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DeepSeek

DeepSeek model family; verify the model ID and interface in the case and official docs.

Official source ↗ · Source checked 2026-10-23

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Tasks covered in this library

39 tag-associated cases; tool roles have not all been reviewed. This is not the product’s full capability range.

Latest case update:2026-10-31

Workflows, prerequisites & evidence

Research & Knowledge

DeepSeek Desktop Paper-Reading Plugin: Upload PDF and Ask, Answers with Page Numbers Linking Back to Source

Install plugin in DeepSeek official desktop app → upload PDF literature → ask directly or select text to query → click page number in answer to jump back to highlighted source; supports one-click Chinese translation

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Requires: DeepSeek official desktop app V0.2.0-rc.2 or later; DeepSeek account; PDF literature files. First-time Chinese translation requires an OpenAI-compatible endpoint API key (DeepSeek/GLM/Kimi etc.). No additional cost information provided.

DeepSeek

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Work & Operations

Generate and Review Office Files with Natural Language in DSH

Input: natural-language task description; Processing: DeepSeek Harness + Univer Office plugin creates isolated drafts with live validation; Output: previewable .univer content that can be confirmed or discarded, exported to .xlsx/.docx/.pptx

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Prerequisites: DeepSeek Harness (supported versions: 0.1.5-rc.3 / 0.1.7-rc.1 / 0.2.0-rc.1 / 0.2.1-rc.3) and Node.js >=22.19.0. Installation: stop DSH (Ctrl+C), run `dsh plugin --profile web add dsh-univer-office`, then `dsh web` and refresh the browser. No extra signup or API key needed. Cost: not stated.

DeepSeek

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Content & Creative

DeepSeek Harness WeChat Article Plugin: From Topic Selection to WeChat Drafts via Chat

Install a plugin in DeepSeek Harness and use natural-language chat to handle topic selection, writing, review, layout, image generation, and publishing prep for WeChat Official Account articles

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Prerequisites: macOS or Linux terminal, Node.js 22.19+ (or 24+), pnpm 11, git. Currently RC stage; install DeepSeek Harness and the plugin from source. After installation, configure account positioning, content strategy, writing style, visual style, and optional WeChat publishing credentials via the Web UI. All articles and assets stay in your local project directory.

DeepSeek

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Content & Creative

One-Click WeChat Article Pipeline from Topic to Draft Box in DSH Local Workbench

Input a trending topic or custom theme → DeepSeek Harness plugin runs a 6-step pipeline → outputs a WeChat Official Account draft ready for review

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Prerequisites: Node.js ^22.19.0 or >=24.0.0, with npx @deepseek-ai/dsh already working. Requires WeChat Official Account AppID + AppSecret (from the platform admin console "Settings & Development → Basic Configuration"). Image-provider API Key is optional; articles proceed without images if not configured. Credentials and data stay local in ~/.dsh only, never in git, never leaving the machine. This plugin v0.1/v0.2 only supports pushing to the draft box; no mass-publish or freepublish path is available.

DeepSeek

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Sales, Marketing & Support

Reverse-engineer viral e-commerce videos with DeepSeek vision model to generate Seedance replication prompts

Input: viral e-commerce video → Process: frame extraction + S-A-C-S-C shot analysis + styled generation → Output: copy-ready Seedance prompt pack

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Local Python script workflow. Prerequisites: Python environment, pip install openai, ffmpeg in PATH, DeepSeek API key (~/.deepseek_api_key or DEEPSEEK_API_KEY env var). Model: deepseek-v4-flash-vision (vision understanding). Cost: pay-per API call; 1 analyze + 1 generate per style; 10s video analyzes in ~16s, generates in ~24–69s.

DeepSeek

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Research & Knowledge

StudyMate DeepSeek Harness Learning Mode: Master a Subject with AI-Guided Plans, Lessons, and Projects

Install the DSH plugin → start a Learning Mode session → enter your subject or ask for direction → follow live-rendered lessons, exercises, and projects in the reader pane

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Prerequisites: DeepSeek Harness (DSH) 0.1.7-alpha.1+ and Node.js 22.19+ or 24. The default workspace is ~/StudyMate, where all course files and memory are stored. First install the @yunmiao/studymate plugin; interact via DSH sessions, with the reader pane rendering courseware live. Exporting static pages requires additional React installation (npm i -g react react-dom). Cost conditions are unknown.

