68 boosters for "agentic" — open source, verified from GitHub, ready to install
"description": "2389.ai skill collection including Firebase, CSS, testing, and development workflows",
"name": "agentic-seo", "description": "Agentic SEO Skills adds project brains, data-backed SEO analysis, content workflows, and technical SEO checks to Agentic SEO.", "name": "Agentic SEO"
You are capturing this session's repeatable process as a reusable skill. You have the full conversation history available to you. Analyze it directly to understand what process was performed, what tools were used, and how the user steered you. If a description was provided: The user described this p
A structured prompt booster for Windsurf that establishes best practices for agentic workflows, covering instruction handling, task analysis, implementation verification, and a complete tech stack (Next.js, Payload CMS, TypeScript). It helps developers build reliable AI-powered applications with clear guidelines and quality standards.
"name": "learnship", "description": "Agentic engineering done right — 49 structured workflows, persistent memory across sessions, integrated learning partner, and impeccable UI design system. Works with Claude Code, Windsurf, Cursor, Gemini CLI, OpenCode, and Codex.", "name": "Favio Vazquez",
"name": "agentic-marketing", "url": "https://github.com/gnoviawan" "description": "Full-stack agentic marketing suite — 21 specialist skills covering strategy, channels, conversion, and growth",
MCP server that enables previewing local HTML files and capturing screenshots within Claude, streamlining web development workflows by allowing developers to test and visualize HTML changes without leaving their AI assistant.
Execute verbatim. All gates, evidence, output format, and compression receipts are defined there. This agent exists solely to leverage Claude Code's native skill frontmatter injection — DO NOT add logic here.
Spotdb is an ephemeral data sandbox for AI workflows that provides secure, isolated database environments for agentic AI systems. It's useful for developers building AI agents and LLM applications that need safe data isolation and guardrails.
"description": "Spec-Driven Development: specifications compiled into executable, verifiable behavior", "url": "https://github.com/Dowwie" "homepage": "https://github.com/Dowwie/tasker",
Agentic MCP enables AI assistants to interact with MCP servers through socket-based communication, allowing discovery and execution of external tools with progressive disclosure. Developers and AI builders benefit by gaining structured access to MCP server capabilities without manual integration.
Goals is a Rust-based agentic CLI that enables Claude to delegate isolated tasks to subagents via the `invoke_subagent` tool, keeping the main agent's context lean and focused. Developers building multi-step AI workflows benefit from cleaner task decomposition and reliable single-request subagent execution.
"name": "inclusive-design-skills", "description": "Agentic skills for designing accessible, inclusive products — from cognitive accessibility to adaptive interfaces, inclusive research, and accessibility decision-making.", "cognitive-accessibility",
"name": "agentic-jumpstart-marketplace", "name": "Agentic Jumpstart", "email": "webdevcody@gmail.com"
AgentAsJudge is an agentic evaluation framework that enables AI to systematically assess and compare the quality of multiple-choice questions across educational value, clarity, and answerability. It benefits educators, content creators, and assessment teams looking to automate quality control of exam and quiz questions.
AgentAsJudge is an agentic evaluation framework that enables AI systems to critically review educational introductions by validating them against specified quality metrics and providing constructive feedback. It benefits educators, instructional designers, and developers building AI-assisted learning platforms who need reliable, fair assessment of educational content.
"name": "beastmode", "description": "Agentic workflow skills for Claude Code. Activate beastmode.", "version": "0.43.0",
Lár Windsurf Rules is a cursor ruleset that guides developers in building graph-based AI agents using the Lár framework with strict typing, explicit node linking, and auditable patterns. It benefits developers building complex, self-correcting agentic systems who need clear structural guidelines.
"name": "publishing-astro-websites-agentic-skill", "name": "Richard Hightower", "email": "rhightower@spillwave.com"
"name": "maker-framework", "description": "Massively Decomposed Agentic Processes (MAD) - Break complex tasks into atomic steps with near-zero errors", "name": "MAKER Framework Team",
