数据分析、机器学习、LLM 应用、提示词设计（9027 个）
Integrate or audit privacy-safe PostHog analytics across NowStack Mobile Expo and TanStack web surfaces. Use for event design, consent, identity, dev/prod separation, funnels, feature flags, or analytics verification.
中文简介正在准备中。当前显示原文说明。
Summarize any block of text using the `summarize` CLI (chained-in from steipete/summarize — npm package `@steipete/summarize`). Use whenever the user pastes a long piece of content and asks for a TL;DR, a summary, a digest, a gist, a condensed version, or key points — even if they don't explicitly say "use summarize". Also chains into `mktg-transcribe --summarize` for audio/video TL;DRs and source-digestion workflows to condense long articles. Requires the `summarize` CLI to be installed (`mktg doctor` will tell you if it's missing). Do NOT trigger for structured data (JSON/CSV/code), for text already shorter than ~500 words, or when the user wants the full content preserved.
中文简介正在准备中。当前显示原文说明。
Call Exa Contents (POST /contents) for LLM-ready extraction from known URLs: text, highlights, summaries, links, image links, subpages, freshness-controlled crawl. Use when the agent already has URLs. Prefer Exa MCP web_fetch_exa when available; otherwise raw HTTP with EXA_API_KEY. NOT for open-ended discovery (use exa-search) or auth-walled X/Twitter (use mktg-x). For full-site crawl of a known domain, firecrawl may be better.
中文简介正在准备中。当前显示原文说明。
Enhance an existing marketing plan with parallel research. Use when the agent has a draft plan (brand strategy, campaign brief, content calendar, launch plan) that needs strengthening with real data. Triggers on 'deepen this plan', 'strengthen this strategy', 'research gaps in my plan', 'make this plan better', 'this plan is too surface level', 'add research to this', 'validate this plan', 'back this up with data', or when a plan exists but lacks audience data, competitive positioning, or keyword strategy. Make sure to use this whenever someone has an EXISTING plan that feels thin or unresearched — even if they just say 'is this plan good enough?' or 'what's missing here?', they likely need deepening. This skill ENHANCES existing plans — it does not create new ones. If no plan exists, route to /brainstorm or /launch-strategy first.
中文简介正在准备中。当前显示原文说明。
Map who is winning an SEO market with measured data — recurring SERP domains, organic footprints, winning content themes, backlink authority, and the gaps worth attacking. Use this skill for market-level questions ("who ranks for X", "how competitive is this space", "where are the SEO openings") before committing to keyword targets or content themes. For one named competitor, use openseo-competitor-analysis instead. Triggers: "competitive landscape seo", "who ranks for", "seo market map", "how competitive is", "serp competitors".
中文简介正在准备中。当前显示原文说明。
Use when the user wants professional brand-quality product images via Higgsfield's mode-specific prompt enhancement pipeline. Entry point for any product visual with a specific format or platform target. Use whenever: "product photoshoot", "lifestyle product shots", "Pinterest pin", "hero banner", "ad pack", "virtual try-on", "studio shot", "carousel images", "Meta ads creative", "model wearing product", "levitating product", "splash shot", "CGI style product", "restyle product image", Shopify image, brand campaign visual. 10 modes: product_shot, lifestyle_scene, closeup_product_with_person, moodboard_pin, hero_banner, social_carousel, ad_creative_pack, virtual_model_tryout, conceptual_product, restyle. Backend assembles the prompt — never call gpt_image_2 directly for product shots. NOT for: one-off images without a product (use image-gen), branded video with avatars (use higgsfield-generate), Soul training (use higgsfield-soul-id). Requires Higgsfield CLI and authed account.
中文简介正在准备中。当前显示原文说明。
Assistant-behavior design skill for approximating a Claude-like analytical, careful, conversational style without claiming to be Claude or Anthropic. Use when the user asks to duplicate, emulate, adapt, or recreate a Claude-style "mythos" or persona for prompts, agent specs, writing style, reasoning discipline, safety posture, or UX behavior.
中文简介正在准备中。当前显示原文说明。
Prompt engineering and task-specification skill for improving prompts, agent instructions, system messages, evaluation prompts, coding-agent tasks, multi-step workflows, and LLM output reliability. Use when rewriting vague prompts, adding constraints, reducing ambiguity, improving safety, creating reusable prompt templates, or converting goals into actionable agent instructions.
中文简介正在准备中。当前显示原文说明。
Multilingual communication, translation, localization, and language quality skill for translating, rewriting, localizing, summarizing, tone-matching, and reviewing content across languages. Use for multi-language prompts, UI strings, documentation, cultural adaptation, terminology consistency, bilingual output, language detection, and Indonesian/English or other cross-language workflows.
中文简介正在准备中。当前显示原文说明。
Build ML pipeline orchestration systems. TRIGGERS - Use when user needs help with ai-pipeline-orchestrator related tasks.
中文简介正在准备中。当前显示原文说明。
Build marketplaces for AI models and prompts. TRIGGERS - Use when user needs help with ai-marketplace-builder related tasks.
中文简介正在准备中。当前显示原文说明。
Build AI data extraction pipelines. TRIGGERS - Use when user needs help with ai-extraction-pipeline related tasks.
中文简介正在准备中。当前显示原文说明。
Build AI data deduplication systems. TRIGGERS - Use when user needs help with ai-deduplication related tasks.
中文简介正在准备中。当前显示原文说明。
Build data privacy systems for AI. TRIGGERS - Use when user needs help with ai-data-privacy-system related tasks.
中文简介正在准备中。当前显示原文说明。
Curate and prepare datasets for AI training. TRIGGERS - Use when user needs help with ai-dataset-curator related tasks.
中文简介正在准备中。当前显示原文说明。
Build data pipelines for AI model training. TRIGGERS - Use when user needs help with ai-data-pipeline related tasks.
中文简介正在准备中。当前显示原文说明。
Design feature stores for ML systems. TRIGGERS - Use when user needs help with ai-feature-store related tasks.
中文简介正在准备中。当前显示原文说明。
Optimize embedding strategies for AI retrieval. TRIGGERS - Use when user needs help with ai-embedding-optimizer related tasks.
中文简介正在准备中。当前显示原文说明。
Build entity extraction systems for structured data from text. TRIGGERS - Use when user needs help with ai-entity-extractor related tasks.
中文简介正在准备中。当前显示原文说明。
Guide AI model fine-tuning with data preparation. TRIGGERS - Use when user needs help with ai-fine-tuning-guide related tasks.
中文简介正在准备中。当前显示原文说明。
Plan AI fine-tuning projects with data preparation, training, and evaluation. TRIGGERS - Use when user needs help with ai-fine-tuning-plan related tasks.
中文简介正在准备中。当前显示原文说明。
Build AI data cleaning systems. TRIGGERS - Use when user needs help with ai-data-cleaner related tasks.
中文简介正在准备中。当前显示原文说明。
Build AI conversation analytics systems. TRIGGERS - Use when user needs help with ai-conversation-analyzer related tasks.
中文简介正在准备中。当前显示原文说明。
Design analytics for AI chatbot performance. TRIGGERS - Use when user needs help with ai-chatbot-analytics related tasks.
中文简介正在准备中。当前显示原文说明。