提示词与推理

提示词工程、角色设定和推理模式

124 个 Skills 可用

Skills 列表

gemini

gemini

2.2Kprompting-reasoning

Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.

softaworks avatarsoftaworks
获取
financekit

financekit

967prompting-reasoning

Access eligible Wallet financial data using FinanceKit and FinanceKitUI. Use when querying transactions or balances, reading Apple Card, Apple Cash, Savings, or U.K. connected-account data, requesting financial-data authorization, using TransactionPicker, enabling iOS 26 background delivery, or saving and checking Wallet orders.

dpearson2699 avatardpearson2699
获取
agentforce-observe

agentforce-observe

783prompting-reasoning

Analyze production Agentforce agent behavior using session traces and Data Cloud. TRIGGER when: user queries STDM session data or Data Cloud trace records; investigates production agent failures, regressions, or performance issues; asks about session traces, conversation logs, or agent metrics; wants to reproduce a reported production issue in preview; runs findSessions or trace analysis queries. DO NOT TRIGGER when: user creates, modifies, or debugs .agent files during development (use agentforce-generate); writes or runs test specs (use agentforce-test); uses sf agent preview for local development iteration; deploys or publishes agents.

forcedotcom avatarforcedotcom
获取
agentforce-d360-analyze

agentforce-d360-analyze

783prompting-reasoning

Data Cloud 360° view of a single Agentforce session. TRIGGER when user asks to trace, inspect, summarize, or describe a specific Agentforce session by session id (Agent Session UUID `019d…` or MessagingSession id `0Mw…`). Also triggers on session discovery — find/list/search sessions by time, agent, channel, outcome, or conversation text — when the user has no session id yet. DO NOT TRIGGER for design-time architecture questions (use agentforce-architecture-analyze instead) or for runtime perf/latency/SLO questions that require platform telemetry beyond Data Cloud.

forcedotcom avatarforcedotcom
获取
ucp

ucp

469prompting-reasoning

Use when the user wants to use the UCP CLI to find, compare, buy, or track products from online merchants, or to set up and troubleshoot the local UCP profile required for merchant-scoped operations. Covers global catalog search (\"find me X under $Y\"), named-merchant transactions (\"buy this from Z.com\"), order tracking, `ucp profile init`, `ucp doctor`, carts, checkout, orders, and UCP setup/help. Falls back to merchant-hosted handoff when direct in-protocol checkout isn't available.

shopify avatarshopify
获取
munger-perspective

munger-perspective

323prompting-reasoning

查理·芒格的思维框架与表达方式。基于《穷查理宝典》、伯克希尔/Daily Journal股东会、 USC/哈佛演讲、访谈记录、外部批评等50+来源的深度调研, 提炼5个核心心智模型、8条决策启发式和完整的表达DNA。 用途:作为思维顾问,用芒格的视角分析问题、审视决策、提供反馈。 当用户提到「用芒格的视角」「芒格会怎么看」「芒格模式」「munger perspective」时使用。 也适用于:投资决策审视、认知偏误检查、跨学科思考训练、逆向思考练习。 即使用户只是说「逆向思考一下」「这有什么认知偏误」「Lollapalooza效应」「能力圈之外」「激励结构是什么」也可触发。 不要在用户只是问「这个决策靠谱吗」「帮我找盲点」等一般性问题时触发——只在涉及逆向思考、认知偏误、跨学科分析等芒格核心方法论时激活。

