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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 9001 | nemo-mbridge-perf-hierarchical-context-parallel | nvidia/skills |
Hierarchical Context Parallel Skill This skill covers hierarchical context parallelism: nested context-parallel process groups used by cp_comm_type="a2a+p2p" and configured with hierarchical_context_parallel_sizes . For what hierarchical CP is, when to use it, and the decision tree ( a2a+p2p vs pure a2a vs p2p ), see: @docs/training/hierarchical-context-parallel.md @skills/nemo-mbridge-perf-hierarchical-context-parallel/card.yaml Enablement Minimal Bridge override: Show more Installs 551 Reposit...
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1.8K |
| 9002 | vss-setup-video-analytics-api | nvidia/skills |
Purpose Deploy the video-analytics-api REST service standalone with the user's chosen config, data-log bind, and Elasticsearch / Kafka connectivity. Instructions Follow the routing tables and step-by-step workflows below. Each section that ends in workflow , quick start , or flow is intended to be executed top-to-bottom. Detailed reference material lives in references/ . Examples Worked end-to-end examples are kept under evals/ (each *.json manifest contains a runnable scenario). Run a Tier-3 ev...
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| 9003 | vss-generate-video-calibration | nvidia/skills |
Purpose Run AutoMagicCalib end-to-end on local files, RTSP streams, or the bundled sample dataset and (when needed) deploy the AMC microservice. Instructions Follow the routing tables and step-by-step workflows below. Each section that ends in workflow , quick start , or flow is intended to be executed top-to-bottom. Detailed reference material lives in references/ ; load only the reference needed for the selected input mode. Examples Worked end-to-end examples are kept under evals/ (each *.json...
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1.8K |
| 9004 | vercel-deployment | sickn33/agentic-awesome-skills |
Vercel Deployment Expert knowledge for deploying to Vercel with Next.js Detailed Guide Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely. Prerequisites Required skills: nextjs-app-router Show more Installs 1.8K Repository sickn33/agentic…e-skills GitHub Stars 46.3K First...
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| 9005 | nemo-mbridge-resiliency | nvidia/skills |
Resiliency Stable docs: @docs/training/resiliency.md, @docs/training/checkpointing.md Card: @skills/nemo-mbridge-resiliency/card.yaml Enablement Fault tolerance (Slurm only) Option 1: NeMo Run plugin (recommended) from megatron . bridge . recipes . run_plugins import FaultTolerancePlugin import nemo_run as run Show more Installs 540 Repository nvidia/skills GitHub Stars 1.3K First Seen May 29, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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| 9006 | backend-dev-guidelines | sickn33/agentic-awesome-skills |
Backend Development Guidelines (Node.js · Express · TypeScript · Microservices) You are a senior backend engineer operating production-grade services under strict architectural and reliability constraints. Your goal is to build predictable, observable, and maintainable backend systems using: Layered architecture Explicit error boundaries Strong typing and validation Centralized configuration First-class observability This skill defines how backend code must be written , not merely suggestions. 1...
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| 9007 | experience-aura-lwc-migrate | forcedotcom/sf-skills |
Migrating Aura to LWC Migrate an existing Salesforce Aura component bundle to a Lightning Web Component using a PRD-driven workflow. The Aura source is analyzed through eight expert lenses (static references, data, API surface, slots, styling, default values, unknown dependencies, redundant-code cleanup) to produce a framework-agnostic PRD, which is handed to the LWC authoring skills and verified against the Aura→LWC completeness checklist. When to Use Porting an Aura bundle ( .cmp , .controller...
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| 9008 | steel-browser | steel-dev/cli |
Steel Browser Skill Steel gives agents cloud browser sessions, explicit lifecycle control, and better anti-blocking options than ad-hoc local browser automation. It also provides fast API tools ( scrape , screenshot , pdf ) that are often more reliable for web data retrieval than generic fetch/search toolchains. Trigger rules Trigger aggressively when the user asks for: Website interaction (click/fill/login/multi-step navigation). Web extraction or collection from dynamic pages. Screenshot or PD...
