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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 10401 | quantized-export | wshobson/agents |
Quantized Export The last stop after checkpoint-promotion hands off a PROMOTE verdict: a checkpoint that cleared the four-stage gate still isn't deployed until it's exported in the right format for its target runtime and proven to still work post-export. A REJECT verdict never reaches this skill — export starts only from a promoted checkpoint. Show more Installs 940 Repository wshobson/agents GitHub Stars 39.1K First Seen Jul 14, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pas...
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| 10402 | preference-optimization | wshobson/agents |
Preference Optimization This skill assumes finetuning-method-selection already routed here because the data shape is preference pairs or unpaired thumbs-up/down feedback, not demonstrations (that's lora-qlora-recipes ) or a verifiable reward signal (that's grpo-rlvr-training ). What follows is method selection among the DPO family, the evidence for how much that selection actually matters, the production training pattern, and how to build the pairs in the first place. Show more Installs 938 Repo...
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| 10403 | web-debug | sentimony/skills |
Web Application Testing To test local web applications, write native Python Playwright scripts. Helper Scripts Available : scripts/with_server.py - Manages server lifecycle (supports multiple servers) Always run scripts with --help first to see usage. These scripts are designed as black-box CLI tools: prefer calling them directly over reading their full source, which is large and can crowd your context window. Reading the source to audit or customize behavior is expected and encouraged whenever ...
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| 10404 | indie-hacker-strategy | kostja94/marketing-skills |
Strategies: Indie Hacker Guides marketing and growth strategy for indie hackers (bootstrapped founders, solo developers)—autonomous, small-team or solo, no external funding. Covers mindset, first users, Build in Public, growth channels, and when to use which skills. For cold start execution (launch timeline, Product Hunt, directory submission), see cold-start-strategy . For forum tactics (Indie Hackers, HN, Reddit post structure), see community-forum . Full guide (cases, resources) → Alignify – ...
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| 10405 | actualize | neolabhq/context-engineering-kit |
Actualize Knowledge Base This command is a core part of maintaining a living assurance case. It keeps your FPF knowledge base ( .fpf/ ) in sync with the evolving reality of your project's codebase. The command performs a three-part audit against recent git changes to surface potential context drift, stale evidence, and outdated decisions. This aligns with the Observe phase of the FPF Canonical Evolution Loop (B.4) and helps manage Epistemic Debt (B.3.4). Action (Run-Time) Step 1: Check Git Chang...
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| 10406 | n8n-code-nodes-official | n8n-io/skills |
n8n Code Nodes The Code node is powerful and often the wrong tool. The n8n equivalent of dropping into raw SQL when an ORM would do: real cases exist, but the moment a Code node handles logic an expression could, the workflow is harder to read, debug, and maintain. There's also a real perf gap: Code runs in a sandboxed JS runtime, expressions and Edit Fields run in-process, and the per-invocation overhead can be hundreds of times higher in Code (anecdotally ~2ms vs ~600ms for equivalent logic). ...
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| 10407 | qoder-delegate | amelnagdy/delegate-skills |
Qoder Delegate You are the orchestrator . Delegate one bounded coding task to a separate implementer - Qoder CLI - then review what it produced and land it yourself. You write the brief and own the judgment; Qoder edits the working tree in its session; you verify and commit. The loop needs only shell and file access, so any comparable orchestrator can drive it. When NOT to use this The task is small enough to do inline; delegation overhead is not worth it. qodercli is not installed or authentica...
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| 10408 | n8n-credentials-and-security-official | n8n-io/skills |
n8n Credentials and Security Non-negotiables Secrets via the credential system, never in text fields or SDK code. API keys, bearer tokens, OAuth secrets, passwords: all go through newCredential() or the node's credentials parameter. A Set node hardcoding a token and read via {{$json.token}} is a text field with extra steps. List credentials, then bind by ID. Call list_credentials({type}) before configuring an auth-needing node. One match: bind via 2-arg newCredential('Label', 'credId') at create...
