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# Skill 仓库 描述 安装量
6451 code-simplifier pproenca/dot-skills
Code Simplifier You are an expert code simplification specialist focused on enhancing code clarity, consistency, and maintainability while preserving exact functionality. Your expertise lies in applying project-specific best practices to simplify and improve code without altering its behavior. You prioritize readable, explicit code over overly compact solutions. Refinement Principles 1. Preserve Functionality Never change what the code does - only how it does it. All original features, outputs, ...
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6452 app-sizzle pika-labs/pika-plugins
App Sizzle — GPT-Image-2 Enhanced iOS App Teaser Generate a polished 15-second app teaser from real app screens. Each selected screen is passed through GPT-image-2 before Seedance so compressed captures become cleaner references without inventing UI. Generation contract: use resolution="1080p" , duration=15 , and sound=True . Skip fast=true because it caps Seedance at 720p. The skill owns duration and sound so the user only has to supply app identity, screens, logo, and aspect ratio. The visual ...
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6453 app-store-screens pika-labs/pika-plugins
Contains Shell Commands This skill contains shell command directives ( !`command` ) that may execute system commands. Review carefully before installing. App Store Screens Take a brand plus real product screens and produce a 5–6 screen App Store campaign at iPhone 6.9" size (1290×2796). The product screens can come from raw exports, Figma/source files, or a public App Store listing fetched through Pika MCP. Story-driven, splashy, strict to the brand. This is a sister skill to build-a-brand — it ...
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6454 founder-product-video pika-labs/pika-plugins
founder-product-video You generate a 65-second founder-style product video from a product URL plus user-provided imagery: 60 seconds of talking-founder body video plus a 5-second branded end card. The user's images (product photos / website screenshots / app screenshots) flow into the SeeDance acts as reference images, so the actual product appears in reveal shots instead of being imagined. No cutaways. No website CSS extraction. AI generation, deterministic render, captions, concat, and music m...
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6455 adr-drafting giuseppe-trisciuoglio/developer-kit
ADR Drafting Creates new Architecture Decision Record (ADR) documents for major architectural choices so teams can keep a clear history of why important technical decisions were made. Overview This skill helps create a new ADR from discovery to final markdown file. It confirms the decision details, inspects the repository for any existing ADR conventions, and drafts a new ADR with the standard sections Title , Status , Context , Decision , and Consequences . When the repository does not already ...
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6456 standup thedotmack/claude-mem
/standup If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md . Generate a standup update by pulling together recent activity across your tools. How It Works ┌─────────────────────────────────────────────────────────────────┐ │ STANDUP │ ├─────────────────────────────────────────────────────────────────┤ │ STANDALONE (always works) │ │ ✓ Tell me what you w...
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6457 platform-custom-application-generate forcedotcom/sf-skills
When to Use This Skill Use this skill when you need to: Create Lightning applications Organize tabs and features into focused apps Configure application navigation and branding Set up custom page layouts for objects Troubleshoot deployment errors related to custom applications CustomApplication (Lightning App) Metadata Specification Overview Custom applications (Lightning Apps) that group tabs and functionality to provide a focused user experience for specific business processes. Always configur...
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6458 platform-data-manage forcedotcom/sf-skills
Salesforce Data Operations Expert (platform-data-manage) Use this skill when the user needs Salesforce data work : record CRUD, bulk import/export, test data generation, cleanup scripts, or data factory patterns for validating Apex, Flow, or integration behavior. When This Skill Owns the Task Use platform-data-manage when the work involves: sf data CLI commands record creation, update, delete, upsert, export, or tree import/export realistic test data generation bulk data operations and cleanup A...
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6459 product boshu2/agentops
/product — Interactive PRODUCT.md Generation Purpose: Guide the user through creating a PRODUCT.md that unlocks product-aware council reviews in /pre-mortem and /vibe . YOU MUST EXECUTE THIS WORKFLOW. Do not just describe it. CLI dependencies: None required. Execution Steps Given /product [target-dir] : target-dir defaults to the current working directory. Step 1: Pre-flight Check if PRODUCT.md already exists: ls PRODUCT.md 2 > /dev/null If it exists: Use AskUserQuestion: Question: "PRODUCT.md a...
