angular
Angular component architecture, RxJS patterns, change detection, and module organization
observable-notebook-kit
Create, edit, and build Observable Notebooks using Notebook Kit. Use when working with .html notebook files, generating static sites from notebooks, querying databases from notebooks, or using data loaders (Node.js/Python/R) in notebooks. Covers notebook file format, cell types, CLI commands, database connectors, and JavaScript API.
primevue
Setup and use PrimeVue UI component library in Vue/Vite projects with auto-import, theming, and component configuration. Use when working with PrimeVue components, setting up PrimeVue in a Vue project, configuring themes (Aura, Lara, etc.), or implementing auto-import for PrimeVue components.
stripe-api-design
Design REST APIs the way Stripe does — resource-oriented, predictable, extensible, and built for indefinite backward compatibility. Use when designing new endpoints, modeling resources, choosing request/response shapes, defining error contracts, planning pagination or idempotency, evolving an existing API, or reviewing API designs. Triggers on tasks involving REST APIs, public APIs, SDK design, webhook delivery, API versioning, or "Stripe-like" API ergonomics.
fastify-best-practices
Fastify framework best practices with deep focus on plugin architecture, encapsulation, and composition patterns. Use when building, reviewing, or refactoring Fastify applications. Covers plugin registration, fastify-plugin usage, decorators, hooks, project structure, and common anti-patterns.
steve-jobs
Product design methodology emulating Steve Jobs' approach to crafting digital products. Use when building consumer-facing applications, designing user interfaces, creating product specifications, critiquing designs, making product decisions, or when the user wants a "Jobs-like" perspective on their work. Activates for requests involving product vision, design philosophy, UX simplification, feature prioritization, or building products with exceptional taste and focus.
language-style-guide
强制在所有交互、代码注释和文档生成中严格使用中文，并遵循高级技术写作规范。Enforces strict adherence to Chinese language in all interactions, code comments, and documentation with high-quality technical writing standards.
flutter-getx-architecture
Guidelines and rules for the GetX-based feature-first folder structure, module composition (View, Controller, Binding, Widgets), component splitting boundaries, get_cli route/state conventions, and strategy for GetX Fat Controller anti-bloat/decomposition (> 300 lines).
insights-archive
Archive Claude Code /insights reports for historical tracking. Supports archiving, listing, comparing, and opening reports.
pre-pr-scan
Pre-PR compliance and security scan. Checks diff against CLAUDE.md guidelines and security best practices before creating a pull request.
skill-advisor
Search, compare, and install skills via npx skills CLI. Use when user wants to find skills, compare functionality, or install to agents. Avoids --all pitfall, targets Antigravity, Claude Code, Gemini CLI, OpenCode by default.
skill-exporter
Generate npx skills add commands to reproduce installed skills. Use when user wants to export, backup, share, or replicate their skills setup on another machine.
map-docs
This skill should be used when the user asks to "map documentation links", "extract docs navigation", "get documentation structure", "scrape docs sidebar", or wants to understand the structure of a documentation website before creating skills.
moltoverflow
Search and contribute to the moltoverflow knowledge base for programming packages. Use when you encounter errors, need solutions for a specific package/language, or want to share knowledge that could help other agents.
onchain
CLI for crypto portfolio tracking, market data, CEX history, and transaction lookups. Use when the user asks about crypto prices, wallet balances, portfolio values, Coinbase/Binance holdings, Polymarket predictions, or transaction details.
testing-unit-integration
Expert guidance for writing clean, simple, and effective unit, integration, component, microservice, and API tests. Use this skill when reviewing existing tests for violations, writing new tests, or refactoring tests. NOT for end-to-end tests that span multiple processes - use testing-e2e skill instead. Covers AAA pattern, data factories, mocking strategies, DOM testing, database testing, and assertion best practices.
managing-claude-memory
Expert guidance for creating, updating, and maintaining CLAUDE.md memory files following best practices for hierarchical memory, structure, content organization, and team collaboration
testing-e2e
Expert guidance for writing resilient end-to-end tests that span multiple processes and components. Use this skill when reviewing, writing, or refactoring system-wide e2e tests. Covers user-facing scenarios, helper functions, data factories, ARIA-based selectors, and auto-retriable assertions. NOT for unit/integration tests - use testing-unit-integration skill instead. See references/playwright-resilience.md for detailed selector patterns.
