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eryao/.claude/commands/trellis/finish-work.md
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zl-q 04b493ed09 chore: migrate from opencode to trellis 0.5.0-rc.6
- Remove legacy .opencode/ directory and configuration
- Update .trellis/ to v0.5.0-rc.6 structure
- Refactor scripts: modularize common/, remove multi_agent/
- Add new common modules: git.py, io.py, log.py, types.py, etc.
- Update workflow.md and AGENTS.md
- Archive completed migration tasks
2026-05-06 14:29:25 +08:00

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# Finish Work
Wrap up the current session: archive the active task (and any other completed-but-unarchived tasks the user wants to clean up) and record the session journal. Code commits are NOT done here — those happen in workflow Phase 3.4 before you invoke this command.
## Step 1: Survey current state
```bash
python3 ./.trellis/scripts/get_context.py --mode record
```
This prints:
- **My active tasks** — review whether any besides the current one are actually done (code merged, AC met) and should be archived this round.
- **Git status** — quick visual on what's dirty.
- **Recent commits** — you'll need their hashes in Step 4 for `--commit`.
If `--mode record` surfaces other completed tasks not tied to the current session, surface them to the user with a one-shot confirmation: "These N tasks look done — archive them too in this round? [y/N]". Default is no; the current active task is always archived in Step 3 regardless.
## Step 2: Sanity check — classify dirty paths
Run:
```bash
git status --porcelain
```
Filter out paths under `.trellis/workspace/` and `.trellis/tasks/` — those are managed by `add_session.py` and `task.py archive` auto-commits and will appear dirty as part of this skill's own work.
For each remaining dirty path, decide whether it belongs to **the current task** or to **other parallel work** (e.g., another terminal window editing the same repo). Heuristics:
- Paths referenced in the current task's `prd.md` / `implement.jsonl` / `check.jsonl` → current task
- Paths in code areas matching the task's stated scope, or that you remember editing this session → current task
- Paths in unrelated areas you have no recollection of touching this session → other parallel work
Then route:
- **Any remaining path looks like current-task work** — bail out with:
> "Working tree has uncommitted code changes from this task: `<list>`. Return to workflow Phase 3.4 to commit them before running `/trellis:finish-work`."
Do NOT run `git commit` here. Do NOT prompt the user to commit. The user goes back to Phase 3.4 and the AI drives the batched commit there.
- **All remaining paths look unrelated** (other parallel-window work) — report them once and continue to Step 3:
> "FYI, dirty files outside this task's scope — leaving them for the other window: `<list>`."
- **Genuinely unsure** — ask the user once: "Are `<list>` this task's work I forgot to commit, or another window's? (commit / ignore)" — then route per their answer.
## Step 3: Archive task(s)
```bash
python3 ./.trellis/scripts/task.py archive <task-name>
```
At minimum: the current active task (if any). Plus any extra tasks the user confirmed in Step 1. Each archive produces a `chore(task): archive ...` commit via the script's auto-commit.
If there is no active task and the user did not confirm any cleanup archives, skip this step.
## Step 4: Record session journal
```bash
python3 ./.trellis/scripts/add_session.py \
--title "Session Title" \
--commit "hash1,hash2" \
--summary "Brief summary"
```
Use the work-commit hashes produced in Phase 3.4 (visible in Step 1's `Recent commits` list, or via `git log --oneline`) for `--commit`. Do not include the archive commit hashes from Step 3. This produces a `chore: record journal` commit.
Final git log order: `<work commits from 3.4>``chore(task): archive ...` (one or more) → `chore: record journal`.