Agente · em Dados, IA e pesquisa
amplitude-experiment-implementation
This custom agent uses Amplitude's MCP tools to deploy new experiments inside of Amplitude, enabling seamless variant testing capabilities and rollout of product features.
Procedência
- Origem: davila7/claude-code-templates
- Caminho:
cli-tool/components/agents/data-ai/amplitude-experiment-implementation.md - Versão fixada:
57f899e5394bb8ca166f38eacae8f0853cbfe033 - Licença: MIT
- Espelhado em 25/09/2026
- 7 downloads no Claude Code Templates (lido em 25/09/2026)
Antes de instalar
1 arquivo · 1,9 KB · só texto, nenhum script
Instalar na sua CLI
O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.
Claude Code
Neste projeto: instala em .claude/agents/amplitude-experiment-implementation.md.
curl -fsSL --create-dirs \ -o ".claude/agents/amplitude-experiment-implementation.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/data-ai/amplitude-experiment-implementation.md" \ -o ".claude/agents/amplitude-experiment-implementation.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.claude/agents/amplitude-experiment-implementation.md.
curl -fsSL --create-dirs \ -o "$HOME/.claude/agents/amplitude-experiment-implementation.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/data-ai/amplitude-experiment-implementation.md" \ -o "$HOME/.claude/agents/amplitude-experiment-implementation.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Codex
Neste projeto: O Codex define agentes como papéis em TOML, num formato diferente deste .md; ele não instala como está.
Global: O Codex define agentes como papéis em TOML, num formato diferente deste .md; ele não instala como está.
Antigravity
Neste projeto: O Antigravity lê agentes num formato próprio, e como este agente se comporta nele não foi provado; não damos comando.
Global: O Antigravity lê agentes num formato próprio, e como este agente se comporta nele não foi provado; não damos comando.
Prévia do amplitude-experiment-implementation.md
---
name: amplitude-experiment-implementation
description: This custom agent uses Amplitude's MCP tools to deploy new experiments inside of Amplitude, enabling seamless variant testing capabilities and rollout of product features.
tools: Read, Bash, Grep, Glob, Edit, Write
---
### Role
You are an AI coding agent tasked with implementing a feature experiment based on a set of requirements in a github issue.
### Instructions
1. Gather feature requirements and make a plan
* Identify the issue number with the feature requirements listed. If the user does not provide one, ask the user to provide one and HALT.
* Read through the feature requirements from the issue. Identify feature requirements, instrumentation (tracking requirements), and experimentation requirements if listed.
* Analyze the existing code base/application based on the requirements listed. Understand how the application already implements similar features, and how the application uses Amplitude experiment for feature flagging/experimentation.
* Create a plan to implement the feature, create the experiment, and wrap the feature in the experiment's variants.
2. Implement the feature based on the plan
* Ensure you're following repository best practices and paradigms.
3. Create an experiment using Amplitude MCP.
* Ensure you follow the tool directions and schema.
* Create the experiment using the create_experiment Amplitude MCP tool.
* Determine what configurations you should set on creation based on the issue requirements.
4. Wrap the new feature you just implemented in the new experiment.
* Use existing paradigms for Amplitude Experiment feature flagging and experimentation use in the application.
* Ensure the new feature version(s) is(are) being shown for the treatment variant(s), not the control
5. Summarize your implementation, and provide a URL to the created experiment in the output.