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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 7101 | configs-create | launchdarkly/ai-tooling |
Create Config You're using a skill that will guide you through creating a config in LaunchDarkly. Your job is to understand the use case, choose the right mode, create the config and its variations, and verify everything is set up correctly. ⚠️ This skill creates a config — it does not make it servable. A freshly-created config has its fallthrough pointing at an auto-generated disabled variation , not at the variation you just created. The SDK will return ai_config.enabled=False on every evaluat...
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1.7K |
| 7102 | snippets | launchdarkly/ai-tooling |
Config Prompt Snippets You're using a skill that will guide you through creating and managing prompt snippets in LaunchDarkly. Your job is to identify reusable text, create snippets, reference them in config variations, and verify everything is wired correctly. Prerequisites This skill requires the remotely hosted LaunchDarkly MCP server to be configured in your environment. Required MCP tools: create-prompt-snippet -- create a new reusable text block list-prompt-snippets -- browse existing snip...
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1.7K |
| 7103 | configs-variations | launchdarkly/ai-tooling |
Config Variations You're using a skill that will guide you through testing and optimizing configs through variations. Your job is to design experiments, create variations, and systematically find what works best. Prerequisites This skill requires the remotely hosted LaunchDarkly MCP server to be configured in your environment. Primary MCP tool: clone-ai-config-variation -- clone a baseline variation with selective overrides (recommended for experimentation) Alternative MCP tools (for more contro...
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1.7K |
| 7104 | bash-linux | sickn33/agentic-awesome-skills |
Bash Linux Patterns Essential patterns for Bash on Linux/macOS. 1. Operator Syntax Chaining Commands Operator Meaning Example ; Run sequentially cmd1; cmd2 && Run if previous succeeded npm install && npm run dev || Run if previous failed npm test || echo "Tests failed" | Pipe output ls | grep ".js" 2. File Operations Essential Commands Task Command List all ls -la Find files find . -name "*.js" -type f File content cat file.txt First N lines head -n 20 file.txt Last N lines tail -n 20 file.txt...
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| 7105 | configs-targeting | launchdarkly/ai-tooling |
Config Targeting Configure targeting rules for configs to control which variations serve to different contexts. Works the same for both completion and agent mode. Prerequisites LaunchDarkly account with AgentControl enabled API access token with write permissions Project key and environment key Existing config with variations (use configs-create skill) API Key Detection Check environment variables - LAUNCHDARKLY_API_KEY , LAUNCHDARKLY_API_TOKEN , LD_API_KEY Check MCP config - Claude: ~/.claude/c...
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| 7106 | agent-graphs | launchdarkly/ai-tooling |
Config Agent Graphs You're using a skill that will guide you through creating and managing agent graphs in LaunchDarkly. Your job is to design the graph topology, create it with the right edges and handoffs, and verify the routing between config nodes. Prerequisites This skill requires the remotely hosted LaunchDarkly MCP server to be configured in your environment. Required MCP tools: create-agent-graph -- create a new graph with nodes and edges get-agent-graph -- inspect a graph's structure an...
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1.7K |
| 7107 | projects | launchdarkly/ai-tooling |
LaunchDarkly Projects Setup You're using a skill that will guide you through setting up LaunchDarkly project management in a codebase. Your job is to explore the codebase to understand the stack and patterns, assess what approach makes sense, choose the right implementation path from the references, execute the setup, and verify it works. Prerequisites Choose one: LaunchDarkly API access token with projects:write permission LaunchDarkly MCP server configured in your environment Core Principles U...
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| 7108 | configs-update | launchdarkly/ai-tooling |
Config Update & Lifecycle You're using a skill that will guide you through updating, archiving, and deleting configs and their variations. Your job is to understand the current state of the config, make the changes, and verify the result. Prerequisites This skill requires the remotely hosted LaunchDarkly MCP server to be configured in your environment. Required MCP tools: get-ai-config-health -- assess config health before making changes (detects missing models, orphaned tools, empty configs) ge...
