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evaluate-with-braintrust

Evaluates LLM and agent products with Braintrust—offline/online evals, SDK/CI workflows, eval platform design, Zapier/Notion product ops, and Loop-style…

Skill by hiteshbandhu

IndexedMIT★ 2
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/hiteshbandhu-evaluate-with-braintrust

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About

Evaluates LLM and agent products with Braintrust—offline/online evals, SDK/CI workflows, eval platform design, Zapier/Notion product ops, and Loop-style optimization. Use when the user mentions Braintrust, eval playground, autoevals, production log evals, or agent quality platforms.

Use cases: design, devops, ml, productivity

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/evaluate-with-braintrust

What's inside

Skill name
evaluate-with-braintrust
Description
Evaluates LLM and agent products with Braintrust—offline/online evals, SDK/CI workflows, eval platform design, Zapier/Notion product ops, and Loop-style optimization. Use when the user mentions Braintrust, eval playground, autoevals, production log evals, or agent quality platforms.
License
MIT
Instructions
54 lines in SKILL.md · view on GitHub

Files (4)

  • README.md
  • SKILL.md
  • source-index.md
  • workflows.md

SKILL.md (first lines)

# Evaluate with Braintrust

Action playbook from seven Braintrust @ AI Engineer talks. **Do not summarize** — pick a workflow.

**Supporting files:** [workflows.md](workflows.md) · [source-index.md](source-index.md)

Related skill: `run-llm-evals` (cross-vendor eval theory).

Optional: `./skill-outputs/evaluate-with-braintrust/`

---

## Step 0 — Pick workflow

```
What is the user trying to do?
├─ Eval fundamentals (datasets, scorers, modes)        → evals-101
├─ Build/buy eval platform architecture                → platform-design
├─ Five lessons / future of evals (velocity, Loop)     → eval-ops
├─ Zapier-style product + eval integration             → product-ops
├─ Notion-class world-class AI quality bar             → world-class-products
└─ Complex app workshop (Trainline patterns)           → complex-apps
```

---

## Install

```bash
cp -r skills/evaluate-with-braintrust ~/.cursor/skills/
cp -r skills/evaluate-with-braintrust ~/.codex/skills/
```

Source: `playlists/braintrust-ai-engineer/`.

---

## Cross-cutting rules

| Rule | Source |
|------|--------|
| Eval = data + task + scorers; offline and online | [src-001 @ 0:07:12] |
| Prod logs must feed datasets and online evals | [src-001 @ 0:13:13] |
| Unify offline experiments with trace replay | [src-002 @ 0:14:15] |
| 24h model swaps when evals healthy (Notion bar) | [src-003 @ 0:40] |
| Human-in-loop on Loop optimizations | [src-004 @ 0:03:33] |

---

## Output

Name workflow; artifacts under `./skill-outputs/evaluate-with-braintrust/` when requested.

From hiteshbandhu/skills-i-use, MIT.

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Last commit (this folder)
May 25, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
Repository
github.com/hiteshbandhu/skills-i-use
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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evaluate-with-braintrust skill. Agent Mart. https://agentmart.dev/skills/hiteshbandhu-evaluate-with-braintrust (last updated 2026-10-24)