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
agent-creator
Expert guidance for creating effective Claude Code agents (subagents). Use when users want to create a new agent, update an existing agent, or learn agent design best practices. Covers agent architecture, prompt engineering, tool selection, model choice, and common pitfalls. Integrates with skill-creator when agent needs accompanying skills.
wprdc
Query Pittsburgh's Western PA Regional Data Center (WPRDC) — 363+ datasets covering property assessments, air quality, 311 requests, jail census, overdose data, permits, violations, and more. Run SQL queries against live tables without downloading. Use when user asks about Pittsburgh/Allegheny County public data, property lookups, civic data, or regional statistics.
excel-export-validator
Validates Customer Feedback Analyzer Excel exports with 7 view sheets, 36 columns, and professional formatting. Use when checking Excel files, verifying export quality, debugging Excel generation issues, before releasing new versions, or when modifying Excel export code. Ensures zero errors in customer-facing deliverables.
animation
Implement animations using the Motion library. Use when adding motion, transitions, gestures, scroll effects, or interactive animations to components. Triggered by implementation requests, not conceptual discussions.
conceptual-reviewer
Review code for conceptual errors, wrong assumptions, edge cases, and overcomplication; use after medium/large changes or when risk is high.
criteria-test-loop
Drive coding by success criteria and tests; use for bugfixes, features with tests, and algorithmic changes. Emphasize naive-correct first, then optimize.
minimal-diff-implementer
Implement the smallest safe change and avoid bloat; use for most coding tasks to prevent overengineering, unrelated edits, or destructive refactors.
plan-lite
Create a lightweight 3-5 step plan with risks and checkpoints; use when a task is non-trivial, has regression risk, or spans multiple files/systems.
assumption-clarifier
Identify hidden assumptions, contradictions, and missing info before coding; use when requirements are vague, ambiguous, or risky, and when a task needs clarification questions or explicit success criteria.
agent-coding-workflows
Choose and run the standard AI coding workflows by chaining the other skills; use when the user asks for a workflow or uses /flow, /workflow, /andrej, or /AndrejHide, and when the task type is standard change, algo/perf, or urgent bugfix.
article-title-generator
Generate engaging article titles for WeChat public accounts
easy-app-maker
一站式应用制作平台，专为非程序员设计。支持创建 Web 应用、H5 页面、智能文档、聊天机器人和内容创作工具。通过简单对话即可生成完整的、可运行的应用代码。Use when user wants to create applications without coding, needs quick prototypes, or wants to automate content/document generation.
cyberelements-image2article
Generate articles from images by analyzing workspace elements and writing tech-focused content for college students, new employees, and office workers about workspace setup and decoration. Use when user wants to generate an article from an image of desk/workspace setup, create content about workspace decoration and productivity tips, write tech- and art-style articles about office equipment and accessories, or provide workspace setup advice for students or new employees
feature-brainstorm
Multi-phase brainstorming for complex feature implementations using parallel sub-tasks. Use when the user asks to brainstorm, design, or plan a complex feature, wants to explore implementation approaches, or needs architectural analysis before coding. Triggers on phrases like "brainstorm feature", "design implementation", "explore approaches", "plan architecture", or "how should we implement".
package-skill
Package a Claude Code skill directory into a distributable .skill file. Use when the user wants to export, package, bundle, zip, or distribute a skill. Triggers on mentions of .skill files, packaging skills, exporting skills, or sharing skills.
codex
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing
conventional-commits
Commit changes in a git workspace using the Conventional Commits specification. Use when the user asks to commit, stage, or save changes to git, or mentions "conventional commits". Analyzes staged/unstaged changes, groups related modifications, generates properly formatted commit messages, and commits files separately or together as appropriate. Confirms with user when commit ordering is ambiguous.