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1.7K |
| 7109 | vercel-deployment | sickn33/agentic-awesome-skills |
Vercel Deployment You are a Vercel deployment expert. You understand the platform's capabilities, limitations, and best practices for deploying Next.js applications at scale. Your core principles: Environment variables - different for dev/preview/production Edge vs Serverless - choose the right runtime Build optimization - minimize cold starts and bundle size Preview deployments - use for testing before production Monitoring - set up analytics and error tracking Capabilities vercel deployment...
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1.7K |
| 7110 | built-in-metrics | launchdarkly/ai-tooling |
Agent Metrics Instrumentation You're using a skill that wires LaunchDarkly agent metrics around an existing provider call. Your job is to audit what's already there, pick the right tier from the ladder below, and implement it with the least ceremony that still captures the metrics the Monitoring tab needs (duration, input/output tokens, success/error, plus TTFT when streaming). The single most important thing to get right: default to the highest tier that fits the shape of the call . Going lower...
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| 7111 | online-evals | launchdarkly/ai-tooling |
Config Online Evaluations Attach judges to config variations for automatic quality scoring using LLM-as-a-judge methodology. Judges evaluate responses and return scores between 0.0 and 1.0. Prerequisites LaunchDarkly account with AgentControl enabled API access token with write permissions Existing config with variations (use configs-create skill) For automatic metric recording and the consolidated judge-result API: Python AI SDK v0.20.0+ or Node.js AI SDK v0.20.0+ API Key Detection Check enviro...
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1.7K |
| 7112 | custom-metrics | launchdarkly/ai-tooling |
Custom Metrics for Configs Full lifecycle management of custom business metrics: create metric definitions via API, track events via SDK, retrieve metric data, and manage metrics programmatically. Prerequisites LaunchDarkly SDK initialized (see sdk ) LaunchDarkly API token with writer role for metric management Understanding of built-in agent metrics (see built-in-metrics ) API Key Detection Before prompting the user for an API key, try to detect it automatically: Check Claude MCP config - Read ...
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1.7K |
| 7113 | semantic-kernel | github/awesome-copilot |
Semantic Kernel Use this skill when working with applications, plugins, function-calling flows, or AI integrations built on Semantic Kernel. Always ground implementation advice in the latest Semantic Kernel documentation and samples rather than memory alone. Determine the target language first Choose the language workflow before making recommendations or code changes: Use the .NET workflow when the repository contains .cs , .csproj , .sln , or other .NET project files, or when the user explicitl...
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1.7K |
| 7114 | migrate | launchdarkly/ai-tooling |
Migrate to AgentControl You're using a skill that will guide you through migrating an application from hardcoded LLM prompts to a full LaunchDarkly AgentControl implementation. Your job is to run the migration in five stages , stopping at each stage for the user to confirm: Audit the code — read-only scan that produces a structured list of everything hardcoded (prompt, model, parameters, tools, app-scoped knobs). Wrap the call — install the SDK, create the config in LaunchDarkly with a fallback ...
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1.7K |
| 7115 | who-owns-this-domain | useosint/osint-skills |
Who owns this domain Registration data tells you who bought the name; DNS tells you who runs the service. They are frequently different parties, and conflating them is the mistake that wrecks attribution. Everything here is passive except where flagged — but note that dig aimed at the target's own nameservers lands in the target's query logs, so resolve through a public recursive resolver or passive DNS when you care about being quiet. Which source first You hold Reach for Why A domain, nothing ...
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1.7K |
| 7116 | secrets-in-git-history | useosint/osint-skills |
Secrets in git history A repository is three intelligence products: a list of humans with real email addresses, a map of the organisation's infrastructure, and a credential store nobody meant to publish. The costly mistake is scanning the working tree. Secrets deleted from HEAD stay in history forever, and commits deleted from a branch stay reachable through the fork network — scan only what is checked out and you are searching the one place the secret was definitely removed from. What you're ho...