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1.8K |
| 9009 | interview prep generator | paramchoudhary/resumeskills |
Use this skill when the user wants to: - Prepare for a job interview - Practice answering interview questions - Create STAR stories from their experience - Anticipate questions for a specific role - Mentions: "interview prep", "prepare for interview", "STAR stories", "interview questions", "behavioral questions" Core Capabilities - Generate role-specific interview questions - Create STAR stories from resume bullets - Predict questions based on job description - Prepare answers for com...
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1.8K |
| 9010 | security-review | sickn33/antigravity-awesome-skills |
Security Review Skill Identify exploitable security vulnerabilities in code. Report only HIGH CONFIDENCE findings—clear vulnerable patterns with attacker-controlled input. Scope: Research vs. Reporting CRITICAL DISTINCTION: Report on : Only the specific file, diff, or code provided by the user Research : The ENTIRE codebase to build confidence before reporting Show more Installs 17.1K Repository getsentry/skills GitHub Stars 1.0K First Seen Jan 29, 2026 Security Audits Gen Agent Trust Hub Fail S...
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| 9011 | frontend-design | affaan-m/everything-claude-code |
This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices. The user provides frontend requirements: a component, page, application, or interface to build. They may include context about the purpose, audience, or technical constraints. Design Thinking Before coding, understand the context and commit to a BOLD aesthetic direction: Purpose :...
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1.8K |
| 9012 | tech resume optimizer | paramchoudhary/resumeskills |
Use this skill when the user: - Is applying for software engineering roles - Wants to optimize a technical resume - Needs help with developer/PM/technical job applications - Mentions: "tech resume", "software engineer resume", "developer resume", "technical resume", "SWE resume", "PM resume" Core Capabilities - Optimize resumes for technical roles (SWE, PM, Data, DevOps) - Structure technical skills sections effectively - Highlight projects and technical achievements - Balance technica...
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| 9013 | job description analyzer | paramchoudhary/resumeskills |
Use this skill when the user: - Wants to analyze a job posting - Asks "should I apply to this job?" - Wants to know their match percentage for a role - Needs help understanding job requirements - Wants to tailor their resume for a specific position - Mentions: "analyze this job", "am I qualified", "match score", "should I apply" Use this BEFORE resume tailoring to ensure effort is worth it. Core Capabilities - Extract and categorize job requirements (must-have vs nice-to-have) - Calcu...
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| 9014 | resume formatter | paramchoudhary/resumeskills |
Use this skill when the user: - Needs help with resume layout and formatting - Has a messy or hard-to-read resume - Wants to ensure ATS compatibility through formatting - Needs a clean, professional design - Mentions: "format resume", "resume layout", "resume design", "clean resume", "professional format" Core Capabilities - Structure resumes for optimal readability - Ensure ATS compatibility through formatting - Create visual hierarchy - Optimize white space and margins - Select app...
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| 9015 | c-level-advisor | alirezarezvani/claude-skills |
C-Level Advisory Ecosystem A complete virtual board of directors for founders and executives. Quick Start 1. Run /cs:setup → creates company-context.md (all agents read this) 2. Ask any strategic question → Chief of Staff routes to the right role 3. For big decisions → /cs:board triggers a multi-role board meeting What's Included 10 C-Suite Roles CEO, CTO, COO, CPO, CMO, CFO, CRO, CISO, CHRO, Executive Mentor 6 Orchestration Skills Founder Onboard, Chief of Staff (router), Board Meeting, Decisio...
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| 9016 | houdini | sfkislev/flue |
This skill lets a coding agent operate SideFX Houdini on the desktop through Flue , a local shell-to-application bridge. The agent pipes Python into houdini_bridge.py and gets structured JSON back. agent shell -> houdini_bridge.py -> hou -> JSON result When to use The human requests work performed inside Houdini — inspect the open scene, nodes, parameters, geometry, selection; make bounded edits; run small hou scripts. A CLI agent cannot act inside Houdini without a bridge like Flue. How to proc...
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1.8K |
| 9017 | autodesk | sfkislev/flue |
This skill lets a coding agent operate Autodesk desktop applications through Flue , a local shell-to-application bridge. Flue currently covers Autodesk 3ds Max through a consistent stdin/stdout contract; further Autodesk adapters are in scope. agent shell -> 3dsmax_bridge.py -> MAXScript / Python -> JSON result When to use The human requests work performed inside an Autodesk desktop app — inspect the open scene, objects, modifiers, materials, selection; make bounded edits; run small scripts. A C...
