Claude Skills by shengdabai

Consistent error patterns, validation approaches, and recovery strategies. Use when implementing input validation, designing error responses, handling failures gracefully, or establishing logging practices. Covers operational vs programmer errors, user-facing vs internal errors, and recovery mechanisms.

RICE, MoSCoW, Kano, and value-effort prioritization frameworks with scoring methodologies and decision documentation. Use when prioritizing features, evaluating competing initiatives, creating roadmaps, or making build vs defer decisions.

Identify existing codebase patterns (naming conventions, architectural patterns, testing patterns) to maintain consistency. Use when generating code, reviewing changes, or understanding established practices. Ensures new code aligns with project conventions.

Requirement gathering techniques, stakeholder analysis, user story patterns, and specification validation. Use when clarifying vague requirements, resolving conflicting needs, documenting specifications, or validating requirements with stakeholders.

Auto-detect project tech stacks (React, Vue, Express, Django, etc.). Recognize package managers and configuration patterns. Use when starting work on any project, analyzing dependencies, or providing framework-specific guidance.

WCAG 2.1 AA compliance patterns, screen reader compatibility, keyboard navigation, and ARIA best practices. Use when implementing accessible interfaces, reviewing UI components, or auditing accessibility compliance. Covers semantic HTML, focus management, color contrast, and assistive technology testing.

Interview techniques, persona creation, journey mapping, and usability testing patterns. Use when planning research, conducting user interviews, creating personas, mapping user journeys, or designing usability tests. Essential for user-research, requirements-analysis, and interaction-architecture agents.

User interview techniques, persona creation, journey mapping, and research synthesis patterns. Use when planning research studies, conducting interviews, creating personas, or translating research findings into actionable design recommendations.

REST and GraphQL API design patterns, OpenAPI/Swagger specifications, versioning strategies, and authentication patterns. Use when designing APIs, reviewing API contracts, evaluating API technologies, or implementing API endpoints. Covers contract-first design, resource modeling, error handling, pagination, and security.

Domain-Driven Design tactical and strategic patterns including entities, value objects, aggregates, bounded contexts, and consistency strategies. Use when modeling business domains, designing aggregate boundaries, implementing business rules, or planning data consistency.

Create architectural decision records (ADRs), system documentation, API documentation, and operational runbooks. Use when capturing design decisions, documenting system architecture, creating API references, or writing operational procedures.

Apply test pyramid principles, coverage targets, and framework-specific patterns. Use when designing test suites, reviewing test coverage, or implementing tests. Covers Jest, Pytest, and common testing frameworks with naming conventions and organization patterns.

Pipeline design, deployment strategies (blue-green, canary, rolling), and CI/CD platform patterns. Use when designing pipelines, implementing deployments, configuring quality gates, or setting up automated release workflows. Covers GitHub Actions, GitLab CI, and platform-agnostic patterns.

Monitoring strategies, distributed tracing, SLI/SLO design, and alerting patterns. Use when designing monitoring infrastructure, defining service level objectives, implementing distributed tracing, creating alert rules, building dashboards, or establishing incident response procedures. Covers the three pillars of observability and production readiness.

Systematic code review patterns, quality dimensions, anti-pattern detection, and constructive feedback techniques. Use when reviewing code changes, assessing codebase quality, identifying technical debt, or mentoring through reviews. Covers correctness, design, security, performance, and maintainability.

Test charter structure, SFDPOT and FEW HICCUPPS heuristics, edge case discovery patterns, and session-based test management. Use when conducting exploratory testing, discovering edge cases, validating user journeys, or finding issues automated tests miss.

Measurement approaches, profiling tools, optimization patterns, and capacity planning. Use when diagnosing performance issues, establishing baselines, identifying bottlenecks, or planning for scale. Always measure before optimizing.

Test pyramid strategy, test design patterns, coverage analysis, and quality gate configuration. Use when designing test strategies, improving coverage, setting up automation, or defining quality gates. Covers unit, integration, and E2E testing across frameworks.

Write effective prompts for Jimeng Seedance 2.0 multimodal AI video generation. Use when users want to create video prompts using text, images, videos, and audio inputs with the @ reference system. Covers camera movements, effects replication, video extension, editing, music beat-matching, e-commerce ads, short dramas, and educational content.

