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Agent skill

Hyperloom Global Kb

by AMD-AGI in AMD-AGI/Hyperloom

Deploys or restarts the shared global Experience KB that Hyperloom workspaces push their Experiences to and pull others' from, validates authenticated health, and tells each workspace which .env…

Custom licenceAuto-check: notesAI & LLM Engineering

Install Hyperloom Global Kb

skills CLI
$ npx skills add AMD-AGI/Hyperloom --skill hyperloom-global-kb -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AMD-AGI/Hyperloom hyperloom-global-kb --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AMD-AGI/Hyperloom.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/hyperloom/skills/hyperloom-global-kb .claude/skills/hyperloom-global-kb && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
hyperloom-global-kb
GitHub stars
217
Token cost
~1.1k tokens
SKILL.md length
363 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
Custom licence

At a glance

Deploys or restarts the shared global Experience KB that Hyperloom workspaces push their Experiences to and pull others' from, validates authenticated health, and tells each workspace which .env…

  • Asked to deploy
  • SKILL.md covers Resolve inputs, Service token, Start or restart and Validate, plus 1 more section
  • Calls python3, curl and pip; needs HYPERLOOM_KB_TOKEN and HYPERLOOM_GLOBAL_KB_TOKEN
  • Team Experience KB

What it does

Hyperloom Global Kb is an agent skill from AMD-AGI/Hyperloom. Deploys or restarts the shared global Experience KB that Hyperloom workspaces push their Experiences to and pull others' from, validates authenticated health, and tells each workspace which .env keys to set. Use when asked to deploy, start, restart, or check a global or team Experience KB.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering. It works with Python. The repository describes itself as: An agentic system that auto-optimizes LLM workloads on AMD GPUs.

When your agent uses it

  • Asked to deploy
  • Team Experience KB

Example prompts

  • “Use the hyperloom-global-kb skill to deploy or restarts the shared global Experience KB that Hyperloom workspaces push their Experiences to and pull…”
  • “/hyperloom-global-kb”

Requirements

  • Python 3
  • A credential in HYPERLOOM_KB_TOKEN
  • A credential in HYPERLOOM_GLOBAL_KB_TOKEN

What it can do on your machine

Read from SKILL.md and the folder at commit ea621bc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3
    • curl
    • pip
    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use curl and pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • HYPERLOOM_KB_TOKEN
    • HYPERLOOM_GLOBAL_KB_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Hyperloom Global Kb loads about 1.1k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 363 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:3
    d health, and tells each workspace which .env keys to set. Use when asked to deploy, start, restart, or check a global o
  • NoteMentions a .env fileSKILL.md:97
    adds these keys to its own `.env` by editing the file directly:

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 363 words (~1,128 tokens).

“A global Experience KB is the same Experience service every workspace runs locally, deployed once on a host that teammates' workspaces can reach. Runs never read or write it directly: each workspace's local service pushes its own Experiences to it…”

— opening of SKILL.md by AMD-AGI, Custom licence
name
hyperloom-global-kb

Read the full SKILL.md on GitHub

Files

Just SKILL.md in src/hyperloom/skills/hyperloom-global-kb of AMD-AGI/Hyperloom.

Open the folder on GitHubat commit ea621bc

Compare with similar skills

Hyperloom Global Kb next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Hyperloom Global Kb compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hyperloom Global Kb this skillAMD-AGI/Hyperloom217—~1.1kAutomated safety check: NotesCustom licence
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k9 repos~3.3kAutomated safety check: PassMIT
Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs13k8 repos~2.3kAutomated safety check: PassMIT
CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs13k8 repos~1.7kAutomated safety check: PassMIT
LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs13k8 repos~3kAutomated safety check: PassMIT
Azure AI Projects Python SDKmicrosoft/skills3.1k6 repos~2.8kAutomated safety check: PassMIT

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Works with

Categories

Questions about Hyperloom Global Kb

What does Hyperloom Global Kb do?

Deploys or restarts the shared global Experience KB that Hyperloom workspaces push their Experiences to and pull others' from, validates authenticated health, and tells each workspace which .env…. Hyperloom Global Kb is an agent skill from AMD-AGI/Hyperloom.env keys to set.

When should I use Hyperloom Global Kb?

Hyperloom Global Kb fits situations like: asked to deploy; team Experience KB.

How do I install Hyperloom Global Kb in Claude Code?

Run `npx skills add AMD-AGI/Hyperloom --skill hyperloom-global-kb -a claude-code`. Or copy the skill folder (src/hyperloom/skills/hyperloom-global-kb in AMD-AGI/Hyperloom) into .claude/skills/hyperloom-global-kb in your project. Claude Code loads it when a task matches its description.

How do I install Hyperloom Global Kb in Codex?

Run `npx skills add AMD-AGI/Hyperloom --skill hyperloom-global-kb -a codex`. Or copy the skill folder (src/hyperloom/skills/hyperloom-global-kb in AMD-AGI/Hyperloom) into .agents/skills/hyperloom-global-kb in your project. Codex loads it when a task matches its description.

Can I use Hyperloom Global Kb in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AMD-AGI/Hyperloom --skill hyperloom-global-kb -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hyperloom-global-kb, .gemini/skills/hyperloom-global-kb, .github/skills/hyperloom-global-kb and .opencode/skills/hyperloom-global-kb in your project.

What does Hyperloom Global Kb need to run?

Going by SKILL.md and its folder, Hyperloom Global Kb needs the command-line tools its instructions call (python3, curl, pip and python) and credentials named HYPERLOOM_KB_TOKEN and HYPERLOOM_GLOBAL_KB_TOKEN. Our summary lists: Python 3; A credential in HYPERLOOM_KB_TOKEN; A credential in HYPERLOOM_GLOBAL_KB_TOKEN.

Does Hyperloom Global Kb access the network?

SKILL.md contains no URLs. Its commands use curl and pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Hyperloom Global Kb safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Hyperloom Global Kb use?

Hyperloom Global Kb has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Hyperloom Global Kb use?

About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Hyperloom Global Kb?

Skills that share tags, products or a category with Hyperloom Global Kb: Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars) and LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hyperloom Global Kb?

AMD-AGI (a GitHub organization) maintains it in AMD-AGI/Hyperloom, which has 217 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 8, 2026.

Source: AMD-AGI/Hyperloom on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.