Agent Skills Hub

coding-tutor

Your personal AI coding tutor that creates customized tutorials based on your actual codebase, tracks your learning progress, and uses spaced repetition to ensure mastery.

feishu-fetch-doc

Fetch and parse Feishu (Lark) cloud documents into Markdown, with support for media handling and Wiki space navigation.

skillsdotmd_web

A scaffolding tool for generating production-ready Model Context Protocol (MCP) servers, including boilerplate, typed handlers, schema definitions, and test stubs for AI agent integrations.

dependency-analysis

Analyze Kubernetes controller code to generate contract-compliant dependency graph artifacts for the Kamera coverage strategy.

landing-page-angle-tester

Generate diverse landing page narrative angles, define target audiences, and specify required evidence for conversion-focused marketing workflows.

research-grants

Draft competitive research proposals for NSF, NIH, DOE, DARPA, and NSTC. Master agency-specific criteria, budget preparation, visual schematics, and submission compliance.

manufacturing-failure-reason-codebook-normalization

Normalizes testing defect logs by correcting typos, abbreviations, and ambiguous descriptions based on product-specific codebooks and station validation.

margin-management

Monitor and manage margin-living strategy by tracking balances, interest costs, and coverage ratios. Provides automated scaling recommendations and safety alerts based on portfolio-to-margin thresholds.

wrap

Automated session cleanup and documentation tool. Proactively updates CLAUDE.md, detects automation patterns, extracts insights, and organizes pending tasks.

bmad-planner

Interactive tool for generating Business, Model, Architecture, and Design (BMAD) planning documentation for feature development.

make-slide

Generate professional, single-file HTML presentations with speaker notes. Supports themes, layouts, and PPTX export for decks, talks, and pitches.

ship-learn-next

Transform passive learning content like transcripts and tutorials into actionable Ship-Learn-Next cycles with concrete implementation plans and progress-oriented quests.