Coordinates repository tasks by loading memory, planning lightweight changes, and updating .ai/memory.md.
npx skills add https://github.com/liida/skills --skill project-workflow-liida
Please help me install this Agent Skill. Skill: project-workflow Source: https://github.com/liida/skills/tree/main/project-workflow Command: npx skills add https://github.com/liida/skills --skill project-workflow-liida
Repository-level development task workflows coordinate planning, context-reading, and memory updates to prevent unnecessary rework, ensure consistent practices, and capture valuable decisions for long-term stability across multiple files and tasks.
Use this skill to coordinate a repository task by loading context, outlining a lightweight plan, applying scoped changes, and validating results.
High-intent search queries and answers about installing and using this skill.
Maintaining consistent repository workflows involves loading stable project context from memory files, planning lightweight modifications, and updating durable decisions to prevent rework across multi-file changes. This approach ensures team conventions are enforced throughout the task lifecycle.
Project memory captures durable guidance and decisions in files like memory.md to preserve long-term stability. It helps repository management by providing consistent context for code reviews, refactoring, and bug fixes, reducing redundant analysis across tasks.
Start refactoring by loading existing context from project memory files when present, then inspect relevant source files and configurations. This establishes a baseline understanding before outlining a lightweight plan for precise modifications and verifying results.
Yes, automated workflow memory applies to project initialization and testing tasks by guiding execution with a minimal, verifiable process. It reads stable context, applies scoped changes, and updates memory with valuable decisions for long-term project stability.
Repository task workflow automation operates without external dependencies or components, relying solely on reading stable context from memory files and inspecting relevant configurations. It guides lightweight planning and precise modifications independently within the repository.
Update project memory during multi-file bug fixes when there is long-term value in capturing decisions or durable guidance. This reinforces team conventions and ensures stable context is available for future repository tasks and code reviews.
ReScienceLabCreate an isolated git worktree for a feature branch with automatic project setup.
agent-shRun a controlled performance test comparing metrics against baseline data.
ulf1Enforce repository-wide standards for structure, documentation, version control, and CI/CD.
FlagrareRevert Claude Code statusline modifications in settings.json via shell script.
