Claude Code 与 Codex 的 AI Agent 技能 · 第 59 页

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为你的 AI 智能体查找、分享并部署可复用技能

npm i -g skhub

api-to-every-ecommerce-cart-and-marketplace

API to every Ecommerce Cart and Marketplace integration. Manage data, records, and automate workflows. Use when the user wants to interact with API to every Ecommerce Cart and Marketplace data.

peoplegoal

PeopleGoal integration. Manage data, records, and automate workflows. Use when the user wants to interact with PeopleGoal data.

icon-retrieval

Search icons through HTTP API and retrieve SVG strings with curl.

day1-onboarding

AI Native Camp Day 1 온보딩. Claude와 대화하면서 Claude Code를 익힌다. "1일차", "Day 1", "온보딩" 요청에 사용.

solid-principles

Use during implementation when designing modules, functions, and components requiring SOLID principles for maintainable, flexible architecture.

ralph-plan

Interactive planning assistant that helps create focused, well-structured ralph-loop commands through collaborative conversation

clojure-write

Guide Clojure and ClojureScript development using REPL-driven workflow, coding conventions, and best practices. Use when writing, developing, or refactoring Clojure/ClojureScript code.

laravel-api-resources-and-pagination

Use API Resources with pagination and conditional fields; keep response shapes stable and cache-friendly

bitcoin-l2-citrea

Citrea: first ZK-rollup on Bitcoin (mainnet 27 Jan 2026), zkEVM, BitVM2 trustless bridge, ctUSD stablecoin, native BTC lending. USE WHEN: building zkEVM apps on Bitcoin, integrating with Citrea, evaluating ZK rollups vs sidechains.

dce-edge

DCE-safe require() patterns and edge runtime constraints. Use when writing conditional require() calls, guarding Node-only imports (node:stream etc.), or editing define-env-plugin.ts / app-render / stream-utils for edge builds. Covers if/else branching for webpack DCE, TypeScript definite assignment, the NEXT_RUNTIME vs real feature flag distinction, and forcing flags false for edge in define-env.ts.

fastapi

FastAPI Python framework. Covers REST APIs, validation, dependencies, security. Use when building Python web APIs with FastAPI, configuring Pydantic models, implementing dependency injection, or setting up OAuth2/JWT authentication. Keywords: FastAPI, Pydantic, async, OAuth2, JWT, REST API.

md-document

Converts long-form markdown (specs, RFCs, reports, plans, explainers) into a single-file, lightly-interactive HTML document with sticky TOC, scrollspy, search filter, code-copy buttons, and design-system-driven brand tokens. Triggers when the markdown-html-orchestrator classifies an input as DOCUMENT, or when invoked directly via /cs:md-document. Reads the design-system config via config_loader.py and inlines the user's 12 derived CSS custom properties; refuses to render if onboarding hasn't run. Single-file output — Google Fonts + Prism.js CDN are the only externals; no framework runtime, no build step. Use after orchestrator routing or after design-system onboarding is confirmed.

zhang-yiming-perspective

张一鸣（字节跳动/TikTok创始人）的思维框架与表达方式。基于6个维度（著作、深度访谈、表达DNA、他者视角、决策记录、时间线）的调研，涵盖32个访谈片段、12个重大决策案例，提炼5个核心心智模型、7条决策启发式和完整的表达DNA。用途：作为思维顾问，用张一鸣的视角分析产品、组织、全球化、人才和个人成长问题。当用户提到「用张一鸣的视角」「张一鸣会怎么看」「一鸣的思路」「zhang yiming perspective」时使用。即使用户只是说「帮我用张一鸣的角度想想」「如果是字节会怎么做」「切换到张一鸣」也应触发。即使用户说「字节怎么看」「头条的逻辑」「一鸣怎么选择」「一鸣」也应触发。

auto-qa

Run OpenClaw-wide autonomous QA and live/stress campaigns across independent subsystem lanes, with verified fixes and a resumable evidence report.

xiaohongshu-cover-generator

Generate Xiaohongshu (小红书) style cover images based on user topics. Use when the user wants to create a social media cover image in Xiaohongshu style, or mentions keywords like "小红书封面", "Xiaohongshu cover", "封面生成", or provides a topic for cover image generation. The generated image will be saved to the current project directory.

digest

Generate a daily or weekly digest of activity across all connected sources. Use when catching up after time away, starting the day and wanting a summary of mentions and action items, or reviewing a week's decisions and document updates grouped by project.

multilingual-embeddings

Multilingual and cross-lingual text embeddings. Covers multilingual-e5, LaBSE, BGE-M3, Cohere embed-multilingual-v3, OpenAI cross-lingual behavior, code-mixed text, tokenizer pitfalls, and language-specific retrieval quality. USE WHEN: user mentions "multilingual embeddings", "cross-lingual search", "non-English RAG", "Chinese/Japanese/Arabic retrieval", "LaBSE", "multilingual-e5", "code-mixed", "translated query" DO NOT USE FOR: English-only embedding choice - use `embedding-models`; fine-tuning on domain text - use `embedding-fine-tuning`

geniml

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.

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