⚠️ Version Mismatch Warning: If your Trellis CLI version differs from above, some features may not work as documented. Run trellis --version to check.
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontrellis-metaExecute the skills CLI command in your project's root directory to begin installation:
Fetches trellis-meta from mindfold-ai/trellis and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate trellis-meta. Access via /trellis-meta in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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| Item | Value |
|---|---|
| Trellis CLI Version | 0.4.0-beta.8 |
| Skill Last Updated | 2026-03-24 |
| Min Claude Code Version | 1.0.0+ |
| Min Node.js Version | >=18.17.0 |
⚠️ Version Mismatch Warning: If your Trellis CLI version differs from above, some features may not work as documented. Run
trellis --versionto check.
| Feature | Claude Code | iFlow | Cursor | OpenCode | Codex | Kilo | Kiro | Gemini CLI | Antigravity | Qoder | CodeBuddy |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Core Systems | |||||||||||
| Workspace system | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full |
| Task system | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full |
| Spec system | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Full |
| Commands/Skills | ✅ Full | ✅ Full | ✅ Full | ✅ Full | ✅ Skills | ✅ Full | ✅ Skills | ✅ TOML | ✅ Workflows | ✅ Skills | ✅ Full |
| Agent definitions | ✅ Full | ✅ Full | ⚠️ Manual | ✅ Full | ✅ TOML | ⚠️ Manual | ⚠️ Manual | ⚠️ Manual | ⚠️ Manual | ⚠️ Manual | ⚠️ Manual |
| Shared agent skills | — | — | — | — | ✅ Full | — | — | — | — | — | — |
| Hook-Dependent Features | |||||||||||
| SessionStart hook | ✅ Full | ✅ Full | ❌ None | ❌ None | ⚠️ Optional | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None |
| PreToolUse hook | ✅ Full | ✅ Full | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None |
| SubagentStop hook | ✅ Full | ✅ Full | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None |
| Auto context injection | ✅ Full | ✅ Full | ❌ Manual | ❌ Manual | ❌ Manual | ❌ Manual | ❌ Manual | ❌ Manual | ❌ Manual | ❌ Manual | ❌ Manual |
| Ralph Loop | ✅ Full | ✅ Full | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None |
| Multi-Agent/Session | |||||||||||
| Multi-Agent (current dir) | ✅ Full | ✅ Full | ⚠️ Limited | ⚠️ Limited | ⚠️ Limited | ⚠️ Limited | ⚠️ Limited | ⚠️ Limited | ⚠️ Limited | ⚠️ Limited | ⚠️ Limited |
| Multi-Session (worktrees) | ✅ Full | ✅ Full | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None | ❌ None |
All features work as documented. Hooks provide automatic context injection and quality enforcement. iFlow shares the same Python hook system as Claude Code.
.codex/skills/ + .agents/skills/ shared layer), TOML agent definitions (.codex/agents/), optional SessionStart hookcodex_hooks = true in ~/.codex/config.tomlWhen customizing Trellis, consider platform compatibility:
┌─────────────────────────────────────────────────────────────┐
│ PORTABLE (All 11 Platforms) │
│ - .trellis/workspace/ - .trellis/tasks/ │
│ - .trellis/spec/ - Platform commands/skills │
│ - File-based configs - JSONL context files │
│ - config.yaml - Monorepo packages support │
└─────────────────────────────────────────────────────────────┘
│
┌─────────────────────────────▼───────────────────────────────┐
│ SHARED AGENT SKILLS (agentskills.io standard) │
│ - .agents/skills/ (Codex + universal agent CLIs) │
└─────────────────────────────┬───────────────────────────────┘
│
┌─────────────────────────────▼───────────────────────────────┐
│ HOOK-CAPABLE (Claude Code + iFlow) │
│ - .claude/hooks/ or .iflow/hooks/ │
│ - settings.json hook configuration │
│ - Auto context injection - SubagentStop control │
│ - Ralph Loop - Multi-Session worktrees │
│ - Task lifecycle hooks - Dynamic spec discovery │
└─────────────────────────────────────────────────────────────┘
This is the meta-skill for Trellis - it documents the original, unmodified Trellis system. When customizing Trellis for a specific project, record changes in a project-local skill (trellis-local), keeping this meta-skill as the authoritative reference for vanilla Trellis.
~/.claude/skills/
└── trellis-meta/ # THIS SKILL - Original Trellis documentation
# ⚠️ DO NOT MODIFY for project-specific changes
project/.claude/skills/
└── trellis-local/ # Project-specific customizations
# ✅ Record all modifications here
Why this separation?
trellis-local skill tracks ITS OWN modificationsWhen modifying Trellis for a project, follow this protocol:
# Look for project-local skill
ls -la .claude/skills/trellis-local/
If no trellis-local exists, create it:
mkdir -p .claude/skills/trellis-local
Then create .claude/skills/trellis-local/SKILL.md:
---
name: trellis-local
description: |
Project-specific Trellis customizations for [PROJECT_NAME].
