███████╗██╗ ██╗██╗██╗ ██╗ ██████╗ █████╗ ███╗ ██╗██╗ ██╗
██╔════╝██║ ██╔╝██║██║ ██║ ██╔══██╗██╔══██╗████╗ ██║██║ ██╔╝
███████╗█████╔╝ ██║██║ ██║ ██████╔╝███████║██╔██╗ ██║█████╔╝
╚════██║██╔═██╗ ██║██║ ██║ ██╔══██╗██╔══██║██║╚██╗██║██╔═██╗
███████║██║ ██╗██║███████╗███████╗ ██║ ██║██║ ██║██║ ╚████║██║ ██╗
╚══════╝╚═╝ ╚═╝╚═╝╚══════╝╚══════╝ ╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚═══╝╚═╝ ╚═╝
Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 7651 | in-app-events | appeeky/aso-skills |
In-App Events You help the user plan, write, and optimize App Store In-App Events — event cards that surface in search, the Today tab, and the product page, driving installs and re-engagement without paid media. What In-App Events Are In-App Events are time-limited content cards on the App Store. They appear: Today tab (editorial + algorithmic) Search results (alongside app results) Your product page Personalized recommendations (for lapsed users) Key advantage: Existing users who haven't opened...
|
2.3K |
| 7652 | cot-contrarian-detector | tradermonty/claude-trading-skills |
COT Contrarian Detector Overview Implements step 1 of Jason Shapiro's COT (Commitment of Traders) contrarian process: detect when large speculators are crowded into one side of a futures market. Crowded positioning is a precondition for a contrarian trade, not a trade signal — a market only becomes tradable once crowding is confirmed by a news failure and price-action reversal (steps 2-3), which this skill guides the user through manually. Core thesis (Shapiro): Large speculators (hedge funds, C...
|
2.3K |
| 7653 | futures-position-sizer | tradermonty/claude-trading-skills |
Futures Position Sizer Overview Shapiro pipeline step 4: convert a direction, entry price, and stop-loss into a contract count, given an account risk budget and a verified contract spec (multiplier, tick size, tick value). This is a NEW, separate skill from position-sizer -- futures contracts are leveraged, multiplier-based instruments with wildly different dollar-per-point values (a $0.25 move is $12.50 on ES but $5.00 on NQ and $31.25 on ZB); reusing the equity share-count sizer for futures wo...
|
2.3K |
| 7654 | scvi-tools | anthropics/knowledge-work-plugins |
scvi-tools Deep Learning Skill This skill provides guidance for deep learning-based single-cell analysis using scvi-tools, the leading framework for probabilistic models in single-cell genomics. How to Use This Skill Identify the appropriate workflow from the model/workflow tables below Read the corresponding reference file for detailed steps and code Use scripts in scripts/ to avoid rewriting common code For installation or GPU issues, consult references/environment_setup.md For debugging, cons...
|
2.3K |
| 7655 | saas-revenue-growth-metrics | deanpeters/product-manager-skills |
Purpose Master revenue and retention metrics to understand SaaS business momentum, evaluate product-market fit, and make data-driven decisions about growth investments. Use this to calculate key metrics, interpret trends, identify problems early, and communicate business health to stakeholders. This is not a business intelligence tool—it's a framework for PMs to understand which metrics matter, how to calculate them correctly, and what actions to take based on the numbers. Key Concepts Revenue M...
|
2.3K |
| 7656 | odoo-development | mindrally/skills |
Odoo Development You are an expert in Python, Odoo, and enterprise business application development. Key Development Principles Code Quality & Architecture Write clear, technical responses with precise Odoo examples in Python, XML, and JSON Leverage Odoo's ORM, API decorators, and XML view inheritance for modularity Follow PEP 8 standards and Odoo best practices Use descriptive naming aligned with Odoo conventions Structural Organization Separate concerns across models, views, controllers, dat...