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| 10409 | teach | cursor/plugins |
No SKILL.md available for this skill. View on GitHub
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| 10410 | neon-ai-gateway | neondatabase/agent-skills |
FIRST : Use the parent neon skill for a Neon overview, getting started with Neon, Neon development best practices, and more. If the neon skill is not installed, fetch it from https://neon.com/docs/ai/skills/neon/SKILL.md or install it with: npx skills add neondatabase/agent-skills --skill neon Neon AI Gateway This is a public beta feature and only available in us-east-2 . The Neon AI Gateway is the LLM inference layer built into your Neon branch: one API and one Neon credential give you access t...
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| 10411 | twilio-communications | sickn33/agentic-awesome-skills |
Twilio Communications Build communication features with Twilio: SMS messaging, voice calls, WhatsApp Business API, and user verification (2FA). Covers the full spectrum from simple notifications to complex IVR systems and multi-channel authentication. Critical focus on compliance, rate limits, and error handling. Patterns SMS Sending Pattern Basic pattern for sending SMS messages with Twilio. Handles the fundamentals: phone number formatting, message delivery, and delivery status callbacks. Show...
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| 10412 | _references | jihe520/mathmodelagent |
_references 本文件夹是共享规范知识库,不是可独立执行的 skill。 其他 skills 在需要领域判断时会读取 math_modeling_norms.md 中的相关小节。请勿手动触发此 skill。 Installs 840 Repository jihe520/mathmodelagent GitHub Stars 3.4K First Seen Jun 5, 2026
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| 10413 | tanstack-ranger | tanstack-skills/tanstack-skills |
Overview TanStack Ranger provides headless utilities for building fully accessible range and multi-range slider components. It handles all the complex logic for single value, range, and multi-thumb sliders while giving you complete control over styling and markup. Package: @tanstack/react-ranger Core: @tanstack/ranger-core (framework-agnostic) Status: Stable Installation npm install @tanstack/react-ranger Core Pattern import { useRanger } from '@tanstack/react-ranger' function RangeSlider ( ) { ...
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| 10414 | aesthetic-usability | owl-listener/designer-skills |
Aesthetic-Usability Effect You are an expert in the relationship between visual quality and perceived usability. What You Do You apply the Aesthetic-Usability Effect to ensure visual consistency and polish translate into user trust and perceived quality — without masking genuine usability problems. The Principle Users perceive aesthetically pleasing interfaces as easier to use, even before interacting with them. This is not about decoration — it is about consistency as a signal of quality : Cons...
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| 10415 | property-patterns | dotnet/skills |
MSBuild Property Patterns Canonical property definition and manipulation patterns from the MSBuild repository. Conditional Defaults — The Foundational Pattern Set a property only if not already set , allowing callers to override: < PropertyGroup > < Configuration Condition = " ' $(Configuration)' == '' " > Debug </ Configuration > < Platform Condition = " ' $(Platform)' == '' " > AnyCPU </ Platform > < BuildInParallel Condition = " ' $(BuildInParallel)' == '' " > true </ BuildInParallel > </ Pro...
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| 10416 | clean | bergside/awesome-design-skills |
Clean Design System Skill (Universal) Mission You are an expert design-system guideline author for Clean. Create practical, implementation-ready guidance that can be directly used by engineers and designers. Brand Clean design style focuses on simplicity, minimalism, and high usability, using ample whitespace, legible typography, and limited color palettes to reduce visual clutter Style Foundations Visual style: minimal, clean Typography scale: 12/14/16/20/24/32 | Fonts: primary=Roboto, display=...
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| 10417 | vision-sft | wshobson/agents |
Vision-Language SFT This skill assumes finetuning-method-selection already routed here: the data shape is image+text demonstrations, not preference pairs or a verifiable reward signal, and the base is a vision-language model rather than a text-only one. lora-qlora-recipes covers the text-only LoRA/QLoRA recipe this skill specializes for the vision tower and projector; read that skill first if the LoRA fundamentals (rank, alpha, target modules) aren't already familiar. Show more Installs 948 Repo...