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1.8K |
| 9018 | ce-slack-research | everyinc/compound-engineering-plugin |
/ce-slack-research Search Slack for organizational context and receive an interpreted research digest. Usage /ce-slack-research [topic or question] /ce-slack-research Examples /ce-slack-research free trial /ce-slack-research What did we say about free trial recently? /ce-slack-research free trial in proj-reverse-trial /ce-slack-research onboarding flow after:2026-03-01 Show more
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| 9019 | ce-demo-reel | everyinc/compound-engineering-plugin |
Demo Reel Detect project type, recommend a capture tier, record visual evidence, upload to a public URL, and return markdown for PR inclusion. Evidence means USING THE PRODUCT, not running tests. "I ran npm test" is test evidence. Evidence capture is running the actual CLI command, opening the web app, making the API call, or triggering the feature. The distinction is absolute -- test output is never labeled "Demo" or "Screenshots." If real product usage is impractical (requires API keys, cloud ...
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1.8K |
| 9020 | ce-agent-native-architecture | everyinc/compound-engineering-plugin |
Agent-native applications treat agents as first-class citizens. Features are outcomes achieved by an agent with tools operating in a loop, not functions written in code. The same architecture that powers Claude Code can power apps far beyond coding. Five core principles: Parity — Whatever the user can do through the UI, the agent can achieve through tools. Granularity — Tools are atomic primitives; features are prompt-defined outcomes. To change behavior, edit prose, not code. Composability — Ne...
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1.8K |
| 9021 | ce-frontend-design | everyinc/compound-engineering-plugin |
Frontend Design Guide creation of distinctive, production-grade frontend interfaces that avoid generic AI aesthetics. This skill covers the full lifecycle: detect what exists, plan the design, build with intention, and verify visually. Authority Hierarchy Every rule in this skill is a default, not a mandate. Existing design system / codebase patterns -- highest priority, always respected User's explicit instructions -- override skill defaults Skill defaults -- apply in greenfield work or when th...
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| 9022 | ce-dhh-rails-style | everyinc/compound-engineering-plugin |
<essential_principles> Core Philosophy "The best code is the code you don't write. The second best is the code that's obviously correct." Vanilla Rails is plenty: Rich domain models over service objects CRUD controllers over custom actions Concerns for horizontal code sharing Records as state instead of boolean columns Database-backed everything (no Redis) Build solutions before reaching for gems Show more
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1.8K |
| 9023 | everything-claude-code-harness | aradotso/trending-skills |
Everything Claude Code (ECC) — Agent Harness Performance System Skill by ara.so — Daily 2026 Skills collection. Everything Claude Code (ECC) is a production-ready performance optimization system for AI agent harnesses. It provides specialized subagents, reusable skills, custom slash commands, memory-persisting hooks, security scanning, and language-specific rules — all evolved from 10+ months of daily real-world use. Works across Claude Code, Cursor, Codex, OpenCode, and Antigravity. Installatio...
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| 9024 | design-systems | refoundai/lenny-skills |
Design Systems Help the user build and scale design systems using frameworks from 4 product leaders who have built design systems at companies like Figma and Airbnb. How to Help When the user asks for help with design systems: Assess the need - Determine if they need consistency, speed, or both, and whether they're at the right stage for a design system Define the scope - Clarify whether they need a component library, design tokens, documentation, or all three Design for adoption - Help them mak...
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| 9025 | user-onboarding | refoundai/lenny-skills |
How to position Starchild Starchild is a personal assistant / intern with a full computer . Anything that can be done on a computer is in scope: browsing, reading, writing, coding, running scripts, connecting services, operating files, building tools, deploying pages, monitoring things, and pushing results back to the user. The honest positioning: Some things Starchild is already very good at — Twitter / X, Gmail, scheduled tasks, research, rapid prototyping, public deploys, database analytics, ...
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1.8K |
| 9026 | defining-product-vision | refoundai/lenny-skills |
Defining Product Vision Help the user create compelling product visions using frameworks from 101 product leaders who have defined visions at companies from Notion to Airbnb to the New York Times. How to Help When the user asks for help with product vision: Clarify the scope - Determine if they need a vision (long-term aspiration), strategy (how to win), or roadmap (what to build) Focus on the user's future - Help them describe the world 5-10 years out, not the product features Test for specific...
