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trace-to-training-data

#480 of 2101 by wshobson
64 score

Convert evaluation traces and production logs into SFT examples and preference pairs. Use when graded traces or failure examples exist and need to become…

Ranked #480 out of 2101 indexed tools.Has 40,016 GitHub stars.Has 84 contributors.Actively maintained with commits in the last week.
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Signal Breakdown

Installs 2
Freshness 1d ago
Issue Health 94%
Stars 40,016
Platform Breadth 10 platforms
Contributors 84
Description Detailed

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Supported Platforms

AMPCursorClaude CodeCodexGitHub CopilotWindsurfGeminiClineAntigravityClawdBot

From the README

# Agentic Plugin Marketplace

> Production-ready agentic workflow building blocks: **94 plugins**, **202 agents**,
> **183 skills**, **105 commands** — built for Claude Code and consumed natively by
> OpenAI Codex CLI, Cursor, OpenCode, the Antigravity CLI, GitHub Copilot, and Pi from a single Markdown source.

      

> [!NOTE]
> One source-of-truth (`plugins/`), six target harnesses. Each harness gets idiomatic,
> harness-native artifacts — not lowest-common-denominator translations.
> See [docs/harnesses.md](docs/harnesses.md) for the capability matrix.

## Quick start

Pick your harness:

### Claude Code

```bash
/plugin marketplace add wshobson/agents
/plugin install python-development          # or any of 94 plugins
```

[→ Full Claude Code setup, troubleshooting, and plugin catalog](docs/usage.md)

### Codex CLI · Cursor · OpenCode · Antigravity CLI · Copilot · Pi

Codex and Cursor install natively from the committed registries (which point at the source `plugins/`):

```bash
np
Read full README on GitHub →