Deepagents Setup Configuration
soba-labs/langchain-agent-skills
Initialize, validate, and troubleshoot Deep Agents projects in Python or JavaScript using the deepagents package.
当用户需要编写LangChain或LangGraph相关代码时，提供基于示例代码的编码辅助，包括RAG、Agent、工作流、工具定义、中间件等多种功能模块的实现指导。
Install Langchain Langgraph Coding Assistant
$ npx skills add 5zjk5/prompt-engineering --skill langchain-langgraph-coding-assistant -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install 5zjk5/prompt-engineering langchain-langgraph-coding-assistant --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/5zjk5/prompt-engineering.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'Skill/lang_chain&graphy_skill' .claude/skills/langchain-langgraph-coding-assistant && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "langchain-langgraph-coding-assistant" agent skill from https://github.com/5zjk5/prompt-engineering/tree/master/Skill/lang_chain%26graphy_skill into .claude/skills/langchain-langgraph-coding-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langchain-langgraph-coding-assistant", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/5zjk5/prompt-engineering/tree/master/Skill/lang_chain%26graphy_skillType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add 5zjk5/prompt-engineering --skill langchain-langgraph-coding-assistant -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install 5zjk5/prompt-engineering langchain-langgraph-coding-assistant --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/5zjk5/prompt-engineering.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'Skill/lang_chain&graphy_skill' .agents/skills/langchain-langgraph-coding-assistant && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "langchain-langgraph-coding-assistant" agent skill from https://github.com/5zjk5/prompt-engineering/tree/master/Skill/lang_chain%26graphy_skill into .agents/skills/langchain-langgraph-coding-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langchain-langgraph-coding-assistant", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add 5zjk5/prompt-engineering --skill langchain-langgraph-coding-assistant -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install 5zjk5/prompt-engineering langchain-langgraph-coding-assistant --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/5zjk5/prompt-engineering.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'Skill/lang_chain&graphy_skill' .cursor/skills/langchain-langgraph-coding-assistant && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "langchain-langgraph-coding-assistant" agent skill from https://github.com/5zjk5/prompt-engineering/tree/master/Skill/lang_chain%26graphy_skill into .cursor/skills/langchain-langgraph-coding-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langchain-langgraph-coding-assistant", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/5zjk5/prompt-engineering.git --path 'Skill/lang_chain&graphy_skill'--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add 5zjk5/prompt-engineering --skill langchain-langgraph-coding-assistant -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install 5zjk5/prompt-engineering langchain-langgraph-coding-assistant --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/5zjk5/prompt-engineering.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'Skill/lang_chain&graphy_skill' .gemini/skills/langchain-langgraph-coding-assistant && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "langchain-langgraph-coding-assistant" agent skill from https://github.com/5zjk5/prompt-engineering/tree/master/Skill/lang_chain%26graphy_skill into .gemini/skills/langchain-langgraph-coding-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langchain-langgraph-coding-assistant", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install 5zjk5/prompt-engineering langchain-langgraph-coding-assistantInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add 5zjk5/prompt-engineering --skill langchain-langgraph-coding-assistant -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/5zjk5/prompt-engineering.git skills-src && mkdir -p .github/skills && cp -r skills-src/'Skill/lang_chain&graphy_skill' .github/skills/langchain-langgraph-coding-assistant && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "langchain-langgraph-coding-assistant" agent skill from https://github.com/5zjk5/prompt-engineering/tree/master/Skill/lang_chain%26graphy_skill into .github/skills/langchain-langgraph-coding-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langchain-langgraph-coding-assistant", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add 5zjk5/prompt-engineering --skill langchain-langgraph-coding-assistant -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install 5zjk5/prompt-engineering langchain-langgraph-coding-assistant --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/5zjk5/prompt-engineering.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'Skill/lang_chain&graphy_skill' .opencode/skills/langchain-langgraph-coding-assistant && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "langchain-langgraph-coding-assistant" agent skill from https://github.com/5zjk5/prompt-engineering/tree/master/Skill/lang_chain%26graphy_skill into .opencode/skills/langchain-langgraph-coding-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langchain-langgraph-coding-assistant", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
langchain-langgraph-coding-assistant- GitHub stars
- 127
- Used in
- 1 other repo
- Token cost
- ~1.8k tokens
- SKILL.md length
- 349 words
- Files
- 294
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- None found
At a glance
当用户需要编写LangChain或LangGraph相关代码时，提供基于示例代码的编码辅助，包括RAG、Agent、工作流、工具定义、中间件等多种功能模块的实现指导。
- Works in 6 steps: 需求分析 → 查找相关示例 → 代码实现 → …
- Tasks that involve Building AI agents
- SKILL.md covers 描述, 使用场景 and 指令
- Runs Python scripts from its folder
What it does
Langchain Langgraph Coding Assistant is an agent skill from 5zjk5/prompt-engineering. 当用户需要编写LangChain或LangGraph相关代码时，提供基于示例代码的编码辅助，包括RAG、Agent、工作流、工具定义、中间件等多种功能模块的实现指导。
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 299 other files (for example `resources/MCP/调用本地工具/math_service.py`, `resources/MCP/调用本地工具/use_tool_1.py` and `resources/MCP/调用远程mcp服务/use_mcp_tool_1.py`).
