# Adaptive Enforcement Lab Claude Skills Matrix Distribution

> Matrix Distribution

- Skill: `tomevault-io/adaptive-enforcement-lab-claude-skills-matrix-distribution` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/adaptive-enforcement-lab-claude-skills-matrix-distribution`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/adaptive-enforcement-lab-claude-skills-matrix-distribution/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/adaptive-enforcement-lab-claude-skills-matrix-distribution

---


# Matrix Distribution

## When to Use This Skill

> **Poor Fit**
>
>
> - Sequential operations where order matters
> - Operations with shared state between targets
> - When total job count would exceed GitHub Actions limits (256)
>

---


## Implementation

### Dynamic Matrix

Generate the target list in a discovery stage:


*See [examples.md](examples.md) for detailed code examples.*

### Failure Isolation

Prevent one failure from canceling other jobs:

```yaml
strategy:
  matrix:
    target: ${{ fromJson(needs.discover.outputs.targets) }}
  fail-fast: false  # Critical: continue processing other targets
```

### Rate Limiting

Control concurrency to avoid API rate limits:

```yaml
strategy:
  matrix:
    target: ${{ fromJson(needs.discover.outputs.targets) }}
  max-parallel: 10  # Limit concurrent jobs
```

---


## Examples

See [examples.md](examples.md) for code examples.
## References

- [Source Documentation](https://adaptive-enforcement-lab.com/patterns/architecture/)
- [AEL Patterns](https://adaptive-enforcement-lab.com/patterns/)

---
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<!-- tomevault:4.0:skill_md:2026-04-15 -->