langchain-middleware
Skill1 starsChanged 2 months agoNo licenceView on GitHub
当需要人机协同（HITL）审批、自定义中间件或结构化输出时调用此技能。涵盖用于危险工具调用人工审批的 HumanInTheLoopMiddleware、使用 Hook 创建自定义中间件、Command 恢复模式以及使用 Pydantic/Zod 的结构化输出。
6 other projects use a version of this, 5 of them edited.
Adopted by
Most recently taken up by
- langchain-ai/langchain-skillsedited, first seen Oct 13, 2026
- willlee1995/skillsedited, first seen Oct 13, 2026
- gerald-donkor/poli-inteledited, first seen Oct 11, 2026
- buduan/soul-graphedited, first seen Jun 7, 2026
- HarambeeAI/bayes-shiptheir own version, first seen Apr 15, 2026
- langchain-ai/skills-benchmarksedited, first seen Mar 2, 2026
Other versions6 projects use a version of this.
Word for word · 0
None found.
Edited · 5
- langchain-ai/langchain-skills★ 1.3k48% same
- langchain-ai/skills-benchmarks★ 11648% same
- buduan/soul-graph★ 248% same
- gerald-donkor/poli-intel★ 148% same
- willlee1995/skills★ 148% same
Wrote their own version · 1
- HarambeeAI/bayes-ship★ 1same 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 repository40 other files it gives its agents.
- code-reviewSkill
- deep-agents-coreSkill
- deep-agents-memorySkill
- deep-agents-orchestrationSkill
- deepagents-python-quickstartSkill
- deepagents-typescript-quickstartSkill
- diagnosing-bugsSkill
- domain-modelingSkill
- ecosystem-primerSkill
- eval-engineeringSkill
- git-guardrails-claude-codeSkill
- grillingSkill
- grill-meSkill
- grill-with-docsSkill
- langchain-dependenciesSkill
- langchain-fundamentalsSkill
- langchain-python-quickstartSkill
- langchain-ragSkill
- langchain-typescript-quickstartSkill
- langgraph-cliSkill
- langgraph-fundamentalsSkill
- langgraph-human-in-the-loopSkill
- langgraph-persistenceSkill
- langgraph-python-quickstartSkill
- langgraph-typescript-quickstartSkill
- langsmith-online-eval-engineeringSkill
- managed-deep-agentsSkill
- obsidian-vaultSkill
- openspec-apply-changeSkill
- openspec-archive-changeSkill
- openspec-exploreSkill
- openspec-proposeSkill
- openspecSkill
- openspec-sync-specsSkill
- prototypeSkill
- researchSkill
- resolving-merge-conflictsSkill
- reviewSkill
- tddSkill
- wizardSkill
The file
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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.