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eryao/.claude/skills/trellis-meta/references/platform-files/skills-and-commands.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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Skills, Commands, Prompts, And Workflows

Skills and commands are textual entry points for user interaction with Trellis. Different platforms use different names, but their core purpose is the same: tell the AI how to enter the Trellis flow when the user expresses a certain intent.

Conceptual Differences

Type Trigger mode Best for
skill AI auto-match or explicit user mention Long-term capabilities, workflow rules, modification guides.
command Explicit user invocation Clear operation entry points such as continue and finish-work.
prompt Explicit user invocation or platform selection Similar to command, but in a platform prompt format.
workflow Explicit user selection or platform auto-match Guides the main session when no sub-agent/hook exists.

Trellis workflow skills usually share one semantic set: brainstorm, before-dev, check, update-spec, break-loop. Multi-file built-in skills such as trellis-meta use layered references.

Common Paths

Platform Common entries
Claude Code .claude/skills/, .claude/commands/
Cursor .cursor/skills/, .cursor/commands/
OpenCode .opencode/skills/, .opencode/commands/
Codex .agents/skills/, .codex/skills/
Kilo .kilocode/skills/, .kilocode/workflows/
Kiro .kiro/skills/
Gemini CLI .agents/skills/, .gemini/commands/
Antigravity .agent/skills/, .agent/workflows/
Windsurf .windsurf/skills/, .windsurf/workflows/
Qoder .qoder/skills/, .qoder/commands/
CodeBuddy .codebuddy/skills/, .codebuddy/commands/
GitHub Copilot .github/skills/, .github/prompts/
Factory Droid .factory/skills/, .factory/commands/
Pi Agent .pi/skills/

In a user project, use the files actually generated by init as authoritative.

Skill Structure

A common skill is a directory:

trellis-meta/
├── SKILL.md
└── references/

SKILL.md should tell the AI:

  • When to use this skill.
  • Which reference to read first for the current task.
  • What not to do.

References hold longer explanations so the entry file does not contain everything.

Command/Prompt/Workflow Structure

Commands, prompts, and workflows are usually single files. Their content should include:

  • When to use it.
  • Which .trellis/ files to read.
  • Which scripts to run.
  • How to report after completion.

They should not store task state; task state belongs in .trellis/tasks/ and .trellis/.runtime/.

Local Change Scenarios

User need Edit location
Change AI auto-trigger rules The corresponding skill's frontmatter description.
Change user command behavior The corresponding command/prompt/workflow file.
Add a project-local skill Platform skill directory, or shared .agents/skills/.
Let multiple platforms share one capability Write equivalent skills in each platform skill directory, or use the .agents/skills/ shared layer on platforms that support it.
Change finish/continue entry points Platform commands/prompts/workflows.

Modification Principles

  1. Keep entry files short; references carry long content. This matters especially for multi-file skills like trellis-meta.
  2. Make trigger descriptions specific. A description that is too broad can mis-trigger; one that is too narrow may not trigger.
  3. Keep the same semantics consistent across platforms. File formats can differ, but behavior descriptions should match.
  4. Put project-specific capabilities in local skills. Do not put team-private flows into public trellis-meta.

If the user only wants local AI to know one more project rule, usually create a project-local skill or update .trellis/spec/ instead of changing a Trellis built-in workflow skill.