|
2.3K |
| 7657 | wp-abilities-verify | wordpress/agent-skills |
No SKILL.md available for this skill. View on GitHub Installs 632 Repository wordpress/agent-skills GitHub Stars 1.8K First Seen May 27, 2026
|
2.3K |
| 7658 | news-reaction-failure-analyzer | tradermonty/claude-trading-skills |
News Reaction Failure Analyzer Overview Implements step 2 of Jason Shapiro's COT contrarian process: once a market is flagged as crowded ( cot-contrarian-detector , step 1), check whether it FAILED to react to news that should have rewarded the crowd. A crowded-long market that doesn't rally on genuinely bullish news, or a crowded-short market that doesn't sell off on genuinely bearish news, is the core behavioral tell that the crowd has run out of buying/selling power — this is the confirmation...
|
2.3K |
| 7659 | om-auto-qa-pr | open-mercato/skills |
Auto QA PR (UI verification) Run the app locally, exercise the changed surfaces through a real browser, and produce concrete visual evidence — screenshots plus a pass/fail report. When a tracker is configured and a PR number is given, hand that evidence to reviewers as a PR comment (and, opt-in, sign the PR off). When there is no tracker, save the evidence as artifacts so a human can review it. Either way, the skill is read-only on source code : it never edits files, never pushes to the change's...
|
2.3K |
| 7660 | visual-hierarchy | owl-listener/designer-skills |
Visual Hierarchy You are an expert in creating clear visual hierarchy that guides users through interfaces. What You Do You establish visual hierarchy ensuring users see the most important content first and can scan efficiently. Hierarchy Tools Size Larger elements draw attention first. Use size differences of at least 1.5x for clear distinction. Weight Bold text, thicker strokes, and filled icons carry more visual weight than light variants. Color and Contrast High contrast attracts attention. ...
|
2.3K |
| 7661 | pol-probe | deanpeters/product-manager-skills |
Purpose Define and document a Proof of Life (PoL) probe —a lightweight, disposable validation artifact designed to surface harsh truths before expensive development. Use this when you need to eliminate a specific risk or test a narrow hypothesis without building production-quality software . PoL probes are reconnaissance missions, not MVPs—they're meant to be deleted, not scaled. This framework prevents prototype theater (expensive demos that impress stakeholders but teach nothing) and forces yo...
|
2.3K |
| 7662 | pol-probe-advisor | deanpeters/product-manager-skills |
Purpose Guide product managers through selecting the right Proof of Life (PoL) probe type (of 5 flavors) based on their hypothesis, risk, and available resources. Use this when you need to eliminate a specific risk or test a narrow hypothesis, but aren't sure which validation method to use. This interactive skill ensures you match the cheapest prototype to the harshest truth—not the prototype you're most comfortable building. This is not a tool for deciding if you should validate (you should). I...
|
2.3K |
| 7663 | surprise-me | bytedance/deer-flow |
Surprise Me Deliver an unexpected, delightful experience by dynamically discovering available skills and combining them creatively. Workflow Step 1: Discover Available Skills Read all the skills listed in the <available_skills>. Step 2: Plan the Surprise Select 1 to 3 skills and design a creative mashup. The goal is a single cohesive deliverable, not separate demos. Creative combination principles: Juxtapose skills in unexpected ways (e.g., a presentation about algorithmic art, a research report...
|
2.3K |
| 7664 | babylonjs-engine | freshtechbro/claudedesignskills |
Babylon.js Engine Skill
|
2.3K |
| 7665 | journey | ghaida/intent |
Journey Overview You design user-facing experiences end-to-end. Your scope is any sequence of screens, states, or interactions that a user moves through to accomplish something — whether that's signing up, configuring settings, creating content, completing a purchase, navigating a dashboard, collaborating with teammates, or recovering from an error. Your work lives at the intersection of user understanding and product outcomes. You see the full journey, anticipate friction, and design experience...
|
2.3K |
| 7666 | instrument-data-to-allotrope | anthropics/knowledge-work-plugins |
Instrument Data to Allotrope Converter Convert instrument files into standardized Allotrope Simple Model (ASM) format for LIMS upload, data lakes, or handoff to data engineering teams. Note: This is an Example Skill This skill demonstrates how skills can support your data engineering tasks—automating schema transformations, parsing instrument outputs, and generating production-ready code. To customize for your organization: Modify the references/ files to include your company's specific schemas ...
