Scope CLAUDE.md context to active directories to reduce per-prompt token usage.
npx skills add https://github.com/kromahlusenii-ops/ham --skill ham
Please help me install this Agent Skill. Skill: ham Source: https://github.com/kromahlusenii-ops/ham/tree/main Command: npx skills add https://github.com/kromahlusenii-ops/ham --skill ham
HAM reduces per-prompt token costs by scoping context to the active directory rather than loading a monolithic memory file.
Run go ham in your repository to auto-generate the scoped CLAUDE.md memory structure.
High-intent search queries and answers about installing and using this skill.
Reduce per-prompt token usage by scoping CLAUDE.md context to the active directory. This approach loads only root plus target directory memory instead of a monolithic file, minimizing costs and improving agent performance across large codebases.
Scoped memory loading enforces per-directory CLAUDE.md creation, loading root and target directory context on demand. It applies across large codebases and multiple agents, ensuring each task receives only the necessary scoped context to answer efficiently.
Generate scoped CLAUDE.md memory structures by running the command in your repository. This auto-generates the scoped memory structure, enforcing per-directory file creation to minimize token usage and improve context loading performance.
Track token savings and carbon efficiency using the integrated dashboard and baseline tooling. HAM provides analytics for token savings and baseline benchmarking, allowing you to monitor context optimization and carbon efficiency across codebase directories.
Context scoping supports on-demand memory files across different directories. HAM enforces per-directory CLAUDE.md creation and loads root plus target directory context on demand, applying efficiently across large codebases and multiple agents.
tnezInitialize the .docent directory structure and configuration for new projects.
dkyazzentwatwaGenerate session efficiency reports with token savings and cache performance metrics.
Svenja-devEstimate token consumption and recommend chunked execution plans for large tasks.
krrishverma1805-webCompress file context using summary, outline, diff-only, and reference modes.
