Collaborative code review using Agent Teams where reviewers discuss findings, challenge each other, and converge on a unified assessment. Evolves dm-work:review from isolated parallel reviewers to a review team.
Conducts collaborative code reviews using specialized agents who debate findings and produce unified assessments.
npx claudepluginhub rbergman/dark-matter-marketplaceThis skill inherits all available tools. When active, it can use any tool Claude has access to.
Team-based collaborative code review using Agent Teams.
Current /dm-work:review spawns 3 isolated subagents that report back independently. Findings may conflict, duplicate, or miss connections between concerns. With Agent Teams, reviewers can:
| Role | Teammate | Model | Skills to inject |
|---|---|---|---|
| Architecture | Teammate 1 | opus | dm-arch:solid-architecture, dm-arch:data-oriented-architecture |
| Code Quality | Teammate 2 | opus | Language-specific dm-lang:*-pro skill |
| Security | Teammate 3 | opus | (none — general security knowledge) |
| Lead | You | opus | Synthesis and final assessment |
Code reviewer may split by domain (same as dm-work:review) for large reviews.
Still uses a haiku Explore subagent (not a teammate — too small for team overhead). Scout categorizes files, detects patterns, identifies hotspots, splits review domains.
Compatible with dm-work:review:
## Review: <scope> (<N> commits, <LOC> across <M> files)
### Verdict: <emoji> <summary>
**Critical** (<count>)
1. `file:line` - <description> [Consensus: arch+security agreed]
**High** (<count>)
...
**Architecture**: <verdict + summary>
**Code Quality**: <verdict + summary>
**Security**: <verdict + summary>
### Review Discussion Notes
[Key debates between reviewers and resolutions]
New addition: "Review Discussion Notes" section captures inter-reviewer debates and resolutions — this is the unique value of team review over subagent review.
--pr N for PR mode (GitHub review comments)--commits <range> for explicit scope--only <acs> to filter reviewer types--min-severity <level> to filter output--skip-beads for local mode without bead creationCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
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