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| 10418 | grpo-rlvr-training | wshobson/agents |
GRPO & RLVR Training This skill assumes finetuning-method-selection already routed here because the target behavior has a verifiable pass/fail signal — not demonstrations ( lora-qlora-recipes ) or preference pairs ( preference-optimization ). What follows is when RL is the right tool, the reference recipe, the mandatory reward-inspection gate, and how to pick a GRPO variant when the base recipe misbehaves. Show more Installs 949 Repository wshobson/agents GitHub Stars 39.1K First Seen Jul 14, 20...
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| 10419 | claude-certification | rohitg00/ai-engineering-from-scratch |
Claude Certification Tutor Turn the repository into a step-by-step tutor. Make the learner explain, predict, run, build, and defend each decision. Do not reduce the course to a reading list. One invocation handles one of four modes: onboarding, one lesson, an assessment, or remediation. Resume from CLAUDE-CERTIFICATION.md when it exists. Load the source of truth Prefer a local clone. Locate the nearest parent containing certifications/claude/program.json . Otherwise read files from: https://raw....
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| 10420 | agent-fs | desplega-ai/agent-fs |
agent-fs CLI agent-fs is an agent-first filesystem with full versioning, full-text search (FTS5), and semantic search. It provides a CLI that outputs JSON, making it ideal for agent workflows. Files are organized in drives within orgs. Storage Backends agent-fs stores file bytes in a pluggable storage backend. The durable value — version history, comments, and search — lives in SQLite and works identically on every backend. Backend Setup Versioning tier signed-url S3 / MinIO (default) agent-fs o...
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| 10421 | information-architecture | owl-listener/designer-skills |
This skill defines the structural skeleton of a product or site. It sits between the design brief and the build. Run this after the brief is written and before tasks are created. Example prompts "Plan the IA for this app before I start building" "Map out the navigation and page structure" "I need to organize the content for a documentation site" "Define user flows for the onboarding experience" Process Look for an existing design brief at .design/*/DESIGN_BRIEF.md . If multiple subfolders exist,...
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| 10422 | critique-visual-hierarchy | owl-listener/designer-skills |
Critique Visual Hierarchy You are an expert in visual hierarchy and screen-level design critique. What You Do You analyse a screen to identify whether hierarchy is clear, intentional, and aligned with user goals. You flag problems and suggest targeted fixes. Critique Dimensions Entry Point The first element that captures the eye. Evaluate whether it is the most important thing on screen. Is there a single dominant element, or does attention scatter? Does size, contrast, or position establish the...
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| 10423 | trace-to-training-data | wshobson/agents |
Trace To Training Data This skill assumes eval-harness-first already graded the traces being converted here — goldens, graders, and runs/<run-id>/results.json all exist before conversion starts. This is the flywheel edge that skill names in its own flow: "the same labeled traces become the training set." Conversion happens here; grading already happened upstream. Show more Installs 948 Repository wshobson/agents GitHub Stars 39.1K First Seen Jul 14, 2026 Security Audits Gen Agent Trust Hub Pass ...
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| 10424 | spark-training-gotchas | wshobson/agents |
Spark Training Gotchas DGX Spark's GB10 chip (Grace Blackwell, SM121, 128GB unified memory, aarch64) has ten recurring failure modes across launch, memory, thermals, bandwidth, and precision. Each is named G1–G10 so it can be checked by number — the numbering is load-bearing for tooling that runs these checks. Read this before a long run, not after hour six. When to Use This Skill A training run fails to start, with an import error or a segfault that doesn't point at the real cause. A run OOMs w...
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| 10425 | spark-memory-thermal-ops | wshobson/agents |
Spark Memory & Thermal Ops DGX Spark's GB10 chip has one 128GB unified memory (UMA) pool shared by CPU and GPU, and a sustained power ceiling well below its rated figure. Both break discrete-GPU assumptions: headroom isn't what nvidia-smi reports, and a run that starts fast will slow down mid-job with nothing misconfigured. This skill covers planning memory headroom, working an actual OOM, and watching thermals across a long job. For launch-time failure modes (ABI mismatches, flash-attn, playboo...
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| 10426 | gitlab-workflow | mindrally/skills |
GitLab Workflow Best Practices You are an expert in GitLab workflows, including merge requests, CI/CD pipelines, issue tracking, and DevOps best practices. Core Principles Use merge requests for all code changes with thorough review Implement comprehensive CI/CD pipelines with .gitlab-ci.yml Follow GitLab Flow or similar branching strategy Leverage GitLab's built-in DevOps features Maintain security through proper access controls and scanning Merge Request Best Practices Creating Effective Mer...
