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Found 726 Skills
Maintain GOALS.yaml fitness specification. Generate new goals from repo state, prune stale goals, update drifted checks. Triggers: "goals", "goal status", "show goals", "generate goals", "add goals", "prune goals", "update goals", "clean goals".
Co-author a Pantagruel (.pant) specification through guided conversation. Use when the user wants to write, design, or iterate on a Pantagruel spec file. Helps users think rigorously about domains, rules, invariants, actions, and initial state by asking clarifying questions rather than guessing. Trigger when user mentions writing a spec, modeling a system, or working with .pant files.
Automatically generate mobile-first responsive CSS/SCSS when creating component styles or mentioning responsive design. Implements standard breakpoints (768px, 1024px), ensures WCAG AA color contrast, creates touch-friendly interfaces (44px minimum targets), adds proper focus indicators, supports reduced motion, scales typography responsively, and provides detailed technical specifications with exact values.
Transform verbose technical documentation into concise, scannable specs. Use this skill when you need to condense, summarize, or reformat technical docs, specs, or READMEs — including when a document is too verbose, when you want a technical summary, or when working with lengthy specification documents. Triggers on phrases like "make this concise", "too verbose", "condense this", "technical summary", "strip the fluff", or "reformat this spec". See assets/template.md for the standard output structure.
Technical Research Expert Skill, providing systematic technical research methodologies, document specifications, and best practices. Trigger this skill when you need to conduct technology selection, architecture research, framework comparison, or implementation scheme research.
Provides information about how to create, structure, install, and audit Agent Skills, Plugins, Antigravity Workflows, and Sub-agents. Trigger this when specifications, rules, or best practices for the ecosystem are required.
This skill helps users extract structured product listings from Amazon, including titles, ASINs, prices, ratings, and specifications. Use this skill when users want to search for products on Amazon, find the best selling brand products, track price changes for items, get a list of categories with high ratings, compare different brand products on Amazon, extract Amazon product data for market research, look for products in a specific language or marketplace, analyze competitor pricing for keywords, find featured products for search terms, get technical specifications like material or color for product lists.
Create git commits following the Conventional Commits v1.0.0 specification (conventionalcommits.org). Use when the user asks to commit changes, says "/conventional-commit", or wants a well-structured commit message. Triggers on requests like "commit this", "commit my changes", "create a commit", or any git commit workflow. Analyzes staged/unstaged changes and produces compliant commit messages with proper type, scope, description, body, and footers.
Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.
AIWorkflowOrchestratorの正本仕様を `references/` から検索・参照・更新するスキル。 resource-map / quick-reference / topic-map / keywords を起点に、必要最小限の文書だけを段階的に読む。 用途: 要件確認、設計/API/IPC契約確認、UI/状態管理/セキュリティ判断、task-workflow・lessons-learned・未タスク同期。 特に safeInvoke timeout、settings bypass、skill lifecycle、global nav、Skill Center / Workspace / Agent / Skill Creator の導線再編を扱う。 Anchors: • Specification-Driven Development / 適用: 正本仕様同期 / 目的: 実装-仕様整合の維持 • Progressive Disclosure / 適用: resource-map起点読込 / 目的: 必要最小限参照で漏れ防止 Trigger: 仕様確認, 仕様更新, task-workflow同期, lessons-learned同期, UI仕様反映, API/IPC契約確認, セキュリティ要件確認, safeInvoke, timeout, settings bypass, skill lifecycle, Skill Center, Workspace, Agent, Skill Creator, navContract, GlobalNavStrip, MobileNavBar, SkillManagementPanel, line budget reform, spec splitting, family split, generated index sharding
Use this skill when optimizing for AI-powered search engines and generative search results - Google AI Overviews, ChatGPT Search (SearchGPT), Perplexity, Microsoft Copilot Search, and other LLM-powered answer engines. Covers Generative Engine Optimization (GEO), citation signals for AI search, entity authority, LLMs.txt specification, and LLM-friendliness patterns based on Princeton GEO research. Triggers on visibility in AI search, getting cited by LLMs, or adapting SEO for the AI search era.
Guide spec-driven feature development using a structured three-phase workflow: Requirements → Design → Tasks. Use this skill whenever the user wants to plan a feature, write a spec, or do structured design before coding. Trigger on phrases like "let's spec this out", "write a specification" or "help me think through this feature".