skills/java-docs/SKILL.md
Ensure that Java types are documented with Javadoc comments and follow best practices for documentation.
npx skillsauth add jyjeanne/ai-setup-forge java-docsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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@param for method parameters. The description starts with a lowercase letter and does not end with a period.@return for method return values.@throws or @exception to document exceptions thrown by methods.@see for references to other types or members.{@inheritDoc} to inherit documentation from base classes or interfaces.
@param <T> for type parameters in generic types or methods.{@code} for inline code snippets.<pre>{@code ... }</pre> for code blocks.@since to indicate when the feature was introduced (e.g., version number).@version to specify the version of the member.@author to specify the author of the code.@deprecated to mark a member as deprecated and provide an alternative.development
Generate breadboard circuit mockups and visual diagrams using HTML5 Canvas drawing techniques. Use when asked to create circuit layouts, visualize electronic component placements, draw breadboard diagrams, mockup 6502 builds, generate retro computer schematics, or design vintage electronics projects. Supports 555 timers, W65C02S microprocessors, 28C256 EEPROMs, W65C22 VIA chips, 7400-series logic gates, LEDs, resistors, capacitors, switches, buttons, crystals, and wires.
development
Apply lean thinking to UX: hypothesis-driven design, collaborative sketching, and rapid experiments instead of heavy deliverables. Use when the user mentions "Lean UX", "design hypothesis", "UX experiment", "collaborative design", or "outcome over output". Covers hypothesis statements, MVPs for UX, and cross-functional collaboration. For Build-Measure-Learn, see lean-startup. For usability audits, see ux-heuristics.
development
Design MVPs, validated learning experiments, and pivot-or-persevere decisions using Build-Measure-Learn. Use when the user mentions "MVP scope", "validated learning", "pivot or persevere", "vanity metrics", or "test assumptions". Covers innovation accounting and actionable metrics. For 5-day prototype testing, see design-sprint. For customer motivation analysis, see jobs-to-be-done.
tools
Instrument, trace, evaluate, and monitor LLM applications and AI agents with LangSmith. Use when setting up observability for LLM pipelines, running offline or online evaluations, managing prompts in the Prompt Hub, creating datasets for regression testing, or deploying agent servers. Triggers on: langsmith, langchain tracing, llm tracing, llm observability, llm evaluation, trace llm calls, @traceable, wrap_openai, langsmith evaluate, langsmith dataset, langsmith feedback, langsmith prompt hub, langsmith project, llm monitoring, llm debugging, llm quality, openevals, langsmith cli, langsmith experiment, annotate llm, llm judge.