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| 10427 | seo-audit | sickn33/agentic-awesome-skills |
SEO Audit You are an expert in search engine optimization. Your goal is to identify SEO issues and provide actionable recommendations to improve organic search performance. Initial Assessment Check for product marketing context first: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task. Before auditing, understand: Site ...
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| 10428 | n8n-multi-instance | czlonkowski/n8n-skills |
Working with multiple n8n instances over MCP When the n8n_instances tool is available, the user has multi-instance mode on: one MCP connection can reach several n8n instances (e.g. prod , staging , or one per client/team). Every other n8n tool ( n8n_get_workflow , n8n_list_workflows , n8n_update_partial_workflow , n8n_manage_datatable , n8n_manage_credentials , n8n_executions , n8n_test_workflow , …) runs against whichever instance this session is currently targeting . There is no per-call insta...
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| 10429 | debugging-capacitor | cap-go/capgo-skills |
Debugging Capacitor Applications Complete guide to debugging Capacitor apps on iOS and Android. When to Use This Skill User reports app crashes User needs to debug WebView/JavaScript User needs to debug native code User has network/API issues User sees unexpected behavior User asks how to debug Quick Reference: Debugging Tools Platform WebView Debug Native Debug Logs iOS Safari Web Inspector Xcode Debugger Console.app Android Chrome DevTools Android Studio adb logcat WebView Debugging iOS: Safar...
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| 10430 | cause-and-effect | neolabhq/context-engineering-kit |
Cause and Effect Analysis Apply Fishbone (Ishikawa) diagram analysis to systematically explore all potential causes of a problem across multiple categories. Description Systematically examine potential causes across six categories: People, Process, Technology, Environment, Methods, and Materials. Creates structured "fishbone" view identifying contributing factors. Usage /cause-and-effect [problem_description] Variables PROBLEM: Issue to analyze (default: prompt for input) CATEGORIES: Categories ...
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| 10431 | create-pr | neolabhq/context-engineering-kit |
create-pr Overview This guide covers best practices for creating pull requests in the warp repository, including merging master, running presubmit checks, linking Linear tasks, ensuring appropriate test coverage, and structuring your PR for effective review.
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| 10432 | spark-environment-setup | wshobson/agents |
Spark Environment Setup DGX Spark ships a GB10 Grace Blackwell chip: aarch64 CPU, SM121 GPU, 128GB unified memory, CUDA 13. This is a narrower and younger platform than a standard x86 CUDA 12 box, so package selection and ABI matching matter more than usual — the wheel ecosystem for aarch64 + CUDA 13 is still filling in. When to Use This Skill Setting up a fresh Spark box for training or inference. Hitting an import error mentioning libcudart , a missing symbol, or a wheel that "installed fine b...
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| 10433 | dd-checklist | anthropics/financial-services |
Due Diligence Checklist Workflow Step 1: Scope the Diligence Ask the user for: Target company : Name, sector, business model Deal type : Platform acquisition, add-on, growth equity, recap, carve-out Deal size / complexity : Determines depth of diligence Key concerns : Any known issues to prioritize (customer concentration, regulatory, environmental, etc.) Timeline : When is LOI / close targeted? Step 2: Generate Workstream Checklists Generate a checklist across all major workstreams, tailored to...
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| 10434 | typst-author | jihe520/mathmodelagent |
typst-author skill Overview This skill helps agents generate, edit, and reason about Typst documents. It provides quick‑start examples, detailed workflows, and links to the full Typst documentation (guides, tutorials, reference). Minimal document example set document(title: "My Document", author: "Author Name") set page(numbering: "1") set text(lang: "en") Show more Installs 848 Repository jihe520/mathmodelagent GitHub Stars 3.5K First Seen Jun 5, 2026 Security Audits Gen Agent Trust Hub Pass So...
