langchain-chains
LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns
npx skills add a5c-ai/babysitter --skill langchain-chains --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LangChain Chains Skill ## Capabilities - Compose LangChain chains using LCEL (LangChain Expression Language) - Implement sequential chain patterns - Design router chains for conditional logic - Create parallel execution chains - Handle chain fallbacks and retries - Implement streaming chains ## Target Processes - dialogue-flow-design - chatbot-design-implementation ## Implementation Details ### Chain Patterns 1. **LCEL Pipelines**: Modern composition with | operator 2. **SequentialChain**: Linear chain execution (legacy) 3. **RouterChain**: Conditional routing based on input 4. **RunnableParallel**: Parallel execution branches 5. **RunnableBranch**: Conditional branching ### Configuration Options - Input/output key mapping - Error handling strategies - Retry configuration - Streaming settings - Batch processing options ### Best Practices - Use LCEL for new implementations - Implement proper input/output schemas - Add fallback chains for resilience - Use streaming for long operations ### Dependencies - langchain-core - langchain
- Capabilities
- Target Processes
- Implementation Details
- Chain Patterns
- Configuration Options
- Best Practices
- Dependencies
What does the langchain-chains skill do?
LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill langchain-chains --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.