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Agent skill

Using Sgai

by sandgardenhq in sandgardenhq/sgai

Drive sgai (Software Garden AI) from any MCP-capable harness or AI agent.

Custom licenceAuto-check passed

Install Using Sgai

skills CLI
$ npx skills add sandgardenhq/sgai --skill using-sgai -a claude-code

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

GitHub CLI
$ gh skill install sandgardenhq/sgai using-sgai --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/sandgardenhq/sgai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/docs/sgai-skills/using-sgai .claude/skills/using-sgai && 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
using-sgai
GitHub stars
137
Token cost
~1.3k tokens
SKILL.md length
302 words
Files
1
Skills in repo
53
Repo updated
First seen
Licence
Custom licence

At a glance

Drive sgai (Software Garden AI) from any MCP-capable harness or AI agent.

  • Works in 4 steps: Probe — Get Factory State → Check for Pending Questions → Act Based on Status → …
  • Tasks that involve MCP servers
  • SKILL.md covers Quick Start: Base URL, The Cyclical Probe/Poll/Act Loop, Sub-skills and MCP Interface, plus 2 more sections
  • Calls curl, npx and jq

What it does

Using Sgai is an agent skill from sandgardenhq/sgai. Drive sgai (Software Garden AI) from any MCP-capable harness or AI agent. Covers the cyclical probe/poll/act workflow for managing AI software factory workspaces, sessions, and human interaction. Use this as the entrypoint when orchestrating sgai from Claude Code, Codex, or any AI harness.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires a running sgai server (sgai serve). Works with any HTTP client or MCP-capable harness.

It works with Model Context Protocol. The repository describes itself as: Sandgarden AI Software Factory.

When your agent uses it

  • Tasks that involve MCP servers

Example prompts

  • “/using-sgai”

Requirements

  • Node.js
  • Compatibility (from SKILL.md): Requires a running sgai server (sgai serve). Works with any HTTP client or MCP-capable harness.

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Probe — Get Factory State
  2. Check for Pending Questions
  3. Act Based on Status
  4. Respond to Questions

What it can do on your machine

Read from SKILL.md and the folder at commit 9efbb7b. 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:

    • curl
    • npx
    • jq

    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 npx, 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 no API keys, tokens, secrets or passwords.

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

  • Compatibility

    Requires a running sgai server (sgai serve). Works with any HTTP client or MCP-capable harness.

    From compatibility in the SKILL.md frontmatter.

Context cost

Using Sgai loads about 1.3k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 302 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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 passed

The automated check found no risky patterns in SKILL.md.

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 302 words (~1,279 tokens).

“sgai is a software factory system that runs AI agents in workspaces. This skill teaches you to drive it via the HTTP API or MCP tools.”

— opening of SKILL.md by sandgardenhq, Custom licence
name
using-sgai
compatibility
Requires a running sgai server (sgai serve). Works with any HTTP client or MCP-capable harness.

Read the full SKILL.md on GitHub

Files

Just SKILL.md in docs/sgai-skills/using-sgai of sandgardenhq/sgai.

Open the folder on GitHubat commit 9efbb7b

Compare with similar skills

Using Sgai 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.

Using Sgai compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Using Sgai this skillsandgardenhq/sgai137—~1.3kAutomated safety check: PassCustom licence
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
MCP Developmentcoollabsio/coolify63k1 repos~949Automated safety check: PassMIT
Analyze Logsactivepieces/activepieces25k1 repos~1.6kAutomated safety check: PassMIT

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All 53 skills in this repo

  • Root Cause Tracing

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  • Condition Based Waiting

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    A skill your agent uses when tests have race conditions, timing dependencies, or inconsistent pass/fail behavior - replaces arbitrary timeouts with condition polling to wait for actual state…

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  • Defense In Depth

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  • Agent Native Architecture

    sandgardenhq/sgai

    Build AI agents using prompt-native architecture where features are defined in prompts, not code.

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  • Adhoc

    sandgardenhq/sgai

    Run and manage ad-hoc AI prompts in sgai workspaces without starting a full agentic session.

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  • Browser Bug Testing Workflow

    sandgardenhq/sgai

    You must use this skill when debugging web UI bugs or testing interactive components that require multi-step browser interactions.

    137 GitHub stars~3.7k tokensUpdated 19 days ago
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Works with

Questions about Using Sgai

What does Using Sgai do?

Drive sgai (Software Garden AI) from any MCP-capable harness or AI agent. Using Sgai is an agent skill from sandgardenhq/sgai. Drive sgai (Software Garden AI) from any MCP-capable harness or AI agent.

When should I use Using Sgai?

Using Sgai fits situations like: tasks that involve MCP servers.

How do I install Using Sgai in Claude Code?

Run `npx skills add sandgardenhq/sgai --skill using-sgai -a claude-code`. Or copy the skill folder (docs/sgai-skills/using-sgai in sandgardenhq/sgai) into .claude/skills/using-sgai in your project. Claude Code loads it when a task matches its description.

How do I install Using Sgai in Codex?

Run `npx skills add sandgardenhq/sgai --skill using-sgai -a codex`. Or copy the skill folder (docs/sgai-skills/using-sgai in sandgardenhq/sgai) into .agents/skills/using-sgai in your project. Codex loads it when a task matches its description.

Can I use Using Sgai 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 sandgardenhq/sgai --skill using-sgai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/using-sgai, .gemini/skills/using-sgai, .github/skills/using-sgai and .opencode/skills/using-sgai in your project.

What does Using Sgai need to run?

Going by SKILL.md and its folder, Using Sgai needs the command-line tools its instructions call (curl, npx and jq). Our summary lists: Node.js. Compatibility (from SKILL.md): Requires a running sgai server (sgai serve). Works with any HTTP client or MCP-capable harness..

Does Using Sgai access the network?

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

Is Using Sgai safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Using Sgai use?

Using Sgai 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 Using Sgai use?

About 1.3k tokens (SKILL.md is roughly 5.1k 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 Using Sgai?

Skills that share tags, products or a category with Using Sgai: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and MCP Development (coollabsio/coolify, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Using Sgai?

sandgardenhq (a GitHub organization) maintains it in sandgardenhq/sgai, which has 137 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on September 21, 2026.

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