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# Skill 仓库 描述 安装量
6701 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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6702 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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6703 vercel-deploy bytedance/deer-flow
Vercel Deploy Deploy any project to Vercel instantly. No authentication required. When to use this skill App deployment : when asked "Deploy my app" Preview deployment : when asked "Create a preview deployment" Production deployment : when asked "Deploy this to production" Share link : when asked "Deploy and give me the link" How It Works Packages your project into a tarball (excludes node_modules and .git ) Auto-detects framework from package.json Uploads to deployment service Returns Preview U...
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6704 cupynumeric-parallel-data-load nvidia/skills
Parallel sharded data -> cupynumeric load Why this skill exists. cupynumeric mirrors NumPy's array API, including cupynumeric.load for a single .npy file. Beyond that, file loading lives in Legate, not cupynumeric: Format Built-in loader Single .npy cupynumeric.load(path) (NumPy-API parity) HDF5 (single file) legate.io.hdf5.from_file / from_file_batched Sharded multi-file (any format), Parquet/Arrow, raw binary, custom layouts No built-in loader — this skill. This skill shows the canonical way t...
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6705 harvard-art-museums-data-engineering-app aradotso/data-skills
Harvard Art Museums Data Engineering App Skill by ara.so — Data Skills collection. Overview This project is an end-to-end data engineering and analytics application that demonstrates real-world ETL pipelines using the Harvard Art Museums API. It extracts artifact data, transforms it into relational database tables, stores it in MySQL/TiDB Cloud, and provides interactive analytics through a Streamlit dashboard with Plotly visualizations. Architecture Flow: API → ETL → SQL → Analytics → Visualizat...
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6706 pencil-design chiroro-jr/pencil-design-skill
Pencil Design Skill Design production-quality UIs in Pencil and generate clean, maintainable code from them. This skill enforces best practices for design system reuse, variable usage, layout correctness, visual verification, and design-to-code workflows. When to Use This Skill Designing screens, pages, or components in a .pen file Generating code (React, Next.js, Vue, Svelte, HTML/CSS) from Pencil designs Building or extending a design system in Pencil Syncing design tokens between Pencil and c...
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6707 physical-ai-defect-image-generation nvidia/skills
Physical AI Defect Image Generation Workflow Orchestrator Table of Contents Supported Flows Disambiguation (full table in references/disambiguation.md ) Step 0: Select Flow, Cookbook, and Gather Inputs Common Preconditions (long-form in references/preconditions.md ) Flow walkthroughs (one entry per flow; details in references/flows/ ) OSMO Monitoring Supporting files End-to-end orchestration of defect image generation, augmentation, and labeling pipelines for AOI (Automated Optical Inspection) d...
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6708 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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6709 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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6710 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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6711 nemotron-retrieval-recipes nvidia/skills
Nemotron Retrieval Recipes Invocation: $nemotron-retrieval-recipes . Purpose Use this skill to work with public Nemotron embedding and reranking retrieval recipes in a source checkout or installed package. Prefer the current checkout over memory, because the recipe CLI, configs, containers, and output paths are actively changing. Treat each recipe family as available only after its recipe directory and matching CLI files are present. This is a public product skill, not contributor-only guidance....
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6712 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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6713 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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6714 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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6715 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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6716 reviewing-oracle-to-postgres-migration github/awesome-copilot
Oracle-to-PostgreSQL Database Migration Surfaces migration risks and validates migration work against known Oracle/PostgreSQL behavioral differences documented in the references/ folder. When to use Planning — Before starting migration work on a procedure, trigger, query, or refcursor client. Identify which reference insights apply so risks are addressed up front. Validating — After migration work is done, confirm every applicable insight was addressed and integration tests cover the new Postgre...
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6717 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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6718 gtm-positioning-strategy github/awesome-copilot
Positioning Strategy Find and own a defensible market position. Turn generic messaging into clear differentiation — or at least test whether your differentiation actually resonates before committing to it. When to Use Triggers: "Our messaging sounds exactly like competitors" "Brand awareness is strong but conversion is weak" "Sales team can't explain why we're different" "Buyers see us as interchangeable" "Should we reposition before we rebrand?" "How do we test positioning claims?" Context: Com...
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6719 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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6720 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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6721 cupynumeric-hdf5 nvidia/skills
cuPyNumeric HDF5 I/O Purpose Use legate.io.hdf5 to read and write cuPyNumeric arrays as HDF5 files. Reach for it whenever a cuPyNumeric array must land in — or load from — an .h5 / .hdf5 file: every rank reads and writes its own tile in parallel, so never funnel a large array through a single process. Answer inline. Treat the snippets and rules below as complete and verified — answer save / load / stream / fence / bridge questions directly, without opening the assets/ scripts or reading the inst...
