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.
A production-ready Python AI Agent engine using LangChain. An agent skill from kennyzir/7deer_skills.
Install Python Agent Engine
$ npx skills add kennyzir/7deer_skills --skill python-agent-engine -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install kennyzir/7deer_skills python-agent-engine --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/kennyzir/7deer_skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/python-agent-engine .claude/skills/python-agent-engine && 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 "python-agent-engine" agent skill from https://github.com/kennyzir/7deer_skills/tree/main/python-agent-engine into .claude/skills/python-agent-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-agent-engine", 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/kennyzir/7deer_skills/tree/main/python-agent-engineType 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 kennyzir/7deer_skills --skill python-agent-engine -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install kennyzir/7deer_skills python-agent-engine --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kennyzir/7deer_skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/python-agent-engine .agents/skills/python-agent-engine && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "python-agent-engine" agent skill from https://github.com/kennyzir/7deer_skills/tree/main/python-agent-engine into .agents/skills/python-agent-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-agent-engine", 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 kennyzir/7deer_skills --skill python-agent-engine -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install kennyzir/7deer_skills python-agent-engine --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kennyzir/7deer_skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/python-agent-engine .cursor/skills/python-agent-engine && 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 "python-agent-engine" agent skill from https://github.com/kennyzir/7deer_skills/tree/main/python-agent-engine into .cursor/skills/python-agent-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-agent-engine", 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/kennyzir/7deer_skills.git --path python-agent-engine--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 kennyzir/7deer_skills --skill python-agent-engine -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install kennyzir/7deer_skills python-agent-engine --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kennyzir/7deer_skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/python-agent-engine .gemini/skills/python-agent-engine && 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 "python-agent-engine" agent skill from https://github.com/kennyzir/7deer_skills/tree/main/python-agent-engine into .gemini/skills/python-agent-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-agent-engine", 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 kennyzir/7deer_skills python-agent-engineInstalls 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 kennyzir/7deer_skills --skill python-agent-engine -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/kennyzir/7deer_skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/python-agent-engine .github/skills/python-agent-engine && 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 "python-agent-engine" agent skill from https://github.com/kennyzir/7deer_skills/tree/main/python-agent-engine into .github/skills/python-agent-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-agent-engine", 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 kennyzir/7deer_skills --skill python-agent-engine -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install kennyzir/7deer_skills python-agent-engine --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kennyzir/7deer_skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/python-agent-engine .opencode/skills/python-agent-engine && 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 "python-agent-engine" agent skill from https://github.com/kennyzir/7deer_skills/tree/main/python-agent-engine into .opencode/skills/python-agent-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-agent-engine", 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
python-agent-engine- GitHub stars
- 322
- Token cost
- ~423 tokens
- SKILL.md length
- 76 words
- Files
- 3
- Skills in repo
- 33
- Repo updated
- First seen
- Licence
- MIT
At a glance
A production-ready Python AI Agent engine using LangChain. An agent skill from kennyzir/7deer_skills.
- Works in 3 steps: Copy resources/agent_engine.py to your… → Install dependencies → Set Environment Variables in your .env…
- Tasks that involve Structured output and tool calling
- SKILL.md covers Features, Installation and Usage Example
- Runs Python scripts from its folder; calls pip; reaches api.openai.com; needs OPENAI_API_KEY
What it does
Python Agent Engine is an agent skill from kennyzir/7deer_skills. A production-ready Python AI Agent engine using LangChain. Supports ReAct pattern, tool calling, and thinking process tracking.
Its SKILL.md is about 420 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `resources/agent_engine.py`).
It sits in AI & LLM Engineering, covering Structured output and tool calling, React components and Building AI agents. It works with Python and LangChain. The repository describes itself as: Composable, auditable Agent Skills for building Roblox game sites—from opportunity and keyword research to content, SEO, updates, and backlinks. The licence is MIT.
When your agent uses it
- Tasks that involve Structured output and tool calling
- Tasks that involve React components
- Tasks that involve Building AI agents
Example prompts
- “/python-agent-engine”
Requirements
- Python 3
- A credential in OPENAI_API_KEY
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Copy resources/agent_engine.py to your project (e.g., src/core/agent_engine.py).
- Install dependencies
- Set Environment Variables in your .env file
What it can do on your machine
Read from SKILL.md and the folder at commit 32a6881. 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), which the agent can run.
Shell commands in SKILL.md call:
pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
api.openai.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
OPENAI_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Python Agent Engine loads about 423 tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 76 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:22
3. Set Environment Variables in your `.env` file:
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
The full file from kennyzir/7deer_skills at commit 32a6881, republished under its MIT licence (© kennyzir). 76 words, ~423 tokens.
Download SKILL.mdSave it as
.claude/skills/python-agent-engine/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- python-agent-engine
- description
- A production-ready Python AI Agent engine using LangChain. Supports ReAct pattern, tool calling, and thinking process tracking.
Python Agent Engine
A plug-and-play AI Agent core for Python applications. It handles the complexity of LLM interaction, tool calling loops, and context management.
Features
- ReAct Loop: Automatically handles "Reasoning -> Tool Call -> Result -> Answer" process.
- Thinking Process: Returns structured "Thinking Steps" for UI visualization.
