merge-optimization-trees SKILL.md skillA

merge-optimization-trees from amd-agi/hyperloom is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add amd-agi/hyperloom/merge-optimization-trees@git:20261105.0d95dc2

Pins git:20261105.0d95dc2 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
amd-agi/hyperloom
Path
src/hyperloom_arbor/.claude/skills/merge-optimization-trees/SKILL.md
Versions recorded
1
Latest version
git:20261105.0d95dc2, committed Nov 5, 2026
Size
16,884 bytes
Repository stars
262
License
a license file GitHub does not identify

Merge several independently-discovered optimizations (PRs, campaign trees, forks) into one measurable baseline: branch contended sites in CODE behind per-feature knobs, choose a lean default and test that set, bisect when the lean set is broken, compare contended sites pairwise, stack the winners, and bank the losers. Use when consolidating optimization PRs or Arbor campaign trees, when two trees touch the same files, or when asked which combination of optimizations to ship.

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

# Merging optimization trees into one baseline

## The method

```
- [ ] 1. Merge everything onto ONE branch, branching IN CODE at each conflict
- [ ] 2. Choose a lean for each conflict; that set is the baseline -- TEST IT
- [ ] 3. If the lean set is broken, binary-search for the culprit
- [ ] 4. Compare each contended site pairwise, in isolation
- [ ] 5. Stack the winners and check the effects actually stack
- [ ] 6. Bank the losers; do not delete them
```

The underlying rules, unchanged: one feature at a time; every feature gets a
knob; dedup true duplicates; branch contended implementations behind their own
knobs; select with a heuristic, never a brute-force sweep.

> **"Branch" in step 1 means a branch in the CODE, not a branch in git.**
> Two conflicting implementations both land on the **one** integration branch,
> each behind `if envs.KNOB:` / `else:`, with the old path still live. There is
> one git branch at the end, carrying every knob.
>
> This is worth stating because the other reading is natural and expensive. A
> run of this skill produced one sibling git branch per contended candidate,
> and had to fold them back together afterwards — during which knob
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add amd-agi/hyperloom/merge-optimization-trees@sha256:bd42a68e6d22634a

The line at the top of this page pins the label git:20261105.0d95dc2, 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_skrfbejrgj3cmv24.svg)](https://markdownregistry.com/a/art_skrfbejrgj3cmv24)

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

Versions

The registry has recorded 1 version of this file, committed on Nov 5, 2026.

versioncommittedcommitsizeaudit
git:20261105.0d95dc2 latest2026-11-05 0d95dc2 16,884 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 (16884 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

amd-agi/hyperloom · 262 stars · license a license file GitHub does not identify · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_skrfbejrgj3cmv24
GET https://markdownregistry.com/api/v1/resolve?ref=amd-agi/hyperloom/merge-optimization-trees
GET https://markdownregistry.com/api/v1/blob/bd42a68e6d22634a89afd8a78dad3824bc8dd33d9cb19d61c0922e1ab711a240

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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