474 boosters for "cre" — open source, verified from GitHub, ready to install
Coordinate heterogeneous AI teams: one creates, two review from different angles. Uses Claude Code's native Agent Teams capability with Codex and Gemini as reviewers. Different AI models have fundamentally different review tendencies. They don't just find different bugs — they look at completely dif
name: "PDFKit Generation" description: "Generate professional PDFs with PDFKit in Node.js. Use when creating pitch decks, reports, or styled documents with AGNT branding. Covers large script handling, Unicode-safe characters, and brand design patterns." category: "document-processing"
Automates the creation of well-structured GitHub issues for the MCPSpy project. Use the CLI tool to create GitHub issues. If the issue body is rather long, write it to a temporary markdown file and use the option.
Analyzes ANY input to find, improve, or create the right skill. Start with least privilege (, , , , ). Only add higher-risk tools when explicitly required:
Create detailed implementation plan using the implementation-planner agent. ⚠️ Requires ResearchPack from or 1. Checks ResearchPack exists and passed validation (80+)
Purpose: Make agents instantly productive. Follow ONLY patterns proven in this repo; don’t invent abstractions. 1. Copy structure from an existing sample; reference . 2. Implement with same pattern (parse settings -> add services -> ).
A fully autonomous AI research agent that ingests sources into Google NotebookLM, runs deep web research, synthesizes knowledge through cited Q&A and 9 downloadable artifact types, creates polished content drafts, and optionally publishes to social platforms.
Build Android applications following Google's official architecture guidance, as demonstrated in the NowInAndroid reference app. → Read modularization.md for project structure → Create feature module with and submodules
Beads is available for task tracking. Use tools to manage issues (the user interacts via commands). Create a pull request for the current branch using GitHub MCP tools. Current branch status:
is a local CLI tool for tracking tasks and records. Data is stored in SQLite at . 1. Search first: — check for duplicates before creating 2. Create if new:
This Skill provides practical guidance for using the Upstash Workflow SDK to build serverless workflows with TypeScript. Developers building event-driven applications on Upstash will find it invaluable for quickly setting up and managing workflow endpoints.
This booster enables AI assistants to interact with Obsidian vaults through CLI commands—reading, creating, and searching notes, managing tasks, and developing plugins. It's useful for users who want to automate Obsidian workflows or debug plugin development with Claude's code execution.
This skill generates reusable Relay-based Nodes components that: Activate this skill when users ask to: The skill automatically determines:
Guide the practitioner through creating a complete, linked artifact chain for a new feature: PRD slice → Technical Specification → ADR identification → Task breakdown. Ask the practitioner: 1. What is the feature name? (5 words max for the title)
sf-deploy automates Salesforce DevOps workflows including metadata deployments, org management, and CI/CD pipeline setup using Salesforce CLI v2. Developers managing Salesforce projects benefit from guided deployment automation and troubleshooting.
Run this bash block first, before any analysis: This is the first time clearshot is running — no config exists yet. Before doing any analysis, tell the user to run the onboarding setup. Say something brief like: "clearshot needs a quick first-run setup (two questions, arrow keys + enter):"
"name": "xiaohongshu-skills", "email": "xiaoluopupu@gmail.com" "description": "Complete Xiaohongshu (Little Red Book) operations skills library - 144 skills covering content creation, account management, community engagement, data analytics, e-commerce conversion, platform rules, tools ecosystem, ma
This MCP server bridges n8n workflow automation with Claude by providing programmatic access to workflows, executions, and credentials through the Model Context Protocol. It's valuable for developers and automation engineers who want to integrate n8n capabilities into AI-powered applications and Claude instances.
Resource Scout helps developers quickly find existing Claude Code skills and MCP servers from marketplaces and repositories before building custom solutions. It's essential for anyone looking to avoid reinventing the wheel and discover pre-built integrations.
A practical guide for deploying serverless Python applications on Modal, enabling developers to run GPU-accelerated AI/ML workloads, web APIs, and batch jobs with minimal infrastructure configuration.
Automates GitHub issue creation and management by inferring type, labels, and milestones from conversation context, saving developers time on routine issue tracking tasks.
ALWAYS use when: creating/editing marimo notebooks, working with any .py file containing @app.cell decorators, building reactive Python notebooks, doing exploratory data analysis in notebook form, converting Jupyter (.ipynb) to marimo, or when user mentions "marimo", "reactive notebook", or asks for an interactive Python notebook. Covers marimo CLI (edit, run, convert, export), UI components (mo.ui.*), layout functions, SQL integration, caching, state management, and wigglystuff widgets. If a task involves notebooks and Python, invoke this skill first.
Analyze, review, and provide recommendations for distributed system designs. Use when: (1) Reviewing existing system architectures for gaps or improvements, (2) Analyzing system designs for scalability, reliability, or performance issues, (3) Providing recommendations on load balancing, caching, databases, sharding, replication, messaging, rate limiting, authentication, resilience, or monitoring, (4) Assessing trade-offs in system design decisions, (5) Creating system design review documents with gaps and recommendations. Triggers: "review my system design", "analyze this architecture", "what are the gaps", "system design recommendations", "scalability review", "reliability analysis".
A Google Calendar CLI tool that enables AI assistants to view, create, manage, and check availability across multiple calendar accounts. Useful for developers and AI applications that need programmatic calendar integration.
