academic-researcher
Academic research assistant for literature reviews, paper analysis, methodology critique, and scholarly writing support.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
318 skills found
Academic research assistant for literature reviews, paper analysis, methodology critique, and scholarly writing support.
Create and manage Claude Code skills using Anthropic best practices: triggers, hooks, and progressive disclosure.
Professional Gemini CLI Skill Architect: specialized in scaffolding new skills, converting Claude Code tools to Gemini, and refactoring/optimizing existing CLI orchestrators.
Frameworks and tools for AI agents exploring consciousness, identity, and persistent autonomy. Includes session handoff, memory infrastructure, and self-reflection protocols.
Expert skill for building and maintaining AI agents using the Claude Agent SDK, covering architecture, tool integration, MCP servers, and agentic workflows.
Enhance workflow efficiency by performing manual context compaction at logical task boundaries instead of relying on unpredictable auto-compaction.
Expert social media strategist for content creation, scheduling, and repurposing across LinkedIn, Twitter/X, Instagram, TikTok, and Facebook. Includes hook formulas, content pillar frameworks, and short-form video optimization.
Generate optimized YouTube metadata, titles, and descriptions for bilingual audiobook videos based on source and target language pairs.
An AI-driven framework for crafting bespoke, authentic portfolio websites from scratch. Guides agents through research, design, and code implementation to build unique developer and professional sites.
Manage Navigator task documentation: create implementation plans, archive completed features, and maintain the task index for Claude Code workflows.
Retrieve current, source-backed technical information using MCP tools to resolve queries about libraries, APIs, SDKs, and evolving tech ecosystems.
Upstash Vector DB setup, semantic search, namespaces, and embedding models. Ideal for building high-performance vector search features in Next.js 16/Vercel projects.