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Book-management-system/.trellis/workflow.md
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2026-04-27 18:40:30 +08:00

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Development Workflow


Core Principles

  1. Plan before code — figure out what to do before you start
  2. Specs injected, not remembered — guidelines are injected via hook/skill, not recalled from memory
  3. Persist everything — research, decisions, and lessons all go to files; conversations get compacted, files don't
  4. Incremental development — one task at a time
  5. Capture learnings — after each task, review and write new knowledge back to spec

Trellis System

Developer Identity

On first use, initialize your identity:

python3 ./.trellis/scripts/init_developer.py <your-name>

Creates .trellis/.developer (gitignored) + .trellis/workspace/<your-name>/.

Spec System

.trellis/spec/ holds coding guidelines organized by package and layer.

  • .trellis/spec/<package>/<layer>/index.md — entry point with Pre-Development Checklist + Quality Check. Actual guidelines live in the .md files it points to.
  • .trellis/spec/guides/index.md — cross-package thinking guides.
python3 ./.trellis/scripts/get_context.py --mode packages   # list packages / layers

When to update spec: new pattern/convention found · bug-fix prevention to codify · new technical decision.

Task System

Every task has its own directory under .trellis/tasks/{MM-DD-name}/ holding prd.md, implement.jsonl, check.jsonl, task.json, optional research/, info.md.

# Task lifecycle
python3 ./.trellis/scripts/task.py create "<title>" [--slug <name>] [--parent <dir>]
python3 ./.trellis/scripts/task.py start <name>          # set as current (writes .current-task, triggers after_start hooks)
python3 ./.trellis/scripts/task.py finish                # clear current task (triggers after_finish hooks)
python3 ./.trellis/scripts/task.py archive <name>        # move to archive/{year-month}/
python3 ./.trellis/scripts/task.py list [--mine] [--status <s>]
python3 ./.trellis/scripts/task.py list-archive

# Code-spec context (injected into implement/check agents via JSONL).
# `implement.jsonl` / `check.jsonl` are seeded on `task create` for sub-agent-capable
# platforms; the AI curates real spec + research entries during Phase 1.3.
python3 ./.trellis/scripts/task.py add-context <name> <action> <file> <reason>
python3 ./.trellis/scripts/task.py list-context <name> [action]
python3 ./.trellis/scripts/task.py validate <name>

# Task metadata
python3 ./.trellis/scripts/task.py set-branch <name> <branch>
python3 ./.trellis/scripts/task.py set-base-branch <name> <branch>    # PR target
python3 ./.trellis/scripts/task.py set-scope <name> <scope>

# Hierarchy (parent/child)
python3 ./.trellis/scripts/task.py add-subtask <parent> <child>
python3 ./.trellis/scripts/task.py remove-subtask <parent> <child>

# PR creation
python3 ./.trellis/scripts/task.py create-pr [name] [--dry-run]

Run python3 ./.trellis/scripts/task.py --help to see the authoritative, up-to-date list.

Current-task mechanism: task.py start writes the task path into .trellis/.current-task. Hook-capable platforms auto-inject this at session start, so the AI knows what you're working on without being told.

Workspace System

Records every AI session for cross-session tracking under .trellis/workspace/<developer>/.

  • journal-N.md — session log. Max 2000 lines per file; a new journal-(N+1).md is auto-created when exceeded.
  • index.md — personal index (total sessions, last active).
python3 ./.trellis/scripts/add_session.py --title "Title" --commit "hash" --summary "Summary"

Context Script

python3 ./.trellis/scripts/get_context.py                            # full session context
python3 ./.trellis/scripts/get_context.py --mode packages            # available packages + spec layers
python3 ./.trellis/scripts/get_context.py --mode phase --step <X.Y>  # detailed guide for a workflow step

Phase Index

Phase 1: Plan    → figure out what to do (brainstorm + research → prd.md)
Phase 2: Execute → write code and pass quality checks
Phase 3: Finish  → distill lessons + wrap-up

Phase 1: Plan

  • 1.0 Create task [required · once]
  • 1.1 Requirement exploration [required · repeatable]
  • 1.2 Research [optional · repeatable]
  • 1.3 Configure context [required · once] — Claude Code, Cursor, OpenCode, Codex, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid
  • 1.4 Completion criteria

Phase 2: Execute

  • 2.1 Implement [required · repeatable]
  • 2.2 Quality check [required · repeatable]
  • 2.3 Rollback [on demand]

