所有 Skills

找到 8171 个 Skills

Skills 列表

claude-command-converter

claude-command-converter

136agent-workflows

Convert Claude Code commands (.claude/commands/*.md) to standard Agent Skills (skills/*/SKILL.md). Use when migrating slash commands to portable skill format, creating skills from existing commands, or standardizing command definitions across AI runtimes.

dceoy avatardceoy
获取
payload

payload

135security

在处理 Payload 项目(payload.config.ts、集合、字段、钩子、访问控制、Payload API)时使用。在调试验证错误、安全问题、关系查询、事务或钩子行为时使用。

payloadcms avatarpayloadcms
获取
storytelling

storytelling

135research-knowledge

Discipline for giving design work narrative structure that makes people care. Provides four canonical patterns — protagonist-arc, choreography, situation/complication/resolution, what-is/what-could-be — each with a goal, shape, and named pathology. Use when design work needs narrative structure, when stakeholders need to see the user's experience as a story, when presenting design rationale to non-design audiences, or when a journey, blueprint, brief, or deck feels lifeless. Trigger phrases: "what's the story here?", "tell the story", "story mode", "narrative mode". Restated inline in journey, blueprint, strategize, evaluate (and presentation when that skill ships). Refuses to smooth user data into clean arcs, manufacture strategic tension, substitute emotional appeal for evidence, assume conflict arcs are universal, or engineer stakeholder assent by shortcut.

ghaida avatarghaida
获取
dt-obs-gcp

dt-obs-gcp

135devops-cloud

GCP cloud resources including Compute Engine, GKE, Cloud Run, Pub/Sub, VPC networking, DNS, IAM, Secret Manager, and monitoring. Monitor GCP infrastructure, analyze resource usage, audit security posture, and manage organizational hierarchy across projects and folders.

dynatrace avatardynatrace
获取
dt-alerting

dt-alerting

135backend-api

End-to-end Dynatrace alerting lifecycle — anomaly detector setup and model selection (static threshold, adaptive baseline, seasonal baseline), alert event storage in Grail, problem grouping and denoising by root cause analysis, and workflow-based notification routing (email, Slack, ServiceNow, webhook). Use when configuring alerting, choosing between detector types, querying alert event history, understanding why alerts merged into a problem, or setting up problem-triggered notifications.

dynatrace avatardynatrace
获取
speckit-analyze

speckit-analyze

135research-knowledge

Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.

dceoy avatardceoy
获取
email-best-practices

email-best-practices

134backend-api

在构建邮件功能、邮件进入垃圾箱、高退信率、设置SPF/DKIM/DMARC认证、实现邮件捕获、确保合规(CAN-SPAM、GDPR、CASL)、处理Webhook、重试逻辑、使邮件可访问(替代文本、标题、对比度、屏幕阅读器)或区分事务性邮件与营销邮件时使用。

resend avatarresend
获取
caveman

caveman

134database

超压缩沟通模式。通过像原始人一样说话,将令牌使用量减少约75%,同时保持完整的技术准确性。支持强度级别:lite、full(默认)、ultra、wenyan-lite、wenyan-full、wenyan-ultra。当用户说“caveman mode”、“talk like caveman”、“use caveman”、“less tokens”、“be brief”或调用/caveman时使用。当请求令牌效率时也会自动触发。

juliusbrussee avatarjuliusbrussee
获取
pydantic

pydantic

134testing-qa

Pydantic is a Python data validation and serialization library, based on type hints. Use this skill whenever you need to do relatively complex data modeling using Pydantic, e.g. when adding constraints, defining a model hierarchy with subclasses, etc.

pydantic avatarpydantic
获取
speckit-implement

speckit-implement

134testing-qa

Execute the implementation plan by processing and executing all tasks defined in tasks.md

dceoy avatardceoy
获取
speckit-clarify

speckit-clarify

134testing-qa

Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.

dceoy avatardceoy
获取
antd

antd

133research-knowledge

Use when the user's task involves Ant Design (antd) — writing antd components, debugging antd issues, querying antd APIs/props/tokens/demos, migrating between antd versions, or analyzing antd usage in a project. Triggers on antd-related code, imports from 'antd', or explicit antd questions.

ant-design avatarant-design
获取
speckit-specify

speckit-specify

133testing-qa

Create or update the feature specification from a natural language feature description.

dceoy avatardceoy
获取
speckit-plan

speckit-plan

133agent-workflows

Execute the implementation planning workflow using the plan template to generate design artifacts.