DeepSeek

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Games & Simulations

Generate a Playable Gomoku HTML Game in One Sentence

Type a natural-language request → DeepSeek outputs a complete single-file HTML → Save and open in browser to play

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Prerequisites: access to DeepSeek chat or API; a web browser. Cost: not specified by source. Input: one sentence in Chinese. Output: a complete HTML code block.

DeepSeek

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Work & Operations

Auto-Tag News Text with DeepSeek's Official Content Classification Prompt

Input news text → classify via predefined system prompt → receive single category label

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Use in any DeepSeek chat interface that supports system/user roles (API or official app). No additional tools or plugins required. Cost depends on the token pricing of the chosen DeepSeek model; not specified in source.

DeepSeek

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Work & Operations

Turn News into Structured JSON with DeepSeek

Paste news text → model extracts entity, time, and summary into a fixed JSON schema → output ready for parsing

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Prerequisites: access to DeepSeek chat or API. No additional tools or account permissions needed. Cost conditions unknown. Input is any news text; output is JSON with fixed fields. Note: the system prompt shows the field name "entiry", which appears to be a typo, but the official assistant example correctly uses "entity".

DeepSeek

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Sales, Marketing & Support

DeepSeek Official Prompt: Slogan Generation

Enter product name → Use system prompt to set a slogan-expert role → Get a rhyming tagline

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Requires access to DeepSeek web UI or API. Paste the system prompt into the system-prompt field, then send a user message replacing the product name. No extra tools or configuration needed.

DeepSeek

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Work & Operations

Prompt Generator for AI Assistants

Describe your assistant need → DeepSeek generates a structured system prompt in Markdown → Reuse or refine directly

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No additional tools or configuration needed. In any chat interface that supports system prompts (e.g., DeepSeek web app, API Playground), paste the official system prompt to set the role, then describe your need.

DeepSeek

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Work & Operations

Chinese-English Translation Expert: DeepSeek Official Prompt for Faithful, Fluent & Elegant Translation

Input any Chinese or English text → model outputs a corresponding translation following the "faithfulness, fluency, elegance" standard

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Prerequisites: access to DeepSeek web app or API. Input format: plain text (Chinese or English). Cost: unknown; depends on current DeepSeek pricing or free-tier limits. Boundary: non-Chinese content will also receive a Chinese translation; the model auto-detects source language and outputs the target translation.

DeepSeek

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Software & DevOps

Build a Low-Cost Nighttime Auto-Dev Pipeline with Grok Bot + DeepSeek Flash

Input: dev task description; Process: Grok Bot triggers on schedule/webhook, runs build-test-fix on DeepSeek Flash, stops after 2 tries; Output: merge-ready code changes awaiting human final approval

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Prerequisites: Grok Bot account, DeepSeek API key, Claude Code runtime. Point Claude Code to DeepSeek Flash via env vars, create one routine per job in Grok Bot, wake via webhook or schedule, run build-test-fix loops (max 2 retries), pause and notify on failure; schedule heavy runs for off-peak nights/weekends; final diff requires user approval before merge.

DeepSeek

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Software & DevOps

Claude Code + opencode CLI: Offload Heavy Work to DeepSeek

Configure opencode CLI in Claude Code's Opus to delegate testing and heavy tasks to DeepSeek V4.1 Flash

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Prerequisites: Claude Code installed with Opus access; opencode CLI installed; DeepSeek API key available. Give Opus the prompt to use the local opencode CLI to call DeepSeek V4.1 Flash as a sub-agent for non-design/architecture/complex-algorithm tasks.

Claude Code · DeepSeek

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Software & DevOps

Building a Personal AI Agent Stack with Claude Code

Home Linux server + Proxmox virtualization → multi-VM isolated architecture → build personal tools for real-life problems one by one

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Requires an always-on Linux host (recommended 10+ cores, 32 GB RAM), Proxmox virtualization, Claude Code subscription, and basic Linux networking and permissions management. Costs include one-time hardware and model API calls (author reports ~$20/mo Claude Pro plus minor OpenRouter fees). All code currently resides in private repositories and must be implemented independently.

Claude Code · GitHub · Telegram

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