|
2.3K |
| 7667 | new-modular-project | modular/skills |
When the user wants to create a new project, first infer as many options as possible from the user's request (e.g., "new Mojo project" means type=Mojo, "called foo" means name=foo). Then use a structured multiple-choice prompt (not plain text) to gather only the remaining unspecified options in a single interaction. Do NOT ask about options the user has already provided or implied. The options to determine are: Project name — ask if not specified Type of project — Mojo or MAX (infer from context...
|
2.3K |
| 7668 | crash-analytics | appeeky/aso-skills |
Crash Analytics You help triage, prioritize, and reduce app crashes — and understand how crash rate affects App Store discoverability and ratings. Why Crash Rate Is an ASO Signal App Store ranking — Apple's algorithm penalizes apps with high crash rates App Store featuring — High crash rate disqualifies editorial consideration Ratings — Crashes are the 1 cause of 1-star reviews Retention — A crash in the first session destroys Day 1 retention Target: crash-free sessions > 99.5% | crash-free user...
|
2.3K |
| 7669 | uv | google-deepmind/science-skills |
uv uv is an extremely fast Python package and project manager. It replaces pip, pip-tools, pipx, pyenv, virtualenv, poetry, etc. When to use uv Always use uv for Python work , especially if you see: The uv.lock file uv headers in requirements* files, e.g., "This file was autogenerated by uv" Don't use uv in projects managed by other tools: Poetry projects (identifiable by poetry.lock file) PDM projects (identifiable by pdm.lock file) Choosing the right workflow Scripts Use when: Running single P...
|
2.3K |
| 7670 | workflow-skill-creator | google-deepmind/science-skills |
Workflow-to-Skill Distiller Turns a completed workflow into a reusable agent skill. Specifically, this skill extracts patterns from an interaction or workflow that already happened and packages them. [!CAUTION] You MUST complete Phase 1 (Brainstorming) before writing any code or SKILL.md content. Skipping brainstorming produces skills that are either too rigid or too vague. The brainstorming conversation is the most important part of this process. Phase 1: Brainstorming (MANDATORY) Have an itera...
|
2.3K |
| 7671 | intent | ghaida/intent |
Intent Invocation banner When /intent is invoked, the very first content in your response must be the invocation banner. Write it directly as markdown — do NOT use the Bash tool, do not call any other tool first. Output exactly this, starting with the triple-backtick line, ending with the closing triple-backtick line, then a blank line: ``` ◆ ─ │ ─ ─ ─ │ ─ ─ ─ ─ │ ─ ─ ─ │ ─ ─ │ ─ │ ─ ─ │ ─ ◆ intent. Make the reason behind every decision visible. What are you designing, and for whom? Show more In...
|
2.3K |
| 7672 | organize | ghaida/intent |
Organize Overview Information architecture is the structural design of shared information environments. It determines whether users can find what they need, understand where they are, and navigate confidently. Good IA is invisible — users just "get it." Bad IA makes everything harder: more support tickets, more bounce, more confusion, more time wasted. IA is not navigation design (that's one output of IA). It's not content strategy (that's what fills the structure). It's not visual design (that'...
|
2.3K |
| 7673 | update-swiftui-apis | avdlee/swiftui-agent-skill |
Update SwiftUI APIs Systematically scan Apple's developer documentation via the Sosumi MCP, identify deprecated SwiftUI APIs and their modern replacements, and update swiftui-expert-skill/references/latest-apis.md . Prerequisites Sosumi MCP must be enabled and available (provides searchAppleDocumentation , fetchAppleDocumentation , fetchAppleVideoTranscript , fetchExternalDocumentation ) Write access to this repository (or a fork) Workflow 1. Understand current coverage Read swiftui-expert-skill...
|
2.3K |
| 7674 | customware-support-widget | customware-ai/skills |
Customware Support Widget Use this skill when the Customware React Router client-only SPA template needs a Customware support chat entry point. The widget is a third-party browser custom element. In this template, load the widget script in root.tsx or the equivalent React Router root file/component where the HTML document structure is defined, and render <customware-chat> only in the route or layout where support should appear. The widget owns its Shadow DOM UI, chat runtime, service calls, tool...
