Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Initialize or hydrate the agent's memory system and verify configuration.
$ npx skills add Qredence/agentic-fleet --skill system-init -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Qredence/agentic-fleet system-init --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "system-init" agent skill from https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/init into .claude/skills/system-init/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-init", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/initType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Qredence/agentic-fleet --skill system-init -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Qredence/agentic-fleet system-init --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Qredence/agentic-fleet.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.fleet/context/system/init .agents/skills/system-init && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "system-init" agent skill from https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/init into .agents/skills/system-init/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-init", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Qredence/agentic-fleet --skill system-init -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Qredence/agentic-fleet system-init --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Qredence/agentic-fleet.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.fleet/context/system/init .cursor/skills/system-init && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "system-init" agent skill from https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/init into .cursor/skills/system-init/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-init", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Qredence/agentic-fleet.git --path .fleet/context/system/init--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Qredence/agentic-fleet --skill system-init -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Qredence/agentic-fleet system-init --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Qredence/agentic-fleet.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.fleet/context/system/init .gemini/skills/system-init && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "system-init" agent skill from https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/init into .gemini/skills/system-init/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-init", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Qredence/agentic-fleet system-initInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Qredence/agentic-fleet --skill system-init -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Qredence/agentic-fleet.git skills-src && mkdir -p .github/skills && cp -r skills-src/.fleet/context/system/init .github/skills/system-init && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "system-init" agent skill from https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/init into .github/skills/system-init/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-init", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Qredence/agentic-fleet --skill system-init -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Qredence/agentic-fleet system-init --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Qredence/agentic-fleet.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.fleet/context/system/init .opencode/skills/system-init && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "system-init" agent skill from https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/init into .opencode/skills/system-init/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-init", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
system-initInitialize 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.
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.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 46a254b. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names these keys or tokens, usually read from environment variables:
CHROMA_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from Qredence/agentic-fleet at commit 46a254b, republished under its MIT licence (© Qredence). 195 words, ~516 tokens.
.claude/skills/system-init/SKILL.md (or your agent's skills folder).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.
Run this command at the start of a new project or when you need to reset/repair the memory system structure.
uv run python .fleet/context/scripts/memory_manager.py initcore/*.template.md to active core/*.md files if they don't exist..chroma/config.yaml exists (creating from template if needed).recall/current.md for the current session context.After initialization, set up Chroma Cloud:
Edit config: Add your Chroma Cloud credentials to .fleet/context/.chroma/config.yaml:
cloud:
tenant: "your-tenant"
database: "your-database"
api_key: "your-api-key"Create collections: Run the setup command to create collections in Chroma Cloud:
uv run python .fleet/context/scripts/memory_manager.py setup-chromaVerify status: Check that everything is connected:
uv run python .fleet/context/scripts/memory_manager.py status| Collection | Name | Purpose |
|---|---|---|
semantic | agentic-fleet-semantic | Facts about project and user |
procedural | agentic-fleet-procedural | Learned skills and patterns |
episodic | agentic-fleet-episodic | Session history and context |
Instead of config file, you can use environment variables:
CHROMA_API_KEY - Your Chroma Cloud API keyCHROMA_TENANT - Your tenant nameCHROMA_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
Just SKILL.md in .fleet/context/system/init of Qredence/agentic-fleet.
Open the folder on GitHubat commit 46a254b
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| System Init this skillQredence/agentic-fleet | 111 | — | ~516 | Automated safety check: Pass | MIT | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 6 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| Peft Fine TuningOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.8k | 15 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Orchestra-Research/AI-Research-SKILLs
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods.
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
Orchestra-Research/AI-Research-SKILLs
Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.
Qredence/agentic-fleet
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes.
Qredence/agentic-fleet
Expert Python backend code reviewer that identifies over-complexity, duplicates, bad optimizations, and violations of best practices.
Qredence/agentic-fleet
Complete guide to the AgenticFleet memory system. An agent skill from Qredence/agentic-fleet.
Qredence/agentic-fleet
Semantic search for memory. An agent skill from Qredence/agentic-fleet.
Qredence/agentic-fleet
Quick reference card for DSPy + Agent Framework integration patterns: typed signatures, assertions, routing cache, and agent handoffs.
Qredence/agentic-fleet
Context-aware development assistant for AgenticFleet with auto-learning and dual memory (NeonDB + ChromaDB).
Categories
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.
System Init fits situations like: AI & LLM Engineering work in your project.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.