LangGraph Decision Models
langchain-ai/langchain-skills
Routes LangGraph agents with typed decision models that return probabilities, and finds LLM calls that only exist to produce a routing decision.
Initialize, validate, and troubleshoot Deep Agents projects in Python or JavaScript using the deepagents package.
$ npx skills add soba-labs/langchain-agent-skills --skill deepagents-setup-configuration -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install soba-labs/langchain-agent-skills deepagents-setup-configuration --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/soba-labs/langchain-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/deepagents-setup-configuration .claude/skills/deepagents-setup-configuration && 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 "deepagents-setup-configuration" agent skill from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/deepagents-setup-configuration into .claude/skills/deepagents-setup-configuration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepagents-setup-configuration", 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/soba-labs/langchain-agent-skills/tree/main/skills/deepagents-setup-configurationType 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 soba-labs/langchain-agent-skills --skill deepagents-setup-configuration -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install soba-labs/langchain-agent-skills deepagents-setup-configuration --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/soba-labs/langchain-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/deepagents-setup-configuration .agents/skills/deepagents-setup-configuration && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deepagents-setup-configuration" agent skill from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/deepagents-setup-configuration into .agents/skills/deepagents-setup-configuration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepagents-setup-configuration", 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 soba-labs/langchain-agent-skills --skill deepagents-setup-configuration -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install soba-labs/langchain-agent-skills deepagents-setup-configuration --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/soba-labs/langchain-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/deepagents-setup-configuration .cursor/skills/deepagents-setup-configuration && 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 "deepagents-setup-configuration" agent skill from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/deepagents-setup-configuration into .cursor/skills/deepagents-setup-configuration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepagents-setup-configuration", 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/soba-labs/langchain-agent-skills.git --path skills/deepagents-setup-configuration--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 soba-labs/langchain-agent-skills --skill deepagents-setup-configuration -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install soba-labs/langchain-agent-skills deepagents-setup-configuration --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/soba-labs/langchain-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/deepagents-setup-configuration .gemini/skills/deepagents-setup-configuration && 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 "deepagents-setup-configuration" agent skill from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/deepagents-setup-configuration into .gemini/skills/deepagents-setup-configuration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepagents-setup-configuration", 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 soba-labs/langchain-agent-skills deepagents-setup-configurationInstalls 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 soba-labs/langchain-agent-skills --skill deepagents-setup-configuration -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/soba-labs/langchain-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/deepagents-setup-configuration .github/skills/deepagents-setup-configuration && 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 "deepagents-setup-configuration" agent skill from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/deepagents-setup-configuration into .github/skills/deepagents-setup-configuration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepagents-setup-configuration", 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 soba-labs/langchain-agent-skills --skill deepagents-setup-configuration -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install soba-labs/langchain-agent-skills deepagents-setup-configuration --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/soba-labs/langchain-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/deepagents-setup-configuration .opencode/skills/deepagents-setup-configuration && 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 "deepagents-setup-configuration" agent skill from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/deepagents-setup-configuration into .opencode/skills/deepagents-setup-configuration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepagents-setup-configuration", 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.
deepagents-setup-configurationInitialize, validate, and troubleshoot Deep Agents projects in Python or JavaScript using the deepagents package.
Deepagents Setup Configuration is an agent skill from soba-labs/langchain-agent-skills. Initialize, validate, and troubleshoot Deep Agents projects in Python or JavaScript using the deepagents package. Use when users need to create agents with built-in planning/filesystem/subagents, configure middleware/backends/checkpointing/HITL, migrate from createreactagent or createagent, scaffold projects with repo scripts, validate agent config files, and confirm compatibility with current LangChain/LangGraph/LangSmith docs.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including scripts, reference files and assets (for example `assets/examples/basic-deep-agent/README.md`, `assets/examples/basic-deep-agent/agent.py` and `assets/templates/deep-agent-simple/README.md`).
It sits in AI & LLM Engineering, covering Building AI agents. It works with Python, LangChain, LangGraph and React. The repository describes itself as: A collection of agent-optimized LangChain, LangGraph and LangSmith skills for AI coding assistants. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit a2d4a10. It shows what the files ask for, not the result of running them.
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.
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
docs.langchain.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Deepagents Setup Configuration loads about 1.9k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 118 tokens; SKILL.md has 548 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.
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); the scripts in this folder are not scanned.
The full file from soba-labs/langchain-agent-skills at commit a2d4a10, republished under its MIT licence (© soba-labs). 548 words, ~1,884 tokens.
