提示词与推理

提示词工程、角色设定和推理模式

312 個 Skills 可用

Skills 列表

kibana-agent-builder

kibana-agent-builder

577prompting-reasoning

Create and manage Kibana Agent Builder agents and custom tools. Use when asked to create, update, delete, test, or inspect agents or tools in Agent Builder, or when the user wants to understand what agents or tools already exist.

elastic avatarelastic
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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
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content-pattern-analyzer-sms

content-pattern-analyzer-sms

445prompting-reasoning

When the user wants to find patterns in what content works and what doesn't. Also use when the user mentions 'what's working,' 'content patterns,' 'best topics,' 'best format,' 'best time to post,' 'analyze my content,' 'do more of,' 'do less of,' or 'what should I change.' For raw metrics, see performance-analyzer-sms. For audience-specific analysis, see audience-growth-tracker-sms. For actionable recommendations, see optimization-advisor-sms.

blacktwist avatarblacktwist
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aws-sdk-java-v2-bedrock

aws-sdk-java-v2-bedrock

329prompting-reasoning

Provides Amazon Bedrock patterns using AWS SDK for Java 2.x. Invokes foundation models (Claude, Llama, Titan), generates text and images, creates embeddings for RAG, streams real-time responses, and configures Spring Boot integration. Use when asking about Bedrock integration, Java SDK for AI models, AWS generative AI, Claude/Llama invocation, embeddings for RAG, or Spring Boot AI setup.

giuseppe-trisciuoglio avatargiuseppe-trisciuoglio
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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
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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
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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
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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
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autopilot

autopilot

249prompting-reasoning

Use when the user dictates an app, site, bot, or feature to build end-to-end and expects a finished result without reviewing specs, tickets, or code — vibecoding sessions, non-technical users, "собери под ключ", "build it for me", "не задавай лишних вопросов" requests. Also use when the user invokes /autopilot, or asks for a build in a named mode, depth or finish — «полный автомат», «режим интервью», «погриль меня», «ручной режим», «строго по брифу», «проработай глубоко», «вылижи до эталона».

nick-vels avatarnick-vels
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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
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debug-model

debug-model

191prompting-reasoning

Debug silent corruption when a MAX model loads, compiles, serves, and generates tokens but output disagrees with a reference implementation. Use whenever parity debugging stalls on scalar taps, the model returns gibberish or wrong greedy tokens, logit cosine is high but argmax differs, or generation is coherent then diverges — during an architecture port, a quantization bring-up, a multi-GPU conversion, or after a MAX upgrade. Triggers on "parity failure", "silent corruption", "logits match but tokens diverge", "top-1 mismatch", "greedy divergence", and "model serves but generates garbage". Not for crashes on load or pre-serve scaffolding (use import-model). Mandates reference-vs-MAX tensor-dump comparators first, verify fixes numerically before recompiling, and serve-vs-pipeline bisect when dumps match but text diverges.

modular avatarmodular
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influence-and-negotiation

influence-and-negotiation

178prompting-reasoning

Influence and negotiation toolkit for any interaction requiring another person's agreement, even when not framed as 'negotiation'. Covers: B2B sales, salary review, collective bargaining/unions, hard 1:1s, decision announcements, mediation, cross-cultural deals, recruitment, reaching out to a manager, CFO, customer, vendor, or colleague, responding to feedback, headcount requests, declining, pushing back on scope, justifying a delay, explaining a decision, raising a concern, getting alignment. Apply when preparing, live, or drafting any diplomatic message. Triggers: coaching prompts ('they just said X', 'what do I say', 'draft a reply'); counterparty cues (buyer, customer, champion, procurement, RFP, sponsor, HR, union, CHRO, ExCo, candidate, counter-offer, partner, peer); situation cues (pushback, refusal, ghosted, no-decision, escalation, fixed budget, MFN, raise, comp band, strike, layoff, recadrage, expectation reset, M&A, BATNA, objection, concession, anchor, mirroring).

samber avatarsamber
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answers

answers

176prompting-reasoning

USE FOR AI-grounded answers via OpenAI-compatible /chat/completions. Two modes: single-search (fast) or deep research (enable_research=true, thorough multi-search). Streaming/blocking. Citations.

