Add `lore who` command with 5 query modes answering collaboration questions
using existing DB data (280K notes, 210K discussions, 33K DiffNotes):
- Expert: who knows about a file/directory (DiffNote path analysis + MR breadth scoring)
- Workload: what is a person working on (assigned issues, authored/reviewing MRs, discussions)
- Active: what discussions need attention (unresolved resolvable, global/project-scoped)
- Overlap: who else is touching these files (dual author+reviewer role tracking)
- Reviews: what review patterns does a person have (prefix-based category extraction)
Includes migration 017 (5 composite indexes), CLI skeleton with clap conflicts_with
validation, robot JSON output with input+resolved_input reproducibility, human terminal
output, and 20 unit tests. All quality gates pass.
Closes: bd-1q8z, bd-34rr, bd-2rk9, bd-2ldg, bd-zqpf, bd-s3rc, bd-m7k1, bd-b51e,
bd-2711, bd-1rdi, bd-3mj2, bd-tfh3, bd-zibc, bd-g0d5
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Design document for `lore who` — a people intelligence query layer over
existing GitLab data (280K notes, 210K discussions, 33K DiffNotes, 53
participants). Answers five collaboration questions: expert lookup by
file/path, workload summary, review pattern analysis, active discussion
tracking, and file overlap detection.
Key design decisions refined across 8 feedback iterations:
- All SQL is fully static (no format!()) with prepare_cached() throughout
- Exact vs prefix path matching via PathQuery struct (two static SQL variants)
- Self-review exclusion (author != reviewer) on all DiffNote branches
- Deterministic output: sorted GROUP_CONCAT results, stable tie-breakers
- Bounded payloads with *_total/*_truncated metadata for robot consumers
- Truncation transparency via LIMIT+1 overflow detection pattern
- Robot JSON includes resolved_input for reproducibility (since_mode tri-state)
- Multi-project correctness with project-qualified entity references
- Composite migration indexes designed for query selectivity on hot paths
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
