AI 智能体技能 一站式工作台
面向 GPTs、Claude Code、Cursor 与 Dify:在线编写、管理与一键导出标准化技能配置。
浏览、编辑并导出标准化 AI 技能配置,一键提升你的 AI 智能体工作流。
- 技能
- 258+
- 平台
- 5
- 下载
- 11
{
"format": "aiskill/v1",
"skill": {
"name": "Code Review Assistant",
"slug": "code-review-assistant",
"category": "Development",
"platforms": [
"chatgpt",
"claude-code",
"cursor",
"dify"
]
},
"prompts": {
"system": "You are a staff-level engineer performing…",
"user_template": "Review the following {{language}} code…"
}
}兼容你正在使用的平台
不止是提示词收藏夹
SkillVault 技能是可直接运行、可导入的配置文件 —— 内置预览、平台适配说明与安装指南。
标准 .aiskill 格式
每个技能都是一个结构化、带版本号的配置文件 —— 而非松散的提示词文本。JSON 与 YAML 双格式。
可视化技能编辑器
在表单驱动的编辑器中构建技能,实时预览 JSON/YAML、即时校验、双向同步。
一键导入
配合逐平台指南,导入 ChatGPT GPTs、Claude Code、Cursor、Dify 或 LangGraph。
干净的导出
每个技能都是即用型 ZIP 包,按需下载你要的即可;年度 Pro 可一键打包导出全部收藏。
私有技能仓库
Pro 会员拥有私有技能仓库 —— 存储、版本化管理并复用团队配置。
版本化与实测
每个技能都标注版本号、实测环境与更新记录,升级从不靠猜。
热门技能
本月导出量最高的配置。
matplotlib
Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.
senior-frontend
Frontend development skill for React, Next.js, TypeScript, and Tailwind CSS applications. Use when building React components, optimizing Next.js performance, analyzing bundle sizes, scaffolding frontend projects, implementing accessibility, or reviewing frontend code quality.
cold-email
When the user wants to write, improve, or build a sequence of B2B cold outreach emails to prospects who haven't asked to hear from them. Use when the user mentions 'cold email,' 'cold outreach,' 'prospecting emails,' 'SDR emails,' 'sales emails,' 'first touch email,' 'follow-up sequence,' or 'email prospecting.' Also use when they share an email draft that sounds too sales-y and needs to be humanized. Distinct from email-sequence (lifecycle/nurture to opted-in subscribers) — this is unsolicited outreach to new prospects. NOT for lifecycle emails, newsletters, or drip campaigns (use email-sequence).
skill-doctor
Use when the user wants their agent setup graded from real conversation history, asks which installed skills are actually working, or wants evidence-backed skill edits — scores recent local Claude Code / Codex sessions against efficiency and code-quality rubrics, then drafts skill changes gated by a deterministic aggregator and renders one local shareable report.
generate
Generate Playwright tests. Use when user says "write tests", "generate tests", "add tests for", "test this component", "e2e test", "create test for", "test this page", or "test this feature".
deep-research
Run a disciplined, multi-source research investigation for a high-stakes question or decision — fan-out web search across many channels, parallel sub-agents, source triangulation (each claim backed by ≥3 independent sources), an adversarial review pass, and every source saved to its own file with verbatim quotes for reuse. Use when a low-quality answer is expensive: strategy work, comparing N products/methods/markets, validating a hypothesis with external data, or mapping how a field works. NOT for quick fact-checks (answer directly), structured 12-dimension competitor scoring (use competitive-teardown), or fast topic overviews where the decision risk is low (use the research router instead).
模板库最新上架
近期新增与更新的技能配置。
agent-designer
Use when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
agent-harness
Turn any domain folder of skills into a bounded agentic loop: compile a goal into a verifiable task plan, execute tasks with the domain's own tools, verify every task with machine-run checks, retry with caps, escalate to a human when budgets exhaust, and refuse to close until everything is verified or explicitly waived. Use when you want an agent or subagent to pick up a goal and drive it to a verified close across one of this repo's 18 domains ('run this goal through the engineering harness', 'set up an agentic loop for marketing work', 'make the finance domain self-verifying'). NOT for authoring Claude Code Workflow-tool .js scripts (workflow-builder), N-agent tournaments on one task (agenthub), single-file metric optimization (autoresearch-agent), or discovering published loop recipes (loop-library).
agent-memory
Use when a project's CLAUDE.md has grown past what anyone reads and you want the agent to learn durable facts from its own sessions instead — or when asking why the agent keeps re-learning the same correction, why a remembered rule is wrong, or where a memory line came from. Implements a four-tier store (L0 transcripts / L1 candidates / L2 project context / L3 stable persona) where promotion is earned by recurrence across sessions and days, never by one confident statement, and nothing reaches a committed file without a human adopting it.
agent-regression-evals
Use when an agent, prompt, model or tool change needs proof it did not make the agent worse — setting up a regression eval suite, deciding whether a pass-rate drop is real or noise, grading tool-call trajectories, finding flaky eval cases, or wiring an eval gate into CI that blocks the merge. Runs repeated trials, reports pass@k and pass^k, compares candidate to baseline with paired statistics, and refuses to pass a dropped case, a critical-case regression, or a forbidden tool call.
agent-workflow-designer
Design production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.
book-to-skill
Converts books, documentation folders, and source collections (PDF, EPUB, DOCX, HTML, Markdown, RST, AsciiDoc, RTF, MOBI/AZW) into structured agent skills — extracting named frameworks, principles, techniques, and anti-patterns into a master SKILL.md plus on-demand chapter files, a glossary, a patterns file, and a decision cheatsheet. Use when the user wants to study a document with an agent, apply an author's frameworks while working, turn internal docs or standards into a reusable knowledge base, or package a compiled book skill as a claude-skills plugin.
从浏览到运行,只需几分钟
- 1
浏览模板库
按分类、标签或平台筛选。导出前即可预览完整配置。
- 2
在编辑器中调优
在可视化编辑器中打开任意技能,修改提示词与变量,即时校验。
- 3
导入并运行
导出标准 .aiskill 文件,加载到你选择的智能体平台。