| name | trellis-meta |
| description | Understand and customize the local Trellis architecture inside a user project. Use when modifying .trellis plus platform hooks, settings, agents, skills, commands, prompts, workflows, the channel runtime (trellis channel), bundled runtime agents under .trellis/agents/, selectable workflow templates, registry-backed spec refresh, cross-session memory (trellis mem) generated by trellis init, or AI-facing bundled skills (trellis-channel, trellis-session-insight, trellis-spec-bootstrap) and bundled-skill auto-dispatch flow. |
Trellis Meta
This skill is for local Trellis users who have already run trellis init in a project. After reading it, an AI should understand the Trellis architecture, operating model, and customization entry points inside that user project, then modify the generated .trellis/ and platform directory files according to the user's request.
Trellis v0.6 adds three architectural surfaces on top of the pre-v0.6 workflow / persistence / platform model. First, a multi-agent collaboration runtime: trellis channel coordinates multiple AI worker processes through project-scoped JSONL event logs at ~/.trellis/channels/<project>/<channel>/events.jsonl, with worker OOM guard, forum/thread channels, durable idempotency keys, and bundled .trellis/agents/{check,implement}.md runtime definitions. Second, cross-session memory: trellis mem list | search | context | extract | projects reads raw Claude Code, Codex, and Pi Agent JSONL already on disk, slices by --phase brainstorm|implement|all, and never uploads anything. Third, a dual-package npm release: @mindfoldhq/trellis (CLI) and @mindfoldhq/trellis-core (SDK with /channel, /task, /mem, /testing subpaths) ship in lockstep on one version. Treat these as first-class customization surfaces alongside the per-platform integration files.