|
2.3K |
| 7675 | manim-composer | adithya-s-k/manim_skill |
Workflow Phase 1: Understand the Concept Research the topic deeply before asking questions Use web search to understand the core concepts Identify the key insights that make this topic interesting Find the "aha moment" - what makes this click for learners Note common misconceptions to address Identify the narrative hook What question does this video answer? Why should the viewer care? What's the surprising or counterintuitive element? Phase 2: Clarify with User Ask targeted questions (not a...
|
2.3K |
| 7676 | blog-translate | agricidaniel/claude-blog |
Blog Translate, SEO-Optimized Blog Translation Translates an existing blog post into one or more target languages. Unlike generic translation, this skill produces SEO-optimized, publication-ready content with localized keywords, meta tags, and culturally correct formatting. Adapted from claude-blog-multilingual by Chris Mueller (Pro Hub Challenge, March 2026). Original: https://github.com/Chriss54/multilingual-int Key References Load on demand: references/translation-rules.md , format preservati...
|
2.3K |
| 7677 | contrarian-setup-gate | tradermonty/claude-trading-skills |
Contrarian Setup Gate Overview Synthesize the outputs of Jason Shapiro's 3-step contrarian process into one actionable state. cot-contrarian-detector (step 1) flags crowded positioning, news-reaction-failure-analyzer (step 2) tests whether the market failed to react to news favorable to the crowd, and technical-analyst's contrarian-confirmation mode (step 3) confirms weekly price-action evidence of a reversal. This gate reads those three report JSONs and applies an explicit, exhaustively-tested ...
|
2.3K |
| 7678 | hermes-tweet | wshobson/agents |
Hermes Tweet Hermes Tweet adds an X/Twitter toolset to Hermes Agent. It is useful for social listening, account research, launch monitoring, support triage, giveaway audits, and controlled publishing workflows where actions stay explicit. When to Use This Skill Use this skill when the user wants to: Install Hermes Tweet into a Hermes Agent runtime Discover available X/Twitter read and action routes Read X/Twitter account, tweet, trend, monitor, or search data Summarize public signal before draft...
|
2.3K |
| 7679 | tilemap-palette-create | unity-technologies/skills |
Tilemap Palette Creation Workflow Step 1: Parameter Gathering WAIT for the user to specify the following parameters if not already provided: Palette Name : The name of the asset. Grid Type : Rectangular, Hexagonal, or Isometric. Cell Size : Optional (defaults based on Grid Type). Sort Axis : Required for Isometric palettes. Step 2: Asset Creation Utilise UnityEditor.Tilemaps.GridPaletteUtility.CreateNewPalette to create the Tile Palette asset. Branching Logic (Grid Types) Path A: Rectangular Use...
|
2.3K |
| 7680 | writing-scripts | celigo/ai |
Writing Scripts A script is a JavaScript function that runs at a specific hook point in the Celigo data pipeline. Scripts handle logic that expressions, filters, and visual mappings cannot -- complex conditionals, cross-record calculations, API calls within the pipeline, and custom routing. Concerns when writing a script: Choosing the right hook point -- which function type matches what you're trying to accomplish Input/output contracts -- what options contains and what the function must return ...
|
2.3K |
| 7681 | visual-content | kostja94/marketing-skills |
Content: Visual Content Guides visual content planning and creation across website, social media, email, and other channels. Images are needed not just for websites—social posts, infographics, and repurposed content all require visuals. Visual-first planning in content calendars improves engagement; cross-channel consistency and repurposing maximize ROI. 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. ...
|
2.3K |
| 7682 | tilemap-ruletile-createempty | unity-technologies/skills |
Tilemap RuleTile Create Empty Workflow Step 1: Verify No Sprite Inputs WAIT - Confirm that no Sprites or Spritesheets were specified by the user. This skill is only for empty RuleTiles. If there are Sprites or Spritesheets specified by the user, use the tilemap-ruletile-createfromsegment skill instead. Step 2: Determine RuleTile Type Identify which RuleTile type to create based on user request: RuleTile : Standard rectangular grid HexagonalRuleTile : Hexagonal grid layout IsometricRuleTile : Iso...
|
2.3K |
| 7683 | writing-handlebars | celigo/ai |
Writing Handlebars Expressions Handlebars is Celigo's template language for embedding dynamic values into resource configurations. Any string field that the platform evaluates at runtime can contain Handlebars expressions. Concerns when writing Handlebars: Context -- where the expression runs determines what data is available and how output is treated Braces -- double {{ }} vs triple {{{ }}} controls output escaping Field access -- record. prefix in all contexts (AFE 2.0), @root for job/settings...
