mastering-langgraph
Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents with LLM-tool loops, branching workflows, conversation memory, human-in-the-loop oversight, and production monitoring. Use when - (1) building agents that use tools and loop until task complete, (2) creating multi-step workflows with conditional branches, (3) adding persistence/memory across turns with checkpointers, (4) implementing human approval with interrupt(), (5) debugging via time-travel or LangSmith. Covers StateGraph, nodes, edges, add_conditional_edges, MessagesState, thread_id, Command objects, and ToolMessage handling. Examples include chatbots, calculator agents, and structured workflows.
Security AStatic scan found no risk patternsHow grading works ›
From the source SKILL.md
Build stateful AI agents and workflows by defining graphs of nodes (steps) connected by edges (transitions).
What this skill does
mastering-langgraph is a community-contributed Claude Code skill in the audio-podcast sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/langgraph-agent-skill/ and loads when your prompt matches the skill's trigger.
When to invoke it: Use when - (1) building agents that use tools and loop until task complete, (2) creating multi-step workflows with conditional branches, (3) adding persistence/memory across turns with checkpointers, (4) implementing human approval with interrupt(), (5) debugging via time-travel or LangSmith. Covers StateGraph, nodes, edges, add_conditional_edges, MessagesState, thread_id, Command objects, and ToolMessage handling.
Who uses this skill
The mastering-langgraph Claude Code skill is built for content creators, marketers, copywriters, SEO professionals, and editorial teams. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 191,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
How to install
Free
Manual install (2 steps)
mkdir -p ~/.claude/skills/langgraph-agent-skill
curl -L https://claudskills.com/skills/langgraph-agent-skill/SKILL.md \
-o ~/.claude/skills/langgraph-agent-skill/SKILL.md
Or just download SKILL.md directly and drop it into ~/.claude/skills/langgraph-agent-skill/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/langgraph-agent-skill/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\langgraph-agent-skill\SKILL.md on Windows. See the full install guide for step-by-step instructions.
Telegram
📱 Install from your phone or desktop Telegram
Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
Pro
One-click install via the desktop app
The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.
Pro
For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.
Frequently asked questions
How do I install the mastering-langgraph Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy
SKILL.md from the source repository to
~/.claude/skills/langgraph-agent-skill/SKILL.md and restart Claude Code. Both flows are detailed at
claudskills.com/install/.
What does the mastering-langgraph skill do?
Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents with LLM-tool loops, branching workflows, conversation memory, human-in-the-loop oversight, and production monitoring. Use when - (1) building agents that use tools and loop until task complete, (2) creating multi-step workflows with conditional branches, (3) adding persistence/memory across turns with checkpointers, (4) implementing human approval with interrupt(), (5) debugging via time-travel or LangSmith. Covers StateGraph, nodes, edges, add_conditional_edges, MessagesState, thread_id, Command objects, and ToolMessage handling. Examples include chatbots, calculator agents, and structured workflows.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the mastering-langgraph skill?
Use mastering-langgraph when your Claude Code task falls under the Content category — specifically in the audio podcast area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use mastering-langgraph" or describe the task and let Claude pick). Browse related skills at
/category/content/.
What is a Claude Code skill and how does the mastering-langgraph skill fit in?
A Claude Code skill is a
SKILL.md file that lives under
~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. mastering-langgraph is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Content category. Learn more at
/learn/what-is-a-claude-skill/.
Attribution & license
Cite this skill
If you reference this skill in a blog post, paper, or documentation, you can cite it as:
APA
majiayu000. (2026). mastering-langgraph [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/langgraph-agent-skill/
BibTeX
@misc{langgraph-agent-skill-2026,
author = {majiayu000},
title = {mastering-langgraph [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/langgraph-agent-skill/}
}
Embed this skill
Promote, attribute, or link this skill from your own README, blog post, or documentation. All three snippets are free to use — no sign-up, no API key. More distribution surfaces →
Badge
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Security scan
Grade A · scanned 2026-08-25 — free static scan against the OWASP Agentic Skills Top 10.
No risk patterns were found in any of the ten OWASP-aligned categories. How grading works ›
- ✓ Prompt injection
- ✓ Data exfiltration
- ✓ Supply chain
- ✓ Reverse shell
- ✓ Credentials
- ✓ Execution
- ✓ Filesystem
- ✓ Persistence
- ✓ Obfuscation
- ✓ Network
Show this grade on your repo (click to copy):
[](https://claudskills.com/skills/langgraph-agent-skill/#security)
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