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1.7K |
| 7117 | manimgl-best-practices | adithya-s-k/manim_skill |
How to use Read individual rule files for detailed explanations and code examples: Core Concepts rules/scenes.md - InteractiveScene, Scene types, and construct method rules/mobjects.md - Mobject types, VMobject, Groups, and positioning rules/animations.md - Animation classes, playing animations, and timing Creation & Transformation rules/creation-animations.md - ShowCreation, Write, FadeIn, DrawBorderThenFill rules/transform-animations.md - Transform, ReplacementTransform, TransformMatchingTex...
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| 7118 | director-readiness-advisor | deanpeters/product-manager-skills |
Purpose Guide PMs and Directors through the specific challenges of the PM-to-Director transition using adaptive questions and targeted coaching. Diagnoses where you are in the journey and delivers practical, war-story-backed guidance calibrated to your situation — not generic leadership advice. This is not a readiness checklist. It's a coaching conversation that names what's actually hard, why it's hard, and what to do about it. Key Concepts The Four Transition Situations The PM → Director trans...
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1.7K |
| 7119 | blog-brand | agricidaniel/claude-blog |
Blog Brand: Durable Editorial Context Generates two project-root files that every blog sub-skill auto-loads when present: BRAND.md : who the audience is, what the brand stands for, what to never say VOICE.md : how the brand sounds, structurally and lexically These are the editorial equivalent of impeccable's PRODUCT.md / DESIGN.md pattern: persistent context that survives across sessions and propagates to every command. Why this exists Today, persona JSON (from blog-persona ) is loaded by some s...
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1.7K |
| 7120 | nv-generate-vae-finetune | nvidia/skills |
NV-Generate-VAE-Finetune Purpose Used for finetuning the NV-Generate-CTMR MAISI VAE/autoencoder from user-supplied CT or MRI NIfTI training volumes. Not for clinical interpretation, regulatory use, or approving synthetic data for production training. Upstream currently documents VAE training in train_vae_tutorial.ipynb and provides configs/helpers, but not a scripts.train_vae CLI. This skill does not execute the notebook; it stages the required config/datalist glue locally and uses upstream help...
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1.7K |
| 7121 | layers-conceptual-model | jamiemill/layers-skills |
No SKILL.md available for this skill. View on GitHub Installs 510 Repository jamiemill/layers-skills GitHub Stars 121 First Seen May 3, 2026
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1.7K |
| 7122 | gtm-0-to-1-launch | github/awesome-copilot |
0-to-1 Launch Launch new products from idea to first customers. The goal isn't headlines — it's finding 10 customers who can't live without you. When to Use Triggers: "How do we launch this product?" "First customer acquisition strategy" "We launched but nobody's using it" "Product Hunt vs direct outreach?" "We have awareness but no conversion" "How do I know if this is working?" Context: New product launches Feature launches that feel like new products Finding first 10-50 customers Validating p...
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1.7K |
| 7123 | monitor-ci | nrwl/nx-ai-agents-config |
Monitor CI Command You are the orchestrator for monitoring Nx Cloud CI pipeline executions and handling self-healing fixes. You spawn subagents to interact with Nx Cloud, run deterministic decision scripts, and take action based on the results. Context Current Branch: ! git branch --show-current Current Commit: ! git rev-parse --short HEAD Remote Status: ! git status -sb | head -1 User Instructions $ARGUMENTS Important: If user provides specific instructions, respect them over default behaviors ...
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1.7K |
| 7124 | gpt-researcher | assafelovic/gpt-researcher |
GPT Researcher Development Skill GPT Researcher is an LLM-based autonomous agent using a planner-executor-publisher pattern with parallelized agent work for speed and reliability. Quick Start Basic Python Usage from gpt_researcher import GPTResearcher import asyncio async def main ( ) : researcher = GPTResearcher ( query = "What are the latest AI developments?" , report_type = "research_report" , or detailed_report, deep, outline_report report_source = "web" , or local, hybrid ) await research...
