Workflows were calling init commands to get parsed JSON metadata, then
immediately reading the same files again with cat to pass raw content
to agents. This wastes context tokens.
Changes:
- Add --include flag to init execute-phase, plan-phase, and progress
- Support includes: state, config, roadmap, requirements, context,
research, verification, uat, project
- Update plan-phase.md to use --include (removes 6 cat calls)
- Update execute-phase.md to use --include (removes 2 cat calls)
- Update execute-plan.md to use --include (removes 2 cat calls)
- Update progress.md to use --include (removes 4 cat calls)
- Add 7 tests for --include functionality
Token savings: ~5,000-10,000 tokens per plan-phase execution,
~1,500-3,000 per other workflow executions.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add three new commands that extract structured data from GSD files,
reducing context usage by returning only parsed fields instead of
raw file content:
- phase-plan-index: Plans grouped by wave with metadata (id, wave,
autonomous, objective, files_modified, task_count, has_summary)
- state-snapshot: Parsed STATE.md fields (current phase, decisions,
blockers, session info)
- summary-extract: Frontmatter extraction with optional --fields filter
Update workflows to use new commands:
- execute-phase: Use phase-plan-index instead of ls + grep loop
- plan-phase: Use state-snapshot for decisions
- research-phase: Use state-snapshot for decisions
- complete-milestone: Use summary-extract for one-liners
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