It sits in AI & LLM Engineering, covering Building AI agents. It works with LangChain, LangGraph and React.
When your agent uses it
- Tasks that involve Building AI agents
Example prompts
- “/langchain-langgraph-coding-assistant”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- 需求分析
- 查找相关示例
- 代码实现
- 必要导入（重要）
- 代码说明
- 注意事项
What it can do on your machine
Read from SKILL.md and the folder at commit e563dd1. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (Python, from the files we listed), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Langchain Langgraph Coding Assistant loads about 1.8k tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 349 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 349 words (~1,763 tokens).
- name
- langchain-langgraph-coding-assistant
Files
SKILL.md and 293 other files in Skill/lang_chain&graphy_skill of 5zjk5/prompt-engineering.
- SKILL.md
- resources/MCP/调用本地工具/math_service.py
- resources/MCP/调用本地工具/use_tool_1.py
- resources/MCP/调用远程mcp服务/use_mcp_tool_1.py
- resources/MCP/调用远程mcp服务/use_mcp_tool_2.py
- resources/MCP/调用远程mcp服务/weather_server.py
- resources/RAG/demo.csv
- resources/RAG/demo.docx
- resources/RAG/demo.json
- resources/RAG/demo.jsonl
- resources/RAG/document_loaders.py
- resources/RAG/readme.md
- resources/RAG/splitters.py
- resources/RAG/vectorstores_retrievers.py
- resources/agent/ChatOpenAIModel_LangChian.py
- … and 279 more
Open the folder on GitHubat commit e563dd1
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in 5zjk5/prompt-engineering, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Langchain Langgraph Coding Assistant next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Langchain Langgraph Coding Assistant this skill5zjk5/prompt-engineering | 127 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Deepagents Setup Configurationsoba-labs/langchain-agent-skills | 107 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Langchain Agentslangchain-ai/skills-benchmarks | 118 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Langgraphdavila7/claude-code-templates | 32k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Langchain Architecturewshobson/agents | 40k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| AI Agent BuilderFerroxLabs/wayland | 608 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Langchain Langgraph Coding Assistant
What does Langchain Langgraph Coding Assistant do?
当用户需要编写LangChain或LangGraph相关代码时，提供基于示例代码的编码辅助，包括RAG、Agent、工作流、工具定义、中间件等多种功能模块的实现指导。. Langchain Langgraph Coding Assistant is an agent skill from 5zjk5/prompt-engineering.
When should I use Langchain Langgraph Coding Assistant?
Langchain Langgraph Coding Assistant fits situations like: tasks that involve Building AI agents.
How do I install Langchain Langgraph Coding Assistant in Claude Code?
Run `npx skills add 5zjk5/prompt-engineering --skill langchain-langgraph-coding-assistant -a claude-code`. Or copy the skill folder (Skill/lang_chain&graphy_skill in 5zjk5/prompt-engineering) into .claude/skills/langchain-langgraph-coding-assistant in your project. Claude Code loads it when a task matches its description.
How do I install Langchain Langgraph Coding Assistant in Codex?
Run `npx skills add 5zjk5/prompt-engineering --skill langchain-langgraph-coding-assistant -a codex`. Or copy the skill folder (Skill/lang_chain&graphy_skill in 5zjk5/prompt-engineering) into .agents/skills/langchain-langgraph-coding-assistant in your project. Codex loads it when a task matches its description.
Can I use Langchain Langgraph Coding Assistant in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add 5zjk5/prompt-engineering --skill langchain-langgraph-coding-assistant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/langchain-langgraph-coding-assistant, .gemini/skills/langchain-langgraph-coding-assistant, .github/skills/langchain-langgraph-coding-assistant and .opencode/skills/langchain-langgraph-coding-assistant in your project.
What does Langchain Langgraph Coding Assistant need to run?
Going by SKILL.md and its folder, Langchain Langgraph Coding Assistant needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Langchain Langgraph Coding Assistant access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Langchain Langgraph Coding Assistant safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Langchain Langgraph Coding Assistant use?
No licence was found for Langchain Langgraph Coding Assistant or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Langchain Langgraph Coding Assistant use?
About 1.8k tokens (SKILL.md is roughly 7.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Langchain Langgraph Coding Assistant?
Skills that share tags, products or a category with Langchain Langgraph Coding Assistant: Deepagents Setup Configuration (soba-labs/langchain-agent-skills, 107 stars), Langchain Agents (langchain-ai/skills-benchmarks, 118 stars), Langgraph (davila7/claude-code-templates, 32k stars) and Langchain Architecture (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Langchain Langgraph Coding Assistant?
5zjk5 (a GitHub user) maintains it in 5zjk5/prompt-engineering, which has 127 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 15, 2026.
Source: 5zjk5/prompt-engineering on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.