Annotation-based and programmatic tool system for LangChain4j agents to execute external functions, APIs, and services.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add giuseppe-trisciuoglio/developer-kit --skill langchain4j-tool-function-calling-patternsCompatible with
Supported agents
Define tools using @Tool annotations with parameter descriptions via @P , automatically registered with AI services for LLM invocation
Supports static tool registration, dynamic tool provisioning based on context, concurrent execution, and immediate-return tools for quick responses
Includes error handling strategies, tool execution monitoring, memory context integra
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionlangchain4j-tool-function-calling-patternsExecute the skills CLI command in your project's root directory to begin installation:
epx add giuseppe-trisciuoglio/developer-kit --skill langchain4j-tool-function-calling-patternsFetches langchain4j-tool-function-calling-patterns from giuseppe-trisciuoglio/developer-kit and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/langchain4j-tool-function-calling-patterns
Restart Cursor to activate langchain4j-tool-function-calling-patterns. Access via /langchain4j-tool-function-calling-patternsin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Solid pick for teams standardizing on skills: langchain4j-tool-function-calling-patterns is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: langchain4j-tool-function-calling-patterns is focused, and the summary matches what you get after install.
We added langchain4j-tool-function-calling-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
langchain4j-tool-function-calling-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: langchain4j-tool-function-calling-patterns is focused, and the summary matches what you get after install.
We added langchain4j-tool-function-calling-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added langchain4j-tool-function-calling-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added langchain4j-tool-function-calling-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: langchain4j-tool-function-calling-patterns is focused, and the summary matches what you get after install.
langchain4j-tool-function-calling-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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