CLI coding agents

Keystone manages four AI coding CLIs — Claude Code, Gemini CLI, Codex, and OpenCode — through a shared Nix module stack. Each CLI receives identical skills, MCP server definitions, and a slim instruction file adapted to the tool's native format.

Architecture

Progressive knowledge loading

The system host instruction file (CLAUDE.md, GEMINI.md, etc.) is a concise routing guide — not a convention dump. It lists available skills, universal rules (commit format, privileged ops, shared surfaces), and reference links.

Domain knowledge loads on demand when a skill is activated:

• /ks.engineer — implementation, code review, architecture, CI
• /ks.product — press releases, milestones, stakeholder communication
• /ks.pm — task decomposition, tracking, boards
• /ks.notes — durable notebook capture and repair
• /ks.projects — project lifecycle workflows

Each skill folder colocates its conventions, role definitions, and DeepWork routing so all relevant context arrives together.

Module responsibilities

Skill composition

Skills are defined in the skills: section of conventions/archetypes.yaml. Each skill declares which conventions and roles to colocate:

skills:
  engineer:
    description: "Engineering — implementation, code review, architecture, and CI"
    template: engineer-skill.template.md
    colocated_conventions:
      - process.feature-delivery
      - process.pull-request
      - process.version-control
      # ...
    colocated_roles:
      - software-engineer
      - code-reviewer
      - architect

At generation time, the sync script reads these lists and copies convention files into each skill directory alongside SKILL.md. This means when /ks.engineer is activated, the LLM receives all engineering conventions without them being pre-loaded in the instruction file.

All four CLIs use skills

Skills are the canonical format. Claude Code and Gemini CLI automatically register skills as slash commands. Separate command files are not generated.

Adding conventions to a skill

To add a convention to an existing skill, add it to colocated_conventions in archetypes.yaml:

skills:
  engineer:
    colocated_conventions:
      - process.feature-delivery
      - my-company.code-style    # your custom convention

The convention file must exist at conventions/my-company.code-style.md.

MCP server configuration

All CLIs share a single keystone.terminal.cliCodingAgents.mcpServers option. The DeepWork MCP server is appended automatically when keystone.terminal.deepwork.enable = true.

Each activation script follows the same safety pattern:

1. Remove stale Nix store symlink if present.
2. Merge managed keys into existing file (preserving runtime state).
3. Create from scratch on first run.

Adding an MCP server

keystone.terminal.cliCodingAgents.mcpServers.my-server = {
  command = "${pkgs.my-mcp-server}/bin/my-server";
  args = [ "--flag" "value" ];
  env = { MY_VAR = "value"; };  # WARNING: stored in Nix store, world-readable
};

This definition propagates to all four CLIs automatically.

Capability-driven generation

The set of published skills depends on resolved capabilities:

Capabilities merge from base defaults, archetype defaults (e.g., engineer archetype auto-enables the engineer capability), explicit aiExtensions.capabilities, and dev-mode gating.

Instruction files

The sync script generates a slim instruction file for each CLI:

These files contain session metadata, available skill descriptions, brief universal rules, and reference convention links. They do NOT inline full convention content — that lives in skills.

Development mode

When keystone.development = true:

• DEEPWORK_ADDITIONAL_JOBS_FOLDERS points at local repo checkouts instead of Nix store derivations, so job edits take effect immediately.
• Skills and instruction files are written to the live repo checkout (appearing as git diffs) rather than via home.file symlinks.
• ks-dev capability is automatically enabled.

DeepWork integration

The DeepWork MCP server binary (pkgs.keystone.deepwork) is installed by ai.nix. The server discovers jobs from two roots via DEEPWORK_ADDITIONAL_JOBS_FOLDERS:

1. Shared library jobs — from the Unsupervisedcom/deepwork repo's library/jobs/ directory.
2. Keystone-native jobs — from ncrmro/keystone/.deepwork/jobs/.

In locked mode both resolve to Nix store copies (pkgs.keystone.deepwork-library-jobs and pkgs.keystone.keystone-deepwork-jobs). In dev mode both resolve to local checkouts.