sneg55
Community indexed
Agent Starter
A toolkit of skills, templates, and guides for bootstrapping AI-agent-friendly projects. Started from Anthropic's Claude Code engineering patterns, extended with a per-project self-improvement loop and more.
Community indexed
A toolkit of skills, templates, and guides for bootstrapping AI-agent-friendly projects. Started from Anthropic's Claude Code engineering patterns, extended with a per-project self-improvement loop and more.
A toolkit providing reusable slash commands, hooks, and templates for bootstrapping AI-agent-friendly projects with a self-improvement loop.
Source documentation, not instructions for this website. Review permissions before running any commands.
License ↗ CI ↗ Stars ↗ Claude Code ↗ Bash ↗ Python ↗
Skills, hooks, templates, and engineering guides for bootstrapping AI-agent-friendly projects, with a per-project self-improvement loop.
A toolkit for setting up projects that AI agents can work in safely and productively. It scaffolds new projects, retrofits existing ones, and ships enforcement hooks, drop-in configs, and engineering patterns. The differentiator is the self-improvement loop: scaffolded projects capture signal from their own usage and turn it into better rules over time.
| Component | What it does | Where |
|---|---|---|
| Skills | 8 slash commands: scaffold, adopt, commit, reflect, remember, dream | skills/ |
| Hooks | Enforcement (lint, file-size, dangerous-command) + signal capture for the loop | hooks/ |
| Templates | Drop-in configs: Biome, ESLint, ruff, pyright, CLAUDE.md, env boundaries | templates/ |
| Guides | 9 engineering patterns for AI-agent codebases | guides/ |
| Self-improvement loop | Projects learn from their own usage and propose their own rules | across the above |
Provenance: patterns marked "derived from Anthropic's Claude Code source" are reverse-engineered from the Claude Code CLI; everything else is added on top. See About.
This repo doubles as
# agent-starter [](LICENSE) [](https://github.com/sneg55/agent-starter/actions/workflows/ci.yml) [](https://github.com/sneg55/agent-starter/stargazers)    Skills, hooks, templates, and engineering guides for bootstrapping AI-agent-friendly projects, with a per-project self-improvement loop. ## What it is A toolkit for setting up projects that AI agents can work in safely and productively. It scaffolds new projects, retrofits existing ones, and ships enforcement hooks, drop-in configs, and engineering patterns. The differentiator is the [self-improvement loop](#the-self-improvement-loop): scaffolded projects capture signal from their own usage and turn it into better rules over time. | Component | What it does | Where | |-----------|--------------|-------| | **Skills** | 8 slash commands: scaffold, adopt, commit, reflect, remember, dream | [`skills/`](skills/) | | **Hooks** | Enforcement (lint, file-size, dangerous-command) + signal capture for the loop | [`hooks/`](hooks/) | | **Templates** | Drop-in configs: Biome, ESLint, ruff, pyright, `CLAUDE.md`, env boundaries | [`templates/`](templates/) | | **Guides** | 9 engineering patterns for AI-agent codebases | [`guides/`](guides/) | | **Self-improvement loop** | Projects learn from their own usage and propose their own rules | across the above | Provenance: patterns marked _"derived from Anthropic's Claude Code source"_ are reverse-engineered from the Claude Code CLI; everything else is added on top. See [About](#about). ## Quick start This repo doubles as
Source structure unverified
A repository listing is not proof of an installable skill. Review its instructions before proposing any installation.
Review before install: Avoid automatic install
License: MIT
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
74/100
Strong
Trust
64/100
Sandbox only
Audit
78
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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