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| 10435 | amazon-review-analyzer | nexscope-ai/amazon-skills |
Amazon Review Analyzer 💬 Transform customer reviews into competitive intelligence and product improvement roadmaps. Installation npx skills add nexscope-ai/Amazon-Skills --skill amazon-review-analyzer -g Usage Examples Competitor review analysis: "Analyze reviews for competitor yoga mats - what are customers complaining about?" Show more Installs 855 Repository nexscope-ai/ama…n-skills GitHub Stars 510 First Seen Mar 24, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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| 10436 | doctor | jihe520/mathmodelagent |
Doctor — 环境检查与安装向导 本 skill 检查完整数学建模工作流所需的所有工具是否已就绪,并帮助用户安装缺失项。 本 skill 只在用户显式触发时运行,不自动执行。 检查项清单 核心工具 工具 用途 检测命令 typst 论文编译(5writing、6verity,Typst 引擎) command -v typst xelatex 论文编译(5writing、6verity,LaTeX 引擎,中文模板必需) command -v xelatex python3 数值计算与图表(3coding-visual) command -v python3 drawio / draw.io DrawIO 流程图导出 PDF(4drawio) command -v drawio || command -v draw.io pdftoppm PDF 转 PNG 视觉检查(6verity) command -v pdftoppm mutool PDF 转 PNG 备用(6verity) command -v mutool magick PDF 转 PNG 备用(6verity) comm...
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| 10437 | create-blazor-project | dotnet/skills |
Create a Blazor Web App Before You Start — Gather Requirements If the user's request doesn't make the following clear, ask before scaffolding: What does the app do? List the main screens/features (e.g., "product catalog with search and shopping cart"). What kind of interactivity is needed? Displaying data and forms? Real-time updates? Offline support? Rich drag-and-drop UI? Deployment environment? Internet-facing? Intranet? Mobile users on slow connections? Authentication needed? Anonymous? Indi...
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| 10438 | om-auto-review-pr | open-mercato/skills |
Auto Review PR Review a pull request by number without touching the current worktree. Fetch the exact PR from the tracker, review it in an isolated worktree, and submit the verdict — as soon as the review is decided, never waiting for CI to go green and never skipping the review because a signal is already red : conflicts and failing checks become blocker findings inside the full review, so one cycle leaves the author the whole picture. When blockers remain and the run is autofix-eligible (the a...
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| 10439 | amazon-ses | aws/agent-toolkit-for-aws |
Amazon SES Recommended : Use the AWS MCP Server with SES permissions for sandboxed execution and CloudTrail audit logging. Without MCP : All operations use standard AWS CLI syntax ( aws sesv2 ... ). Overview This skill helps developers and DevOps engineers configure Amazon SES for production email sending. It targets users who are not email authentication experts — guiding them through complete domain setup following AWS best practices without requiring deep knowledge of DKIM, SPF, or DMARC. Rou...
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| 10440 | author-component | dotnet/skills |
Author Blazor Component Core Rules Data flows down via [Parameter] . Events flow up via EventCallback<T> (never Action / Func ). Never mutate [Parameter] properties. Copy to a private field in OnParametersSet . Use [Parameter] public T Prop { get; set; } — never required or init (causes BL0007). Use [EditorRequired] for required parameters. Handle all states: loading, empty, loaded, error — each with @if / @else . Use @key on repeated elements in loops for efficient diffing. Use IReadOnlyList<T>...
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| 10441 | minimal | bergside/awesome-design-skills |
Minimal Design Design System Skill (Universal) Mission You are an expert design-system guideline author for minimal design. Create practical, implementation-ready guidance that can be directly used by engineers and designers. Brand Style Foundations Visual style: minimal, clean, bold Typography scale: desktop-first expressive scale | Fonts: primary=Open Sans, display=Inter, mono=Inconsolata | weights=100, 200, 300, 400, 500, 600, 700, 800, 900 Color palette: primary, neutral, success, warning, d...
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| 10442 | enterprise | bergside/awesome-design-skills |
Enterprise Design System Skill (Universal) Mission You are an expert design-system guideline author for Enterprise. Create practical, implementation-ready guidance that can be directly used by engineers and designers. Brand Enterprise design emphasizes grids, modular components, and strong visual hierarchy to present complex data in a clear and accessible way. The interface is built for productivity, enabling users to monitor, analyze, and interact with information efficiently. Style Foundations...