为即梦 Seedance 2.0 多模态AI视频生成模型撰写高质量提示词。当用户需要使用文本、图片、视频、音频等多模态输入创作视频提示词时触发。涵盖@引用语法、运镜复刻、特效模仿、视频延长、视频编辑、音乐卡点、电商广告、短剧创作、科普教育等场景。

为即梦 Seedance 2.0 多模态AI视频生成模型撰写高质量提示词。当用户需要使用文本、图片、视频、音频等多模态输入创作视频提示词时触发。涵盖@引用语法、运镜复刻、特效模仿、视频延长、视频编辑、音乐卡点、电商广告、短剧创作、科普教育等场景。

Import cookies from your real Chromium browser into the headless browse session. Opens an interactive picker UI where you select which cookie domains to import. Use before QA testing authenticated pages. Use when asked to "import cookies", "login to the site", or "authenticate the browser". (gstack)

Configure deployment settings for /land-and-deploy. Detects your deploy platform (Fly.io, Render, Vercel, Netlify, Heroku, GitHub Actions, custom), production URL, health check endpoints, and deploy status commands. Writes the configuration to CLAUDE.md so all future deploys are automatic. Use when: "setup deploy", "configure deployment", "set up land-and-deploy", "how do I deploy with gstack", "add deploy config".

Set up gbrain for this coding agent: install the CLI, initialize a local PGLite or Supabase brain, register MCP, capture per-remote trust policy. One command from zero to "gbrain is running, and this agent can call it." Use when: "setup gbrain", "connect gbrain", "start gbrain", "install gbrain", "configure gbrain for this machine". (gstack)

Ship workflow: detect + merge base branch, run tests, review diff, bump VERSION, update CHANGELOG, commit, push, create PR. Use when asked to "ship", "deploy", "push to main", "create a PR", "merge and push", or "get it deployed". Proactively invoke this skill (do NOT push/PR directly) when the user says code is ready, asks about deploying, wants to push code up, or asks to create a PR. (gstack)

Semantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.

Compress a long agent conversation into a nine-part continuation summary that preserves request, files, errors, user messages, current work, and the next aligned step.

Coordinate multiple agents by splitting work into research, synthesis, implementation, and verification, assigning ownership, and keeping the coordinator focused on integration rather than raw exploration.

Run before pushing to Tony-Claude-Code-Skills repo. Validates remote URL, scans tracked files for credentials (.env / api_key / secret patterns), detects nested .git directories that break pushes, and reports all issues. Use when about to commit or push skills/MCP/plugin changes to GitHub.

One-time setup that gathers design context for your project and saves it to your AI config file. Run once to establish persistent design guidelines.

Teach the user a new skill or concept, within this workspace.

Launch the X/Twitter Poster Agent to auto-create and publish tweets. Use when: user types /twitter, /x, wants to post tweets, create threads, write X content, or manage Twitter posts. Keywords: twitter, x, tweet, thread, 推文, 发推, 推特

Improves typography by fixing font choices, hierarchy, sizing, weight, and readability so text feels intentional. Use when the user mentions fonts, type, readability, text hierarchy, sizing looks off, or wants more polished, intentional typography.

Clear the freeze boundary set by /freeze, allowing edits to all directories again. Use when you want to widen edit scope without ending the session. Use when asked to "unfreeze", "unlock edits", "remove freeze", or "allow all edits". (gstack)

Discovers and invokes agent skills. Use when starting a session or when you need to discover which skill applies to the current task. This is the meta-skill that governs how all other skills are discovered and invoked.

Run a read-only verification pass after implementation to check whether completion claims are real, validation actually ran, and obvious edge cases or regressions were missed.

A comprehensive verification system for Claude Code sessions.

