Upsolve-Labs
Community indexed
Upstack
Lightweight Red/Green TDD skill suite for Claude Code, Cursor, Codex, and Gemini CLI. Tests before code, always.
Community indexed
Lightweight Red/Green TDD skill suite for Claude Code, Cursor, Codex, and Gemini CLI. Tests before code, always.
Lightweight TDD skill suite for AI coding agents enforcing test-first workflow.
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Lightweight Claude Code (+ others) skill suite, used by the team at Upsolve AI.
Red/Green TDD workflow with 9 focused skills, minimal dependencies. Inspired by gstack and simon wilson.
Hi, I'm Serguei, CTO at Upsolve. I built Hyperauto at Palantir and I'm now working to help teams build robust, reliable data agents for their teams and customers. Like Garry, I think we're currently on the cusp of something huge in the AI coding space. But after playing around with gstack, I found its approach to be much more suited for new & ambitious greenfield projects than iterating on existing products.
At Upsolve, we are hyper focused on security, reliability, and grounding agents in real, auditable data. So our team's engineering approach requires a slightly different approach. With code being essentially free to write now, I believe we developers now need to focus on providing tightly scoped specs, project definitions, and test suites before touching a line of code. When you use upstack, it forces you to think test-first and submits code that is instantly provable and reliable. It takes 30 seconds to set up, so give it a try!
/advisor to see where you stand/plan on your first feature or bug/execute to build it with TDD/ship-pr to open a PR with screenshots and evidenceOpen Claude Code and paste this. Claude does the rest.
Install upstack: clone
https://github.com/Upsolve-Labs/upstack.gitto~/.claude/skills/upstack(try HTTPS first, fall back to SSH withgit@github.com:Upsolve-Labs/upstack.gitif auth fails),
# upstack Lightweight Claude Code (+ others) skill suite, used by the team at [Upsolve AI](https://upsolve.ai/). Red/Green TDD workflow with 9 focused skills, minimal dependencies. Inspired by [gstack](https://github.com/garrytan/gstack) and [simon wilson](https://simonwillison.net/guides/agentic-engineering-patterns/red-green-tdd/). Hi, I'm [Serguei](https://www.linkedin.com/in/sbalanovich/), CTO at Upsolve. I built [Hyperauto](https://www.palantir.com/offerings/hyperauto/) at Palantir and I'm now working to help teams build robust, reliable data agents for their teams and customers. Like Garry, I think we're currently on the cusp of something huge in the AI coding space. But after playing around with gstack, I found its approach to be much more suited for new & ambitious greenfield projects than iterating on existing products. At Upsolve, we are hyper focused on security, reliability, and grounding agents in real, auditable data. So our team's engineering approach requires a slightly different approach. With code being essentially free to write now, I believe we developers now need to focus on providing tightly scoped specs, project definitions, and test suites before touching a line of code. When you use upstack, it forces you to think test-first and submits code that is instantly provable and reliable. It takes 30 seconds to set up, so give it a try! ## Quick Start: Your First 5 Minutes 1. Install upstack (30 seconds, see below) 2. Open your project in Claude Code 3. Run `/advisor` to see where you stand 4. Run `/plan` on your first feature or bug 5. Run `/execute` to build it with TDD 6. Run `/ship-pr` to open a PR with screenshots and evidence ## Install — Takes 30 Seconds ### Install on your machine Open Claude Code and paste this. Claude does the rest. > Install upstack: clone `https://github.com/Upsolve-Labs/upstack.git` to `~/.claude/skills/upstack` (try HTTPS first, fall back to SSH with `git@github.com:Upsolve-Labs/upstack.git` if auth fails),
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.
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
65/100
Promising
Trust
61/100
Sandbox only
Audit
75
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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}Listing source
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