Total 36,907 skills
Showing 12 of 36907 skills
Analyze business segment performance and reporting from SEC filings using Octagon MCP. Use when researching segment revenue, operating income, margins, geographic breakdown, and segment restructuring from 10-K and 10-Q filings.
Automate Google NotebookLM - create notebooks, add sources, generate podcasts/videos/quizzes, download artifacts. Activates on explicit /notebooklm or intent like "create a podcast about X"
Audit websites for SEO, technical, content, and security issues using squirrelscan CLI. Returns LLM-optimized reports with health scores, broken links, meta tag analysis, and actionable recommendations. Use when analyzing websites, debugging SEO issues, or checking site health.
Converts a Refound/Lenny Skill into a high-density, agent-executable Skill Pack (Agent Skills standard). Output must be in English.
Create a build-ready spec + design doc pack (low-fi diagram, user flows/states, prototype brief, acceptance criteria) for a feature or UX change. Use for spec, design doc, feature spec, technical spec, interaction spec.
Create an Enterprise Deal Execution Pack (buying committee map + champion enablement, “no decision” prevention plan + mutual action plan, procurement/security packet, and POC-as-business-case plan + ROI model). Use for enterprise sales, procurement, security reviews, and enterprise pilots/POCs. Category: Sales & GTM.
LLM-based deep iterative search and reasoning service. Specializes in handling complex problems, automatically decomposing queries, conducting multi-round iterative retrieval, evaluating and verifying information, and finally generating comprehensive and structured deep analysis reports.
Review an implemented .plan.md by executing the instructions in its
Efficiently route multi-stop trips with time management. Include transportation, restaurant/activity reservations timeline, and buffer time for spontaneity.
Master React Router v6 for production routing with error boundaries, lazy loading, and navigation guards
AWS development with CDK best practices, serverless patterns, cost optimization, and event-driven architecture. Use when deploying to AWS, writing Lambda functions, configuring API Gateway, working with DynamoDB, S3, or any AWS service.
Particle lifecycle management—emission/spawning, death conditions, object pooling, trails, fade-in/out, and state transitions. Use when particles need birth/death cycles, continuous emission, trail effects, or memory-efficient recycling.