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Agent skill

System Learn

by Qredence in Qredence/agentic-fleet

Ingest new procedural memory (skills, patterns, docs) into the vector database.

MITAuto-check passedDatabases

Install System Learn

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

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

GitHub CLI
$ gh skill install Qredence/agentic-fleet system-learn --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/learn .claude/skills/system-learn && 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-learn
GitHub stars
111
Token cost
~226 tokens
SKILL.md length
100 words
Files
1
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

Ingest new procedural memory (skills, patterns, docs) into the vector database.

  • Tasks that involve Vector databases
  • SKILL.md covers Usage, Arguments and Best Practices
  • Calls uv

What it does

System Learn is an agent skill from Qredence/agentic-fleet. Ingest new procedural memory (skills, patterns, docs) into the vector database.

Its SKILL.md is about 230 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 Databases, covering Vector databases. 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

  • Tasks that involve Vector databases

Example prompts

  • “/system-learn”

Requirements

  • Python 3

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 no API keys, tokens, secrets or passwords.

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

Context cost

System Learn loads about 226 tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 100 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~23
When it runs · the whole SKILL.md, loaded when a task matches
~226

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). 100 words, ~226 tokens.

Download SKILL.mdSave it as .claude/skills/system-learn/SKILL.md (or your agent's skills folder).
name
system-learn
description
Ingest new procedural memory (skills, patterns, docs) into the vector database.

Learning Skill

This skill allows the agent to "learn" new patterns, skills, or documentation by ingesting markdown files into the procedural memory collection in ChromaDB.

Usage

Use this when you have identified a reusable pattern, wrote a new guide, or want to index a documentation file for future semantic retrieval.

bash
uv run python .fleet/context/scripts/memory_manager.py learn --file <path_to_markdown_file>

Arguments

  • --file: The absolute or relative path to the markdown file you want to learn.

Best Practices

  • Ensure the markdown file has a clear title (# Title).
  • The file should contain reusable information, not just ephemeral session data.
  • Save the file in .fleet/context/skills/ before learning it to keep the source organized.

© 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/learn of Qredence/agentic-fleet.

Open the folder on GitHubat commit 46a254b

Compare with similar skills

System Learn 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 Learn compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
System Learn this skillQredence/agentic-fleet111—~226Automated safety check: PassMIT
Qdrant Horizontal Scalingqdrant/skills2532 repos~833Automated safety check: PassApache-2.0
Qdrant Indexing Performance Optimizationqdrant/skills2532 repos~1.2kAutomated safety check: PassApache-2.0
Redis Searchredis/agent-skills1651 repos~2.9kAutomated safety check: PassMIT
Qdrant Minimize Latencyqdrant/skills2532 repos~725Automated safety check: PassApache-2.0
Foldseekadaptyvbio/protein-design-skills1634 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about System Learn

What does System Learn do?

Ingest new procedural memory (skills, patterns, docs) into the vector database. System Learn is an agent skill from Qredence/agentic-fleet. Ingest new procedural memory (skills, patterns, docs) into the vector database.

When should I use System Learn?

System Learn fits situations like: tasks that involve Vector databases.

How do I install System Learn in Claude Code?

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

How do I install System Learn in Codex?

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

Can I use System Learn 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-learn -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-learn, .gemini/skills/system-learn, .github/skills/system-learn and .opencode/skills/system-learn in your project.

What does System Learn need to run?

Going by SKILL.md and its folder, System Learn needs the command-line tools its instructions call (uv). Our summary lists: Python 3.

Does System Learn 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 Learn 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 Learn use?

System Learn 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 Learn use?

About 226 tokens (SKILL.md is roughly 904 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 Learn?

Skills that share tags, products or a category with System Learn: Qdrant Horizontal Scaling (qdrant/skills, 253 stars), Qdrant Indexing Performance Optimization (qdrant/skills, 253 stars), Redis Search (redis/agent-skills, 165 stars) and Qdrant Minimize Latency (qdrant/skills, 253 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains System Learn?

Qredence (a GitHub organization) maintains it in Qredence/agentic-fleet, which has 111 GitHub stars. The repository holds 11 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.