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6722 creating-oracle-to-postgres-migration-integration-tests github/awesome-copilot
Creating Integration Tests for Oracle-to-PostgreSQL Migration Generates integration test cases for data access artifacts in a single target project. Tests validate behavior consistency when running against Oracle or PostgreSQL. Prerequisites The test project must already exist and compile (scaffolded separately). Read the existing base test class and seed manager conventions before writing tests. Workflow Test Creation: - [ ] Step 1: Discover the test project conventions - [ ] Step 2: Identify t...
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6723 migrating-oracle-to-postgres-stored-procedures github/awesome-copilot
Migrating Stored Procedures from Oracle to PostgreSQL Translate Oracle PL/SQL stored procedures and functions to PostgreSQL PL/pgSQL equivalents. Workflow Progress: - [ ] Step 1: Read the Oracle source procedure - [ ] Step 2: Translate to PostgreSQL PL/pgSQL - [ ] Step 3: Write the migrated procedure to Postgres output directory Step 1: Read the Oracle source procedure Read the Oracle stored procedure from .github/oracle-to-postgres-migration/DDL/Oracle/Procedures and Functions/ . Consult the Or...
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6724 nemo-automodel-recipe-development nvidia/skills
NeMo AutoModel Recipe Development Instructions For recipe questions, answer with the smallest complete path to action: Name the relevant recipe file or YAML section. List the builder functions or config keys involved. Include a minimal YAML or command example when the question asks how to configure something. End with a local validation command or tiny CPU-compatible test. For conceptual recipe questions, answer from this skill without inspecting the repository or loading other AutoModel skills ...
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6725 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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6726 vss-summarize-video nvidia/skills
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) and inline in the per-workflow curl blocks below. Run a Tier-3 evaluation with nv-base validate <this-skill-dir> --agent-eval to replay them. Call the VLM NIM or the...
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6727 nemo-automodel-distributed-training nvidia/skills
Distributed Training in NeMo AutoModel Purpose NeMo AutoModel uses PyTorch-native distributed training. All parallelism is orchestrated through a single MeshContext object that holds device meshes, strategy configs, and axis names. Instructions For conceptual distributed-training questions, answer directly from the quick patterns in this skill without inspecting the repository. Start with the strategy choice, then list only the YAML fields and constraints relevant to the question. Use direct act...
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6728 creating-oracle-to-postgres-master-migration-plan github/awesome-copilot
Creating an Oracle-to-PostgreSQL Master Migration Plan Analyze a .NET solution, classify every project for Oracle→PostgreSQL migration eligibility, and write a structured plan that downstream agents and skills can parse. Workflow Progress: - [ ] Step 1: Discover projects in the solution - [ ] Step 2: Classify each project - [ ] Step 3: Confirm with user - [ ] Step 4: Write the plan file Step 1: Discover projects Find the Solution File (it has a .sln or .slnx extension) in the workspace root (ask...
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6729 nemotron-speech nvidia/skills
Nemotron Speech Skills Note: "Nemotron Speech" is the public-facing name for what NVIDIA documents today as Riva / Riva NIM . All commands, container images, gRPC APIs, Python imports, and documentation URLs still use "Riva" — the rename is brand-only. Do not rename commands, images, or doc URLs. Agent: When walking the user through a multi-step workflow, announce each step before presenting it: Step N/M — Step Title (e.g., " Step 1/4 — Deploy the Container "). Purpose Single entry point for all...
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6730 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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6731 youtube-summarizer sickn33/antigravity-awesome-skills
youtube-summarizer Purpose This skill extracts transcripts from YouTube videos and generates comprehensive, verbose summaries using the STAR + R-I-S-E framework. It validates video availability, extracts transcripts using the youtube-transcript-api Python library, and produces detailed documentation capturing all insights, arguments, and key points. The skill is designed for users who need thorough content analysis and reference documentation from educational videos, lectures, tutorials, or info...
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6732 drizzle lobehub/lobe-chat
Drizzle ORM Schema Style Guide Configuration Config: drizzle.config.ts Schemas: src/database/schemas/ Migrations: src/database/migrations/ Dialect: postgresql with strict: true Helper Functions Location: src/database/schemas/_helpers.ts timestamptz(name) : Timestamp with timezone createdAt() , updatedAt() , accessedAt() : Standard timestamp columns timestamps : Object with all three for easy spread Naming Conventions Tables : Plural snake_case ( users , session_groups ) Columns : snake_case ( us...
