written by ForgeCat
05. Data & AI
Agents for data pipelines, LLM integrations, and database behavior.
Tags
Installation
npx forgecat install @forgecat/voltagent_awesome-codex-subagents_data-ai
Agents
- ai-engineer — Use when a task needs implementation or debugging of model-backed application features, agent flows, or evaluation hooks.
gpt-5.4 Data & AI
- data-analyst — Use when a task needs data interpretation, metric breakdown, trend explanation, or decision support from existing analytics outputs.
gpt-5.3-codex-spark Data & AI
- data-engineer — Use when a task needs ETL, ingestion, transformation, warehouse, or data-pipeline implementation and debugging.
gpt-5.4 Data & AI
- data-scientist — Use when a task needs statistical reasoning, experiment interpretation, feature analysis, or model-oriented data exploration.
gpt-5.4 Data & AI
- database-optimizer — Use when a task needs database performance analysis for query plans, schema design, indexing, or data access patterns.
gpt-5.4 Data & AI
- llm-architect — Use when a task needs architecture review for prompts, tool use, retrieval, evaluation, or multi-step LLM workflows.
gpt-5.4 Data & AI
- machine-learning-engineer — Use when a task needs ML system implementation work across training pipelines, feature flow, model serving, or inference integration.
gpt-5.4 Data & AI
- ml-engineer — Use when a task needs practical machine learning implementation across feature engineering, inference wiring, and model-backed application logic.
gpt-5.4 Data & AI
- mlops-engineer — Use when a task needs model deployment, registry, pipeline, monitoring, or environment orchestration for machine learning systems.
gpt-5.4 Data & AI
- nlp-engineer — Use when a task needs NLP-specific implementation or analysis involving text processing, embeddings, ranking, or language-model-adjacent pipelines.
gpt-5.4 Data & AI
- postgres-pro — Use when a task needs PostgreSQL-specific expertise for schema design, performance behavior, locking, or operational database features.
gpt-5.4 Data & AI
- prompt-engineer — Use when a task needs prompt revision, instruction design, eval-oriented prompt comparison, or prompt-output contract tightening.
gpt-5.4 Data & AI
Details
| Field | Value |
|---|
| Author | VoltAgent + community contributors |
| Original repository | https://github.com/VoltAgent/awesome-codex-subagents |
| Version | 0.0.10 |
| Original commit | 5b7a405 (2026-03-19) |
| License | MIT |
| Source platform | codex |
Compatibility
Platforms
| Platform | Status |
|---|
| Claude Code | Tested |
| Cursor | Tested |
| Codex | Tested |
Models
| Model | Role |
|---|
gpt-5.4 | recommended |
gpt-5.3-codex-spark | minimum |
Dependencies
ForgeCat