.claude/skills/deepagents-setup-configuration/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.Deep Agents are an agent harness on top of LangChain + LangGraph with built-in planning, filesystem context management, and subagent delegation.
write_todos), or long-term memory patterns.create_react_agent flows.agent.py / agent.js / agent.ts config.scripts/init_deep_agent_project.py: scaffolds Python/JS projects with templates.scripts/validate_deep_agent_config.py: static checks for Deep Agent config quality.references/deep-agents-reference.md: detailed API, middleware, backends, migration, troubleshooting.assets/templates/deep-agent-simple/: minimal Python starter template.assets/examples/basic-deep-agent/: richer Python example.init_deep_agent_project.py (Python or JS).validate_deep_agent_config.py.references/deep-agents-reference.md for advanced configuration.| Need | Deep Agents | LangChain create_agent | LangGraph |
|---|---|---|---|
| Built-in planning/filesystem/subagents | ✅ Best fit | ⚠️ Manual middleware setup | ❌ Manual graph design |
| Fast path for complex multi-step tasks | ✅ | ⚠️ | ⚠️ |
| Fully custom graph topology | ❌ | ❌ | ✅ Best fit |
| Minimal/simple agent (1-3 steps) | ⚠️ Overhead | ✅ Best fit | ⚠️ |
Use repo-local scripts and prefer uv run.
# Python simple template
uv run skills/deepagents-setup-configuration/scripts/init_deep_agent_project.py my-agent --language python --template simple --path skills/
# Python with subagents
uv run skills/deepagents-setup-configuration/scripts/init_deep_agent_project.py my-agent --language python --template with-subagents --path skills/
# Python CLI-config template (memory/checkpointer toggles)
uv run skills/deepagents-setup-configuration/scripts/init_deep_agent_project.py my-agent --language python --template cli-config --path skills/
# JavaScript template
uv run skills/deepagents-setup-configuration/scripts/init_deep_agent_project.py my-agent --language javascript --template simple --path skills/Templates currently supported by the script:
simplewith-subagentscli-configGenerated outputs include:
agent.py or agent.jstools/example_tools.py or tools/example_tools.js.env.exampleREADME.md.gitignorepyproject.toml (Python) or package.json (JavaScript)Run static validation before shipping examples/templates:
uv run skills/deepagents-setup-configuration/scripts/validate_deep_agent_config.py path/to/agent.py
uv run skills/deepagents-setup-configuration/scripts/validate_deep_agent_config.py path/to/agent.js
uv run skills/deepagents-setup-configuration/scripts/validate_deep_agent_config.py path/to/agent.tsValidator behavior:
create_deep_agent(**kwargs), createDeepAgent(config)), with warning that some static checks are skipped.interrupt_on / interruptOn should be mapping/object, and requires checkpointer.Default middleware includes:
TodoListMiddlewareFilesystemMiddlewareSubAgentMiddlewareSummarizationMiddlewareAnthropicPromptCachingMiddlewarePatchToolCallsMiddlewareConditionally added middleware:
MemoryMiddleware when memory is setSkillsMiddleware when skills is setHumanInTheLoopMiddleware when interrupt_on / interruptOn is setagent = create_deep_agent(
model="anthropic:claude-sonnet-4-5-20250929", # string or model object
tools=[...],
system_prompt="...",
subagents=[...], # optional delegation specialists
middleware=[...], # optional custom middleware
store=store, # needed for StoreBackend patterns
backend=backend_factory, # State/Store/Filesystem/Composite
checkpointer=checkpointer # required for HITL interrupts
)Backend guidance:
StateBackend (default): thread-scoped, ephemeral.StoreBackend: persistent files via LangGraph store (requires store=).CompositeBackend: route prefixes (common /memories/ -> StoreBackend).FilesystemBackend: direct disk access; use carefully, prefer virtual_mode=True with root_dir.If using human approval interrupts:
interrupt_on={...}interruptOn={...}InMemorySaver, MemorySaver, Sqlite/Postgres saver, etc.)langgraph.prebuilt.create_react_agent is deprecated in LangGraph v1.langchain.agents.create_agent.deepagents.create_deep_agent / createDeepAgent.deepagents is currently a pre-1.0 package, so minor-version upgrades may include API changes.deepagents versions.Before publishing this skill:
.env.example must stay placeholder-only).__pycache__/ and *.pyc from skill folders.agent.py / agent.js templates.StoreBackend route + store= wiring.create_agent or plain LangGraph.references/deep-agents-reference.md for detailed API and migration patterns.assets/templates/deep-agent-simple/ for minimal template files.assets/examples/basic-deep-agent/ for a fuller runnable example.© soba-labs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 10 other files (scripts, references, assets) in skills/deepagents-setup-configuration of soba-labs/langchain-agent-skills.
