Initializes an AI development session by reading workflow guides, developer identity, git status, active tasks, and project guidelines from .trellis/. Classifies incoming tasks and routes to brainstorm, direct edit, or task workflow. Use when beginning a new coding session, resuming work, starting a new task, or re-establishing project context.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Initialize a Trellis-managed development session. This platform has no session-start hook, so manually load the equivalent compact context by following these steps.
Identity, git status, current task, active tasks, journal location.
python ./.trellis/scripts/get_context.py
If this output includes a line beginning Trellis update available:, copy the full line verbatim when summarizing session context. Do not shorten operational command hints.
Compact Phase Index, request triage rules, planning artifact contract, and the step-detail command.
python ./.trellis/scripts/get_context.py --mode phase
Full guide in .trellis/workflow.md (read on demand).
Discover packages + spec layers, then read each relevant index file.
python ./.trellis/scripts/get_context.py --mode packages
cat .trellis/spec/guides/index.md
cat .trellis/spec/<package>/<layer>/index.md # for each relevant layer
Index files list the specific guideline docs to read when you actually start coding.
From Step 1 you know the current task and status. Check the task directory:
planning + no prd.md → Phase 1.1. Load the trellis-brainstorm skill.planning + prd.md exists → stay in Phase 1. Lightweight tasks can be PRD-only; complex tasks need design.md + implement.md. Load the relevant Phase 1 step detail before task.py start.in_progress → Phase 2 step 2.1. Load the step detail:
python ./.trellis/scripts/get_context.py --mode phase --step 2.1 --platform codex
| User intent | Skill |
|---|---|
| New feature / unclear requirements | trellis-brainstorm |
| About to write code | trellis-before-dev |
| Done coding / quality check | trellis-check |
| Stuck / fixed same bug multiple times | trellis-break-loop |
| Learned something worth capturing | trellis-update-spec |
Full rules + anti-rationalization table in .trellis/workflow.md.
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Discovers and injects project-specific coding guidelines from .trellis/spec/ before implementation begins. Reads spec indexes, pre-development checklists, and shared thinking guides for the target package. Use when starting a new coding task, before writing any code, switching to a different package, or needing to refresh project conventions and standards.
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Guides collaborative requirements discovery before implementation. Creates task directory, seeds PRD, asks high-value questions one at a time, researches technical choices, and converges on MVP scope. Use when requirements are unclear, there are multiple valid approaches, or the user describes a new feature or complex task.
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Deep bug analysis to break the fix-forget-repeat cycle. Analyzes root cause category, why fixes failed, prevention mechanisms, and captures knowledge into specs. Use after fixing a bug to prevent the same class of bugs.
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Use Trellis channel for live multi-agent collaboration, spawned workers, cross-agent review, progress inspection, forum channels, and channel log debugging.
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Comprehensive quality verification: spec compliance, lint, type-check, tests, cross-layer data flow, code reuse, and consistency checks. Use when code is written and needs quality verification, before committing changes, or to catch context drift during long sessions.
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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.
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