How do I install the Deepseek Reasoning skill?

Run npx skillmds@latest add dreamlab-ai/deepseek-reasoning in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Deepseek Reasoning safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Deepseek Reasoning?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Deepseek Reasoning free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Deepseek Reasoning?

dreamlab-ai (@dreamlab-ai) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Deepseek Reasoning by dreamlab-ai — Agent Skill

Name: Deepseek Reasoning
Author: dreamlab-ai

Deepseek Reasoning

Use when the user says "ask deepseek", "consult deepseek", "delegate reasoning to deepseek", or wants a second opinion / an explicit chain-of-thought reasoning trace on a hard problem — root-cause debugging, algorithm design, dependency-aware task planning — from DeepSeek V4 Flash via the consultant-deepseek MCP tool (consult / health / cost_estimate). NOT for straightforward code generation or editing (Claude does that directly), web research (use perplexity-research), GitHub PR review (github-code-review), OpenAI delegation (openai-codex / codex-companion), or latency-sensitive calls (DeepSeek adds 2-5s per call).

dreamlab-ai 6ec59dc 4 files · 15.2 KB Updated Sep 17, 2026

File contents

DeepSeek Reasoning Skill

Reach DeepSeek's reasoning model from Claude Code via the consultant-deepseek MCP server. This is one of five uniform "consultant" bridges (codex, deepseek, perplexity, antigravity, zai) under /opt/agentbox/mcp/consultants/, registered in skills/mcp.json. It is launched on demand by the MCP client — there is no supervisord program, no config file, and no bespoke bridge code in this skill. DeepSeek acts as the reasoning planner; Claude executes.

What it provides

Explicit reasoning traces — DeepSeek V4 Flash returns its chain-of-thought in message.reasoning_content, which the consultant folds into the response under a <reasoning>...</reasoning> preamble ahead of the answer.
Root-cause analysis — deep code/system debugging with a visible reasoning trail.
Task planning — dependency-aware phase/task breakdowns.
Hybrid workflow — Claude as executor, DeepSeek as reasoning planner.

When not to use

Straightforward code generation or editing — Claude handles this directly.
Web research or live information — use perplexity-research.
Code review on GitHub PRs — use github-code-review.
OpenAI model delegation — use openai-codex or codex-companion.
Latency-sensitive tasks — DeepSeek adds 2-5s per call; use Claude directly.

Tools (MCP)

Three tools, the shape shared by every consultant server:

consult — submit a question (and optional curated context) and get an answer with model, token usage, cost, and citations.
health — liveness + auth probe. No paid call.
cost_estimate — estimate USD cost from question/response token counts.

Full parameter and return schemas: references/tools.md.

Configuration

Model: AGENTBOX_DEEPSEEK_MODEL env var, default deepseek-v4-flash (agentbox.toml [consultants.deepseek] model).
Auth: DEEPSEEK_API_KEY from session env (optional DEEPSEEK_BASE_URL override for a non-default endpoint). No credential file.
Gate: env:AGENTBOX_CONSULTANTS_ENABLED.

References

references/tools.md — tool signatures, return schemas, DeepSeek-vs-Claude comparison.
references/workflows.md — invocation examples, hybrid workflow, advanced usage, best practices.
references/operations.md — real wiring, health checks, troubleshooting.

---name: deepseek-reasoningdescription: Use when the user says "ask deepseek", "consult deepseek", "delegate reasoning to deepseek", or wants a second opinion / an explicit chain-of-thought reasoning trace on a hard problem — root-cause debugging, algorithm design, dependency-aware task planning — from DeepSeek V4 Flash via the consultant-deepseek MCP tool (consult / health / cost_estimate). NOT for straightforward code generation or editing (Claude does that directly), web research (use perplexity-research), GitHub PR review (github-code-review), OpenAI delegation (openai-codex / codex-companion), or latency-sensitive calls (DeepSeek adds 2-5s per call).---# DeepSeek Reasoning SkillReach DeepSeek's reasoning model from Claude Code via the **`consultant-deepseek`**MCP server. This is one of five uniform "consultant" bridges (codex, deepseek,perplexity, antigravity, zai) under `/opt/agentbox/mcp/consultants/`, registeredin `skills/mcp.json`. It is launched on demand by the MCP client — there is nosupervisord program, no config file, and no bespoke bridge code in this skill.DeepSeek acts as the reasoning planner; Claude executes.## What it provides- **Explicit reasoning traces** — DeepSeek V4 Flash returns its chain-of-thought in `message.reasoning_content`, which the consultant folds into the response under a `<reasoning>...</reasoning>` preamble ahead of the answer.- **Root-cause analysis** — deep code/system debugging with a visible reasoning trail.- **Task planning** — dependency-aware phase/task breakdowns.- **Hybrid workflow** — Claude as executor, DeepSeek as reasoning planner.## When not to use- Straightforward code generation or editing — Claude handles this directly.- Web research or live information — use perplexity-research.- Code review on GitHub PRs — use github-code-review.- OpenAI model delegation — use openai-codex or codex-companion.- Latency-sensitive tasks — DeepSeek adds 2-5s per call; use Claude directly.## Tools (MCP)Three tools, the shape shared by every consultant server:- **`consult`** — submit a question (and optional curated context) and get an answer with model, token usage, cost, and citations.- **`health`** — liveness + auth probe. No paid call.- **`cost_estimate`** — estimate USD cost from question/response token counts.Full parameter and return schemas: [`references/tools.md`](references/tools.md).## Configuration- Model: `AGENTBOX_DEEPSEEK_MODEL` env var, default `deepseek-v4-flash` (`agentbox.toml` `[consultants.deepseek] model`).- Auth: `DEEPSEEK_API_KEY` from session env (optional `DEEPSEEK_BASE_URL` override for a non-default endpoint). No credential file.- Gate: `env:AGENTBOX_CONSULTANTS_ENABLED`.## References- [`references/tools.md`](references/tools.md) — tool signatures, return schemas, DeepSeek-vs-Claude comparison.- [`references/workflows.md`](references/workflows.md) — invocation examples, hybrid workflow, advanced usage, best practices.- [`references/operations.md`](references/operations.md) — real wiring, health checks, troubleshooting.

Frequently asked questions