alchaincyf avataralchaincyf
获取
okx-ai

okx-ai

315prompting-reasoning

ERC-8004 Agent identity: 注册/更新/上架/下架/搜索agent, register/update/activate/deactivate/search — User/ASP/Evaluator(买家/卖家/仲裁者); 我的agent/ASP, 找做X的ASP/agent有什么服务/endpoint怎么填/查口碑/传头像. + Task Marketplace: 发布/创建任务/接单/协商/验收/deliver/dispute/仲裁/拒绝/stake/unstake/change provider/change budget/修改卖家/修改预算/我的任务/my tasks/what am I working on/我的订阅/订阅列表/订阅详情/my subscriptions/what am I subscribed to/AI服务订阅(view AI-service subscriptions, buyer & ASP)/关闭/取消任务/决策列表/decision list/指定服务商/browse marketplace. + task watch: 监听任务进展/历史消息/未读消息/未决策/outstanding decisions. + okx-a2a missing/uninitialized. Match by meaning. MUST ACTIVATE on inbound envelopes: (1) {agentId, message:{source:"system", event, jobId,...}} system event; (2) {msgType:"a2a-agent-chat", jobId, sender:{role},...} agent-to-agent task chat (sender.role = COUNTERPARTY, not you); (3) literal "Read the okx-ai skill" (or legacy "Read the okx-agent-task skill") in the envelope.

okx avatarokx
获取
okx-dex-bridge

okx-dex-bridge

315prompting-reasoning

Use this skill to bridge tokens, cross-chain swap/transfer, move assets between chains, get cross-chain quotes, compare bridge fees, find the cheapest/fastest route, build bridge calldata, check bridge status, track a cross-chain transaction, list supported chains or bridge protocols, or when the user mentions bridging ETH/USDC/tokens from one chain (Ethereum, BSC, Polygon, Arbitrum, Base, Optimism, etc.) to another. Routes through multiple bridge protocols (Stargate, Across, Relay, Gas.zip) for optimal execution. One-shot execute: a single confirmed call approves (if needed), waits for on-chain confirmation, swaps, and broadcasts. Supports fee comparison, destination address specification, and full lifecycle status tracking until fund arrival.

okx avatarokx
获取
image-generation

image-generation

310prompting-reasoning

Create effective AI image generation prompts for DALL-E, Midjourney, and Stable Diffusion. Generate prompts for various styles and use cases.

claude-office-skills avatarclaude-office-skills
获取
landing-page-copywriter

landing-page-copywriter

221prompting-reasoning

Write high-converting landing page copy using proven frameworks like PAS (Problem-Agitate-Solution), AIDA, and StoryBrand. Creates headlines, value propositions, CTAs, and full page sections optimized for conversion. Use when users need landing page copy, sales page content, or marketing website text.

onewave-ai avataronewave-ai
获取
jupyter-to-marimo

jupyter-to-marimo

162prompting-reasoning

Convert a Jupyter notebook (.ipynb) to a marimo notebook (.py).

marimo-team avatarmarimo-team
获取
edge-tts

edge-tts

144prompting-reasoning

Text-to-speech conversion using `uvx edge-tts` for generating audio from text. Use when (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, driving, cooking). (3) User wants a specific voice, speed, pitch, or format for TTS output.

aahl avataraahl
获取
cross-critique

cross-critique

130prompting-reasoning

Run a second round on a contested question by circulating each subagent's independent proposal to the other authors and asking for structured pros and cons, then synthesize. Use this skill whenever you have multiple independent proposals or opinions on a contested decision — architecture tradeoffs, code review disagreements, design choices, competing root-cause theories — and want sharper analysis than you'd produce by synthesizing alone. Pairs naturally with the council and research skills; reach for it liberally whenever proposals diverge.

warpdotdev avatarwarpdotdev
获取
parallel-cli-setup

parallel-cli-setup

60prompting-reasoning

Set up and maintain the Parallel CLI (install, auth, balance, skills install)

parallel-web avatarparallel-web
获取
qianwen-text

qianwen-text

41prompting-reasoning

[QianWen] Generate text, have conversations, write code, reason, and call functions with Qwen models. TRIGGER when: user asks to chat with Qwen, generate text, write code with Qwen, use Qwen function calling, or explicitly invokes this skill by name (e.g. use qianwen-text). DO NOT TRIGGER when: general coding questions without Qwen, non-Qwen AI model usage (OpenAI, Gemini, etc.), image/video understanding (use qianwen-vision), image/video/audio generation.

qianwen-ai avatarqianwen-ai
获取
arize-prompt-optimization

arize-prompt-optimization

41prompting-reasoning

Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.

