zl-q
04b493ed09
- 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
105 lines
4.3 KiB
Markdown
105 lines
4.3 KiB
Markdown
# Joiner Onboarding Task
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**You (the AI) are running this task. The developer does not read this file.**
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`zl-q` just ran `trellis init` on a fresh clone, saw "Developer
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initialized", and will now start asking you questions in chat. This joiner task
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exists under `.trellis/tasks/`; when they want to work on it, they should
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start it from a session that provides Trellis session identity.
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Your job is to orient them to Trellis. Don't dump all of this at them — open
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with a short greeting, ask where they want to start, and fill in the rest as
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they engage.
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---
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## Topics to cover (adapt order to their questions)
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### 1. What Trellis is + the workflow
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Trellis is a workflow layer over Claude Code / Cursor / etc. that keeps AI
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agents consistent with project-specific conventions instead of writing generic
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code every session.
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- **Three phases**: Plan (brainstorm → `prd.md`) → Execute (code + check) →
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Finish (capture + wrap). Full reference: `.trellis/workflow.md`.
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- **Task lifecycle**: planning → in_progress → done → archive, under
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`.trellis/tasks/`.
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- **Core slash commands**:
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- `/trellis:continue` — resume the current session's active task
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- `/trellis:finish-work` — wrap up a finished task
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- `/trellis:start` — session boot from scratch (not needed here; the
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SessionStart hook does its job automatically)
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### 2. Runtime mechanics (explain when they ask "how does it know what to do")
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- **SessionStart hook** runs `get_context.py` and injects identity, git
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status, session active task, active tasks, and workflow phase into the AI
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conversation at every session start.
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- **`<workflow-state>` tag** is auto-injected with every user message,
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carrying the current task + phase hint.
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- **`/trellis:continue`** loads the Phase Index, reads `prd.md` + recent
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activity, and routes to the right skill (`trellis-brainstorm` for planning,
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`trellis-implement` for coding, `trellis-check` for verification).
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- **`trellis-implement` sub-agent** is spawned when code needs to be written.
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The platform hook reads `{TASK_DIR}/implement.jsonl` and auto-injects those
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spec files + `prd.md` into the sub-agent's prompt so it codes per project
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conventions.
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- **`trellis-check` sub-agent** follows the same pattern with `check.jsonl`
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— reviews changes against specs, auto-fixes issues, runs lint/typecheck.
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File layout (mention when they ask "where does what live"):
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- `.trellis/.runtime/sessions/<session>.json` — session active-task state, gitignored
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- `.trellis/tasks/<task>/{implement,check}.jsonl` — per-task context manifests
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- `.trellis/spec/` — project-wide conventions (source of truth)
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- `.trellis/workspace/zl-q/journal-*.md` — their session log,
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rotated at ~2000 lines
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### 3. This project's actual conventions
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- Summarize `.trellis/spec/` for them — what coding conventions this
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specific team enforces.
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- Point at the last 5 entries in `.trellis/tasks/archive/` as a rhythm
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example of how people actually work here. **If archive is empty** (the
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project just started), skip this — don't invent examples.
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- Not your job in this onboarding to teach them the business code itself —
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the README and their teammates handle that.
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### 4. Their assigned work
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- Check if `.trellis/workspace/zl-q/` already exists — if yes, it's
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their journal from another machine and worth mentioning.
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- Run `python3 ./.trellis/scripts/task.py list --assignee zl-q` to
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show tasks assigned to them. (Quote the name if it contains spaces.)
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- Remind them that the "My Tasks" section appears in the SessionStart context
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on every new session.
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---
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## Optional: walk through a small task end-to-end
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If they want to practice before touching real work, offer to pick a tiny
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P3 task or a typo fix and run the full cycle together: `/trellis:continue`
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→ you implement via sub-agents → `/trellis:finish-work`.
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---
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## Completion
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When they feel oriented (or after you've covered the four topics with
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reasonable back-and-forth), guide them to run:
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```bash
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python3 ./.trellis/scripts/task.py finish
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python3 ./.trellis/scripts/task.py archive 00-join-zl-q
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```
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---
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## Suggested opening line
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"Welcome! Your `trellis init` set me up to onboard you to this project. I
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can walk you through the workflow, show you the runtime mechanics under the
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hood, summarize the team's spec, or jump to what you're already curious about
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— which would you prefer?"
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