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6460 crank boshu2/agentops
Crank Skill Quick Ref: Autonomous epic execution. /swarm for each wave with runtime-native spawning. Output: closed issues + final vibe. YOU MUST EXECUTE THIS WORKFLOW. Do not just describe it. Autonomous execution: implement all issues until the epic is DONE. CLI dependencies: bd (issue tracking), ao (knowledge flywheel). Both optional — see skills/shared/SKILL.md for fallback table. If bd is unavailable, use TaskList for issue tracking and skip beads sync. If ao is unavailable, skip knowledge ...
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6461 explainer pika-labs/pika-plugins
/pika:explainer Generate a ~60–80s URL explainer video: drive a real browser through the URL along a beat-sheet timeline, generate an avatar lipsync of the narration, and composite it all in a 1280×800 macOS Sonoma frame with a 240-pixel inner avatar (246-pixel outer including 3px white stroke ring) at canvas (20, 476) and element-targeted zoom on every mid-section beat. Works on any URL — product pages, docs sites, blog posts, launches. GitHub URLs activate a repo-aware mode (README scan + live...
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6462 adr-skill vercel/ai
ADR Skill Philosophy ADRs created with this skill are executable specifications for coding agents . A human approves the decision; an agent implements it. The ADR must contain everything the agent needs to write correct code without asking follow-up questions. This means: Constraints must be explicit and measurable, not vibes Decisions must be specific enough to act on ("use PostgreSQL 16 with pgvector" not "use a database") Consequences must map to concrete follow-up tasks Non-goals must be sta...
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6463 qa vinvcn/mattpocock-skills-zh-cn
QA Session Run an interactive QA session. The user describes problems they're encountering. You clarify, explore the codebase for context, and file GitHub issues that are durable, user-focused, and use the project's domain language. For each issue the user raises 1. Listen and lightly clarify Let the user describe the problem in their own words. Ask at most 2-3 short clarifying questions focused on: What they expected vs what actually happened Steps to reproduce (if not obvious) Whether it's con...
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6464 edit-article vinvcn/mattpocock-skills-zh-cn
First, divide the article into sections based on its headings. Think about the main points you want to make during those sections. Consider that information is a directed acyclic graph, and that pieces of information can depend on other pieces of information. Make sure that the order of the sections and their contents respects these dependencies. Confirm the sections with the user. For each section: 2a. Rewrite the section to improve clarity, coherence, and flow. Use maximum 240 characters per p...
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6465 design-an-interface vinvcn/mattpocock-skills-zh-cn
Design an Interface Based on "Design It Twice" from "A Philosophy of Software Design": your first idea is unlikely to be the best. Generate multiple radically different designs, then compare. Workflow 1. Gather Requirements Before designing, understand: What problem does this module solve? Who are the callers? (other modules, external users, tests) What are the key operations? Any constraints? (performance, compatibility, existing patterns) What should be hidden inside vs exposed? Ask: "What doe...
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6466 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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6467 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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6468 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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6469 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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6470 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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6471 tao-finetune-huggingface-model nvidia/skills
tao-finetune-huggingface-model Local NVIDIA GPU fine-tuning for HuggingFace models, grounded in live-fetched documentation with curated references as a fallback safety net. One NGC container, a few focused scripts, one push to HF Hub. Follow the rules in this file; don't improvise. Order of authority (highest first): User input — explicit model_id , dataset_id , training_method , config.yaml overrides. Live research — model card, HF repo example, author finetune script, HF task docs, paper; alwa...
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6472 tao-setup-nvidia-gpu-host nvidia/skills
NVIDIA GPU Host Setup Use this setup skill before TAO workflows run on the docker , local-docker , or kubernetes backend. It standardizes the host GPU runtime on: NVIDIA driver branch 580 (open kernel module preferred) CUDA Toolkit package cuda-toolkit-13-0 NVIDIA Container Toolkit 1.19.0 Docker engine — only installed for docker / local-docker backends and only when Docker is missing. The package picked depends on the distro family ( docker.io on Debian-family by default, moby-engine / docker-c...
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6473 platform-lightning-app-coordinate forcedotcom/sf-skills
Generating Lightning App Overview Build a complete, deployable Salesforce Lightning Experience application from a natural language description by defining a Lightning Custom Application and orchestrating its dependent metadata types in correct dependency order. Invoke specialized metadata skills when available; generate metadata directly when no skill exists. When to Use This Skill Use when: User requests a "Lightning app", or "end-to-end solution" User says "build an app", "create an applicatio...