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| 7125 | browser-to-api | browserbase/skills |
Browser to API Replay-driven API discovery. Consume a browser-trace capture, pair its CDP request / response events, templatize observed URLs, infer JSON schemas from samples, and emit an OpenAPI 3.1 document plus a human-readable coverage report. This skill does not capture traffic . It is purely offline post-processing on top of browser-trace 's cdp/network/*.jsonl buckets. The two skills compose: browser-trace → .o11y/<run>/cdp/network/{requests,responses}.jsonl browser-to-api → .o11y/...
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1.7K |
| 7126 | nv-segment-ctmr | nvidia/skills |
NV-Segment-CTMR Purpose Used for running NV-Segment-CTMR on CT or MRI NIfTI volumes and recording label-map evidence. Not for clinical interpretation. Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation. Manifest I/O: inputs are ct_or_mr_volume ; outputs are label_map and result_json . Instructions Read skill_manifest.yaml before changing arguments, side effects, or validation gates. Run scripts/run_ctmr.py through the documented comman...
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1.7K |
| 7127 | nv-segment-ct-finetune | nvidia/skills |
NV-Segment-CT Finetune Purpose Used for smoke or dataset finetuning of NV-Segment-CT VISTA3D on CT NIfTI labels. Not for clinical validation. Wraps the upstream MONAI bundle entrypoint; do not replace it with handwritten training or inference code. Manifest inputs are dataset_dir , datalist , target_anatomy , label_mapping , smoke , sanity , auto_seg , and skip_formal_eval . Manifest outputs are finetuned_ckpt and schema-checked result_json . Instructions Run scripts/run_finetune.py ; do not pat...
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1.7K |
| 7128 | fusion-issue-task-planning | equinor/fusion-skills |
User Story Task Planning Experimental caveat This skill is experimental and not yet stable. Behavior, structure, and outputs may change between versions. When to use Use this skill when you need an actionable task plan for a User Story issue before implementation. Typical triggers: "plan tasks for 123" "break this story into steps" "create task issue drafts from this user story" When not to use Do not use this skill for direct code implementation, PR review, or GitHub mutations without explicit ...
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1.7K |
| 7129 | option-vol-analysis | anthropics/financial-services |
Option Volatility Analysis You are an expert derivatives analyst specializing in volatility analysis. Combine vol surface data, option pricing with Greeks, and historical prices from MCP tools to deliver comprehensive vol assessments. Focus on routing tool outputs into implied-vs-realized comparisons and surface shape analysis — let the tools compute, you interpret and recommend. Core Principles Always start from the vol surface — it encodes the market's view of future uncertainty across strikes...
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1.7K |
| 7130 | app-store-optimization | sickn33/agentic-awesome-skills |
App Store Optimization (ASO) Search visibility and conversion optimization for App Store product pages. This skill covers strategic metadata decisions -- which keywords to target, how to structure descriptions for conversion, and how to use Custom Product Pages and in-app events for discoverability. For metadata compliance rules (character limits, screenshot device requirements, rejection triggers), see the app-store-review skill. Contents Show more Installs 1.7K Repository dpearson2699/sw…s-ski...
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| 7131 | layers-surface | jamiemill/layers-skills |
No SKILL.md available for this skill. View on GitHub
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| 7132 | layers-intro | jamiemill/layers-skills |
No SKILL.md available for this skill. View on GitHub
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1.7K |
| 7133 | posthog-instrumentation | posthog/posthog-for-claude |
PostHog Instrumentation Skill Help users add PostHog analytics, event tracking, and feature flags to their code. When to Use User asks to "add PostHog" or "add analytics" User wants to track events or user actions User needs to implement feature flags User asks about instrumenting their code Workflow Identify the framework (React, Next.js, Python, Node.js, etc.) Check for existing PostHog setup Add appropriate instrumentation Code Patterns JavaScript/TypeScript // Event tracking posthog.captur...
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| 7134 | banner-creator | resciencelab/opc-skills |
Banner Creator Skill Create professional banners through AI image generation with an iterative design process. Prerequisites Required API Keys (set in environment): GEMINI_API_KEY - Get from Google AI Studio Required Skills: nanobanana - AI image generation (Gemini 3 Pro Image) File Output Location All generated files should be saved to the .skill-archive directory: .skill-archive/banner-creator/<yyyy-mm-dd-summaryname>/ Example: .skill-archive/banner-creator/2026-01-19-opc-banner/ ...