dceoy avatardceoy
获取
speckit-constitution

speckit-constitution

133prompting-reasoning

Create or update the project constitution from interactive or provided principle inputs.

dceoy avatardceoy
获取
speckit-tasks

speckit-tasks

133research-knowledge

Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.

dceoy avatardceoy
获取
quota-axi

quota-axi

133agent-workflows

Report local Claude, Codex, Cursor, GitHub Copilot, Grok, Kimi, Z.AI, Alibaba, OpenCode Go, Antigravity, Command Code, MiniMax, MiMo, DeepSeek, OpenRouter, and ElevenLabs quota windows via the quota-axi CLI - remaining effective usable runway, percentages, reset times, cycle-average pace vs the reset clock, a per-scope selection signal, and provider status read from local auth sources, with no routing, no credential minting, and no default ordering preference. Use before deciding whether it is safe to keep spending a provider's quota, when the user asks about usage, rate limits, pace, or remaining quota, or when comparing local provider headroom.

kunchenguid avatarkunchenguid
获取
skill-creator

skill-creator

132research-knowledge

创建有效技能的指南。当用户想要创建新技能(或更新现有技能)以扩展Claude的能力,使其具备专业知识、工作流程或工具集成时,应使用此技能。

composiohq avatarcomposiohq
获取
redis-semantic-cache

redis-semantic-cache

132research-knowledge

Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and filtering with custom attributes. Use when caching LLM completions or RAG answers to cut API cost and latency, building a cache-aside layer in front of OpenAI / Anthropic / etc., tuning hit rate vs precision, or splitting one app's LLM workloads into multiple LangCache caches.

redis avatarredis
获取
dt-obs-azure

dt-obs-azure

132devops-cloud

Azure cloud resources including VMs, VMSS, SQL Database, Storage, AKS, App Service, Functions, VNet networking, load balancers, Event Hubs, Container Apps, and Key Vault. Monitor Azure infrastructure, analyze resource usage, audit security posture, and manage organizational hierarchy across subscriptions and resource groups.

dynatrace avatardynatrace
获取
llm-wiki

llm-wiki

131backend-api

Query the user's LLM Wiki knowledge base (the LLM Wiki desktop app at 127.0.0.1:19828 — NOT Obsidian, Notion, Apple Notes, Logseq, or any other PKM tool). Trigger ONLY when the user explicitly names LLM Wiki, says 'my wiki', 'my 知识库 / 知识库 / knowledge base', or asks things like 'what does my wiki say about X', 'read wiki page Y', 'show my wiki graph / 知识图谱', 'search in my LLM Wiki project', 'rescan my wiki sources / 重新索引', or names a wiki project by ID. DO NOT trigger on generic 'search my notes', 'find in my notebook', 'check my Obsidian', etc. — those belong to other tools the user may have installed. Covers wiki page search, file listing, content read, knowledge graph navigation, and source rescan against the running LLM Wiki desktop app. Read-only except for source rescan.

nashsu avatarnashsu
获取
dt-obs-predictive-analytics

dt-obs-predictive-analytics

131devops-cloud

Predictive analytics for Dynatrace — time series forecasting with the timeseries-forecast tool, capacity saturation planning, trend and anomaly detection across hosts, services, and infrastructure.

dynatrace avatardynatrace
获取
research

research

130research-knowledge

将嘈杂的调查委托给一个或多个子代理,使编排器的上下文保持干净,然后基于提炼后的答案进行工作。当回答一个问题需要读取大量文件、长日志、大型差异或广泛的代码库调查时——即产生答案的过程比答案本身产生更多噪音时——使用此技能。适用于“X如何工作”、“Y在哪里使用”、“Z的根本原因是什么”、“总结这个PR/日志”这类问题,在直接内联读取一堆文件之前,请放心使用。

warpdotdev avatarwarpdotdev
获取
cross-critique

cross-critique

130prompting-reasoning

对有争议的问题进行第二轮讨论,将每个子代理的独立提案分发给其他作者,要求他们给出结构化的优缺点,然后进行综合。当你对某个有争议的决策(如架构权衡、代码审查分歧、设计选择、相互竞争的根因理论)有多个独立提案或意见,并且希望获得比单独综合更深入的分析时,使用此技能。它与 council 和 research 技能自然搭配;当提案出现分歧时,可放心使用。

warpdotdev avatarwarpdotdev
获取
想按分类查看?试试 /category/writing-content.