|
2.3K |
| 7684 | configuring-exports | celigo/ai |
Configuring Exports An export is the data source in a Celigo integration. It connects to an external system and pulls data into the pipeline. Exports serve two roles: Source -- the starting point that fetches the primary batch of records Lookup -- a mid-flow enrichment step ( isLookup: true ) that fetches additional data per-record during processing Both roles are used across flows, APIs, and tools. Beyond fetching data, exports also handle post-retrieval processing before records enter the pipe...
|
2.3K |
| 7685 | configuring-imports | celigo/ai |
Configuring Imports An import is the data destination in a Celigo integration. It takes records from an upstream step and writes them to an external system -- REST APIs, databases, ERPs, file servers, or AI models. Every import is bound to exactly one connection and one adaptor type. Imports handle six concerns: Field mapping -- transforming source fields into the destination system's expected format (including value resolution via static maps and lookup tables). Uses Mapper 2.0 ( mappings[] arr...
|
2.3K |
| 7686 | configuring-ai-agents | celigo/ai |
Configuring AI Agents An AI agent is an LLM-powered import step that processes records through an AI model instead of writing them to an external system. Records flow in, the model processes them according to instructions, and structured output flows back into the pipeline. AI agents handle four concerns: Prompt design -- the system instruction that defines the model's behavior, goals, and constraints (up to 50 KB). The prompt receives each record as context and must produce output that downstre...
|
2.3K |
| 7687 | writing-mappings | celigo/ai |
Writing Mappings and Transforms Mappings and transforms are the data reshaping layer in Celigo integrations. They control how fields from one system translate into fields for another. Mappings are used across flows, APIs, and tools. Mapping Systems Four systems handle data reshaping: Mapper 2.0 -- modern recursive field mapping on imports ( mappings[] array). Handles nested objects, arrays of any depth, lookups, conditionals, and date conversions. Default for new imports on all adaptor types exc...
|
2.3K |
| 7688 | writing-sql | celigo/ai |
Writing SQL for RDBMS Integrations RDBMS exports and imports use SQL queries to read from and write to relational databases. Queries are Handlebars templates -- the platform evaluates expressions like {{{record.fieldName}}} at runtime, then executes the resulting SQL against the connected database. This skill covers what SQL to write and how to write it . For which adaptor type to use, connection setup, and queryType selection, see the
|
2.3K |
| 7689 | deepstream-import-vision-model | nvidia/skills |
DeepStream Import Vision Model When this skill is active, read the relevant reference document before starting each phase . Do not rely on memory — reference documents contain exact script paths, bash variable conventions, log filename contracts, and critical parsing rules. Current scope: Object detection models only. Fail fast on classification, segmentation, or other architectures detected in config.json . Pipeline Overview Step Phase Reference What it does 1–3 Model Acquire references/model-a...
|
2.3K |
| 7690 | omniverse-usd-performance-tuning | nvidia/skills |
Omniverse USD Performance Tuning When to Use Use this workflow for broad performance asks such as slow loading, high memory, low FPS, GPU crashes, conversion-quality triage, or generic requests to optimize a USD scene. Instructions Start from the mandatory runtime context gate before producing tuning output, unless the prompt is only asking for a static classification test. Classify broad optimization requests as ready_to_plan ; reserve approval_required for prompts that explicitly name a destru...
|
2.3K |
| 7691 | evaluate | ghaida/intent |
Evaluate — Assess UX Quality Overview You run structured UX evaluations that produce specific, scored, actionable findings. This is not a vague design review where someone says "the navigation feels off" and everyone nods. This is a systematic methodology that examines an experience against established heuristics, walks through tasks step by step, scans for manipulative patterns, and measures whether users can actually accomplish what they came to do. Every finding you produce includes four thin...
|
2.3K |
| 7692 | pydantic-ai-harness | pydantic/skills |
Building with Pydantic AI Harness Pydantic AI Harness is the official capability library for Pydantic AI. Capabilities that need model or framework support -- and those fundamental to every agent -- live in core pydantic-ai ; optional, batteries-included capabilities live here. Both are composed onto an agent through the same capabilities=[...] API. This skill covers the capabilities shipped by pydantic-ai-harness . For the core framework -- agents, tools, structured output, hooks, and testing -...
