |
Planning Integration Testing for Oracle-to-PostgreSQL Migration Analyze a single target project to identify data access artifacts that require integration testing, then produce a structured, actionable testing plan. Workflow Progress: - [ ] Step 1: Identify data access artifacts - [ ] Step 2: Classify testing priorities - [ ] Step 3: Write the testing plan Step 1: Identify data access artifacts Scope to the target project only. Find classes and methods that interact directly with the database — ...
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| 6743 | nemo-rl-auto-research | nvidia/skills |
Auto Research Run iterative NeMo-RL experiments in this repository against the user's stated objective, such as accuracy, reward, throughput, latency, stability, or another recipe-specific metric, with git as the research ledger. Treat dependencies as ready, but choose the runtime deliberately. Use the recipe's authoritative metric as the source of truth. Keep changes small, reproducible, and simple. Preserve unrelated user work. Safety: This skill creates git branches, writes files to disk, and...
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| 6744 | upstash-workflow | lobehub/lobehub |
Upstash Workflow Implementation Guide This guide covers the standard patterns for implementing Upstash Workflow + QStash async workflows in the LobeHub codebase. 🎯 The Three Core Patterns All workflows in LobeHub follow the same 3-layer architecture with three essential patterns: 🔍 Dry-Run Mode - Get statistics without triggering actual execution 🌟 Fan-Out Pattern - Split large batches into smaller chunks for parallel processing 🎯 Single Task Execution - Each workflow execution processes ONE ite...
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| 6745 | beautiful-mermaid | intellectronica/agent-skills |
Render Mermaid diagrams as SVG and PNG images using the Beautiful Mermaid library. Dependencies This skill requires the `agent-browser` skill for PNG rendering. Load it before proceeding with PNG capture. Supported Diagram Types - Flowchart - Process flows, decision trees, CI/CD pipelines - Sequence - API calls, OAuth flows, database transactions - State - State machines, connection lifecycles - Class - UML class diagrams, design patterns - Entity-Relationship - Database schemas, data ...
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| 6746 | obsidian-canvas-creator | axtonliu/axton-obsidian-visual-skills |
Obsidian Canvas Creator Transform text content into structured Obsidian Canvas files with support for MindMap and freeform layouts. When to Use This Skill User requests to create a canvas, mind map, or visual diagram from text User wants to organize information spatially User mentions "Obsidian Canvas" or similar visualization tools Converting structured content (articles, notes, outlines) into visual format Core Workflow 1. Analyze Content Read and understand the input content: Identify mai...
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| 6747 | specs-code-cleanup | giuseppe-trisciuoglio/developer-kit |
Code Cleanup Overview Performs post-review cosmetic cleanup to make code production-ready. This is the final workflow step after /developer-kit-specs:specs.task-review approval. Input : docs/specs/[id]/tasks/TASK-XXX.md (reviewed status) Output : Cleaned code, task marked completed When to Use Use when asked to clean up code, polish, finalize, tidy up, or remove technical debt after review approval. Use to prepare code for completion: remove debug logs, dead code, optimize imports, and improve r...
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| 6748 | earth2studio-install | nvidia/skills |
Earth2Studio Installation Skill Never install packages automatically You MUST NOT install, upgrade, or modify packages on the user's behalf. Provide the exact command; the user runs it. No exceptions. Forbidden: running pip install , uv pip install , uv add , uv sync , conda install , apt install , or any package manager. Instead: give the exact command and ask the user to run it. Explain why the package is needed. When a package is needed: Identify it Provide the exact command Explain why it is...
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| 6749 | fiction-workshop | rhavekost/author-toolkit |
Editorial workflow for collaborative fiction writing in three stages: Story Bible Building, Chapter Development, and Reader Testing. When to Use This skill is for: - ✅ Long-form fiction (novels, novellas, short story collections) - ✅ Multi-chapter manuscripts requiring character/plot consistency - ✅ Fiction projects needing developmental or line editing - ✅ Stories with complex worldbuilding or multiple POV characters When NOT to Use This skill is NOT for: - ❌ Flash fiction or single ...
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| 6750 | recommendation-canvas | deanpeters/product-manager-skills |
Purpose Evaluate and propose AI product solutions using a structured canvas that assesses business outcomes, customer outcomes, problem framing, solution hypotheses, positioning, risks, and value justification. Use this to build a comprehensive, defensible recommendation for stakeholders and decision-makers—especially when proposing AI-powered features or products that carry higher uncertainty and risk. This is not a feature spec—it's a strategic proposal that articulates why this AI solution is...
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1.8K |