v1.0.5

## [1.0.5] - 2026-02-16

The npm package now ships compiled JavaScript instead of raw TypeScript,
removing the `tsx` runtime dependency. A new `/release` skill automates the
full release workflow with changelog validation and git hook enforcement.

### Changes

- Build: compile TypeScript to `dist/` via `tsc` so the npm package no longer
  requires `tsx` at runtime. The `qmd` shell wrapper now runs `dist/qmd.js`
  directly.
- Release tooling: new `/release` skill that manages the full release
  lifecycle — validates changelog, installs git hooks, previews release notes,
  and cuts the release. Auto-populates `[Unreleased]` from git history when
  empty.
- Release tooling: `scripts/extract-changelog.sh` extracts cumulative notes
  for the full minor series (e.g. 1.0.0 through 1.0.5) for GitHub releases.
  Includes `[Unreleased]` content in previews.
- Release tooling: `scripts/release.sh` renames `[Unreleased]` to a versioned
  heading and inserts a fresh empty `[Unreleased]` section automatically.
- Release tooling: pre-push git hook blocks `v*` tag pushes unless
  `package.json` version matches the tag, a changelog entry exists, and CI
  passed on GitHub.
- Publish workflow: GitHub Actions now builds TypeScript, creates a GitHub
  release with cumulative notes extracted from the changelog, and publishes
  to npm with provenance.

## [1.0.0] - 2026-02-15

QMD now runs on both Node.js and Bun, with up to 2.7x faster reranking
through parallel GPU contexts. GPU auto-detection replaces the unreliable
`gpu: "auto"` with explicit CUDA/Metal/Vulkan probing.

### Changes

- Runtime: support Node.js (>=22) alongside Bun via a cross-runtime SQLite
  abstraction layer (`src/db.ts`). `bun:sqlite` on Bun, `better-sqlite3` on
  Node. The `qmd` wrapper auto-detects a suitable Node.js install via PATH,
  then falls back to mise, asdf, nvm, and Homebrew locations.
- Performance: parallel embedding & reranking via multiple LlamaContext
  instances — up to 2.7x faster on multi-core machines.
- Performance: flash attention for ~20% less VRAM per reranking context,
  enabling more parallel contexts on GPU.
- Performance: right-sized reranker context (40960 → 2048 tokens, 17x less
  memory) since chunks are capped at ~900 tokens.
- Performance: adaptive parallelism — context count computed from available
  VRAM (GPU) or CPU math cores rather than hardcoded.
- GPU: probe for CUDA, Metal, Vulkan explicitly at startup instead of
  relying on node-llama-cpp's `gpu: "auto"`. `qmd status` shows device info.
- Tests: reorganized into flat `test/` directory with vitest for Node.js and
  bun test for Bun. New `eval-bm25` and `store.helpers.unit` suites.

### Fixes

- Prevent VRAM waste from duplicate context creation during concurrent
  `embedBatch` calls — initialization lock now covers the full path.
- Collection-aware FTS filtering so scoped keyword search actually restricts
  results to the requested collection.