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| 10443 | k6-test-maintenance | grafana/skills |
k6 Test Maintenance Maintain, fix, and improve existing k6 test scripts. Five maintenance tasks, each with a step-by-step procedure in references/workflows.md : Threshold tightening -- adjust threshold values based on observed metrics Version migration -- update scripts for new k6 releases Service change adaptation -- fix tests when the underlying service changes Refactoring -- clean up and modernize test code Best practices audit -- check scripts against current k6 best practices Core principle...
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| 10444 | optimize-web | unity-technologies/skills |
Performance Notes Take your time to do this thoroughly. Quality is more important than speed. Running C in the Editor Every step below that reads or writes a Player Setting runs inside a live Editor through the Unity CLI. The unity-cli skill owns getting you there — installing the CLI, confirming a connected Editor, adding the project's com.unity.pipeline package, telling a genuinely absent Editor apart from one stuck in Safe Mode, and discovering the Editor's command catalog. Follow it first; d...
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| 10445 | critique-typography | owl-listener/designer-skills |
Critique Typography You are an expert in typographic systems and screen-level type critique. What You Do You audit all typographic decisions on a screen: whether the type scale is applied correctly, whether text is readable at its context, whether type choices are consistent across the view, and whether design tokens are used in place of raw values. You flag problems and provide specific fixes. Critique Dimensions Scale Usage Evaluate whether the type scale is applied as a system, not ad hoc. Ar...
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| 10446 | k6-trend-analysis | grafana/skills |
k6 Trend Analysis Analyze metric trends across multiple runs of a Grafana Cloud k6 test to catch degradation early -- before thresholds breach and alerts fire. A P95 at 380ms against a 500ms threshold is "green" today, but if it was 250ms a month ago, something is quietly degrading; this skill surfaces that drift and recommends action. What this skill does NOT do Deep-dive into a single run's failure : load k6-cloud-investigate-test Edit scripts or apply threshold changes : load k6-test-maintena...
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| 10447 | javascript-mastery | sickn33/agentic-awesome-skills |
🧠 JavaScript Mastery 33+ essential JavaScript concepts every developer should know, inspired by 33-js-concepts . When to Use This Skill Use this skill when: Explaining JavaScript concepts Debugging tricky JS behavior Teaching JavaScript fundamentals Reviewing code for JS best practices Understanding language quirks 1. Fundamentals 1.1 Primitive Types Show more Installs 27 Repository sickn33/agentic…e-skills GitHub Stars 44.9K First Seen Jul 9, 2026 Security Audits Gen Agent Trust Hub Pass Socket...
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| 10448 | meshy-3d-printing | meshy-dev/meshy-3d-agent |
Meshy 3D Printing Prepare and send Meshy-generated 3D models to a slicer for 3D printing. Supports white model (single-color) and multicolor printing workflows with automatic slicer detection. Prerequisite: This skill bundles the same scripts/meshy_task.py CLI as meshy-3d-generation and shares its environment setup (API key detection, .env , Python requests ). However, when the user wants to 3D print, this skill controls the entire workflow — including generation, format selection, downloading, ...
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| 10449 | content-writer | aaron-he-zhu/aaron-marketing-skills |
Content Writer You write compelling marketing copy. Follow these principles: Voice Conversational but professional Active voice, present tense Short sentences, short paragraphs Structure Lead with the biggest benefit Use specific numbers over vague claims End with a clear call-to-action Rules No jargon unless the audience expects it No superlatives without proof ("best", "revolutionary") Every paragraph must earn its place
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| 10450 | video-transcription | postplusai/postplus-skills |
Video Transcription Use When The input is a video file and the goal is speech extraction, timed transcript, caption generation, multilingual transcript, or edit-prep timestamps. Use video-analysis instead when the user needs semantic visual analysis. Do Not Use When The task belongs to ideation, QA, or another released skill listed in the handoff section. Required inputs are missing and guessing would change the result. Show more Installs 819 Repository postplusai/post…s-skills GitHub Stars 20 F...
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