From java-skills
Use when asked to audit, sweep, or review Java code in bulk against the house conventions — the whole repository, the current branch's diff, or named paths/classes. Also invoked directly as /java-skills:java-audit [paths | diff]. Read-only; reports findings without modifying files.
How this skill is triggered — by the user, by Claude, or both
Slash command
/java-skills:java-auditThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Audit Java code in the current repository against the java-skills conventions.
Audit Java code in the current repository against the java-skills conventions.
Determine the scope from the arguments: $ARGUMENTS
diff: audit only files changed on the current branch (staged + unstaged + commits not on
the default branch).Dispatch the java-reviewer agent from this plugin with the scope above; it loads the relevant
skills and produces severity-grouped findings. For very large scopes, dispatch one agent per
module in parallel rather than one giant sweep.
If the agent is unavailable, do it inline: read the relevant SKILL.md files from this plugin's
skills/ directory (java-development always; java-testing for tests; java-concurrency,
java-observability, java-maven, java-gitignore as the file types warrant), then review every
in-scope file against the skills' rules and "Red flags — stop" lists.
Whether delegated or inline, end with a single consolidated report:
file:line, the rule and
skill violated, and a concrete fix.Do not modify any files — this is a read-only audit.
npx claudepluginhub mtkhawaja/java-skills --plugin java-skillsProvides behavioral guidelines to reduce common LLM coding mistakes, focusing on simplicity, surgical changes, assumption surfacing, and verifiable success criteria.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Creates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.