langchain-core-workflow-b
Build LangChain agents with tools for autonomous task execution. Use when creating AI agents, implementing tool calling, or building autonomous workflows with decision-making. Trigger with phrases like "langchain agents", "langchain tools", "tool calling", "langchain autonomous", "create agent", "function calling".
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill langchain-core-workflow-b81
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npx tessl skill review --optimize ./path/to/skillValidation for skill structure
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a well-structured skill description with strong trigger term coverage and clear completeness. The main weakness is the specificity of capabilities - it describes the general purpose but could benefit from listing more concrete actions like defining tools, configuring agent types, or handling agent memory.
Suggestions
Add 2-3 more specific concrete actions such as 'define custom tools', 'configure ReAct or OpenAI agents', 'implement agent memory and callbacks' to improve specificity
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (LangChain agents) and some actions ('Build agents with tools', 'autonomous task execution'), but lacks comprehensive specific actions like 'define custom tools', 'configure agent memory', or 'chain multiple agents'. | 2 / 3 |
Completeness | Clearly answers both what ('Build LangChain agents with tools for autonomous task execution') and when ('Use when creating AI agents, implementing tool calling, or building autonomous workflows') with explicit trigger phrases listed. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger terms including 'langchain agents', 'langchain tools', 'tool calling', 'create agent', 'function calling', and 'autonomous workflows' - these are terms users would naturally use when needing this skill. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with LangChain-specific terminology and clear niche focus on agents and tool calling. The explicit 'langchain' prefix on triggers minimizes conflict with generic AI or automation skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides solid, actionable code examples for building LangChain agents with good structure and progressive disclosure. The main weaknesses are some unnecessary explanatory content (prerequisites, output descriptions) and missing validation steps for verifying tool and agent setup before full execution.
Suggestions
Remove the Prerequisites and Output sections - Claude knows these concepts and can infer outputs from the code
Add validation checkpoints: test individual tools before agent integration, verify tool binding with `agent.tools`, and include a simple smoke test pattern
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Generally efficient with good code examples, but includes some unnecessary elements like the prerequisites section explaining concepts Claude knows, and the 'Output' section describing what the code produces which is self-evident from the code itself. | 2 / 3 |
Actionability | Provides fully executable, copy-paste ready code examples with proper imports, typed tool definitions using Pydantic, complete agent setup, and multiple invocation patterns including streaming and memory integration. | 3 / 3 |
Workflow Clarity | Steps are clearly numbered and sequenced (Define Tools → Create Agent → Run → Stream), but lacks validation checkpoints. No guidance on verifying tool registration worked, testing tools individually before agent integration, or handling agent failures during development. | 2 / 3 |
Progressive Disclosure | Well-structured with clear sections: core workflow in main steps, advanced patterns separated, error handling in a table, and external resources linked. References are one level deep and clearly signaled. | 3 / 3 |
Total | 10 / 12 Passed |
Validation
75%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 12 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
metadata_version | 'metadata' field is not a dictionary | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
body_steps | No step-by-step structure detected (no ordered list); consider adding a simple workflow | Warning |
Total | 12 / 16 Passed | |
- Reviewed
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