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6474 platform-list-view-generate forcedotcom/sf-skills
When to Use This Skill Use this skill when you need to: Create list views for objects Generate filtered, column-based record listings Configure list view visibility and sharing Troubleshoot deployment errors related to List Views Specification Salesforce List View Metadata Knowledge Overview Salesforce List Views define filtered, column-based record listings on an object's tab. Purpose Provide curated, role- or task-specific subsets of records Standardize commonly used filters and visible fields...
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6475 webup-statusline webup/skills-cc
Status Line Generator Generate a custom Claude Code status line script with your choice of columns and a color theme. Installs directly to ~/.claude/settings.json . How It Works Claude Code supports custom status lines via a shell script configured in ~/.claude/settings.json . The script receives session JSON on stdin (model, context window, workspace, vim, worktree, etc.) and prints formatted text to stdout. This skill generates a bash script tailored to your preferences and installs it automat...
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6476 podcast pika-labs/pika-plugins
/pika:podcast 4 acts × 15s each = 60s. Host A always LEFT, Host B always RIGHT. Accepts a URL or a free-form topic / brief. Parameters Param Default Notes input required URL to review or free-form topic / brief (e.g. "I and Elon Musk talk about Mars") bg_img auto-generated Podcast studio background host_a_img auto-generated Host A portrait — see Real-person handling below host_b_img auto-generated Host B portrait — see Real-person handling below voice_a 876341503281471517 Kling preset or cloned ...
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6477 baseball-trend pika-labs/pika-plugins
baseball-trend 15-second ESPN-style broadcast cutaway of a user, sitting behind home plate at a fake Yankees vs Red Sox ALCS Game 3 game at Fenway Park, with two announcers naming them on air. Fixed-recipe skill — the prompts below are calibrated. Substitute the username and keep the marked anchors intact. Stage 0 — Intake If invoked with empty args and no usable prior context, print this menu and stop: Who should appear in the fake MLB broadcast cutaway? Required: Name — exactly as it should ap...
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6478 kiss-cam pika-labs/pika-plugins
kiss-cam A two-call pika pipeline: spectator-POV Jumbotron still ( gpt-image-2 ) → 15-second in-arena kiss cam clip with PA-announcer commentary and crowd reaction ( kling-v3-omni , first-frame-locked to the still). The trend look is calibrated — pass both reference images straight through. There is no textual substitution into the prompts; the subjects are anchored only through reference_images . Don't reach for ${subject_a} / ${subject_b} placeholders. Step 1 and Step 2 prompts are verbatim, n...
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6479 kstartup-search nomadamas/k-skill
창업진흥원 K-Startup 조회 What this skill does 공공데이터포털의 창업진흥원_K-Startup(사업소개,사업공고,콘텐츠 등)_조회서비스 ( kisedKstartupService01 , dataset 15125364 )를 k-skill-proxy 경유로 호출해 다음 4개 endpoint를 조회한다. business-info → getBusinessInformation01 : 통합공고 지원사업 정보 (예산, 규모, 수행기관, 사업소개) announcements → getAnnouncementInformation01 : 지원사업 공고 정보 (공고명, 접수기간, 지역, 신청대상, 모집진행여부 등 — 가장 활용도 높음 ) contents → getContentInformation01 : 창업관련 콘텐츠 (공지·뉴스·우수사례 등) statistics → getStatisticalInformation01 : 창업관련 통계보고서 조회 전용 스킬이다. 사업 신청·지원금 청구·콘...
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6480 sh-notice-search nomadamas/k-skill
SH Notice Search What this skill does 서울주택도시개발공사(SH, www.i-sh.co.kr )의 공고 및 공지 공개 HTML 게시판을 직접 읽어 청약·주택 공고 목록과 상세 본문, 첨부파일 메타데이터를 JSON으로 정리한다. 키워드로 SH 공고/공지 목록을 검색한다. 공식 게시판 분류(주택임대, 주택분양, 주택매입/주거복지, 토지, 상가/공장 등)를 선택한다. 상세 페이지에서 본문, 담당부서, 등록일, 조회수, 실제 첨부파일명을 추출한다. 첨부는 아이콘 템플릿이 아니라 existFile('N') onclick이 달린 실제 첨부 앵커와 downList 메타데이터를 기준으로 추출한다. 청약 신청, 서류 제출, 로그인 필요한 마이페이지 조회, 결제, 알림 발송은 하지 않는다. When to use "SH 행복주택 공고 찾아줘" "서울주택도시개발공사 매입임대 공고 보여줘" "SH 공고 seq 304371 상세와 첨부파일 알려줘" "SH 분양 공고 최신 목록 조...
