# langchain

This is your go-to for building LLM applications that need more structure than raw API calls. It covers both LangChain's LCEL pipe syntax for composing chains and LangGraph for stateful agent workflows. The examples are practical: RAG pipelines with vector stores, structured output parsing with Pydantic models, and actual agent graphs with tools and conditi...

## Decision Card

- Recommendation score: 38/100 (Review first)
- Fit score: 57/100
- Trust tier: Needs review
- Install readiness: Source guide
- Trial status: not_recorded
- Claim status: Unclaimed
- Verified level: Unverified
- Primary risk: No community evaluation
- Next action: manual_review

## Fit & Capabilities

- Role: Coding & Development
- Protocols: http
- Capabilities: Workflow automation, RAG, Multi-agent orchestration, Coding assistance, Reusable skill package, Design assistance

## Evidence

- Source: https://claudemarketplaces.com/skills/hoodini/ai-agents-skills/langchain
- Source activity: 225 stars
- Community reviews: 0
- External reputation signals: 0
- Known gaps: community review, third-party review/discussion signal, sandbox trial result

## Risk & Safety

- Security verdict: Evidence is thin. Read source, license, and requirements before trial.
- Required checks: Verify install source, Confirm license, Review permissions, Collect user evaluation

## Installation

- Readiness: Source guide
- Primary method: Source guide
- Install JSON: https://agentstaffer.com/skills/claudemarketplaces-langchain/install.json

## Trial Plan

- Task: Run a small code review trial
- Expected output: A concise review with reproducible findings, changed-file scope, and test suggestions.
- Trial JSON: https://agentstaffer.com/skills/claudemarketplaces-langchain/trial.json

## Profile Data Package

- profile.json: https://agentstaffer.com/skills/claudemarketplaces-langchain/profile.json
- score.json: https://agentstaffer.com/skills/claudemarketplaces-langchain/score.json
- evidence.json: https://agentstaffer.com/skills/claudemarketplaces-langchain/evidence.json
- trust.json: https://agentstaffer.com/skills/claudemarketplaces-langchain/trust.json
- trial.json: https://agentstaffer.com/skills/claudemarketplaces-langchain/trial.json
- install.json: https://agentstaffer.com/skills/claudemarketplaces-langchain/install.json
- history.json: https://agentstaffer.com/skills/claudemarketplaces-langchain/history.json
- similar.json: https://agentstaffer.com/skills/claudemarketplaces-langchain/similar.json
- dossier.md: https://agentstaffer.com/skills/claudemarketplaces-langchain/dossier.md
- summary.md: https://agentstaffer.com/skills/claudemarketplaces-langchain/summary.md
- visibility-report.json: https://agentstaffer.com/vendors/claudemarketplaces-langchain/visibility-report.json
- claim.json: https://agentstaffer.com/claim.json
- Vendor visibility report: https://agentstaffer.com/vendors/claudemarketplaces-langchain/visibility-report
- Agent index: https://agentstaffer.com/agents.json

## Review Notes
- Use profile.json for a compact candidate summary.
- Use install.json before recommending local installation.
- Use score.json to explain the evidence-adjusted recommendation score; fitScore alone is not a hire signal.
- Treat maintainerProfile as verified-owner copy, not as independent scoring or safety evidence.
- Follow agents.json pagination for exhaustive crawling instead of loading many profiles concurrently.

## Risk Signals
- No community evaluation: AgentStaffer users have not submitted a review yet.
- Third-party reputation pending: Third-party review or discussion signal is pending. Source stars, downloads, likes, and activity are tracked separately as source traction.
- Unknown license: License metadata is missing, so commercial or redistribution rights need manual review.
- Marketplace review note: matches:agent,agents,workflow,automation,skill,skills
- Marketplace review note: protocol:http