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1.8K |
| 9027 | content-writer | shubhamsaboo/awesome-llm-apps |
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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1.8K |
| 9028 | problem-definition | refoundai/lenny-skills |
Problem Definition Help the user define problems clearly before jumping to solutions using frameworks from 91 product leaders. How to Help When the user asks for help with problem definition: Understand the current framing - Ask how they're currently thinking about the problem Dig into the struggling moment - Help them articulate the specific context where users feel stuck Separate problem from solution - Ensure they haven't conflated a desired feature with the underlying need Validate the probl...
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1.8K |
| 9029 | usability-testing | refoundai/lenny-skills |
Usability Testing Help the user conduct effective usability testing using frameworks and insights from 11 product leaders. How to Help When the user asks for help with usability testing: Clarify the goal - Determine if they're validating a concept, finding friction points, or optimizing conversion Choose the right fidelity - Help them select between Wizard of Oz tests, fake doors, prototypes, or production testing Design the test - Guide them on recruiting users, creating scenarios, and what to ...
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1.8K |
| 9030 | baidu-search | countbot-ai/countbot |
百度 AI 搜索 基于百度千帆平台的 AI 搜索服务,支持多种搜索模式。 配置 编辑 skills/baidu-search/scripts/config.json ,填写 API Key: { "api_key" : "bce-v3/YOUR_API_KEY_HERE" } API Key 从 百度千帆平台 获取。 命令行调用 网页搜索(默认) python3 skills/baidu-search/scripts/search.py "搜索关键词" JSON 输出(推荐 AI 使用) python3 skills/baidu-search/scripts/search.py "人工智能最新进展" --json 限制结果数 python3 skills/baidu-search/scripts/search.py "Python教程" --limit 5 站点过滤 python3 skills/baidu-search/scripts/search.py "天气预报" --sites weather.com.cn 时间过滤(week/month/semiyear/year)...
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| 9031 | indesign | sfkislev/flue |
This skill lets a coding agent operate Adobe InDesign on the desktop through Flue , a local shell-to-application bridge. The agent pipes ExtendScript into indesign_bridge.py and gets structured JSON back. agent shell -> indesign_bridge.py -> ExtendScript -> JSON result When to use The human requests work performed inside InDesign — inspect the open document, spreads, pages, frames, text flows, styles; make bounded edits; run small ExtendScript steps. A CLI agent cannot act inside InDesign withou...
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1.8K |
| 9032 | conducting-user-interviews | refoundai/lenny-skills |
Conducting User Interviews Help the user run better discovery conversations and extract real insights using techniques from 43 product leaders. How to Help When the user asks for help with user interviews: Understand their goal - Ask what they're trying to learn (validating a problem, testing a solution, understanding behavior, pricing research) Help them prepare - Suggest questions, warn against common mistakes, help them find the right participants Coach on technique - Share principles for get...
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1.8K |
| 9033 | writing-specs-designs | refoundai/lenny-skills |
Writing Specs & Designs Help the user write effective specs and design documents using frameworks and insights from 7 product leaders. How to Help When the user asks for help with specs and design docs: Determine the fidelity level - Ask if they need conceptual alignment (low-fi) or detailed implementation guidance (high-fi) Encourage prototyping over polish - Push toward functional prototypes where possible rather than static documentation Focus on moving pieces - Help them identify the key aff...
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1.8K |
| 9034 | agent-memory-systems | sickn33/antigravity-awesome-skills |
Agent Memory Systems Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets....
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1.8K |
| 9035 | react-performance-optimization | nickcrew/claude-ctx-plugin |
React Performance Optimization Expert guidance for optimizing React application performance through memoization, code splitting, virtualization, and efficient rendering strategies. When to Use This Skill Optimizing slow-rendering React components Reducing bundle size for faster initial load times Improving responsiveness for large lists or data tables Preventing unnecessary re-renders in complex component trees Optimizing state management to reduce render cascades Improving perceived performance...
