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Project and code templates
sigma
by sanyuan0704
"Personalized 1-on-1 AI tutor using Bloom's 2-Sigma mastery learning. Guides users through any topic with Socratic questioning, adaptive pacing, and rich visual output (HTML dashboards, Excalidraw concept maps, generated images). Use when user wants to learn something, study a topic, understand a concept, requests tutoring, says 'teach me', 'I want to learn', 'explain X to me step by step', 'help me understand', or invokes /sigma. Triggers on: learn, study, teach, tutor, understand, master, explain step by step."
template-skill
by smallnest
Replace with description of the skill and when Claude should use it.
book-study
by sanyuan0704
"Reading coach: guides users through books systematically with knowledge compilation, mastery testing, spaced repetition, and knowledge querying. Use when user says 'read this book with me', 'book study', 'start studying X', 'reading plan', 'ingest this chapter', 'review what I read', 'quiz me on the book', 'what did the book say about X', or invokes /book-study. Supports sub-commands: ingest, query, review, compare, status. Triggers: book, study, read, chapter, ingest, review, quiz, reading plan, book notes."
wiki-ingest
by sanyuan0704
"Compile articles, documents, or notes into a structured wiki knowledge base. Use when user says 'ingest to wiki', 'compile to knowledge base', 'update wiki', 'wiki ingest', 'add this to wiki', or invokes /wiki-ingest. Supports single or batch ingest. Triggers: wiki, ingest, knowledge base, compile, digest, index, catalog."
cto-advisor
by shipshitdev
Technical leadership guidance for engineering teams, architecture decisions, and technology strategy. Includes tech debt analyzer, team scaling calculator, engineering metrics frameworks, technology evaluation tools, and ADR templates. Use when assessing technical debt, scaling engineering teams, evaluating technologies, making architecture decisions, establishing engineering metrics, or when user mentions CTO, tech debt, technical debt, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, or technology strategy.
setup-brain
by mycelium-hq
Set up or upgrade an AI-powered Obsidian vault. Interviews you, builds your vault structure (or works with what you already have), creates your CLAUDE.md memory file, installs tools, and gets you journaling — all in one conversation. Also has a repair/upgrade path for existing users.
adr-template
by dykyi-roman
Generates Architecture Decision Records (ADR) for PHP projects. Creates structured decision documentation with context, decision, and consequences.
architecture-doc-template
by dykyi-roman
Generates ARCHITECTURE.md files for PHP projects. Creates layer documentation, component descriptions, and architectural diagrams.
changelog-template
by dykyi-roman
Generates CHANGELOG.md files following Keep a Changelog format. Creates version history documentation.
api-doc-template
by dykyi-roman
Generates API documentation for PHP projects. Creates endpoint documentation with parameters, responses, and examples.
macos-settings-ui
by fayazara
Build a proper macOS settings/preferences window with liquid glass support for macOS 26 (Tahoe). Use this skill whenever the user asks to create a settings window, preferences UI, settings view, or preferences pane for a macOS app. Also trigger when the user mentions "liquid glass settings", "NavigationSplitView settings", "grouped Form settings", "macOS settings layout", or wants to add/fix/rebuild a settings screen in any native macOS SwiftUI app. This includes phrases like "add settings to my app", "create a preferences window", "my settings look wrong", "fix my settings UI", or even just "I need a settings view". If the user is building a macOS app and mentions settings or preferences in any context, use this skill.
small-cap-growth-identifier
by Geeksfino
识别A股市场中被忽视的小市值高成长公司。当用户询问小盘成长股、低市值高增长公司、被忽略的小盘股、专精特新企业、或要求筛选市值小但增长快的A股时使用此技能。
portfolio-health-check
by Geeksfino
诊断现有投资组合的风险和低效问题。当用户要求审查、审计或压力测试其当前持仓,评估组合集中度,检查因子暴露,评估相关性风险,识别隐性偏移,或获取其已有组合的改进建议时使用此技能。
skill-creator
by mrgoonie
Create or update Claude skills. Use for new skills, skill references, skill scripts, optimizing existing skills, extending Claude's capabilities.