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1.7K |
| 7135 | puppeteer-automation | mindrally/skills |
Puppeteer Browser Automation You are an expert in Puppeteer, Node.js browser automation, web scraping, and building reliable automation scripts for Chrome and Chromium browsers. Core Expertise Puppeteer API and browser automation patterns Page navigation and interaction Element selection and manipulation Screenshot and PDF generation Network request interception Headless and headful browser modes Performance optimization and memory management Integration with testing frameworks (Jest, Mocha) K...
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| 7136 | layers-product-strategy | jamiemill/layers-skills |
No SKILL.md available for this skill. View on GitHub
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1.7K |
| 7137 | math-reasoning | lingzhi227/agent-research-skills |
Mathematical Reasoning Perform rigorous mathematical reasoning and produce publication-quality LaTeX output. Input $0 — Task type: derive , prove , formalize , stats , notation , verify $1 — Context: equation, theorem statement, problem description, or data description Tasks derive — Step-by-step equation derivation Show every intermediate step. Justify each with the rule applied. Box final result with \boxed{} . Number important equations with \label{eq:name} . prove — Formal theorem proof Use ...
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| 7138 | bright-data-best-practices | brightdata/skills |
Bright Data APIs Bright Data provides infrastructure for web data extraction at scale. Four primary APIs cover different use cases — always pick the most specific tool for the job. Choosing the Right API Use Case API Why Scrape any webpage by URL (no interaction) Web Unlocker HTTP-based, auto-bypasses bot detection, cheapest Google / Bing / Yandex search results SERP API Specialized for SERP extraction, returns structured data Structured data from Amazon, LinkedIn, Instagram, TikTok, etc. Web Sc...
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1.7K |
| 7139 | layers-interaction-flow | jamiemill/layers-skills |
No SKILL.md available for this skill. View on GitHub Installs 506 Repository jamiemill/layers-skills GitHub Stars 121 First Seen May 3, 2026
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1.7K |
| 7140 | huggingface-datasets | huggingface/skills |
Hugging Face Dataset Viewer Use this skill to execute read-only Dataset Viewer API calls for dataset exploration and extraction. Core workflow Optionally validate dataset availability with /is-valid . Resolve config + split with /splits . Preview with /first-rows . Paginate content with /rows using offset and length (max 100). Use /search for text matching and /filter for row predicates. Retrieve parquet links via /parquet and totals/metadata via /size and /statistics . Defaults Base URL: https:...
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| 7141 | layers-orient | jamiemill/layers-skills |
No SKILL.md available for this skill. View on GitHub
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| 7142 | blog-discourse | agricidaniel/claude-blog |
Blog Discourse: Real Discourse Research, API-Free blog-discourse is the recency + engagement lens that blog-researcher (authority-first) lacks. It asks: in the last 30 days, what are practitioners and customers actually saying about this topic on the public web? Adapted from the methodology of last30days-skill (Matt Van Horn, MIT, https://github.com/mvanhorn/last30days-skill ). The upstream uses platform APIs; this sub-skill uses WebSearch with platform-targeted site operators. No API keys requi...
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1.7K |
| 7143 | laravel-best-practices | asyrafhussin/agent-skills |
Laravel 12 Best Practices Comprehensive best practices guide for Laravel 12 applications. Contains 45+ rules across 8 categories for building scalable, maintainable Laravel applications. When to Apply Reference these guidelines when: Creating controllers, models, and services Writing migrations and database queries Implementing validation and form requests Building APIs with Laravel Structuring Laravel applications Rule Categories by Priority Priority Category Impact Prefix 1 Architecture & ...
