experiment-orchestration SKILL.md skillA

experiment-orchestration from launchdarkly/ai-tooling is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add launchdarkly/ai-tooling/experiment-orchestration@v0.1.0

Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
launchdarkly/ai-tooling
Path
skills/aws-devops-agent/experiment-orchestration/SKILL.md
Versions recorded
1
Latest version
v0.1.0, committed Oct 29, 2026
Size
27,908 bytes
Repository stars
29
License
a license file GitHub does not identify

Takes a product goal through a LaunchDarkly experiment and, if it wins, a guarded rollout (or a regular rollout on plans without guarded rollouts). Uses GitHub for the code change and deployment when it is connected to the agent space; otherwise hands those steps to a person.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Automated Experimentation

Use this skill when you have a goal you want to move through experimentation (e.g., "increase checkout conversion by 15%", "decrease page load time by 20%").

**Core principle: experiment first, then a guarded rollout, or a regular rollout if the plan has no guarded rollouts.** Always prove a change on a small, fixed slice of traffic via an A/B experiment before rolling it out. Never roll out blind — the rollout exists only to scale a change the experiment has already shown to work.

**Execution mode:** once the goal is confirmed (Step 1), run Steps 2–8 end-to-end. Async operations (code implementation, release review, deployment, experiment monitoring, rollout monitoring) should be checked periodically, not tight-polled — see the waiting note in each step. Stop and ask the user only for a planned handoff (merging the PR; any code, review, or deploy step you hand over without GitHub) or if a step fails unrecoverably (repeated failed release reviews, deployment failure, or an inconclusive/losing experiment result).
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add launchdarkly/ai-tooling/experiment-orchestration@sha256:cbda81714171e1f7

The line at the top of this page pins the label v0.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_3cry5lklscqbc52x.svg)](https://markdownregistry.com/a/art_3cry5lklscqbc52x)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 29, 2026.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-10-29 887d4cb 27,908 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (27908 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

launchdarkly/ai-tooling · 29 stars · license a license file GitHub does not identify · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_3cry5lklscqbc52x
GET https://markdownregistry.com/api/v1/resolve?ref=launchdarkly/ai-tooling/experiment-orchestration
GET https://markdownregistry.com/api/v1/blob/cbda81714171e1f725db7a7e10973c38ae0b71550e14636d8d463919349bd9e8

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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