agentsmesh matrix

Display the feature-target compatibility matrix for your current configuration. Shows which features are supported natively, embedded as projected skills, or not supported for each configured target.

Usage

agentsmesh matrix [flags]

Flags

Flag	Description
--targets <csv>	Limit matrix columns to specific target IDs.
--verbose	Show detailed feature notes alongside the matrix.

Examples

Show full matrix

agentsmesh matrix

Show matrix for specific targets

agentsmesh matrix --targets claude-code,cursor,copilot

Show matrix with detailed notes

agentsmesh matrix --verbose

Shows additional notes explaining embedding behavior, partial support limitations, and conversion settings.

Sample output

Feature      claude-code  cursor   copilot  gemini-cli  cline  codex-cli  windsurf  continue  junie
───────────────────────────────────────────────────────────────────────────────────────────────────────
Rules        native       native   native   native      native  native     native    native    native
Commands     native       native   native   native      native  embedded   native    embedded  embedded
Agents       native       native   native   native      embed.  native     embedded  —         embedded
Skills       native       native   native   native      native  native     native    embedded  embedded
MCP Servers  native       native   —        native      native  native     partial   native    native
Hooks        native       native   partial  partial     —       —          native    —         —
Ignore       native       native   —        native      native  —          native    —         native
Permissions  native       partial  —        partial     —       —          —         —         —

Legend

Symbol	Meaning
native	Feature maps directly to the tool’s native config format.
embedded	Feature is projected as a skill with metadata for lossless round-trip.
partial	Limited support — some fields or behaviors may not round-trip.
—	Not supported. Feature is skipped for this target.

Using the matrix for planning

Before adding a new feature to your canonical config, run agentsmesh matrix to understand which tools will receive it natively and which will receive an embedded projection. This helps set expectations for team members using different tools.