langsmith-dataset
Skill12 starsChanged 5 months agoNo licenceView on GitHub
Use this skill for ANY question about creating test or evaluation datasets for LangChain agents. Covers generating datasets from traces (final_response, single_step, trajectory, RAG types), uploading to LangSmith, and managing evaluation data.
- Reads credentials
- Installs packages
We split this skill into the rules it gives an agent
19 rules. 0 are common, 9 are distinctive, and 10 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
9
Distinctive
This author's own choices. Worth a look.
10
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- langchain-ai/design-agent★ 535same name
- langchain-ai/langsmith-skills★ 163same name
- langchain-ai/skills-benchmarks★ 116same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository50 other files it gives its agents.
- bezos-frameworksSkill
- clean-codeSkill
- clean-code-zhSkill
- codebase-to-courseSkill
- java-cola-skillSkill
- python-cola-skillSkill
- conventional-commitsSkill
- cynefinSkill
- daily-rhythmSkill
- dddSkill
- Deep Agents CoreSkill
- Deep Agents Memory & FilesystemSkill
- Deep Agents OrchestrationSkill
- echodecksSkill
- eisenhower-matrixSkill
- first-principlesSkill
- five-whysSkill
- Framework SelectionSkill
- getajobSkill
- github-trending-analyzerSkill
- inversionSkill
- json-canvasSkill
- langchain-agentsSkill
- LangChain DependenciesSkill
- LangChain FundamentalsSkill
- LangChain Middleware & HITLSkill
- LangChain RAG PipelineSkill
- LangGraph Execution ControlSkill
- LangGraph FundamentalsSkill
- LangGraph Persistence & MemorySkill
- langsmith-evaluatorSkill
- langsmith-traceSkill
- language-learningSkill
- moltbookSkill
- news-extractorSkill
- obsidian-basesSkill
- obsidian-markdownSkill
- ooda-loopSkill
- plan-my-daySkill
- planning-with-filesSkill
- prd-to-ai-agile-workflowSkill
- pre-mortemSkill
- resume-builderSkill
- resume-optimizerSkill
- second-order-thinkingSkill
- Self-Evolving SkillSkill
- smart-commitSkill
- study-habitsSkill
- ten-ten-tenSkill
- wrapSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.