903182fed3
* fix(#2414): mempalace-capture rooms example must be dicts with name key
The skill's Step 3 'Add the drawer (verbatim)' example wrote a flat list
of bare strings under rooms: in the embedded mempalace.yaml. mempalace's
miner (detect_room + _mine_impl) indexes room["name"] — a bare-string
list crashes the first 'mempalace mine' invocation with
TypeError: string indices must be integers, not 'str'
Following the documented example verbatim and running the capture crashed
every time, before any file was routed. The bug shipped in #2220's fix
(commit d8af61be4) — the same commit that replaced the invalid --room
flag with detect_room() staging also introduced this rooms: block with
the wrong (string, not dict) entry shape.
Fix: convert each '- <room>' to '- name: <room>' in both shipped source
files (skills/gsd-mempalace-capture/SKILL.md and commands/gsd/mempalace-capture.md).
The two files are byte-for-byte duplicates of the broken block; both are
corrected in lockstep so the installer regenerates consistent copies into
the user's runtime config dir (gsd-pristine/ and gsd-local-patches/ are
install-time-generated, no separate edit needed).
Tests: tests/mempalace-capture-headless-invocation.test.cjs gains a #2414
describe block that extracts the YAML block from each file, parses it with
js-yaml, and asserts every entry under rooms: is a dict carrying a
non-empty 'name' string. A second belt-and-suspenders check forbids any
bare '- <word>' line under rooms: so a future reversion can't slip back in
silently if the YAML parser is ever removed/refactored.
References: #2414; #2220 (same origin commit, distinct failure mode);
mempalace's miner dict-shape contract (miner.py:1708 built-in default
uses [{"name": "general", "description": "All project files"}]).
* chore(#2414): backfill pr:2464 in .changeset/eager-pandas-jump.md
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.