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
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Install
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.
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About
Use cases: design, devops, ml, productivity
Reviews
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Permissions
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
- None found
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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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- 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)