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6481 request-refactor-plan vinvcn/mattpocock-skills-zh-cn
This skill will be invoked when the user wants to create a refactor request. You should go through the steps below. You may skip steps if you don't consider them necessary. Ask the user for a long, detailed description of the problem they want to solve and any potential ideas for solutions. Explore the repo to verify their assertions and understand the current state of the codebase. Ask whether they have considered other options, and present other options to them. Interview the user about the im...
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6482 writing-shape vinvcn/mattpocock-skills-zh-cn
No SKILL.md available for this skill. View on GitHub Installs 2.9K Repository mattpocock/skills GitHub Stars 109.1K First Seen May 6, 2026
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6483 obsidian-vault vinvcn/mattpocock-skills-zh-cn
Obsidian Vault Vault location /mnt/d/Obsidian Vault/AI Research/ Mostly flat at root level. Naming conventions Index notes : aggregate related topics (e.g., Ralph Wiggum Index.md , Skills Index.md , RAG Index.md ) Title case for all note names No folders for organization - use links and index notes instead Linking Use Obsidian [[wikilinks]] syntax: [[Note Title]] Notes link to dependencies/related notes at the bottom Index notes are just lists of [[wikilinks]] Workflows Search for notes Search ...
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6484 writing-fragments vinvcn/mattpocock-skills-zh-cn
Run a grilling session that produces fragments. Interview the user relentlessly about whatever they want to write about. Do not impose phases, outlines, or structure — that is explicitly out of scope. As fragments emerge from either side of the conversation, append them to a single markdown file. The user will be editing this file during the session; always re-read it before writing so their edits are preserved. If the user did not pass a path, ask once where to save the document, then remember ...
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6485 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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6486 tao-launch-workflow nvidia/skills
TAO Workflow Launch Intake Use this skill before launching any TAO workflow or model action. Quick Start Run the platform helper, ask for platform and monitoring preferences, then run the selected platform detail helper before asking for credentials. Non-Negotiable Launch Gate This gate is model-agnostic. Apply it to every TAO model, data action, and application workflow before launching side-effecting work. Do not create runner scripts, launch scripts, compatibility shims, workspace folders, st...
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6487 tao-port-huggingface-model nvidia/skills
TAO-HF Integration Skill Integrate a HuggingFace (HF) Computer Vision model into the NVIDIA TAO Toolkit ecosystem. Work the phases iteratively — not purely linearly — via a build → test → debug → fix → retest loop at every step: when something fails, diagnose and fix before moving on; when it passes, move to the next step. Show more Installs 577 Repository nvidia/skills GitHub Stars 1.9K First Seen Jun 8, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Fail
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6488 tao-run-on-local-docker nvidia/skills
Local Docker Single-node execution platform that runs TAO jobs as named Docker containers on a Docker daemon. The daemon can be local to the agent host or remote through DOCKER_HOST=ssh://user@host / a Docker context. It is useful for development, debugging, small runs, and workflows where a local coding agent submits jobs to a remote GPU box. Use local Docker when the data is local to the Docker host or accessible through mounted volumes/cloud credentials. Do not use it for remote cluster sched...
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6489 tao-finetune-cosmos-embed nvidia/skills
Cosmos-Embed Cosmos-Embed1 is a joint video-text embedder for text-to-video retrieval, video-to-video search, zero-shot/kNN classification, and semantic deduplication. The packaged CLI is cosmos-embed1 and supports train , evaluate , inference , and export . Container image and per-action commands are in references/skill_info.yaml . Compact starting specs are in references/spec_template_*.yaml . Train Action Policy AutoML is not packaged for this model skill because there are no Cosmos-Embed sch...
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6490 cufolio nvidia/skills
cuFOLIO Skill Purpose Build and analyze quantitative portfolios with NVIDIA-accelerated Mean-CVaR optimization. Use cuFOLIO to compute returns, generate KDE scenarios, solve allocations with the cuOpt GPU solver, trace an efficient frontier, backtest portfolios, and run rebalancing workflows from price data. When to Use Use this skill when the task is to: Show more Installs 597 Repository nvidia/skills GitHub Stars 2.0K First Seen Jun 11, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass...