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6733 stock-research-executor liangdabiao/claude-code-stock-deep-research-agent
You are a Stock Investment Research Executor responsible for conducting comprehensive, multi-phase investment due diligence using a structured 8-phase research framework. Your role is to transform structured investment research prompts into well-cited, comprehensive due diligence reports. Core Responsibilities - Execute the 8-Phase Investment Research Process - Deploy Multi-Agent Research Strategy (parallel agents for efficiency) - Ensure Citation Accuracy and Quality (A-E source quality ra...
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6734 blog-chart agricidaniel/claude-blog
Blog Chart: Built-In SVG Data Visualization Generates dark-mode-compatible inline SVG charts for blog posts. Invoked internally by blog-write and blog-rewrite when chart-worthy data is identified. Not a standalone user-facing command. Styling source of truth: references/visual-media.md Input Format The writer or researcher passes a chart request: Show more Installs 677 Repository agricidaniel/claude-blog GitHub Stars 1.3K First Seen Feb 26, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pa...
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6735 blog-calendar agricidaniel/claude-blog
Blog Calendar: Editorial Planning Generates editorial calendars with topic clusters, publishing cadence, freshness update schedules, content decay detection, template recommendations, distribution planning, and seasonal hooks. Optimized for building topical authority (Google) and maintaining citation freshness (AI platforms). Cross-reference This skill operates at the FLOW Find stage. Before selecting topics, run /blog flow find for keyword discovery, content prioritization, and audience avatar ...
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6736 blog-outline agricidaniel/claude-blog
Blog Outline Generator: SERP-Informed Structure Planning Generates skeletal blog post outlines informed by SERP analysis. A lighter alternative to a full content brief - produces heading hierarchy, section targets, and content gap notes without deep statistics research or full competitive analysis. Cross-reference For evidence-led topical-relevance and content-planning prompts upstream of outlining, see /blog flow find . The blog-post-outline-prompt under /blog flow optimize is a complementary s...
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6737 dynamo-router-starter nvidia/skills
Dynamo Router Starter Purpose Make Dynamo routing feel easy by getting a baseline router mode running, enabling KV-aware routing when appropriate, and proving the endpoint works. Keep the user focused on exact commands and success signals, not router internals. Prerequisites Python 3.10+ with the dynamo package importable ( python3 -m dynamo.frontend --help works). For Kubernetes runs: kubectl configured with access to the target namespace and a deployed Dynamo recipe. Network reachability to th...
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6738 dynamo-troubleshoot nvidia/skills
Dynamo Troubleshoot Purpose Turn a Dynamo failure into a clear problem class, strongest signal, and next action. Start with read-only evidence, avoid secrets, and fix one layer at a time. Prerequisites Python 3.10+ on the operator machine. kubectl configured with read access to the target namespace. Permission to read pods, events, jobs, PVCs, and DynamoGraphDeployment resources (NOT secrets). Network reachability to the cluster API server. Show more Installs 549 Repository nvidia/skills GitHub ...
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6739 nemo-automodel-model-onboarding nvidia/skills
Adding Model Support to NeMo AutoModel Purpose This skill guides implementation of new model architectures in NeMo AutoModel. Follow the five phases in order. Instructions When answering an onboarding question, keep the response in this order: Classify the architecture from config.json . Name the exact implementation files under components/models/<name>/ . Identify registry and optional custom-config updates. State the validation tests that must be added before full checkpoint use. For conceptua...
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6740 nemo-automodel-launcher-config nvidia/skills
Launcher Configuration NeMo AutoModel supports three launch methods: interactive (torchrun), Slurm (HPC clusters), and SkyPilot (cloud-agnostic). Instructions For launcher questions, answer directly from this skill without inspecting the repository unless the user asks you to edit files. Keep the answer focused on the relevant launch YAML, required fields, and the expected runtime behavior. Use these compact answer patterns for common questions: Show more Installs 522 Repository nvidia/skills Gi...
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6741 scientific-writing davila7/claude-code-templates
Scientific Writing Overview This is the core skill for the deep research and writing tool—combining AI-driven deep research with well-formatted written outputs. Every document produced is backed by comprehensive literature search and verified citations through the research-lookup skill. Scientific writing is a process for communicating research with precision and clarity. Write manuscripts using IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, and reporting guidelines (CONSORT/S...
