0aeafc6425
Discovered blocking this PR's own Windows CI (unrelated to this PR's actual diff, fixed inline per this repo's no-defer policy): PR #4552's "full test (windows-latest, 24, shard 2/3)" job failed tests/check-env.test.cjs's npm-version subtest with "npm binary not found on PATH" under chunk 5/9's heavy load (51 concurrent files, 5+ minutes). Root-caused via the CI log: the check's spawnSync call used a 10s timeout, and every failure mode -- ENOENT, a signal-killed timeout, a non-zero exit, a thrown spawn error -- collapsed into that one message (only `res.status === 0 && res.stdout` was checked), so a genuine npm.cmd cold-start timeout under contention was indistinguishable from npm actually being absent. Extracted the reason-selection into describeNpmVersionCheckFailure, a pure function in the new scripts/lib/npm-version-check-diagnosis.cjs (kept out of check-env.cjs itself, which runs its CLI unconditionally on require with no `require.main === module` guard, so the pure logic can be unit-tested without triggering a real environment check). Reports ENOENT, signal-kill, non-zero-exit, and thrown-error cases distinctly. Does NOT raise the 10s timeout itself -- a slow subprocess under contention is a cost to reduce, not a tolerance to widen. Also fixed a stale tsconfig.build.tsbuildinfo incremental-build cache discovered while verifying this change: npm run build:lib was silently omitting gsd-core/bin/lib/markdown-table.cjs (a real, needed compiled module -- src/state-document.cts requires it), which only surfaced via npm run lint:generated-sync's gen-health-docs check failing with Cannot find module. Deleting the cache and rebuilding fresh restored it; docs/INVENTORY-MANIFEST.json needed no net change once the build was genuinely complete. Manually verified describeNpmVersionCheckFailure's five branches directly (ENOENT, signal-kill, non-zero exit, thrown error, defensive default) before wiring the test file, since this repo blocks local node --test. Re-ran node scripts/check-env.cjs directly to confirm the real success path is unaffected. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
GSD Core
Git. Ship. Done.
English · Português · 简体中文 · 日本語 · 한국어
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
What's new in 1.7.0 → docs/whats-new-1.7.0.md
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.