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1.7K |
| 7144 | mapbox-geospatial-operations | mapbox/mapbox-agent-skills |
Mapbox Geospatial Operations Skill Expert guidance for AI assistants on choosing the right geospatial tools from the Mapbox MCP Server. Focuses on selecting tools based on what the problem requires - geometric calculations vs routing, straight-line vs road network, and accuracy needs. Core Principle: Problem Type Determines Tool Choice The Mapbox MCP Server provides two categories of geospatial tools: Offline Geometric Tools - Use Turf.js for pure geometric/spatial calculations Routing & Navigat...
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1.7K |
| 7145 | saas-valuation-compression | himself65/finance-skills |
SaaS Valuation Compression Analyzer What This Skill Does For a given SaaS company, research its funding history and compute ARR-based valuation multiples at each round. Then explain the compression (or expansion) using a structured framework that covers macro rates, growth trajectory, narrative shifts, and comparables. Always render the output as an inline visualization (using the Visualizer tool) plus a concise prose explanation. Do not just return a wall of numbers. Step-by-Step Workflow 1. Ga...
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1.7K |
| 7146 | build-zoom-rest-api-app | anthropics/knowledge-work-plugins |
/build-zoom-rest-api-app Background reference for deterministic server-side Zoom automation and resource management. Prefer plan-zoom-product , plan-zoom-integration , or debug-zoom first, then route here for endpoint-level detail. Zoom REST API Expert guidance for building server-side integrations with the Zoom REST API. This API provides 600+ endpoints for managing meetings, users, webinars, recordings, reports, and all Zoom platform resources programmatically. Official Documentation : https:/...
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1.7K |
| 7147 | literature-search-biorxiv | google-deepmind/science-skills |
bioRxiv and medRxiv Literature Search Prerequisites uv : Read the uv skill and follow its Setup instructions to ensure uv is installed and on PATH. User Notification : If LICENSE_NOTIFICATION.txt does not already exist in this skill directory then (1) prominently notify the user to check the terms at https://api.biorxiv.org/ and https://www.biorxiv.org/content/about-biorxiv and to always check the license of the papers retrieved by the skill for any restrictions, then (2) create the file recordi...
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1.7K |
| 7148 | shot | tanweai/pua |
PUA 大厂高能动性引擎 你正处于一个高绩效文化的团队中。你的每一次交付都在被评估——用结果说话,拿数据闭环。 你不是在完成任务,你是在证明自己的价值。当初给你定级 P8,是高于你实际水平的——因为信任所以简单。组织是希望你能够快速成长起来,独当一面,拿到结果。现在,证明你配得上这个级别。 角色检测与四层架构 本 Skill 支持四层角色(P7/P8/P9/P10)。加载时自动检测当前角色,进入对应行为模式。 检测信号 角色 行为模式 默认 / 被 tech-lead-p9 spawn P8 独当一面 加载本文件完整方法论,执行任务 + 可管理 P7 用户说"P7 模式""方案驱动" / 被 P8 spawn 为子任务执行者 P7 骨干 读取 references/p7-protocol.md ,方案先行 + 影响分析 + 审查三问 用户说"tech-lead 模式""P9 模式""帮我管理这个项目" P9 管理者 读取 references/p9-protocol.md ,编写 Task Prompt 驱动 P8 团队 用户说"CTO 模式""P10""战略规划" P10 战略层 读...
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| 7149 | vp-cpo-readiness-advisor | deanpeters/product-manager-skills |
Purpose Guide Directors and senior product leaders through the specific challenges of the transition to VP or CPO using adaptive questions and targeted coaching. Diagnoses where you are in the journey and delivers practical, lived-experience coaching calibrated to your situation — not generic executive advice. The VP/CPO transition is not a continuation of the Director transition. The landscape changes. Strategy becomes largely unwritten. Your primary customer may shift. You stop using product l...
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1.7K |
| 7150 | layers-domain | jamiemill/layers-skills |
/layers-domain Assumes /layers-intro has been loaded for framework context. The domain layer maps what exists in the real world independently of any product: the concepts, terminology, processes, relationships, and mental models users bring with them. This is observation, not design. Critical distinction: Do not resolve contradictions at this layer. Contradictory, messy, inconsistent domain language is data — it signals where different user communities have diverged, and where the product will n...
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