Phase 3: Finish

  • 3.1 Quality verification [required · repeatable]
  • 3.2 Debug retrospective [on demand]
  • 3.3 Spec update [required · once]
  • 3.4 Wrap-up reminder

Rules

  1. Identify which Phase you're in, then continue from the next step there
  2. Run steps in order inside each Phase; [required] steps can't be skipped
  3. Phases can roll back (e.g., Execute reveals a prd defect → return to Plan to fix, then re-enter Execute)
  4. Steps tagged [once] are skipped if already done; don't re-run

Skill Routing

When a user request matches one of these intents, load the corresponding skill (or dispatch the corresponding sub-agent) first — do not skip skills.

[Claude Code, Cursor, OpenCode, Codex, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid]

User intent Route
Wants a new feature / requirement unclear trellis-brainstorm
About to write code / start implementing Dispatch the trellis-implement sub-agent per Phase 2.1
Finished writing / want to verify Dispatch the trellis-check sub-agent per Phase 2.2
Stuck / fixed same bug several times trellis-break-loop
Spec needs update trellis-update-spec

Why trellis-before-dev is NOT in this table: you are not the one writing code — the trellis-implement sub-agent is. Sub-agent platforms get spec context via implement.jsonl injection / prelude, not via the main thread loading trellis-before-dev.

[/Claude Code, Cursor, OpenCode, Codex, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid]

[Kilo, Antigravity, Windsurf]

User intent Skill
Wants a new feature / requirement unclear trellis-brainstorm
About to write code / start implementing trellis-before-dev (then implement directly in the main session)
Finished writing / want to verify trellis-check
Stuck / fixed same bug several times trellis-break-loop
Spec needs update trellis-update-spec

[/Kilo, Antigravity, Windsurf]

DO NOT skip skills

[Claude Code, Cursor, OpenCode, Codex, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid]

What you're thinking Why it's wrong
"This is simple, I'll just code it in the main thread" Dispatching trellis-implement is the cheap path; skipping it tempts you to write code in the main thread and lose spec context — sub-agents get implement.jsonl injected, you don't
"I already thought it through in plan mode" Plan-mode output lives in memory — sub-agents can't see it; must be persisted to prd.md
"I already know the spec" The spec may have been updated since you last read it; the sub-agent gets the fresh copy, you may not
"Code first, check later" trellis-check surfaces issues you won't notice yourself; earlier is cheaper

[/Claude Code, Cursor, OpenCode, Codex, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid]

[Kilo, Antigravity, Windsurf]

What you're thinking Why it's wrong
"This is simple, just code it" Simple tasks often grow complex; trellis-before-dev takes under a minute and loads the spec context you'll need
"I already thought it through in plan mode" Plan-mode output lives in memory — must be persisted to prd.md before code
"I already know the spec" The spec may have been updated since you last read it; read again
"Code first, check later" trellis-check surfaces issues you won't notice yourself; earlier is cheaper

[/Kilo, Antigravity, Windsurf]

Loading Step Detail

At each step, run this to fetch detailed guidance:

python3 ./.trellis/scripts/get_context.py --mode phase --step <step>
# e.g. python3 ./.trellis/scripts/get_context.py --mode phase --step 1.1

Phase 1: Plan

Goal: figure out what to build, produce a clear requirements doc and the context needed to implement it.

1.0 Create task [required · once]

Create the task directory and set it as current:

python3 ./.trellis/scripts/task.py create "<task title>" --slug <name>
python3 ./.trellis/scripts/task.py start <task-dir>

Skip when: .trellis/.current-task already points to a task.

1.1 Requirement exploration [required · repeatable]

Load the trellis-brainstorm skill and explore requirements interactively with the user per the skill's guidance.

The brainstorm skill will guide you to:

  • Ask one question at a time
  • Prefer researching over asking the user
  • Prefer offering options over open-ended questions
  • Update prd.md immediately after each user answer

Return to this step whenever requirements change and revise prd.md.

1.2 Research [optional · repeatable]

Research can happen at any time during requirement exploration. It isn't limited to local code — you can use any available tool (MCP servers, skills, web search, etc.) to look up external information, including third-party library docs, industry practices, API references, etc.

