发现 Skills

Provide accurate current time by calling get_time tool.

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

Designing growth strategy or GTM plans - Planning experiments and A/B tests - Optimizing activation, retention, or referral flows

Expert guidance for creating and working with marimo notebooks - reactive Python notebooks that can be executed as scripts and deployed as apps. Use when the user asks to create marimo notebooks, convert Jupyter notebooks to marimo, build interactive dashboards or data apps with marimo, work with marimo's reactive programming model, debug marimo notebooks, or needs help with marimo-specific features (cells, UI elements, reactivity, SQL integration, deploying apps, etc.).

Production-ready PDF processing with forms, tables, OCR, validation, and batch operations. Use when working with complex PDF workflows in production environments, processing large volumes of PDFs, or requiring robust error handling and validation.

This rule provides instruction for interacting with the Obsidian API

Analyze application and system logs to identify errors, patterns, and root causes. Use log aggregation tools and structured logging for effective debugging.

../../../marketing-skill/skills/marketing-strategy-pmm/SKILL.md

Creates procedural and organic shapes in Minecraft using VibeCraft MCP tools. Use when building spheres, domes, cylinders, pyramids, torus, arches, curves, spirals, organic shapes, statues, or any complex geometry that requires procedural generation.

GPT Image 2 prompt gallery, agentic skill, and CLI for OpenAI image generation and editing with curated prompts and reference workflows

Publish content directly to WordPress sites via the REST API with full Gutenberg block support. Create and publish posts and pages, auto-load and select categories from the site, generate SEO-optimized tags, preview articles before publishing, and generate Gutenberg blocks for tables, images, lists, and rich formatting. Use when a user wants to publish to WordPress, post to a blog, create a WordPress article, update a WordPress post, or convert Markdown to Gutenberg blocks.

Manage Architecture Decision Records and ADR-aligned development. Use when user says "we should use", "let's go with", asks "why did we choose X?", implements a feature that may have an ADR, updates ADR status, or needs to check alignment with existing decisions.

Convert Agent Skills to Gemini Gems format. Use when the user wants to adapt, port, or transform a Claude skill (SKILL.md-based) into a Google Gemini Gem, or when discussing Gem constraints, knowledge file limits, and platform differences between Claude Skills and Gemini Gems.

Research high-performing TikTok videos from tracked accounts using Apify's TikTok Scraper. Identifies outlier content, analyzes top 5 videos with AI, and generates reports with actionable hook formulas. Use when asked to: - Find trending TikTok content in a niche - Research what's performing on TikTok - Identify high-performing video patterns - Analyze competitors' TikTok content - Generate content ideas from TikTok trends - Run TikTok research - Find viral TikToks - Analyze hooks and content structure Triggers: "tiktok research", "tt research", "find trending tiktoks", "analyze tiktok accounts", "what's working on tiktok", "content research tiktok", "tiktok analysis", "tiktok trends"

Unified setup hub: project init, tool setup, 2-agent config, harness-mem, codex CLI, and rule localization. Use when user mentions setup, initialization, new projects, workflow files, CI setup, LSP setup, MCP setup, codex setup, opencode setup, 2-Agent setup, PM coordination, Cursor setup, harness-mem, claude-mem integration, cross-session memory, localize rules, adapt rules. Do NOT load for: implementation work, reviews, build verification, or deployments.

Use when first installing Axiom, unsure which skill to use, want an overview of available skills, or need help finding the right skill for your situation — interactive onboarding that recommends skills based on your project and current focus

Apply proactively when designing APIs, microservices, or scalable backend architectures. Relevant when working with DDD, Clean Architecture, Hexagonal (ports-and-adapters), entities, value objects, domain events, CQRS, event sourcing, the repository pattern, use cases, Onion Architecture, the outbox pattern, aggregate roots, or anti-corruption layers. Use this guidance whenever you work with domain models, aggregates, repositories, or bounded contexts. Intended as a language-agnostic approach for backend services (Go, Rust, Python, TypeScript, Java, C#).

.NET SDK for managing Arize AI Observability and Evaluation resources on Azure.

Assessment of overcurrent protection systems and coordination

Cognitive control memory system based on "On Task" by David Badre. Handles input gating, output gating, hierarchical memory, and procedural runbooks.

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) creating new spreadsheets with formulas and formatting, (2) reading or analyzing data, (3) modifying existing spreadsheets while preserving formulas, (4) performing data analysis and visualization inside spreadsheets, or (5) recalculating formulas.

Vision-language pre-training framework bridging frozen image encoders and LLMs. Use when you need image captioning, visual question answering, image-text retrieval, or multimodal chat with state-of-the-art zero-shot performance.

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.

Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.