Agent skill

System Init

by Qredence in Qredence/agentic-fleet

Initialize or hydrate the agent's memory system and verify configuration.

MITAuto-check passedAI & LLM Engineering

Install System Init

skills CLI
$ npx skills add Qredence/agentic-fleet --skill system-init -a claude-code

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

GitHub CLI
$ gh skill install Qredence/agentic-fleet system-init --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/Qredence/agentic-fleet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.fleet/context/system/init .claude/skills/system-init && 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
system-init
GitHub stars
111
Token cost
~516 tokens
SKILL.md length
195 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

Initialize or hydrate the agent's memory system and verify configuration.

  • Works in 3 steps: Hydrates Templates: Copies… → Config Setup: Ensures… → Recall Scratchpad: Creates…
  • AI & LLM Engineering work in your project
  • SKILL.md covers Usage, Actions Performed, Chroma Cloud Setup and Collections Created, plus 1 more section
  • Calls uv; needs CHROMA_API_KEY

What it does

System Init is an agent skill from Qredence/agentic-fleet. Initialize or hydrate the agent's memory system and verify configuration.

Its SKILL.md is about 520 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. The repository describes itself as: Adaptive Agentic AI Reasoning using Microsoft Agent Framework -- Join the Discord for suggestion or support ! https://discord.gg/ebgy7gtZHK. The licence is MIT.

When your agent uses it

  • AI & LLM Engineering work in your project

Example prompts

  • “/system-init”

Requirements

  • Python 3
  • A credential in CHROMA_API_KEY

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Hydrates Templates: Copies core/*.template.md to active core/*.md files if they don't exist.
  2. Config Setup: Ensures .chroma/config.yaml exists (creating from template if needed).
  3. Recall Scratchpad: Creates recall/current.md for the current session context.

What it can do on your machine

Read from SKILL.md and the folder at commit 46a254b. 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:

    • uv

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

  • Network

    No URLs in SKILL.md. Its commands use uv, 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:

    • CHROMA_API_KEY

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

Context cost

System Init loads about 516 tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 195 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~21
When it runs · the whole SKILL.md, loaded when a task matches
~516

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

The full file from Qredence/agentic-fleet at commit 46a254b, republished under its MIT licence (© Qredence). 195 words, ~516 tokens.

Download SKILL.mdSave it as .claude/skills/system-init/SKILL.md (or your agent's skills folder).
name
system-init
description
Initialize or hydrate the agent's memory system and verify configuration.

System Initialization

This skill handles the initialization of the agent's memory system. It ensures that the necessary directory structures, configuration files, and core context templates are in place.

Usage

Run this command at the start of a new project or when you need to reset/repair the memory system structure.

bash
uv run python .fleet/context/scripts/memory_manager.py init

Actions Performed

  1. Hydrates Templates: Copies core/*.template.md to active core/*.md files if they don't exist.
  2. Config Setup: Ensures .chroma/config.yaml exists (creating from template if needed).
  3. Recall Scratchpad: Creates recall/current.md for the current session context.

Chroma Cloud Setup

After initialization, set up Chroma Cloud:

  1. Edit config: Add your Chroma Cloud credentials to .fleet/context/.chroma/config.yaml:

    yaml
    cloud:
      tenant: "your-tenant"
      database: "your-database"
      api_key: "your-api-key"
  2. Create collections: Run the setup command to create collections in Chroma Cloud:

    bash
    uv run python .fleet/context/scripts/memory_manager.py setup-chroma
  3. Verify status: Check that everything is connected:

    bash
    uv run python .fleet/context/scripts/memory_manager.py status

Collections Created

CollectionNamePurpose
semanticagentic-fleet-semanticFacts about project and user
proceduralagentic-fleet-proceduralLearned skills and patterns
episodicagentic-fleet-episodicSession history and context

Environment Variables (Optional)

Instead of config file, you can use environment variables:

  • CHROMA_API_KEY - Your Chroma Cloud API key
  • CHROMA_TENANT - Your tenant name
  • CHROMA_DATABASE - Your database name

© Qredence, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .fleet/context/system/init of Qredence/agentic-fleet.

Open the folder on GitHubat commit 46a254b

Compare with similar skills

System Init 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.

System Init compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
System Init this skillQredence/agentic-fleet111—~516Automated safety check: PassMIT
Agent BuildershareAI-lab/learn-claude-code78k6 repos~1.2kAutomated safety check: PassMIT
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
Peft Fine TuningOrchestra-Research/AI-Research-SKILLs13k9 repos~3.1kAutomated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k9 repos~3.3kAutomated safety check: PassMIT
1passwordtrpc-group/trpc-agent-go1.8k15 repos~656Automated safety check: PassApache-2.0

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Questions about System Init

What does System Init do?

Initialize or hydrate the agent's memory system and verify configuration. System Init is an agent skill from Qredence/agentic-fleet. Initialize or hydrate the agent's memory system and verify configuration.

When should I use System Init?

System Init fits situations like: AI & LLM Engineering work in your project.

How do I install System Init in Claude Code?

Run `npx skills add Qredence/agentic-fleet --skill system-init -a claude-code`. Or copy the skill folder (.fleet/context/system/init in Qredence/agentic-fleet) into .claude/skills/system-init in your project. Claude Code loads it when a task matches its description.

How do I install System Init in Codex?

Run `npx skills add Qredence/agentic-fleet --skill system-init -a codex`. Or copy the skill folder (.fleet/context/system/init in Qredence/agentic-fleet) into .agents/skills/system-init in your project. Codex loads it when a task matches its description.

Can I use System Init 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 Qredence/agentic-fleet --skill system-init -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/system-init, .gemini/skills/system-init, .github/skills/system-init and .opencode/skills/system-init in your project.

What does System Init need to run?

Going by SKILL.md and its folder, System Init needs the command-line tools its instructions call (uv) and credentials named CHROMA_API_KEY. Our summary lists: Python 3; A credential in CHROMA_API_KEY.

Does System Init access the network?

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

Is System Init 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 System Init use?

System Init is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does System Init use?

About 516 tokens (SKILL.md is roughly 2.1k 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 System Init?

Skills that share tags, products or a category with System Init: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (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 System Init?

Qredence (a GitHub organization) maintains it in Qredence/agentic-fleet, which has 111 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on April 13, 2026.

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