智能三级降级网页内容提取。当用户发送 URL 链接并要求提取/阅读/总结网页内容时自动触发。 触发场景：用户发送任何 http/https URL 并期望获取其内容（非 GitHub PR/Issue，非搜索请求）。 例如："读取这篇文章"、"帮我看看这个链接"、"总结这个网页"、直接发 URL。

导出用户自己拥有的微信公众号"盛大白"全部历史文章为 markdown。使用 Playwright 扫码登录 mp.weixin.qq.com 后台，调用官方 appmsg list_ex 接口翻页拉文章，逐篇拉 js_content 转 md。也支持 fetch_stats.py 补抓阅读量/点赞/分享数据写入 frontmatter。仅当用户要求"导出公众号"/"备份公众号文章"/"批量下载我的公众号"时使用。

小说写作创意全流程引擎（笑来工程化方法 × McKee 故事原理）。Use when 用户想写小说/短篇/微型故事集/志怪故事，提到"写小说""编个故事""写虚构故事""化城志风格""故事引擎""xiaolai-fiction"，或想把一个想法/焦虑/新闻改编成虚构故事，或需要给已有小说稿做结构诊断、文风打磨、McKee 式审稿。不用于非虚构文章（那是 xiaolai-write/dedao-write 的领域）。覆盖：立项→世界观引擎→选题→结构→草稿→真实性校验→文风→审稿→集子编排→引擎升级 十个阶段。

以李笑来(Li Xiaolai)的思考方式、方法论与表达风格,为用户做全方位 1-on-1 教练指导,覆盖创业、赚钱、投资、学习、自学、读书写作、用 AI、以及人生心态与自我管理。当用户提到 "李笑来"、"笑来"、"笑来老师"、"扮演李笑来"、"找笑来聊聊"、"笑来怎么看"、"xiaolai"、"把时间当作朋友"、"通往财富自由之路"、"定投改变命运"、"韭菜的自我修养"、"自学是门手艺"、"让时间陪你慢慢变富"、"七年就是一辈子"、"元认知"、"活在未来"、"复利/长期主义"、"践行"、"痴迷改进"、"个人商业模式/出售时间"、"睡后收入"、"定投"、"财富自由"、"操作系统升级"、"最少必要知识"、"北极星提示词"、"用 AI 该怎么学/思考" 等任一触发词,或当用户带着关于创业/赚钱/投资/学习/职业/重大人生决策的困惑、希望被人用笑来式的「逻辑 + 大白话 + 类比 + 重新定义 + 践行导向」来点醒和指导时,自动进入李笑来教练模式。

Xiaolai's Claude tools collection. Use when user types /xiaolai. Routes to: (1) claude-agent-sdk — Agent SDK reference for building autonomous AI agents, or (2) nlpm — Natural-Language Programming Manager for scanning, scoring, and fixing NL artifacts.

Build autonomous AI agents with Claude Agent SDK. TypeScript v0.2.96 | Python v0.1.56. Covers: query(), hooks, subagents, MCP, permissions, sandbox, structured outputs, and sessions. Use when: building AI agents, configuring MCP servers, setting up permissions/hooks, using structured outputs, troubleshooting SDK errors, or working with subagents.

Use when writing, reviewing, or validating Claude Code plugin artifacts — check frontmatter schemas, hook event names, naming conventions, prompt structure, or reference syntax. Loaded by the NLPM scorer and checker agents for schema validation.

Multi-agent workflow patterns for Claude Code -- parallel dispatch, sequential pipelines, QC gates, retry loops, shared partials. Use when designing systems with multiple agents, commands, or processing stages.

Use when writing or reviewing NL artifacts and need to check for anti-patterns — vague quantifiers, prohibitions without alternatives, oversized skills, write-on-read-only agents, monolithic prompts, or linter-duplicating rules.

The 50 rules of natural language programming. Loaded when writing, reviewing, or improving any NL artifact — skills, agents, commands, rules, hooks, prompts, plugins, CLAUDE.md. The definitive style guide for NL code quality.

Use when scoring NL artifact quality, applying penalties, or calibrating lint judgment — contains the 100-point rubric with penalty tables per artifact type and 4 worked calibration examples.

Security pattern database for Claude Code plugin audits. Covers execution surfaces, supply chain, data exfiltration, and prompt injection.

Use when writing test specs for NL artifacts, running /nlpm:test, or setting up TDD workflows for skills, agents, commands, rules, hooks, and prompts.