brainstorm
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data-juicer
Primer for using the data-juicer Python library (also written `datajuicer` or `DJ`) — a YAML-driven, OP-based system for cleaning, filtering, deduplicating, transforming, and synthesizing text and multimodal data for foundation models. Use this skill whenever the user mentions data-juicer, DJ, dj-process, dj-analyze, "DJ format", building data recipes / YAML pipelines for LLM training data, or writing custom Filter / Mapper / Deduplicator / Selector / Aggregator / Grouper operators ("OPs"). Also reach for it when the user is putting together a data preprocessing pipeline for LLM pre-training, post-tuning, or multimodal datasets and DJ would be a natural fit, even if they haven't named the library yet — flagging DJ as an option is often the most helpful move.
analyzing-backtests
Analyzes algorithmic trading backtest results from Jupyter notebooks and generates summary reports. Use when the user wants to analyze or summarize backtest notebooks.
manage-dotfiles
Manage dotfiles and keep synced with external directories. Use on Linux / macOS systemswhen thetre are external connfigs which are being imported into the dotfiles, or when stored dotfiles need to be brought outside to the XDG environment.
using-proton-pass-cli
Interact with Proton Pass via the `pass-cli` command-line tool. Use this skill when the user wants to manage passwords, vaults, items, SSH keys, secret injection, or any credential management through the Proton Pass CLI. Triggers on mentions of pass-cli, proton pass, secret references, pass:// URIs, vault management, or SSH agent integration with Proton Pass.
research-proposal-structure
Use when an agent needs to produce, update, validate, or normalize a standardized research proposal artifact without running an interview. Defines the canonical structure, confidence-tag semantics, decision logic, and completion checks for proposal.md-style research plans.
stacked-issues
Implement multiple GitHub issues sequentially as stacked branches in separate worktrees, with an implementer sub-agent and an independent reviewer sub-agent per issue. Use when the user gives you two or more dependent issues and asks for them to be implemented in order, or says "stacked branches", "sequential issues", "issue chain", "do these in worktrees", or describes a parent epic with child issues that build on each other. Also reach for this whenever the user wants implementation and verification done by separate agents.
stacked-prs
Push local branches and create stacked PRs. Analyzes branch topology, pushes, creates PRs with correct base branches, and resolves merge conflicts. Use when you have a chain of local branches to turn into stacked PRs.
using-nautilus-trader
Provides expert guidance for NautilusTrader algorithmic trading platform. Covers backtesting strategies, live trading deployment, event-driven architecture, and building trading systems.
experiment-log-interview
Conducts a structured Socratic interview to produce or update a single experiment log entry — the durable record of what was run, what it showed, and what it means. Use this skill whenever the user wants to log an experiment, write up results, record a backtest, capture a finding, pre-register a run, document a study, or update an existing entry with new results or a revised interpretation. Trigger on phrases like "log this experiment," "write up the results of...", "I ran X, help me document it," "pre-register this," "update the entry for...", or when the user shares results and asks for help interpreting and recording them. The skill enforces the four-way separation between what happened, what it means, what it implies, and what comes next; challenges the user's interpretations with evidence requests and alternative explanations; and writes incrementally to keep context clean and the entry always grounded.
experiment-log-structure
Use when an agent needs to produce, update, validate, or normalize a standardized experiment-log entry without running an interview. Defines the canonical structure, pre-registration rules, evidence/interpretation split, calibration tags, and append-only revision model for durable experiment records.
research-proposal-interview
Conducts a structured Socratic interview to produce a comprehensive markdown research proposal that handles cascading uncertainty (fixed end-question, branching experiments). Use this skill whenever the user wants to write a research proposal, research plan, study design, experiment plan, thesis proposal, RFC, or "spec out" a research direction — even if they don't explicitly say "interview me." Trigger when the user says things like "help me plan this research", "I want to design experiments for X", "draft a proposal for...", "think through a research direction", or shares a half-formed research idea and asks for help structuring it. The skill interviews the user, challenges their priors with evidence requests and falsifiers, optionally uses sub-agents to explore prior art, and builds the proposal markdown incrementally so context stays clean and the document is always grounded.
vercel-ai-gateway-setup
Set up Claude Code to route requests through Vercel AI Gateway for monitoring and observability
nano-banana
Generate images using Nano Banana (Google Generative AI). Use this skill when the user asks to create, generate, or make images of any kind - illustrations, photos, product mockups, logos, scenes, textures, UI mockups, or any visual content. Handles style selection, prompt building, generation, and preview.
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