ff9cb6069f
The claude-orchestration capability (#1143) shipped registered 'active' but fully inert: detectWorkflowBackend/emitWorkflowScript had no caller outside their own CLI router, and execute-phase.md declared an execute:wave:pre hook point that the workflow body never rendered — so claude_orchestration.enabled:true had zero effect on real runs. Approach B (maintainer-chosen): - execute-phase.md now renders the execute:wave:pre hook (gsd_run loop render-hooks execute:wave:pre) at a new step 2.75, immediately before each wave's Agent() dispatch — fixing the latent dead-hook gap for any pre-wave capability. - Move the claude-orchestration contribution execute:wave:post -> execute:wave:pre (a pre-wave backend selector belongs before dispatch, not after); rename fragments/execute-wave-post.md -> execute-wave-pre.md with prose instructing the orchestrator to call resolve-wave-dispatch before step 3. Unrelated wave:post contributions (ui.safety-gate, drift, external-job, mempalace) untouched. - New .cts seam resolveWaveDispatch(input) composes detectWorkflowBackend + emitWorkflowScript into one {backend:'inline'|'workflow', ...} result; exposed as gsd-tools claude-orchestration resolve-wave-dispatch. This is a real non-CLI-router, non-test caller of both functions. Fail-closed: any gate miss (disabled, non-Claude runtime, Workflow tool absent, SDK below floor, execution_backend:inline, malformed input) or an emit failure resolves to inline with a byte-identical result shape — no regression to the default-off execute-phase path. Regression tests (tests/fix-2285-*) cover happy-path activation + SDK-floor BVA, the fail-closed gate-miss table with detectWorkflowBackend parity, a fast-check composition property, capability.json contribution assertions, and a source-contract guard that execute:wave:pre is now actually rendered. Dependent registry-shape assertions updated in-scope. Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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
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.