This skill documents modifications made to the vanilla Trellis system
in this project. Inherits from trellis-meta for base documentation.
---
# Trellis Local - [PROJECT_NAME]
## Base Version
Trellis version: X.X.X (from package.json or trellis --version)
Date initialized: YYYY-MM-DD
## Customizations
### Commands Added
(none yet)
### Agents Modified
(none yet)
### Hooks Changed
(none yet)
### Specs Customized
(none yet)
### Workflow Changes
(none yet)
---
## Changelog
### YYYY-MM-DD
- Initial setup
When making ANY change to Trellis, update trellis-local/SKILL.md:
### Commands Added
#### /trellis:my-command
- **File**: `.claude/commands/trellis/my-command.md`
- **Purpose**: [what it does]
- **Added**: 2026-01-31
- **Why**: [reason for adding]
### Hooks Changed
#### inject-subagent-context.py
- **Change**: Added support for `my-agent` type
- **Lines modified**: 45-67
- **Date**: 2026-01-31
- **Why**: [reason]
The trellis-meta skill should ONLY be updated when:
Trellis transforms AI assistants into structured development partners through enforced context injection.
┌─────────────────────────────────────────────────────────────────────┐
│ USER INTERACTION │
│ /trellis:start /trellis:brainstorm /trellis:parallel │
│ /trellis:finish-work /trellis:before-dev /trellis:check │
└─────────────────────────────────┬───────────────────────────────────┘
│
┌─────────────────────────────────▼───────────────────────────────────┐
│ SKILLS LAYER │
│ .claude/commands/trellis/*.md (17 slash commands) │
│ .claude/agents/*.md (6 sub-agent definitions) │
│ .agents/skills/*/SKILL.md (shared agent skills layer) │
└─────────────────────────────────┬───────────────────────────────────┘
│
┌─────────────────────────────────▼───────────────────────────────────┐
│ HOOKS LAYER │
│ SessionStart → session-start.py (workflow + context + status) │
│ PreToolUse:Agent → inject-subagent-context.py (spec injection) │
│ SubagentStop → ralph-loop.py (quality enforcement) │
│ Task Lifecycle → config.yaml hooks (after_create/start/finish/ │
│ archive → e.g. Linear sync) │
└─────────────────────────────────┬───────────────────────────────────┘
│
┌─────────────────────────────────▼───────────────────────────────────┐
│ PERSISTENCE LAYER │
│ .trellis/workspace/ (journals, session history) │
│ .trellis/tasks/ (task tracking, context files, subtasks) │
│ .trellis/spec/ (coding guidelines, monorepo per-package) │
│ .trellis/config.yaml (packages, hooks, update.skip, spec_scope) │
└─────────────────────────────────────────────────────────────────────┘
| Principle | Description |
|---|---|
| Specs Injected, Not Remembered | Hooks enforce specs - agents always receive context |
| Read Before Write | Understand guidelines before writing code |
| Layered Context | Only relevant specs load (via JSONL files) |
| Human Commits | AI never commits - human validates first |
| Pure Dispatcher | Dispatch agent only orchestrates |
Track development progress across sessions with per-developer isolation.
.trellis/workspace/
├── index.md # Global overview
└── {developer}/ # Per-developer
├── index.md # Personal index (@@@auto markers)
└── journal-N.md # Session journals (max 2000 lines)
Key files: .trellis/.developer (identity), journals (session history)
Track work items with phase-based execution, parent-child subtasks, and lifecycle hooks.
.trellis/tasks/{MM-DD-slug}/
├── task.json # Metadata, phases, branch, subtasks
├── prd.md # Requirements
├── info.md # Technical design (optional)
├── implement.jsonl # Context for implement agent
├── check.jsonl # Context for check agent
├── debug.jsonl # Context for debug agent
├── research.jsonl # Context for research agent (optional)
└── cr.jsonl # Context for code review (optional)
Maintain coding standards that get injected to agents. Supports both single-repo and monorepo layouts.
# Single repo
.trellis/spec/
├── frontend/ # Frontend guidelines
├── backend/ # Backend guidelines
└── guides/ # Thinking guides
# Monorepo (per-package)
.trellis/spec/
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Keeps context tight: trellis-meta is the kind of skill you can hand to a new teammate without a long onboarding doc.
trellis-meta fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend trellis-meta for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
trellis-meta has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for trellis-meta matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in trellis-meta — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
trellis-meta has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend trellis-meta for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added trellis-meta from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in trellis-meta — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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