GitHub organization
Agent skills by langchain-ai, page 2
Skills #49–53 of 53, ranked by score.
Skills by langchain-ai, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | Check that a code sample, API signature, default, or behavior claim in the docs is actually true, by running it or reading the product source. | langchain-ai/ | 425 | — | ~1.6k | Automated safety check: Pass | MIT | today |
| 50 | Best practices for Docker containerization and multi-stage builds | langchain-ai/ | 118 | — | ~289 | Automated safety check: Pass | MIT | 17 days ago |
| 51 | Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. | langchain-ai/ | 425 | — | ~282 | Automated safety check: Pass | MIT | today |
| 52 | A skill your agent uses when the user wants the current date and time written to a file via the bundled script inside the sandbox. | langchain-ai/ | 425 | — | ~121 | Automated safety check: Pass | MIT | today |
| 53 | Common pandas and matplotlib patterns for data analysis and visualization | langchain-ai/ | 425 | — | ~117 | Automated safety check: Pass | MIT | today |