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1.8K |
| 9036 | ljg-library | lijigang/ljg-skills |
ljg-library:取景框借书卡 一本书,铸成一张 2050 图书馆借书卡。封面、作者、书目是身份; 核心是把这本书独创的「取景框」压成一幅意向画面 ——作者从某个角度看某个问题,看到了一幅别人没看到的画面。文字 block 用费曼式把这幅画面讲透,图形 block 把它精确画出来。合上书半年后,瞥一眼这张卡,那幅画面回来——这是「没白读」的物证。 图解 block 用手绘解释的风格、白底黑墨, 精确呈现意向画面 ;继刚墨像( assets/ljg-portrait.png ,由其头像抠底而成)是可选构图件,仅当画面里本来有个「你」才嵌入。完整设计历程见 ~/.claude/PAI/MEMORY/WORK/ljg-oneliner-design/ISA.md 。 约束 输出为视觉文件(PNG),不适用 Org-mode / Denote / ASCII-only 规范。 灵魂:意向画面提炼 + 图文同呈 卡好不好看是壳, 能不能从一本书提炼出它独创的看世界方式、压成一幅意向画面、用费曼讲解 + 手绘图形分别呈现它,才是命 。这一步若失手,整张卡退化成豆瓣读书卡。 核心:取景框 = ...
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| 9037 | premiere | sfkislev/flue |
This skill lets a coding agent operate Adobe Premiere Pro on the desktop through Flue , a local shell-to-application bridge. The agent pipes ExtendScript into premiere_bridge.py and gets structured JSON back. agent shell -> premiere_bridge.py -> ExtendScript -> JSON result When to use The human requests work performed inside Premiere — inspect the open project, sequences, clips, markers; make bounded edits; run small ExtendScript steps. A CLI agent cannot act inside Premiere without a bridge lik...
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1.8K |
| 9038 | harvard-art-museums-data-engineering-app | aradotso/data-skills |
Harvard Art Museums Data Engineering App Skill by ara.so — Data Skills collection. This project provides an end-to-end data engineering and analytics application built on the Harvard Art Museums API. It demonstrates real-world ETL pipelines, SQL database design, analytical queries, and interactive visualization using Streamlit. What This Project Does The application follows a complete data pipeline: API → ETL → SQL → Analytics → Visualization Collects artifact data from Harvard Art Museums API w...
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1.8K |
| 9039 | cc-skill-security-review | sickn33/antigravity-awesome-skills |
Security Review Skill This skill ensures all code follows security best practices and identifies potential vulnerabilities. When to Use Implementing authentication or authorization Handling user input or file uploads Creating new API endpoints Working with secrets or credentials Implementing payment features Storing or transmitting sensitive data Integrating third-party APIs Security Checklist 1. Secrets Management Show more Installs 1.9K Repository sickn33/agentic…e-skills GitHub Stars 45.1K Fi...
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| 9040 | uncloud | affaan-m/everything-claude-code |
Uncloud Cluster Management Reference for the uc CLI — a decentralised self-hosting platform using Docker containers, WireGuard mesh networking, and Caddy reverse proxy. When to Activate Use this skill when working with Uncloud clusters, especially when: Bootstrapping or joining machines with uc machine Deploying services from Compose files with uc deploy Publishing HTTP, HTTPS, TCP, or UDP ports through Uncloud Configuring Caddy ingress with x-caddy , x-ports , or --caddyfile Routing external LA...
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1.8K |
| 9041 | terraform-data-engineering-infrastructure | aradotso/data-skills |
Terraform Data Engineering Infrastructure Skill by ara.so — Data Skills collection. This project provides Infrastructure-as-Code (IaC) patterns for data engineering teams using Terraform to provision and manage AWS resources. It demonstrates how to automate the creation of data infrastructure including S3 buckets for data lakes, EC2 instances for processing, and IAM policies for secure access. What This Project Does Provisions AWS infrastructure specifically designed for data engineering workloa...
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1.8K |
| 9042 | iac-data-engineering-terraform | aradotso/data-skills |
IaC for Data Engineering with Terraform Skill by ara.so — Data Skills collection. This project demonstrates Infrastructure-as-Code (IaC) fundamentals for data engineers using Terraform to provision AWS resources including S3 buckets, EC2 instances, and IAM configurations. It provides reusable patterns for managing data infrastructure declaratively. What This Project Does Provisions AWS S3 buckets for data storage Creates and configures EC2 instances for data processing Sets up IAM roles and poli...
