# Trellis Continue

Resume work on the current task.

- Repository: https://github.com/mindfold-ai/Trellis (15078 stars)
- Category: Engineering
- License: AGPL-3.0
- Last updated: 2026-09-29
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add mindfold-ai/Trellis --skill trellis-continue -g -a claude-code -y`
Codex: `npx skills add mindfold-ai/Trellis --skill trellis-continue -g -a codex -y`
Cursor: `npx skills add mindfold-ai/Trellis --skill trellis-continue -g -a cursor -y`
Gemini CLI: `npx skills add mindfold-ai/Trellis --skill trellis-continue -g -a gemini-cli -y`

## Description

Resume work on the current task. Loads the workflow Phase Index, figures out which phase/step to pick up at, then pulls the step-level detail via get_context.py --mode phase. Use when coming back to an in-progress task and you need to know what to do next.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Continue Current Task

Resume work on the current task, pick up at the right phase/step in `.trellis/workflow.md`.

---

## Step 1: Load Current Context

```bash
python3 ./.trellis/scripts/get_context.py
```

Confirms: current task, git state, recent commits.

## Step 2: Load the Phase Index

```bash
python3 ./.trellis/scripts/get_context.py --mode phase
```

Shows the Phase Index (Plan / Execute / Finish) with routing + skill mapping.

## Step 3: Decide Where You Are

`get_context.py` shows the active task's `status` field. Route by `status` + artifact presence. This command replaces the user needing to remember the Trellis flow; it does not itself approve implementation.

- `status=planning` + no `prd.md` → **1.1** (load `trellis-brainstorm`)
- `status=planning` + `prd.md` only → decide whether the task is lightweight or complex. Lightweight can move to **1.4** review; complex returns to **1.1** to add `design.md` + `implement.md`.
- `status=planning` + complex artifacts complete + sub-agent jsonl not curated (empty, or only a legacy `_example` placeholder row) → **1.3**
- `status=planning` + required artifacts complete + required jsonl curated or inline mode → **1.4** (ask for start review; only run `task.py start` after user confirms)
- `status=in_progress` + implementation not started → **2.1**
- `status=in_progress` + implementation done, not yet checked → **2.2**
- `status=in_progress` + check passed → **3.3** (spec update) → **3.4** (commit)
- `status=completed` (rare; usually archived immediately) → archive flow

Phase rules (full detail in `.trellis/workflow.md`):

1. Run steps **in order** within a phase, `[required]` steps must not be skipped
2. `[once]` steps are already done if the required output exists. `prd.md` alone can be enough only for lightweight tasks; complex tasks also need `design.md` and `implement.md`.
3. You may go back to an earlier phase if discoveries require it

## Step 4: Load the Specific Step

The rest: https://github.com/mindfold-ai/Trellis/blob/HEAD/.agents/skills/trellis-continue/SKILL.md