Compare · Agent Infrastructure
author-contributions vs brand-extract
Which agent infrastructure piece is right for you?
Notable score gap. brand-extract scores meaningfully higher; see individual reviews for nuance.
01 — TL;DR
If you need output specificity above all else, pick brand-extract (4.3/5). author-contributions (3.2/5) is a reasonable alternative if you're already in its source ecosystem. They overlap in agent infrastructure piece territory.
Side by side
3.2/5
4.3/5
Where they differ
- Trigger clarity. trigger clarity: author-contributions and brand-extract score essentially the same (4.5 vs 4.5). Neither has an edge here.
- Output specificity. output specificity: brand-extract is clearly stronger (4.0 vs 4.5). For workloads where this dimension matters, prefer brand-extract.
- Scope precision. scope precision: author-contributions and brand-extract score essentially the same (4.5 vs 4.5). Neither has an edge here.
- Self-containment. self-containment: author-contributions and brand-extract score essentially the same (4.0 vs 4.0). Neither has an edge here.
- Reusability. reusability: author-contributions and brand-extract score essentially the same (3.5 vs 3.5). Neither has an edge here.
Which to pick
When to choose author-contributions
- You weight community adoption — author-contributions's upstream repo has 185,014 stars vs 73,412.
- The agent infrastructure piece convention you're working in matches author-contributions's scope.
When to choose brand-extract
- Your workload emphasizes output specificity — brand-extract scores 4.0 vs 4.5 here.
- The agent infrastructure piece convention you're working in matches brand-extract's scope.
Scenario by scenario
| Scenario | Winner | Why |
|---|---|---|
| Agent must auto-select between many agent infrastructure pieces | either | Trigger clarity decides — clearer triggers reduce routing errors. |
| Output must be a specific file format or structured data | brand-extract | Output specificity determines whether downstream tools can rely on the result. |
| Skill must be readable and complete out of the box | either | Self-containment matters when you're not the original author. |
| Cross-team or cross-project reuse expected | either | Reusability separates one-off scripts from durable building blocks. |
Common questions
- Which is better, author-contributions or brand-extract?
- brand-extract ranks higher overall (4.3 vs 3.2 on our 0–5 rubric). That said, the better choice depends on which dimensions matter most for your use case.
- Are author-contributions and brand-extract both free to use?
- Both skills are free and open-source (or freely licensed). author-contributions: See source repo. brand-extract: See source repo. Installation has no cost; usage costs depend on the underlying LLM tokens consumed when you invoke the skill.
- Can I install both author-contributions and brand-extract at the same time?
- Yes. Agent skills are not exclusive — an agent runtime (Claude Code, Codex, etc.) can have many skills installed and route to whichever matches the current task. Installing both is a low-cost way to keep your options open.
- Where do these skills come from?
- author-contributions is sourced from skillsmp.com (curated marketplace). brand-extract is sourced from skillsmp.com (curated marketplace). We verify each skill across multiple sources where possible; author-contributions appears in 1 source, brand-extract in 1.