brave avatarbrave
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jupyter-to-marimo

jupyter-to-marimo

162prompting-reasoning

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

marimo-team avatarmarimo-team
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dt-obs-genai

dt-obs-genai

158prompting-reasoning

Analyze & debug GenAI/LLM apps: token cost & caching by prompt, model & provider; latency/errors; agent & tool loops/failures; conversations; guardrails; evaluations; OpenTelemetry/dt-evals setup.

dynatrace avatardynatrace
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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
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speckit-constitution

speckit-constitution

133prompting-reasoning

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

dceoy avatardceoy
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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
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taleb-perspective

taleb-perspective

115prompting-reasoning

塔勒布(Nassim Nicholas Taleb)的思维框架与表达方式。基于40+个来源的深度调研, 提炼6个核心心智模型、9条决策启发式和完整的表达DNA。 用途:作为思维顾问,用塔勒布的视角分析问题、审视决策、质疑主流叙事。 当用户提到「用塔勒布的视角」「塔勒布会怎么看」「塔勒布模式」「反脆弱视角」「taleb perspective」时使用。 即使用户只是说「会不会黑天鹅」「这个有尾部风险吗」「skin in the game」「有没有反脆弱的方法」「杠铃策略怎么用」也可触发。 不要在用户只是做一般风险评估或问「靠不靠谱」时触发——只在涉及极端风险、反脆弱、预防原则等塔勒布核心概念时激活。

alchaincyf avataralchaincyf
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deepseek-ocr

deepseek-ocr

78prompting-reasoning

Expert skill for using DeepSeek-OCR, a vision-language model for optical character recognition with context optical compression supporting documents, PDFs, and images.

reason-machines avatarreason-machines
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parallel-cli-setup

parallel-cli-setup

60prompting-reasoning

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

parallel-web avatarparallel-web
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bailian-model-recommend

bailian-model-recommend

57prompting-reasoning

阿里云百炼模型选型与推荐。当用户需要"选择、推荐、对比"模型,或描述一个 AI 场景/功能需求(隐含需要帮其决策用哪个模型)时激活。核心意图是帮用户做决策, 不是单纯查资料。触发词:推荐模型、选哪个、哪个适合、对比、做一个XX、实现XX 功能、用什么模型好、XX场景方案。当用户同时涉及模型查询和模型选择时,优先 使用本 skill(本 skill 内部会读取模型数据完成推荐)。

modelstudioai avatarmodelstudioai
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build-models

build-models

56prompting-reasoning

Package and build custom AI models with Cog for deployment on Replicate. Use when creating a cog.yaml or predict.py, defining model inputs and outputs, loading model weights at setup time, building Docker images for ML models, serving locally with cog serve or cog predict, or porting a HuggingFace, GitHub, or ComfyUI model to run on Replicate. Trigger on phrases like "build a model", "package a model", "create a Cog model", "wrap a model", "containerize an AI model", "predict.py", "cog.yaml", "BasePredictor", or "Cog container", and when referencing cog.run, github.com/replicate/cog, or github.com/replicate/cog-examples. Covers GPU and CUDA setup, pget for fast weight downloads, async predictors with continuous batching, streaming outputs, and cold-boot optimization for image, video, audio, and LLM models. For pushing built models to Replicate, see publish-models. For running existing models, see run-models.

replicate avatarreplicate
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bailian-docs-llm-wiki

bailian-docs-llm-wiki

52prompting-reasoning

阿里云百炼平台技术文档知识库(LLM Wiki)。当用户查询百炼模型列表、API 参数、错误码、 应用开发(智能体/RAG/知识库/记忆/插件)、模型对比与定价、SDK/OpenAI 兼容接口、 多模态能力(语音/图片/视频)、Token 计费等百炼相关问题时激活。 包含 models 结构化模型市场数据(含 contextWindow/QPM/价格/sample code)、 wiki 合成层(主题页/概念页/对比页)和 raw 原始文档层; 模型规格类问题先查 models/index.md,文档类问题先查 wiki/index.md。

modelstudioai avatarmodelstudioai
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