[Claude Code, Cursor, OpenCode, Codex, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid]

Spawn the research sub-agent:

  • Agent type: trellis-research
  • Task description: Research
  • Key requirement: Research output MUST be persisted to {TASK_DIR}/research/

[/Claude Code, Cursor, OpenCode, Codex, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid]

[Kilo, Antigravity, Windsurf]

Do the research in the main session directly and write findings into {TASK_DIR}/research/.

[/Kilo, Antigravity, Windsurf]

Research artifact conventions:

  • One file per research topic (e.g. research/auth-library-comparison.md)
  • Record third-party library usage examples, API references, version constraints in files
  • Note relevant spec file paths you discovered for later reference

Brainstorm and research can interleave freely — pause to research a technical question, then return to talk with the user.

Key principle: Research output must be written to files, not left only in the chat. Conversations get compacted; files don't.

1.3 Configure context [required · once]

[Claude Code, Cursor, OpenCode, Codex, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid]

Curate implement.jsonl and check.jsonl so the Phase 2 sub-agents get the right spec context. These files were seeded on task create with a single self-describing _example line; your job here is to fill in real entries.

Location: {TASK_DIR}/implement.jsonl and {TASK_DIR}/check.jsonl (already exist).

Format: one JSON object per line — {"file": "<path>", "reason": "<why>"}. Paths are repo-root relative.

What to put in:

  • Spec files.trellis/spec/<package>/<layer>/index.md and any specific guideline files (error-handling.md, conventions.md, etc.) relevant to this task
  • Research files{TASK_DIR}/research/*.md that the sub-agent will need to consult

What NOT to put in:

  • Code files (src/**, packages/**/*.ts, etc.) — those are read by the sub-agent during implementation, not pre-registered here
  • Files you're about to modify — same reason

Split between the two files:

  • implement.jsonl → specs + research the implement sub-agent needs to write code correctly
  • check.jsonl → specs for the check sub-agent (quality guidelines, check conventions, same research if needed)

How to discover relevant specs:

python3 ./.trellis/scripts/get_context.py --mode packages

Lists every package + its spec layers with paths. Pick the entries that match this task's domain.

How to append entries:

Either edit the jsonl file directly in your editor, or use:

python3 ./.trellis/scripts/task.py add-context "$TASK_DIR" implement "<path>" "<reason>"
python3 ./.trellis/scripts/task.py add-context "$TASK_DIR" check "<path>" "<reason>"

Delete the seed _example line once real entries exist (optional — it's skipped automatically by consumers).

Skip when: implement.jsonl has agent-curated entries (the seed row alone doesn't count).

[/Claude Code, Cursor, OpenCode, Codex, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid]

[Kilo, Antigravity, Windsurf]

Skip this step. Context is loaded directly by the trellis-before-dev skill in Phase 2.

[/Kilo, Antigravity, Windsurf]

1.4 Completion criteria

Condition Required
prd.md exists
User confirms requirements
research/ has artifacts (complex tasks) recommended
info.md technical design (complex tasks) optional

[Claude Code, Cursor, OpenCode, Codex, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid]

| implement.jsonl has agent-curated entries (not just the seed row) | |

[/Claude Code, Cursor, OpenCode, Codex, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid]


Phase 2: Execute

Goal: turn the prd into code that passes quality checks.

2.1 Implement [required · repeatable]

[Claude Code, Cursor, OpenCode, Gemini, Qoder, CodeBuddy, Copilot, Droid]

Spawn the implement sub-agent:

  • Agent type: trellis-implement
  • Task description: Implement the requirements per prd.md, consulting materials under {TASK_DIR}/research/; finish by running project lint and type-check

The platform hook/plugin auto-handles:

  • Reads implement.jsonl and injects the referenced spec files into the agent prompt
  • Injects prd.md content

[/Claude Code, Cursor, OpenCode, Gemini, Qoder, CodeBuddy, Copilot, Droid]

[Codex]

Spawn the implement sub-agent:

  • Agent type: trellis-implement
  • Task description: Implement the requirements per prd.md, consulting materials under {TASK_DIR}/research/; finish by running project lint and type-check

The Codex sub-agent definition auto-handles the context load requirement:

  • Reads .trellis/.current-task, prd.md, and info.md if present
  • Reads implement.jsonl and requires the agent to load each referenced spec file before coding

[/Codex]

[Kiro]

Spawn the implement sub-agent:

  • Agent type: trellis-implement
  • Task description: Implement the requirements per prd.md, consulting materials under {TASK_DIR}/research/; finish by running project lint and type-check

