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Found 737 Skills
Expertise in structured Git commit workflow with Chinese team conventions. Use this skill when the user asks to "commit", "提交", "stage", "暂存", "show status", "git status", or any variant related to managing git changes. The user does NOT need to explicitly mention "git-commit-workflow" - ANY request to commit changes or manage git state should automatically trigger this skill. Handles automatic commit message generation with PMS and GitHub Issue tracking, following strict 80-character line limits.
Headless spreadsheet engine for financial modeling, data analysis, and scenario comparison. Use when: building financial models with ratios and what-if scenarios, computing derived values from tabular data with formulas, producing .xlsx files with live formulas (not static values) for human review, any task where the agent would otherwise write imperative code to manipulate numbers that a spreadsheet does naturally. Triggers: financial model, scenario analysis, ratio computation, balance sheet, P&L, what-if, sensitivity analysis, banking ratios, spreadsheet model, build a model, projection, forecast. Do NOT use for: simple CSV/Excel read/write (use the xlsx skill), chart-only tasks, or data volumes exceeding ~5000 rows.
Apple HIG guidance for input methods and interaction patterns: gestures, Apple Pencil, keyboards, game controllers, pointers, Digital Crown, eye tracking, focus system, remotes, spatial interactions, gyroscope, accelerometer, and nearby interactions. Use when asked about: "gesture design", "Apple Pencil", "keyboard shortcuts", "game controller", "pointer support", "mouse support", "trackpad", "Digital Crown", "eye tracking", "visionOS input", "focus system", "remote control", "gyroscope", "spatial interaction". Also use when the user says "what gestures should I support," "how do I add keyboard shortcuts," "how does input work on Apple TV," "should I support Apple Pencil," or asks about input device handling. Cross-references: hig-components-status, hig-components-system, hig-technologies for VoiceOver and Siri.
ALWAYS `render inertia: { key: data }` to pass data as props — instance variables are NOT auto-passed (only alba-inertia does that). Rails controller patterns for Inertia.js: render inertia, prop types (defer, optional, merge, scroll), shared data, flash, PRG redirects, validation errors. Use when writing controllers that load data, display records, or serve Inertia responses. CRITICAL: external URLs (Stripe/OAuth) MUST use inertia_location, NEVER redirect_to.
Systematic academic literature search with source prioritization and APA 7th edition citations. Use when the user needs to research a topic with scholarly sources, verify claims with academic backing, find peer-reviewed evidence, compile research findings, or generate properly cited reports. Triggers: "research [topic]", "what does the research say about...", "find studies on...", "verify this claim...", "literature review", "academic sources for...", "peer-reviewed evidence", "scholarly articles about...", "evidence-based", "cite sources for...". This skill provides basic APA citation capabilities; for advanced citation work (complex source types, edge cases, batch formatting), consider the `apa-style-citation` skill which offers enhanced citation expertise.
Load PROACTIVELY when starting work on an unfamiliar codebase or setting up a new project. Use when user says "help me understand this codebase", "onboard me", "what does this project do", "set up my environment", or "map the architecture". Covers codebase structure analysis, architecture mapping, dependency auditing, convention and pattern detection, developer environment setup, and documentation of findings for rapid productive contribution.
Query the bundled research knowledge graph for methodology guidance. Routes questions through a 3-tier knowledge base — WHY (research claims), HOW (guidance docs), WHAT IT LOOKS LIKE (domain examples) — plus structured reference documents. Returns research-backed answers grounded in specific claims with practical application to the user's system. Triggers on "/ask", "/ask [question]", "why does my system...", "how should I...".
The essential mental models for building onchain — focused on what LLMs get wrong and what humans need explained. "Nothing is automatic" and "incentives are everything" are the core messages. Use when your human is new to onchain development, when they're designing a system, or when they ask "how does this actually work?" Also use when YOU are designing a system — the state machine + incentive framework catches design mistakes before they become dead code.
Apple Human Interface Guidelines for platform-specific design. Use this skill when the user asks about "designing for iOS", "iPad app design", "macOS design", "tvOS", "visionOS", "watchOS", "Apple platform", "which platform", platform differences, platform-specific conventions, or multi-platform app design. Also use when the user says "should I design differently for iPad vs iPhone", "how does my app work on visionOS", "what's different about macOS apps", "porting my app to another platform", "universal app design", or "what input methods does this platform use". Cross-references: hig-foundations for shared design foundations, hig-patterns for interaction patterns, hig-components-layout for navigation structures, hig-components-content for content display.
Delegate tasks to the cost-effective opencode/glm-5 model. Use when you need inexpensive task execution, simple research, or delegating work that doesn't require the most powerful models.
Apply principles of good design taste when creating, reviewing, or critiquing any creative or technical work. Use this skill whenever the user asks you to design something, review a design, create UI/UX, architect a system, write something with aesthetic intent, evaluate the quality of code or creative work, or asks for feedback on whether something is "good." Also trigger when users mention taste, aesthetics, beauty in design, elegance, simplicity, or when they want help making something not just functional but genuinely well-crafted. This skill applies across domains: software, writing, visual design, architecture, presentations, APIs, data models, and more. Even if the user doesn't explicitly mention "design," use this skill when the underlying task is about making something better, more elegant, or more refined.
General RPI (Research, Plan, Implement, Iterate) execution skill. It is used for engineering tasks where users require "research first, then plan, then implement, and finally iterate", or when tasks are highly complex, high-risk, or have unclear impact. This skill does not rely on specific command-line tools or platforms, and is applicable to any AI Agent that supports skill mechanisms.