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1.8K |
| 9043 | terraform-iac-data-engineering | aradotso/data-skills |
Terraform IaC for Data Engineering Skill by ara.so — Data Skills collection. This project provides Infrastructure-as-Code (IaC) patterns using Terraform specifically for data engineering workloads on AWS. It demonstrates how to provision and manage AWS resources (S3, EC2, IAM) needed for data pipelines and processing. What This Project Does Provisions AWS S3 buckets for data storage Creates EC2 instances for data processing workloads Manages IAM users, roles, and policies Demonstrates Terraform ...
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| 9044 | terraform-data-engineering-iac | aradotso/data-skills |
Terraform Data Engineering IaC Skill by ara.so — Data Skills collection. This project demonstrates Infrastructure-as-Code (IaC) fundamentals for data engineering using Terraform. It provisions AWS resources commonly used in data pipelines including S3 buckets for data storage and EC2 instances for data processing workloads. What It Does Provisions AWS S3 buckets for data lake storage Creates EC2 instances for data processing and pipeline execution Manages IAM policies for secure resource access ...
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1.8K |
| 9045 | harvard-artifacts-data-pipeline | aradotso/data-skills |
Harvard Artifacts Data Pipeline Skill by ara.so — Data Skills collection. What This Project Does The Harvard Artifacts Collection Data Engineering & Analytics App is an end-to-end data pipeline that demonstrates professional ETL workflows. It fetches artifact data from the Harvard Art Museums API, transforms it into structured relational tables, stores it in MySQL/TiDB Cloud, and provides interactive analytics through a Streamlit dashboard with Plotly visualizations. Key capabilities: API data e...
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| 9046 | iac-terraform-data-engineering | aradotso/data-skills |
IaC for Data Engineering with Terraform Skill by ara.so — Data Skills collection. This project provides Infrastructure-as-Code (IaC) templates and patterns for data engineers using Terraform to provision and manage AWS resources. It focuses on creating reproducible, version-controlled infrastructure for data platforms including S3 storage, EC2 compute instances, and IAM permissions. What This Project Does Provides Terraform configurations for common data engineering infrastructure on AWS Demonst...
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| 9047 | retail-etl-medallion-pipeline | aradotso/data-skills |
Retail ETL Medallion Pipeline Skill Skill by ara.so — Data Skills collection. Overview This project implements a production-grade Medallion Architecture ETL pipeline for retail/hypermarket data, handling complex business logic like inventory shrinkage, meat/poultry recipe conversions, supplier rebate tiers, and multi-branch sales consolidation. The architecture follows three data quality layers: Bronze Layer : Raw data ingestion from CSV sources (sales, stock, products) Silver Layer : Cleaned, s...
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| 9048 | retail-etl-pipeline-medallion | aradotso/data-skills |
Retail ETL Pipeline - Medallion Architecture Skill Skill by ara.so — Data Skills collection Overview The Retail ETL Pipeline project implements a complete data engineering solution for retail operations using the Medallion Architecture pattern (Bronze → Silver → Gold layers). It handles complex retail scenarios including: Inventory shrinkage resolution Recipe conversions for meat/poultry products Supplier rebate tier tracking Multi-branch sales consolidation Stock level management across locatio...
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| 9049 | nemo-data-designer-plugin | nvidia/skills |
Before You Start Do not explore the workspace first. The workflow's Learn step gives you everything you need. Goal Build a synthetic dataset using the Data Designer library that matches this description: $ARGUMENTS Workflow Use Autopilot mode if the user implies they don't want to answer questions — e.g., they say something like "be opinionated", "you decide", "make reasonable assumptions", "just build it", "surprise me", etc. Otherwise, use Interactive mode (default). Read only the workflow fil...
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1.8K |
| 9050 | image-bg-remove | starchild-ai-agent/official-skills |
image-bg-remove Use this skill for all background removal requests on Starchild. Covers: portrait background removal (ID photos, headshots), product cutouts (e-commerce white-background), group photo background removal, pet/animal cutouts, object isolation, and preparing transparent PNGs for compositing. Core principle: call the provided script. Do not re-implement proxy/billing plumbing. Key difference from other image skills: this skill uses a dedicated background removal model ( fal-ai/bria/b...
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1.8K |