LangSmith Fetch

by ECNU-ICALK

LangSmith Fetch is an AI Engineering skill for Claude Code, published by ECNU-ICALK in AutoSkill.

564 stars53 forkson ECNU-ICALK/AutoSkillAdded 2026/08/25+1% in starsRepository updated 2026/05/10

View source on GitHub Download repo ZIP

agent-skillscontinual-learningexperience-driven-lifelong-learningself-evolving

Install in seconds

Install LangSmith Fetch

Copy LangSmith Fetch into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/ECNU-ICALK/AutoSkill/tree/main/SkillBank/Common/AwesomeClaudeSkills/langsmith-fetch ~/.claude/skills/langsmith-fetch

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/ECNU-ICALK/AutoSkill.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: SkillBank/Common/AwesomeClaudeSkills/langsmith-fetch/SKILL.md in ECNU-ICALK/AutoSkill
Installs to: ~/.claude/skills/langsmith-fetch
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What LangSmith Fetch does

LangSmith Fetch debugs LangChain and LangGraph agents by fetching execution traces from LangSmith. Use it to inspect errors, tool calls, memory operations, and recent performance issues.

LangSmith Fetch is cataloged under AI Engineering on DirSkills. LangSmith Fetch comes from a repository tagged agent-skills, continual-learning, experience-driven-lifelong-learning and self-evolving.

Documentation

README

Excerpt

LangSmith Fetch - Agent Debugging Skill

Debug LangChain and LangGraph agents by fetching execution traces directly from LangSmith Studio in your terminal.

When to Use This Skill

Automatically activate when user mentions:

🐛 "Debug my agent" or "What went wrong?"
🔍 "Show me recent traces" or "What happened?"
❌ "Check for errors" or "Why did it fail?"
💾 "Analyze memory operations" or "Check LTM"
📊 "Review agent performance" or "Check token usage"
🔧 "What tools were called?" or "Show execution flow"

Prerequisites

1. Install langsmith-fetch

pip install langsmith-fetch

2. Set Environment Variables

export LANGSMITH_API_KEY="your_langsmith_api_key"
export LANGSMITH_PROJECT="your_project_name"

This is the opening of the README. Read the full README on GitHub.

Frequently asked about LangSmith Fetch

What else does ECNU-ICALK publish alongside LangSmith Fetch?
LangSmith Fetch is one of 25 skills that DirSkills catalogs from ECNU-ICALK/AutoSkill, the repository it ships in. Its siblings there include Anthropic Brand Styling, Artifacts Builder and AutoSkill. Each one is a separate skill with its own page in this directory, installs the same way LangSmith Fetch does, and is maintained by ECNU-ICALK in that same repository. The rest of the collection is listed on the ECNU-ICALK/AutoSkill page.
How does LangSmith Fetch compare to other AI Engineering skills?
LangSmith Fetch ranks #2019 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of LangSmith Fetch against them. Open each page to compare what they document and how they install.