arize-ai avatararize-ai
获取
text-optimizer

text-optimizer

29prompting-reasoning

Optimizes text, prompts, and documentation for LLM token efficiency. Applies 52 research-backed rules across 8 categories: Claude behavior, token efficiency, structure, deduplication, reference integrity, perception, LLM comprehension, and aggressive lossy (deep only). Use when optimizing prompts, reducing tokens, compressing verbose docs, or improving LLM instruction quality.

kochetkov-ma avatarkochetkov-ma
获取
elevenlabs-music-generation

elevenlabs-music-generation

21prompting-reasoning

通过 `runcomfy` CLI 在 RunComfy 上使用 ElevenLabs Music 生成完整歌曲和纯音乐轨道。ElevenLabs Music 将风格描述加上结构化歌词转化为录音室品质的 44.1 kHz 立体声音频——时长 5 秒到 5 分钟——支持段落级控制(前奏/主歌/副歌/桥段)、多语言演唱和商用输出。可生成背景音乐、完整人声歌曲、广告曲、播客开场、游戏循环或纯音乐垫音。调用 `runcomfy run elevenlabs/elevenlabs/music-generation` 通过本地 RunComfy CLI 执行。触发词包括“生成音乐”、“制作歌曲”、“AI 音乐”、“背景音乐”、“纯音乐”、“ElevenLabs Music”、“配乐”、“广告曲”、“主题音乐”、“免版税音乐”、“作曲”,或任何明确要求从文本描述生成音乐或歌曲的请求。

agentspace-so avataragentspace-so
获取
ai-video-generation

ai-video-generation

21prompting-reasoning

>

agentspace-so avataragentspace-so
获取
ai-image-generation

ai-image-generation

21prompting-reasoning

>

agentspace-so avataragentspace-so
获取
ai-avatar-video

ai-avatar-video

21prompting-reasoning

通过 `runcomfy` CLI 在 RunComfy 上创建 AI 头像、对口型视频和虚拟主播视频。路由至字节跳动 OmniHuman(音频驱动的全身头像)、Wan-AI Wan 2-7(通过 `audio_url` 驱动肖像口型同步)、HappyHorse 1.0(Arena #1 t2v / i2v,内置音频)和 Seedance v2 Pro(多模态电影级,带参考音频和参考主体)。根据用户的实际意图——UGC 配音、虚拟主播、配音产品演示、对口型角色、对话场景——选择正确的模型,并提供每个模型的文档提示模式以及最简 `runcomfy run` 调用。触发词包括“talking head”、“lip sync”、“avatar video”、“make X speak”、“audio to video”、“audio driven avatar”、“virtual presenter”、“AI spokesperson”、“dubbed video”、“UGC avatar”、“HeyGen alternative”、“Synthesia alternative”、“digital human”、“make this portrait talk”、“video from voiceover”或任何明确要求让人物说话的表达。

agentspace-so avataragentspace-so
获取
xai-grok-onboarding

xai-grok-onboarding

21prompting-reasoning

Connect an xAI account (X Premium / X Premium+ / SuperGrok / SuperGrok Heavy) via OAuth 2.0 device-code login. Use when the user wants to sign in with their xAI account (e.g. "use my SuperGrok", "log in with Grok", "connect my X Premium").

starchild-ai-agent avatarstarchild-ai-agent
获取
image-to-video

image-to-video

20prompting-reasoning

在 RunComfy 上将静态图像动画化——本技能是一个智能路由器,根据用户意图匹配 RunComfy 目录中合适的 i2v 模型。对于通用动画,选择 HappyHorse 1.0 I2V(Arena 排名第一,原生音频,身份保持);对于自定义配音唇形同步,选择 Wan 2.7 配合 `audio_url`;对于多模态动画(图像+参考视频+参考音频),选择 Seedance 2.0 Pro。每个模型都附带了文档化的提示模式,使调用者无需在错误模型上反复尝试即可获得更清晰的输出。通过本地 RunComfy CLI 调用 `runcomfy run <vendor>/<model>/image-to-video`(或端点变体)。触发词包括“image to video”、“image-to-video”、“i2v”、“animate image”、“make this move”或任何明确要求将静态图像转为视频的表述。

agentspace-so avataragentspace-so
获取
flux-kontext

flux-kontext

20prompting-reasoning

>

agentspace-so avataragentspace-so
获取