readme-beautifier
by hylarucoder
README 美化器。接收结构混乱、格式不统一的 README(或同类 markdown 项目文档如 CONTRIBUTING.md、docs/index.md、项目说明.md),输出结构清晰、标题层级正确、列表/代码块/表格格式一致、视觉专业的完整版本,并附一段改动摘要——内容不增不减,只改结构和格式。当用户请求美化、整理、排版、格式化、修复 README,或只是把一份杂乱的 README 丢给你说"太乱了""看下""帮我弄一下"时使用,即使没有明确说"美化"二字。触发词:美化 README、README 美化、整理 README、README 排版、README 格式化、README 太乱了、看下我这个 README、beautify README、fix/format/clean up/tidy/polish/reformat README、reorganize readme、my readme looks messy/ugly、make my README look professional。
react-component-diagnosis
by hylarucoder
深度诊断单个 React 组件的架构设计质量,产出一份结构化体检报告:7 维度评分卡(使用者 API、数据流、可测试性、可扩展性、性能、心智模型、边界契约,每维 1-5 分 + 代码证据)、设计亮点、按 P0/P1/P2 分级且标注工作量的改进建议——所有评分基于逐行读代码后发现的具体问题(useMemo 依赖、useEffect cleanup、类型断言、每帧重复计算等),而非扫一眼目录得出的表面评价。当用户请求组件诊断、组件设计审查、架构分析、组件体检、组件 API/props 设计评估时使用,即使没说出"诊断"二字也应主动触发:用户指向一个组件目录或 .tsx 文件问"这个组件设计得怎么样"、"帮我看看这个组件"、"这个写得怎么样"、"是否需要重构"、"为什么每次都 re-render"、"useEffect 写对了吗"、"props 设计合理吗",或用英文说 "review this React component"、"is this component well designed"、"audit this component"、"should I refactor this component" 时,都应触发。触发词:组件诊断、组件体检、架构审查、设计分析、组件评审、组件 API、props 设计、组件要不要重构、component diagnosis、component review、react component audit。
hai-goal
by hylarucoder
Produces a written goal document before execution starts — a verifiable target, boundary, current state, phased route, per-phase rules, todos with proof, a dry-run, and a Go / No-Go judgment — instead of coding while watching to see if it works. Use whenever the user wants to start, go, implement, ship, build, or move forward; gives a vague intent that needs a concrete goal; asks to break work into phases or todos; or hands over an existing plan plus a target and wants it rewritten and re-anchored around that target. Trigger even when they never say "goal" or "plan": 开始干, 开搞, 我们开始吧, 先别急着写代码先定个目标, 把这个拆成阶段, 拆 todo, 落地方案, 执行计划, 怎么落地, 立个目标, 围绕X重新规划, 重写这个计划, "lets just ship this", "gonna start building now", or just a one-line intent plus "do it". To first decide whether the work is even worth doing, use hai-idea instead.
hai-prd
by hylarucoder
Produces a PRD recommendation, draft, or document-level diagnosis: decides whether a PRD is even needed (vs a goal, design doc, or task), drafts one from a product problem, audits/repairs an existing PRD for drift and unverifiable acceptance, or judges whether to split / merge it. Use whenever the user mentions a PRD, product requirements, requirements doc, or spec — writing, rewriting, refining, auditing, scoping, or splitting/merging one — even if they never say "PRD". Be pushy: trigger on casual asks like "turn this into a spec", "draft requirements for X", "is this PRD too big", "this PRD is a mess", "do we even need a PRD for this", "one PRD or two". Also on 写 PRD, 帮我写需求文档, 需求文档, 产品需求文档, PRD 拆分, PRD 合并, 这个 PRD 要不要拆, PRD 粒度, 帮我改需求文档.
