ZooWork
ZooWork Market

发现 Skills

为真实工作流程挑选经过整理的 Skill,连接、安装并开始使用。

typescript-review

metabase

Review TypeScript and JavaScript code changes for compliance with Metabase coding standards, style violations, and code quality issues. Use when reviewing pull requests or diffs containing TypeScript/JavaScript code.

accessibility

microsoft

Accessibility guidelines for VS Code features — covers accessibility help dialogs, accessible views, verbosity settings, accessibility signals, ARIA alerts/status announcements, keyboard navigation, and ARIA labels/roles. Applies to both new interactive UI surfaces and updates to existing features. Use when creating new UI or updating existing UI features.

xueqiu-hot-cn

openclaw

雪球热门讨论监控 | Xueqiu Hot Discussions Monitor. 获取雪球热门股票讨论、投资观点、大V动态 | Get Xueqiu trending stock discussions, investment insights, top posts. 触发词:雪球、股票、投资、xueqiu.

implementing-jsc-classes-cpp

oven-sh

Implements JavaScript classes in C++ using JavaScriptCore. Use when creating new JS classes with C++ bindings, prototypes, or constructors.

implementing-new-features

streamlit

Implementation guide for new Streamlit features. Use when adding new elements, widgets, or features that span backend, frontend, and protobufs.

tavily-search

tavily-ai

Search the web with LLM-optimized results via the Tavily CLI. Use this skill when the user wants to search the web, find articles, look up information, get recent news, discover sources, or says “search for”, “find me”, “look up”, “what's the latest on”, “find articles about”, or needs current information from the internet. Returns relevant results with content snippets, relevance scores, and metadata — optimized for LLM consumption. Supports domain filtering, time ranges, and multiple search depths.

index-knowledge

tursodatabase

Generate hierarchical AGENTS.md knowledge base for a codebase. Creates root + complexity-scored subdirectory documentation.

stride-analysis-patterns

wshobson

Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.

autonomous-agent-harness

affaan-m

Transforms Claude Code into a fully automated agent system with persistent memory, scheduled operations, computer usage, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Used when a user wants continuous automated operations, scheduled tasks, or a self-directed agent loop.

postgres-patterns

affaan-m

PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.

security-scan

affaan-m

Use AgentShield to scan Claude Code settings (the .claude/ directory) for security vulnerabilities, misconfigurations, and injection risks. Checks CLAUDE.md, settings.json, the MCP server, hooks, and agent definitions.

Token预算顾问(TBA)

affaan-m

name: Token Budget Advisor (token-budget-advisor) description: Before answering, present users with informed choices about how much of the model's response budget (depth/length) to consume. Use this skill when the user explicitly wants to control response length, depth, or token budget. Trigger conditions: "token budget", "token count", "token usage", "token limit", "response length", "answer depth", etc. Behavior: estimate input tokens heuristically (prose: words × 1.3; code: chars ÷ 4), apply a multiplier range by prompt complexity (simple / medium / medium-high / complex / creative) to calculate the available response window, and present four depth options (25% / 50% / 75% / 100%) with approximate token counts and expected output characteristics. Use cases: save API costs, request shorter or more detailed answers, control code snippet output, avoid truncation or overly long replies. Will not trigger when a session-level setting already defines depth or when the request clearly expects a one-word answer. Benefits: improved cost predictability, greater user control, and better response quality (heuristic accuracy ~85–90%).

windows-desktop-e2e

affaan-m

End-to-end (E2E) testing for Windows native desktop applications (WPF, WinForms, Win32/MFC, Qt) using pywinauto and Windows UI Automation.

enterprise-agent-ops

affaan-m

Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.

investor-outreach

affaan-m

Outreach to investors, relationship building, fundraising strategy, and pipeline management.

java-coding-standards

affaan-m

Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.

knowledge-ops

affaan-m

Management, ingestion, synchronization, and search of knowledge bases across multiple storage layers (local files, MCP memory, vector stores, Git repositories). Used when a user wants to store, organize, synchronize, deduplicate, and search across the entire knowledge system.

opensource-pipeline

affaan-m

Open-source pipeline: fork, sanitize, and package a private project for safe public release. Chain three agents (Forker, Sanitizer, Packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.

unity-ui

Besty0728

Unity UI creation. Use when users want to create Canvas, Button, Text, Image, or other UI elements. Triggers: UI, canvas, button, text, image, panel, slider, toggle, UGUI, 界面, 按钮, 文本, 面板.

amcards-automation

ComposioHQ

Automate Amcards tasks via Rube MCP (Composio). Always search tools first for current schemas.

bugherd-automation

ComposioHQ

Automate Bugherd tasks via Rube MCP (Composio). Always search tools first for current schemas.

certifier-automation

ComposioHQ

Automate Certifier tasks via Rube MCP (Composio). Always search tools first for current schemas.

college-football-data-automation

ComposioHQ

Automate College Football Data tasks via Rube MCP (Composio). Always search tools first for current schemas.

Eventbrite Automation

ComposioHQ

Automate Eventbrite event management, attendee tracking, organization discovery, and category browsing through natural language commands

上一页第 34 / 877 页下一页