20ff405cb3
* feat(#2162): opt-in compact GSD-state format for the statusline New statusline.state_format config, enum full|compact (default full — existing rendering untouched). "compact" renders the state segment as "<version> · P<phase>/<total> · <status>", e.g. "v1.12 · P7/12 · executing" — dropping the milestone name and progress bar (the two biggest width costs) and collapsing narrative statuses to a single keyword. Per the #2162 approval conditions, the keyword set is the canonical vocabulary from normalizeStateStatus() in state-document.cjs (discussing/planning/executing/verifying/completed/paused) — no parallel hand-rolled list, so the vocabularies can't drift — and the canonical stuck state "paused" renders uppercase as PAUSED (no new "blocked" lifecycle state). Statuses the normalizer passes through unrecognized fall back to their first word capped at 16 chars. Lifecycle scenes preserved: active_phase wins over the body phase number, milestone completion renders "complete", idle-with-next-action renders "next <action> <phases>". Claude-Session: https://claude.ai/code/session_01Hme55Pvq6BhpgwBcyC5HAg * docs(#2162): changeset fragment for PR #2175 * fix(#2162): review fixes — ENUM_KEYS coverage, cap boundary tests, changeset format - register statusline.state_format in the fix-1628 coercion-bypass matrix - 15/16/17-char boundary tests for the shortGsdStatus fallback cap - changeset body ends with the (#2162) citation per house convention Claude-Session: https://claude.ai/code/session_01Hme55Pvq6BhpgwBcyC5HAg * fix(#2162): round-2 review fixes — scene exclusivity, direct config-set coverage - compact renderer gates the milestone-complete scene behind the absence of an in-flight phase id, mirroring formatGsdState's if/else precedence (Scene 1 beats Scene 3); regression test covers the non-atomic active_phase + percent=100 STATE.md shape - direct config-set accept/reject test for statusline.state_format plain strings (ENUM_KEYS matrix covers only the JSON coercion shapes) Claude-Session: https://claude.ai/code/session_01Hme55Pvq6BhpgwBcyC5HAg * test: regenerate golden-install-parity fixtures for the statusline hook change Claude-Session: https://claude.ai/code/session_01Hme55Pvq6BhpgwBcyC5HAg * fix(#2162): complete-scene gate matches formatGsdState exactly (+property tests) Re-review Major: gating done on !phaseId held completion back for the legacy phaseNum shape — formatGsdState reaches Scene 3 on percent=100 regardless of phaseNum, so compact must too. Gate is now !s.activePhase. The phaseNum-only test now expects 'complete' and cross-checks the full renderer; a parity test feeds identical inputs to both renderers. Re-review Minor: shortGsdStatus gets fast-check property coverage (totality, canonical fixed points, separator safety, fallback shape). Golden fixtures regenerated for the hook byte change. Claude-Session: https://claude.ai/code/session_01Hme55Pvq6BhpgwBcyC5HAg
GSD Core
Git. Ship. Done.
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A light-weight meta-prompting, context engineering, and spec-driven development system for Claude Code, OpenCode, Antigravity CLI, Kimi CLI, Kilo, Codex, Copilot, Cursor, Windsurf, and more.
What is GSD Core
GSD Core is a context-engineering and spec-driven development framework that drives AI coding agents (Claude Code, Codex, Antigravity CLI, Kimi CLI, Copilot, Cursor, and more) through a disciplined phase loop. It solves context rot — the quality degradation that accumulates as an AI fills its context window — by running all heavy research, planning, and execution work in fresh-context subagents while keeping your main session lean.
How it works
Each milestone repeats the same five-step loop, one phase at a time:
- Discuss — capture implementation decisions before anything is planned
- Plan — research, decompose, and verify the plan fits a fresh context window
- Execute — run plans in parallel waves; each executor starts with a clean 200k-token context
- Verify — walk through what was built; diagnose and fix before declaring done
- Ship — create the PR, archive the phase, repeat for the next one
Quickstart
npx @opengsd/gsd-core@latest
The installer prompts for your runtime (Claude Code, OpenCode, Antigravity CLI, Kimi CLI, Kilo, Codex, Copilot, Cursor, Windsurf, and more) and whether to install globally or locally. The installer is required for cross-runtime compatibility — do not copy files from agents/ or commands/ directly.
On another runtime or without Node.js? See Install on your runtime.
Once installed, start a new project or onboard an existing repo:
/gsd-new-project # greenfield project
/gsd-onboard # existing codebase
New here? Follow Your first project for a guided walkthrough from install to first shipped phase, or Onboarding an existing codebase for brownfield setup.
Documentation
Tutorials — learning by doing:
How-to guides — task-focused recipes:
Reference — authoritative facts:
Explanation — concepts and design decisions:
Full index: docs/README.md. Other languages: 日本語 · 한국어 · Português · 简体中文.
Why it works
Most AI-coding setups fail at scale because context bloat silently degrades output quality, there is no shared memory between sessions, and nothing verifies that code actually works. GSD Core solves all three: heavy work runs in fresh subagents, structured artifacts like STATE.md and CONTEXT.md survive session boundaries, and the verify step walks through what was built and generates fix plans before a phase is declared done. See docs/explanation/context-engineering.md for the full reasoning.
Troubleshooting? See docs/how-to/recover-and-troubleshoot.md.
Community
| Project | Platform |
|---|---|
| gsd-opencode | Original OpenCode port |
| Discord | Community support |
Star History
License
MIT License. See LICENSE for details.
Claude Code is powerful. GSD Core makes it reliable.