* feat(#774): emit service_tier/model_verbosity in Codex agent TOML + agents/openai.yaml skill chip - Add service_tier = "flex" and model_verbosity = "low" to the Codex ConfigProfile TOML for light-tier agents (gsd-research-synthesizer, gsd-codebase-mapper, gsd-plan-checker, and 8 others identified via AGENT_DEFAULT_TIERS). Field names/values verified against Codex schema (profile_toml.rs / config_types.rs Verbosity enum). Non-light agents are unaffected. - Add generateCodexSkillMetadataYaml() and writeCodexSkillMetadataFiles(): after installRuntimeArtifacts, iterate every gsd-* skill directory, read the short-description already emitted in the SKILL.md frontmatter by convertClaudeCommandToCodexSkill, and write agents/openai.yaml with interface.display_name and interface.short_description for the Codex TUI skill picker chip. - yamlQuote (JSON.stringify) handles all YAML-unsafe chars. - User-owned gsd-dev-preferences dir is never overwritten. - Errors per-skill are swallowed so a bad SKILL.md can't abort install. - agents/openai.yaml is covered by the snapshot/rollback system and manifest hash (writeManifest hashes skill dirs recursively). - Uninstall symmetry: _removeGsdEntries removes whole gsd-* dirs. - 21 new tests in codex-config.test.cjs covering service_tier/verbosity TOML emission, YAML generation (round-trip via js-yaml), and writeCodexSkillMetadataFiles including an e2e integration test. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix(#774): correct docs-lint coverage — proper changeset format + USER-GUIDE entry Rewrite the changeset fragment from old @opengsd/gsd-core:patch format to the required type:/pr: schema so the docs-lint parser can consume it. Add a new "Codex skill picker and agent scheduling (#774)" section to docs/USER-GUIDE.md describing the flex-tier scheduling and /skills TUI chip enrichments — both are user-visible and belong in docs rather than behind a docs-exempt marker. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 <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, Gemini 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, Gemini 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, Gemini 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 your first project:
/gsd-new-project
New here? Follow Your first project for a guided walkthrough from install to first shipped phase.
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.