Tom Boucher c2a305c44d feat(#2505): Phase 2 — kimi-code Agent Skills install layout (#2520)
* feat(#2454): PR 2 — kimi-code Agent Skills converter + install layout

PR 1 registered the kimi-code EoS descriptor with empty artifactLayout
(SKIP_INSTALL_CONTRACT excluded it from the end-to-end install test).
PR 2 fills in the install surface:

- src/runtime-artifact-conversion.cts: new convertClaudeCommandToKimiCodeSkill
  function. Today it delegates to convertClaudeCommandToKimiSkill (Python
  kimi-cli) because Kimi Code uses the same Agent Skills format + /skill:
  invocation per official docs. The distinct function name lets a future
  divergence land cleanly if Kimi Code's skill format evolves independently.
- gsd-core/bin/lib/capability-validator.cjs: add to ALLOWED_SKILLS_CONVERTERS.
- capabilities/kimi-code/capability.json: artifactLayout.global now declares
  the skills kind with converter='convertClaudeCommandToKimiCodeSkill' +
  home='.kimi-code' (auto-discovered at ~/.kimi-code/skills/ per Kimi Code
  docs: merge_all_available_skills = true default).
- tests/installer-migration-install.integration.test.cjs: REMOVE the
  SKIP_INSTALL_CONTRACT exclusion — kimi-code now has a full install surface.
- Regenerated capability-registry + capability-matrix + golden install
  parity + install tree fixtures for kimi-code.

* fix(#2454): wire kimi-code converter into SKILLS_CONVERTER_REGISTRY + count bump

- src/install-engine.cts: add convertClaudeCommandToKimiCodeSkill to
  SKILLS_CONVERTER_REGISTRY so the layout-driven skills install path
  can dispatch off the descriptor's converter string.
- tests/capability-registry.test.cjs: bump VALID_CONVERTER_NAMES count
  26 → 27 (added convertClaudeCommandToKimiCodeSkill).

* fix(#2454): remove home override from kimi-code skills (inherit configDir)

The home:'.kimi-code' override made the install plan resolve skills dest
to ~/.kimi-code/skills instead of <configDir>/skills, causing the test's
temp configDir to miss the install. Removing it lets skills inherit
configDir like most runtimes.

* fix(#2454): kimi-code install contract surface is flat-skills (no agents)

Kimi Code has NO custom named subagents (per official docs: 3 built-in
coder/explore/plan only). The kimi-skills-agents surface expects agents/
gsd.yaml + subagents/*.yaml which kimi-code does not produce. Changed
to flat-skills which only checks for skills/gsd-* dirs.

* docs(changeset): Phase 2 kimi-code install layout Added (#2509)

* docs(changeset): backfill PR #2520 for Phase 2 (#2509)
2026-07-22 00:58:58 -04:00

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.

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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:

  1. Discuss — capture implementation decisions before anything is planned
  2. Plan — research, decompose, and verify the plan fits a fresh context window
  3. Execute — run plans in parallel waves; each executor starts with a clean 200k-token context
  4. Verify — walk through what was built; diagnose and fix before declaring done
  5. 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

Star History Chart

License

MIT License. See LICENSE for details.


Claude Code is powerful. GSD Core makes it reliable.

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