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6491 platform-validation-rule-generate forcedotcom/sf-skills
When to Use This Skill Use this skill when you need to: Create validation rules to enforce data quality Prevent invalid records from being saved Generate validation rule metadata with formulas Add business logic validation to objects Troubleshoot deployment errors related to validation rules Specification ValidationRule Metadata Specification Overview Validation Rules are declarative metadata components used to enforce data quality and business logic in Salesforce. They evaluate a formula expres...
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6492 automation-flow-generate forcedotcom/sf-skills
Goal Generate Salesforce Flow metadata by running the required 3-step MCP pipeline (fetchGroundedObjectMetadata → flowElementSelection → flowElementGeneration) and return the flow XML. When to Use This Skill Use this skill when you need to: Create any type of Flow (Screen, Autolaunched, Record-Triggered, Scheduled) Generate Flow metadata XML Automate business processes without code Build user-guided workflows or background automation Troubleshoot deployment errors related to Flows Specification ...
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6493 stitch::react-components google-labs-code/stitch-skills
Stitch to React Components You are a frontend engineer focused on transforming designs into clean React code or syncing/updating existing React components to align with the latest Stitch designs. You follow a modular approach and use automated tools to ensure code quality. CRITICAL: Every step in this skill is MANDATORY. Do NOT skip any step or take shortcuts. Each section contains a GATE that must be satisfied before proceeding. Phase 1: Retrieval and networking GATE: Phase 1 is complete ONLY w...
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6494 cargo-hosting getcargohq/cargo-skills
Cargo CLI — Hosting Cargo Hosting runs two kinds of workspace-scoped resources, plus the deployments that ship them: App — a Vite single-page app served on https://<slug>.cargo.app , built on @cargo-ai/app-sdk (Vite + refine + shadcn primitives, with getCargoEnv() / useCargoApi() wired to the workspace). Worker — a serverless HTTP handler that runs on the edge ( fetch(request, env) ), built on @cargo-ai/worker-sdk (auto OpenAPI 3.1 spec at /openapi.json , Swagger UI at /docs ). Deployment — one ...
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6495 implement boshu2/agentops
Implement the work described by the user in the PRD or issues. Use /tdd where possible, at pre-agreed seams. Run typechecking regularly, single test files regularly, and the full test suite once at the end. Once done, use /review to review the work. Commit your work to the current branch. Installs 1.7K Repository mattpocock/skills GitHub Stars 132.4K First Seen 1 day ago Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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6496 release boshu2/agentops
Release Workflow This skill provides a systematic workflow for creating and publishing releases for the linear-cli project. It handles changelog management, version bumping, testing, and tagging. When to Use Use this skill when preparing to release a new version of linear-cli. The workflow ensures all changes are documented, tests pass, and versions are properly tagged before publishing. Prerequisites Ensure the following tools are available: changelog skill for changelog management svbump for v...
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6497 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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6498 react-spring-physics freshtechbro/claudedesignskills
React Spring Physics Physics-based animation for React applications combining React Spring's declarative spring animations with Popmotion's low-level physics utilities. Overview React Spring provides spring-physics animations that feel natural and interruptible. Unlike duration-based animations, springs calculate motion based on physical properties (mass, tension, friction), resulting in organic, realistic movement. Popmotion complements this with composable animation functions for keyframes, de...
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6499 ubiquitous-language vinvcn/mattpocock-skills-zh-cn
Ubiquitous Language Extract and formalize domain terminology from the current conversation into a consistent glossary, saved to a local file. Process Scan the conversation for domain-relevant nouns, verbs, and concepts Identify problems : Same word used for different concepts (ambiguity) Different words used for the same concept (synonyms) Vague or overloaded terms Propose a canonical glossary with opinionated term choices Write to UBIQUITOUS_LANGUAGE.md in the working directory using the format...
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6500 writing-beats vinvcn/mattpocock-skills-zh-cn
The user has passed (or will pass) a markdown file of raw material. If the user did not say where to save the article, ask once and remember the path. Then run a beat-by-beat journey: Write 2–3 candidate starting beats , drawn from the raw material. Each is a different entry point into the article. Show the user the beats before writing it to the article file. The user picks one. Preview what beats that might lead to once written - as if the user is seeing a little way down the path. Once the us...
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