create-visual-card
by hylarucoder
Generate a magazine-quality visual card as a single self-contained HTML file (embedded CSS, Swiss-grid + bold-type design system), then screenshot it to a shareable PNG and hand back both files. Use this whenever the user wants content turned into a visually rich card or shareable image — even if they don't say the word "card." Triggers: make/create/generate/design a visual card, info card, knowledge card, quote card, social card, summary/takeaway/cheatsheet card; 信息卡, 知识卡片, 金句卡, 语录卡, 做张卡片, 设计一张卡片, 把这段内容做成卡片, 把要点排成一张图, 总结成一张图, 小红书封面, 公众号封面图, 朋友圈配图. Prefer this over generic HTML/frontend skills when the goal is one decorative card image (for multi-section reports use hai-visual-report).
entity-model-auditor
by hylarucoder
Audit and design entity data models into a field-by-field markdown report: a target-vs-current audit table per entity, a classification of every field (table column / config blob / runtime-computed / remove), a grouped migration change list, and design-decision justifications — each field run through five cuts (exist? store or compute? column or config? system or content? what form to store?). Use this whenever the user reasons about what fields an entity should have or where they should live, even if they never say "audit": designing a data model, checking PRD fields against a DB schema or backend types, deciding store-vs-compute or column-vs-jsonb, judging whether a field is redundant, spotting a bloated/over-modeled entity, or planning a schema migration. Trigger even when they just paste a PRD, schema, or Prisma/SQLAlchemy model and ask "are the fields right", "what's missing", "should this be a column or jsonb", "is this field even needed". Also on 实体建模, 数据模型审核, 字段审查, 字段太多了, 这个表设计得对吗, PRD 对齐, 模型设计, 该存还是该算, 列还是配置, 帮我看下这个模型.
documentation-specialist
by SpillwaveSolutions
This skill should be used when creating professional software documentation (SRS, PRD, OpenAPI, user manuals, tutorials, runbooks) from templates (greenfield) or reverse-engineering documentation from existing code like Spring Boot or FastAPI (brownfield). Also handles documentation audits/reviews, format conversion (Markdown, DOCX, PDF), and diagram generation (C4, Mermaid, PlantUML, ER, sequence). Use when asked to "create documentation", "document my code", "write SRS", "generate PRD", or "documentation specialist".
super-ralph-wiggum
by tdimino
Super Ralph Wiggum - autonomous iteration loops with templates, PRD support, progress tracking, and browser testing. This skill should be used when running Claude Code in autonomous loops for test coverage improvement, PRD-based feature development, documentation generation, dataset creation, lint fixing, code cleanup, or framework migrations. Combines the plugin's in-session loop mechanism with specialized templates and best practices from Geoffrey Huntley, Ryan Carson, and AI Hero.
linear-a-decipherment
by tdimino
"Computational analysis of Linear A inscriptions using Cyrus H. Gordon's Semitic hypothesis. This skill should be used when working with Linear A transliterations, Minoan language decipherment, inscription analysis, sign frequency or co-occurrence statistics, consonantal skeleton extraction, Proto-Semitic root comparison, Gordon lexicon lookups, libation formula patterns, or preparing training data for ML decipherment models. Triggers: Linear A, Linear B projection, Minoan script, GORILA corpus, HT/ZA/PK tablets, Semitic cognates, transliteration analysis, sign values, syllabary, undeciphered scripts, computational epigraphy, Phaistos, Hagia Triada, lashon ha-kretan."
goudi
by hylarucoder
Pressure-tests an ambitious proposal and returns a grounded landing judgment (go / shrink / pause / reject / validate-first) with one minimum-viable first move, an explicit cut list, success/failure signals, and a stop rule. Use whenever a discussion has more vision than executable grounding, or the user asks how to land/ship a bold idea, define the smallest first step, scope down, pressure-test feasibility, price risk, or set a stop/rollback rule — even if they never name the skill. Triggers on 苟帝, 落地, 先落地, 怎么落地, 别太飘, 太理想化, 收一收, 砍范围, 可执行, 可验证, 最小可行, MVP, 止损, 回滚, 风险有多大, and on "make this real / be realistic / what do I do first / is this plan feasible" — including right after a geju or architecture session. Use geju instead when the goal is to open the frame and think bigger.