Open the folder on GitHubat commit a2d4a10
Deepagents Setup Configuration 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 |
|---|---|---|---|---|---|---|
| Deepagents Setup Configuration this skillsoba-labs/langchain-agent-skills | 107 | — | ~1.9k | Automated safety check: Pass | MIT | |
| LangGraph Decision Modelslangchain-ai/langchain-skills | 1.3k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Langchain Dependencieslangchain-ai/langchain-skills | 1.3k | 1 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Langgraph Python Quickstartlangchain-ai/langchain-skills | 1.3k | — | ~454 | Automated safety check: Notes | MIT | |
| LangSmith Trace DebuggingComposioHQ/awesome-claude-skills | 77k | 9 repos | ~2.7k | Automated safety check: Pass | None | |
| Add Example AgentGetBindu/Bindu | 10k | — | ~1.1k | Automated safety check: Notes | Custom licence |
langchain-ai/langchain-skills
Routes LangGraph agents with typed decision models that return probabilities, and finds LLM calls that only exist to produce a routing decision.
langchain-ai/langchain-skills
INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents.
langchain-ai/langchain-skills
Scaffold a minimal local LangGraph agent in Python by following the official quickstart.
ComposioHQ/awesome-claude-skills
Debugs LangChain and LangGraph agents by pulling recent execution traces with the langsmith-fetch CLI and reporting errors, tool calls, timings and token use.
GetBindu/Bindu
Add a new self-contained example agent under examples/. An agent skill from GetBindu/Bindu.
FailproofAI/failproofai
Helps instrument a custom Python or TypeScript agent to record events for Failproof AI, verify what gets written, and run an evaluator worker that scores the runs.
soba-labs/langchain-agent-skills
Use the writetodos tool effectively for task planning and decomposition in Deep Agents.
soba-labs/langchain-agent-skills
Implement multi-agent coordination patterns (supervisor-subagent, router, orchestrator-worker, handoffs) for LangGraph applications.
soba-labs/langchain-agent-skills
Implement LangGraph error handling with current v1 patterns.
soba-labs/langchain-agent-skills
Initialize and configure LangGraph projects with proper structure, langgraph.json configuration, environment variables, and dependency management.
soba-labs/langchain-agent-skills
Design state schemas, implement reducers, configure persistence, and debug state issues for LangGraph applications.
soba-labs/langchain-agent-skills
A skill your agent uses when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory…
Categories
Initialize, validate, and troubleshoot Deep Agents projects in Python or JavaScript using the deepagents package. Deepagents Setup Configuration is an agent skill from soba-labs/langchain-agent-skills. Initialize, validate, and troubleshoot Deep Agents projects in Python or JavaScript using the deepagents package.
Deepagents Setup Configuration fits situations like: users need to create agents with built-in planning/filesystem/subagents; configure middleware/backends/checkpointing/HITL; migrate from createreactagent; scaffold projects with repo scripts.
Run `npx skills add soba-labs/langchain-agent-skills --skill deepagents-setup-configuration -a claude-code`. Or copy the skill folder (skills/deepagents-setup-configuration in soba-labs/langchain-agent-skills) into .claude/skills/deepagents-setup-configuration in your project. Claude Code loads it when a task matches its description.
Run `npx skills add soba-labs/langchain-agent-skills --skill deepagents-setup-configuration -a codex`. Or copy the skill folder (skills/deepagents-setup-configuration in soba-labs/langchain-agent-skills) into .agents/skills/deepagents-setup-configuration in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add soba-labs/langchain-agent-skills --skill deepagents-setup-configuration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deepagents-setup-configuration, .gemini/skills/deepagents-setup-configuration, .github/skills/deepagents-setup-configuration and .opencode/skills/deepagents-setup-configuration in your project.
Going by SKILL.md and its folder, Deepagents Setup Configuration needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.
SKILL.md names 1 domain. As links in the text: docs.langchain.com. This is read from the text; nothing was executed.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Deepagents Setup Configuration is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Deepagents Setup Configuration: LangGraph Decision Models (langchain-ai/langchain-skills, 1.3k stars), Langchain Dependencies (langchain-ai/langchain-skills, 1.3k stars), Langgraph Python Quickstart (langchain-ai/langchain-skills, 1.3k stars) and LangSmith Trace Debugging (ComposioHQ/awesome-claude-skills, 77k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
soba-labs (a GitHub organization) maintains it in soba-labs/langchain-agent-skills, which has 107 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on August 17, 2026.
Source: soba-labs/langchain-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.