The platform prelude auto-handles the context load requirement:

  • Reads implement.jsonl and injects the referenced spec files into the agent prompt
  • Injects prd.md content

[/Kiro]

[Kilo, Antigravity, Windsurf]

  1. Load the trellis-before-dev skill to read project guidelines
  2. Read {TASK_DIR}/prd.md for requirements
  3. Consult materials under {TASK_DIR}/research/
  4. Implement the code per requirements
  5. Run project lint and type-check

[/Kilo, Antigravity, Windsurf]

2.2 Quality check [required · repeatable]

[Claude Code, Cursor, OpenCode, Codex, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid]

Spawn the check sub-agent:

  • Agent type: trellis-check
  • Task description: Review all code changes against spec and prd; fix any findings directly; ensure lint and type-check pass

The check agent's job:

  • Review code changes against specs
  • Auto-fix issues it finds
  • Run lint and typecheck to verify

[/Claude Code, Cursor, OpenCode, Codex, Kiro, Gemini, Qoder, CodeBuddy, Copilot, Droid]

[Kilo, Antigravity, Windsurf]

Load the trellis-check skill and verify the code per its guidance:

  • Spec compliance
  • lint / type-check / tests
  • Cross-layer consistency (when changes span layers)

If issues are found → fix → re-check, until green.

[/Kilo, Antigravity, Windsurf]

2.3 Rollback [on demand]

  • check reveals a prd defect → return to Phase 1, fix prd.md, then redo 2.1
  • Implementation went wrong → revert code, redo 2.1
  • Need more research → research (same as Phase 1.2), write findings into research/

Phase 3: Finish

Goal: ensure code quality, capture lessons, record the work.

3.1 Quality verification [required · repeatable]

Load the trellis-check skill and do a final verification:

  • Spec compliance
  • lint / type-check / tests
  • Cross-layer consistency (when changes span layers)

If issues are found → fix → re-check, until green.

3.2 Debug retrospective [on demand]

If this task involved repeated debugging (the same issue was fixed multiple times), load the trellis-break-loop skill to:

  • Classify the root cause
  • Explain why earlier fixes failed
  • Propose prevention

The goal is to capture debugging lessons so the same class of issue doesn't recur.

3.3 Spec update [required · once]

Load the trellis-update-spec skill and review whether this task produced new knowledge worth recording:

  • Newly discovered patterns or conventions
  • Pitfalls you hit
  • New technical decisions

Update the docs under .trellis/spec/ accordingly. Even if the conclusion is "nothing to update", walk through the judgment.

3.4 Wrap-up reminder

After the above, remind the user they can run /finish-work to wrap up (archive the task, record the session).


Workflow State Breadcrumbs

[workflow-state:no_task] No active task. Trigger words in the user message that REQUIRE creating a task (non-negotiable, do NOT self-exempt): 重构 / 抽成 / 独立 / 分发 / 拆出来 / 搞一个 / 做成 / 接入 / 集成 / refactor / rewrite / extract / productize / publish / build X / design Y. Task is NOT required ONLY if ALL three hold: (a) zero file writes this turn, (b) answer fits in one reply with no multi-round plan, (c) no research beyond reading 1-2 repo files. When in doubt: create task. Over-tasking is cheap; under-tasking leaks plans and research into main context. Flow: load trellis-brainstorm skill → it creates the task via python3 ./.trellis/scripts/task.py create and drives requirements Q&A. For research-heavy work (tool comparison, docs, cross-platform survey), spawn trellis-research sub-agents via Task tool — NEVER do 3+ inline WebFetch/WebSearch/gh api calls in the main conversation. [/workflow-state:no_task]

[workflow-state:planning] Complete prd.md via trellis-brainstorm skill; then run task.py start. Research belongs in {task_dir}/research/*.md, written by trellis-research sub-agents. Do NOT inline WebFetch/WebSearch in main session — PRD only links to research files. [/workflow-state:planning]

[workflow-state:in_progress] Flow: trellis-implement → trellis-check → trellis-update-spec → finish Next required action: inspect conversation history + git status, then execute the next uncompleted step in that sequence. For agent-capable platforms, do NOT edit code in the main session; dispatch trellis-implement for implementation and dispatch trellis-check before reporting completion. [/workflow-state:in_progress]

[workflow-state:completed] User commits changes; then run task.py archive. [/workflow-state:completed]