lwy-project-skill-installer

This skill guides you through building autonomous agents for your project by first understanding your automation need, analyzing your codebase structure, and designing an agent tailored to your problem. It supports six agent archetypes—graders, comparators, analyzers, transformers, researchers, and validators—and requires user confirmation before generating any files.

lwy-project-rules-writer guides you through designing and generating project-specific AI rules that persist across sessions. It analyzes your codebase, confirms the rule design with you, then outputs frontmatter+markdown files to `.agents/rules/` — compatible with Trae, Cursor, Windsurf, and Claude Code. Use it to enforce naming conventions, code style, commit formats, or consistent AI behavior without creating skills or agents.

This skill transforms recurring manual tasks into standardized, reusable AI capabilities by understanding your problem, analyzing your project structure, and generating a complete skill design. It guides you through problem classification, project profiling, and skill architecture before generating executable SKILL.md files that integrate seamlessly with your codebase.

Capture debugging breakthroughs, configuration wins, and operational lessons as structured Markdown files anchored to your project's IDE folder. Each insight becomes a dated, searchable doc that travels with your codebase and surfaces in future sessions on the same project. When a doc proves reusable across projects, promote it into the global knowledge wiki.

Task skill integrates with LobeHub's task system to let you manage work through CLI commands. Create tasks and subtasks, set dependencies, add workspace documents, and track progress with comments and status updates. Use the `lh task` command to view, edit, complete, and organize your entire task tree.

Skill Evolution monitors how your skills perform across sessions by analyzing user edits and success metrics, then suggests targeted improvements with confidence scores. Apply changes safely with automatic version snapshots and rollback capability, or use the holdout-promotion gate to validate candidates against a sealed eval set before graduating them.