majiayu000
GitHub profile for majiayu00025515 skills
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majiayu000 / creating-bookmarklets
Creates browser-executable JavaScript bookmarklets with strict formatting requirements. Use when users mention bookmarklets, browser utilities, dragging code to bookmarks bar, or need JavaScript that runs when clicked in the browser toolbar.
majiayu000 / creating-bookmarklets
Creates browser-executable JavaScript bookmarklets with strict formatting requirements. Use when users mention bookmarklets, browser utilities, dragging code to bookmarks bar, or need JavaScript that runs when clicked in the browser toolbar.
majiayu000 / nushell
Guide for using Nushell for structured data pipelines and scripting. Use when writing shell scripts, processing structured data, or working with cross-platform automation.
majiayu000 / java-dev
Java 开发规范,包含命名约定、异常处理、Spring Boot 最佳实践等
majiayu000 / tailwind
Tailwind CSS v4 performance optimization and best practices guidelines (formerly tailwindcss-v4-style). This skill should be used when writing, reviewing, or refactoring Tailwind CSS v4 code to ensure optimal build performance, minimal CSS output, and correct usage of v4 features. Triggers on tas...
majiayu000 / team-topologies
Four fundamental team types and interaction modes from Team Topologies
majiayu000 / agent-roles-core
Core agent role definitions and responsibilities used across repositories.
majiayu000 / starting-milestones
Use this skill when starting a new milestone cycle, beginning the next version, creating a new milestone, or planning what's next after completing a milestone. Triggers include "new milestone", "start milestone", "next milestone", "create milestone", and "milestone cycle".
majiayu000 / review-agent-native
Use this skill when reviewing code to ensure features are agent-native - that any action a user can take, an agent can also take, and anything a user can see, an agent can see. This enforces the principle that agents should have parity with users in capability and context.
majiayu000 / scientific-schematics
Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biologica...
majiayu000 / gh-pr
Create, update, and comment on GitHub pull requests with focus on material impact, safety, and human reviewability
majiayu000 / privacy-risk-assessment
Assess data privacy and compliance risks in pilot data workflows and outputs. Use when evaluating data handling practices, consent requirements, and privacy regulations for pilot initiatives.
majiayu000 / screpcombiningexpression
Combine scTCR/BCR repertoire data with scRNA-seq expression data using `scRepertoire::combineExpression()`. This process integrates immune receptor information (CDR3 sequences, V(D)J genes, clonotypes) into a Seurat object's metadata, enabling clonotype-aware gene expression analysis.
majiayu000 / fastapi
FastAPI Python framework. Covers REST APIs, validation, dependencies, security. Keywords: Pydantic, async, OAuth2, JWT.
majiayu000 / creating-skills
Use when creating new Claude Code skills or improving existing ones - ensures skills are discoverable, scannable, and effective through proper structure, CSO optimization, and real examples
majiayu000 / moai-foundation-claude
Canonical Claude Code skill authoring kit covering agent Skills, sub-agent templates, custom slash commands, orchestration patterns, hooks, memory, settings, and IAM permission rules aligned with official documentation.
majiayu000 / ralph
Create and run Ralph loops for structured AI-driven development. Triggered by "create a ralph loop for X" or "ralph plan for X". Uses interview to clarify requirements, expert review via rp-cli, creates phased task plans, and executes in YOLO mode.
majiayu000 / create-feature
Creates Features following the T-Minus-15 process template. Features represent significant deliverables that contain multiple User Stories. Includes proper metadata, MoSCoW prioritization, effort estimates, deliverables, and benefit hypothesis.
majiayu000 / Chapter 4 - Self-Awareness as a Foundational Skill
