bloomery
CommunityCraft a coding agent with raw HTTP calls.
Authormgratzer
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The Bloomery Skill provides a hands-on guide to building a coding agent from scratch using raw HTTP calls to an LLM API, enabling engineers to learn the mechanics behind agentic loops, memory, and tooling without relying on SDKs.
Core Features & Use Cases
- Step-by-step tutorial to scaffold a working coding agent in roughly 300 lines of code.
- Demonstrates a full agent toolkit: a multi-step conversational loop, a system prompt, and essential tools such as list_files, read_file, and run_bash.
- Covers Gemini, OpenAI (and compatible endpoints), and Anthropic, with TypeScript, Python, Go, and Ruby as target languages.
Quick Start
Run the scaffold script to generate your agent scaffold and begin Step 0.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: bloomery Download link: https://github.com/mgratzer/bloomery/archive/main.zip#bloomery Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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