Bootstrap project-specific Trellis coding specs with a platform-neutral single-agent workflow. Use when creating or refreshing .trellis/spec guidelines, analyzing a codebase with GitNexus, ABCoder, or source inspection, decomposing package/layer spec work, and writing real codebase-backed spec docs without placeholder text.
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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。
Use this skill to create or refresh .trellis/spec/ guidelines from the real codebase. One capable agent owns the full loop: analyze the repository, choose the spec boundaries, write the docs, and verify the result. The workflow does not depend on a specific host, CLI, or agent brand.
.trellis/spec/ tree.| Need | Read |
|---|---|
| Repository architecture analysis | references/repository-analysis.md |
| Spec work decomposition and task planning | references/spec-task-planning.md |
| Writing high-signal Trellis spec files | references/spec-writing.md |
| GitNexus and ABCoder MCP setup | references/mcp-setup.md |
.trellis/spec/..trellis/spec/ describes the project as it exists now.index.md files match the final spec file set.还没有评价。欢迎分享你的使用感受。
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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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