- Model Agnostic: Works with OpenAI, DeepSeek, or any OpenAI-compatible API.
Installation
- Copy
resources/agent_engine.pyto your project (e.g.,src/core/agent_engine.py). - Install dependencies:
bash pip install langchain-core langchain-openai python-dotenv - Set Environment Variables in your
.envfile:ini OPENAI_API_KEY=sk-... # Optional: OPENAI_BASE_URL=https://api.openai.com/v1
Usage Example
import asyncio
from langchain_core.tools import tool
from core.agent_engine import AgentEngine
# 1. Define Tools
@tool
def calculator(expression: str) -> str:
"""Calculates a math expression."""
return str(eval(expression))
# 2. Initialize Agent
agent = AgentEngine(
tools=[calculator],
system_prompt="You are a helpful math assistant.",
model_name="gpt-4o"
)
# 3. Chat
async def main():
response = await agent.chat("What is 123 * 456?")
print(f"Answer: {response.content}")
print("\nThinking Steps:")
for step in response.thinking_steps:
print(f"[{step.type}] {step.content}")
if __name__ == "__main__":
asyncio.run(main())© kennyzir, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files in python-agent-engine of kennyzir/7deer_skills.
- SKILL.md
- resources/agent_engine.py
- resources/requirements.txt
Open the folder on GitHubat commit 32a6881
Compare with similar skills
Python Agent Engine 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 |
|---|---|---|---|---|---|---|
| Python Agent Engine this skillkennyzir/7deer_skills | 322 | — | ~423 | Automated safety check: Notes | MIT | |
| LangGraph Decision Modelslangchain-ai/langchain-skills | 1.3k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Tool Designagentailor/fullstack-langgraph-nextjs-agent | 132 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Langchain Middlewarelangchain-ai/langchain-skills | 1.3k | 1 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Pixeltablehashgraph-online/awesome-codex-plugins | 1.2k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| Routerbase API Integrationaiskillstore/marketplace | 430 | — | ~964 | Automated safety check: Pass | None |
Similar skills
- Official
Tool Design
agentailor/fullstack-langgraph-nextjs-agent
Design and verify tools that AI agents can actually use — for any framework or language (MCP servers, LangChain/LangGraph, function-calling, raw JSON schema; TypeScript, Python, or otherwise).
- Official
Langchain Middleware
langchain-ai/langchain-skills
INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output.
Pixeltable
hashgraph-online/awesome-codex-plugins
Build multimodal AI apps with Pixeltable. An agent skill from hashgraph-online/awesome-codex-plugins.
Routerbase API Integration
aiskillstore/marketplace
Integrate applications with RouterBase, the OpenAI-compatible model gateway at https://routerbase.com/v1.
- Official
AI SDK
vercel-labs/ai-facts
Answer questions about the AI SDK and help build AI-powered features.
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Related
Categories
Questions about Python Agent Engine
What does Python Agent Engine do?
A production-ready Python AI Agent engine using LangChain. An agent skill from kennyzir/7deer_skills. Python Agent Engine is an agent skill from kennyzir/7deer_skills. A production-ready Python AI Agent engine using LangChain.
When should I use Python Agent Engine?
Python Agent Engine fits situations like: tasks that involve Structured output and tool calling; tasks that involve React components; tasks that involve Building AI agents.
How do I install Python Agent Engine in Claude Code?
Run `npx skills add kennyzir/7deer_skills --skill python-agent-engine -a claude-code`. Or copy the skill folder (python-agent-engine in kennyzir/7deer_skills) into .claude/skills/python-agent-engine in your project. Claude Code loads it when a task matches its description.
How do I install Python Agent Engine in Codex?
Run `npx skills add kennyzir/7deer_skills --skill python-agent-engine -a codex`. Or copy the skill folder (python-agent-engine in kennyzir/7deer_skills) into .agents/skills/python-agent-engine in your project. Codex loads it when a task matches its description.
Can I use Python Agent Engine 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 kennyzir/7deer_skills --skill python-agent-engine -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/python-agent-engine, .gemini/skills/python-agent-engine, .github/skills/python-agent-engine and .opencode/skills/python-agent-engine in your project.
What does Python Agent Engine need to run?
Going by SKILL.md and its folder, Python Agent Engine needs Python for the scripts in its folder, the command-line tools its instructions call (pip) and credentials named OPENAI_API_KEY. Our summary lists: Python 3; A credential in OPENAI_API_KEY.
Does Python Agent Engine access the network?
SKILL.md names 1 domain. In commands or code: api.openai.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Python Agent Engine safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Python Agent Engine use?
Python Agent Engine is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Python Agent Engine use?
About 423 tokens (SKILL.md is roughly 1.7k 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 Python Agent Engine?
Skills that share tags, products or a category with Python Agent Engine: LangGraph Decision Models (langchain-ai/langchain-skills, 1.3k stars), Tool Design (agentailor/fullstack-langgraph-nextjs-agent, 132 stars), Langchain Middleware (langchain-ai/langchain-skills, 1.3k stars) and Pixeltable (hashgraph-online/awesome-codex-plugins, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Python Agent Engine?
kennyzir (a GitHub user) maintains it in kennyzir/7deer_skills, which has 322 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on September 29, 2026.
Source: kennyzir/7deer_skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.