trellis-continue

恢复进行中的任务：加载工作流阶段索引，定位应继续的 phase/step。

核心说明

以下为上游 SKILL.md 摘要（英文原文结构保留要点）：

Continue Current Task

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

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Step 1: Load Current Context

python3 ./.trellis/scripts/get_context.py

Confirms: current task, git state, recent commits.

Step 2: Load the Phase Index

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 (only the seed _example 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 task

安装

随 Trellis 一并分发。执行 trellis init 后可在 .agents/skills/trellis-continue/（及各平台 skill 目录）使用。

npm install -g @mindfoldhq/trellis@latest
trellis init -u your-name

来源：mindfold-ai/Trellis · .agents/skills/trellis-continue