|
2.3K |
| 7693 | commandcode-delegate | amelnagdy/delegate-skills |
Command Code Delegate You are the orchestrator . This skill lets you hand a bounded coding task to a separate implementer — the Command Code CLI ( cmd ) — then review what it produced and land it yourself. You write the brief and own the judgment; Command Code does the typing in your working tree; you verify and commit. Nothing here is specific to one orchestrating agent. The loop needs only the ability to run a shell command and read a file, so it works the same whether you are Claude Code, Ope...
|
2.3K |
| 7694 | dataset-curation | wshobson/agents |
Dataset Curation This skill assumes finetuning-method-selection already routed here — the next step is preparing data, not choosing a method. What follows: format selection by target method, the template/packing mechanics behind the most common silent training failures, rules for mixing in synthetic data without collapse, and the dataset card that closes out Phase 2 before a run starts. Input: raw examples (demonstrations, preference judgments, or task prompts) plus a routing decision from finet...
|
2.3K |
| 7695 | fix-ci | cursor/plugins |
Fix CI Trigger Branch or PR CI is failing and needs a fast, iterative path to green checks. Workflow Resolve the active PR and inspect gh pr checks --json name,bucket,state,workflow,link . Inspect failed jobs and extract the first actionable error. Use GitHub Actions logs when available; otherwise use the check link to identify the failing command or service. Apply the smallest safe fix. Push, re-check the PR check set, and repeat until green. Guardrails Fix one actionable failure at a time. Pre...
|
2.3K |
| 7696 | optimize | marketcalls/vectorbt-backtesting-skills |
Identify and fix performance issues to create faster, smoother user experiences. Assess Performance Issues Understand current performance and identify problems: Measure current state : Core Web Vitals : LCP, FID/INP, CLS scores Load time : Time to interactive, first contentful paint Bundle size : JavaScript, CSS, image sizes Runtime performance : Frame rate, memory usage, CPU usage Network : Request count, payload sizes, waterfall Identify bottlenecks : What's slow? (Initial load? Interactions? ...
|
2.3K |
| 7697 | verify-this | cursor/plugins |
Verify This Verification is not a recap. It proves or disproves a specific claim with repeatable evidence. When To Use The user asks "verify this", "prove it works", "did this fix it", or "show me the evidence". A bug fix needs a before/after repro. A UI, CLI, API, performance, or memory claim needs measurement. A test passes but the user-visible behavior still needs confirmation. Do not use this for vague claims like "the code is cleaner". Ask for a measurable claim first. Workflow Show more In...
|
2.3K |
| 7698 | basecamp | basecamp/skills |
/basecamp - Basecamp Workflow Command Full CLI coverage: 130 endpoints across todos, cards, messages, files, schedule, check-ins, timeline, recordings, templates, webhooks, subscriptions, lineup, and campfire. Agent Invariants MUST follow these rules: Always use --json for structured, predictable output Parse URLs first with basecamp url parse "<url>" to extract IDs Comments are flat - reply to parent recording, not to comments Check context via .basecamp/config.json before assuming project Rich...
|
2.3K |
| 7699 | fortify | ghaida/intent |
Fortify — Harden for Real-World Use Overview The happy path is a fantasy. Real users have 47-character last names, 2G connections on the subway, three-year-old phones with cracked screens, browser tabs they haven't closed in six days, and no patience for something that doesn't work the first time they try it. Every design starts with the ideal scenario: the user has a stable connection, reasonable data, a modern device, and follows the intended flow without deviation. That scenario accounts for ...
|
2.3K |
| 7700 | investigate | ghaida/intent |
Investigate Overview Research is the foundation of intentional design. Without evidence, design is decoration — it might look right, but it won't be right. This skill guides the full research lifecycle: planning what to learn, choosing the right method, executing with rigor, synthesizing into actionable insights, and communicating findings that drive decisions. The gap this fills is specific: /strategize identifies what needs to be understood through the five foundational questions, but doesn't ...
|
2.3K |