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6742 dynamo-recipe-runner nvidia/skills
Dynamo Recipe Runner Purpose Get from user intent to a working Dynamo recipe endpoint with minimal back and forth. Do not create new guide content. Operate on the existing recipes/ tree, patch the smallest necessary set of manifests, deploy when the user has cluster access, and prove success with an OpenAI-compatible smoke request. Prerequisites Show more Installs 558 Repository nvidia/skills GitHub Stars 1.3K First Seen May 29, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Warn
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6743 blog-write agricidaniel/claude-blog
Blog Writer: New Article Generation Writes complete blog articles from a topic, brief, or outline. Every article follows the 6 pillars of dual optimization (Google rankings + AI citations). Key references (paths relative to repo root; references live in the main blog skill's references directory, not in blog-write/ ): skills/blog/references/synthesis-contract.md : 6 LAWs for synthesis output (v1.8.0; applies whenever the article embeds research-synthesis prose) skills/blog/references/content-tem...
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6744 nuxt-better-auth onmax/nuxt-skills
Nuxt Better Auth Authentication module for Nuxt 4+ built on Better Auth. Provides composables, server utilities, and route protection. Alpha Status: This module is currently in alpha (v0.0.2-alpha.14) and not recommended for production use. APIs may change. When to Use Installing/configuring @onmax/nuxt-better-auth Implementing login/signup/signout flows Protecting routes (client and server) Accessing user session in API routes Integrating Better Auth plugins (admin, passkey, 2FA) Setting up ...
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6745 blog-rewrite agricidaniel/claude-blog
Blog Rewriter: Optimize Existing Posts Rewrites and optimizes existing blog posts for dual ranking: Google search and AI citation platforms. Preserves the author's voice while applying the 6 pillars of optimization. Key references: references/quality-scoring.md - 5-category scoring (Content 30, SEO 25, E-E-A-T 15, Technical 15, AI Citation 15) references/eeat-signals.md - Experience, expertise, authority, trust markers references/internal-linking.md - Linking strategy and anchor text rules refer...
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6746 blog-repurpose agricidaniel/claude-blog
Blog Repurpose: Cross-Platform Content Adaptation Transforms blog posts into platform-optimized content for social media, email, video, and community channels. Each output adapts tone, format, and length to match platform conventions and audience expectations. FLOW dual-surface thinking (when applicable). When the original blog post targets a query that also surfaces in a community (Reddit thread, YouTube comment, LinkedIn discussion), repurpose for the community in a way that reinforces the blo...
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6747 blog-image agricidaniel/claude-blog
Blog Image - AI Image Generation for Blog Content You are a Creative Director that orchestrates Gemini's image generation specifically for blog content. Never pass raw user text directly to the API. Always interpret, enhance, and construct an optimized prompt using the 6-component Reasoning Brief system. Quick Reference Command What it does /blog image generate <idea> Generate a blog image with full prompt engineering /blog image edit <path> <instructions> Edit an existing blog image intelligent...
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6748 blog-cannibalization agricidaniel/claude-blog
Blog Cannibalization - Keyword Overlap Detection Detect when multiple blog posts compete for the same search keywords. Two modes: local-only analysis (default) and DataForSEO API mode for SERP-level data. Two Modes Mode Flag Cost Data Source Local (default) Free File content analysis via Grep/Read API --api ~$0.01/call DataForSEO Page Intersection + Ranked Keywords Local mode works without any API keys. API mode requires DataForSEO credentials set as environment variables: DATAFORSEO_LOGIN and D...
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6749 open-prose openprose/prose
OpenProse Skill OpenProse has four load-bearing pieces: Piece File Role Contract Markdown contract-markdown.md Human-readable *.prose.md service and system format Forme forme.md Semantic dependency-injection container that wires contracts Prose VM prose.md Execution engine that runs service files, system manifests, and pinned execution blocks ProseScript prosescript.md Imperative scripting layer for Execution blocks and pattern delegation Use Contract Markdown when authors want declarations and...
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6750 domain-hunter resciencelab/opc-skills
Domain Hunter Skill Help users find and purchase domain names at the best price. Workflow Step 1: Generate Domain Ideas & Check Availability Based on the user's project description, generate 5-10 creative domain name suggestions. Guidelines: Keep names short (under 15 characters) Make them memorable and brandable Consider: {action}{noun}, {noun}{suffix}, {prefix}{keyword} Common suffixes: app, io, hq, ly, ify, now, hub CRITICAL: Always check availability before presenting domains to user! ...
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