sauce

name	sauce
version	1.0.0
description	Find best-in-class tech for any problem. Runs parallel searches across GitHub, startups, research, and community — ranks and saves winners to a sauce list.
allowed-tools	["Bash","Read","Write","Edit","Grep","Glob","Agent"]

/sauce — Find the Best Tech

Given a problem, run broad parallel searches and surface the best options. Save winners to a persistent list.

Commands

Input	Action
/sauce <problem>	Research mode
/sauce list	Show saved sauce list
/sauce save <name>	Save a find to the list
/sauce remove <name>	Remove from list

Research mode

Step 1: Understand the problem

• Core requirement
• Key constraints (performance, cost, simplicity, ecosystem)
• What they've tried

Step 2: Generate 15–20 diverse queries

Cover these angles:

1. Direct — exact problem statement, year (2025 2026)
2. GitHub — github stars open source alternative
3. Startups — YC backed series A startup
4. Research — benchmark comparison paper
5. Community — HN discussion production experience

Step 3: Run searches in parallel

Spawn 3–4 agents concurrently, each handling a query category. Use Exa MCP tools:

• General + comparisons → mcp__claude_ai_Exa__web_search_exa
• Companies + startups → same with category: "company"
• Deep research → mcp__claude_ai_Exa__web_search_exa with type: "deep"
• Code/GitHub → mcp__claude_ai_Exa__web_fetch_exa for specific repos

Agent prompt template:

You are a tech research agent. Search for solutions to: "<PROBLEM>"

Run these queries using mcp__claude_ai_Exa__web_search_exa (numResults: 8, type: "auto"):
1. "<query1>"
2. "<query2>"
...

For each notable find, return: name, URL, one-line description, why it's exceptional, traction signals (stars, funding, usage), maturity (alpha/stable/production).

Step 4: Score and rank

For each unique technology:

Dimension	Weight
Relevance — actually solves the problem	3×
Maturity — production-ready, actively maintained	2×
Traction — stars, funding, adoption	2×
Innovation — genuinely 10× better approach	2×
Ecosystem — docs, integrations, community	1×

Composite = weighted sum / 10.

Step 5: Present

## Sauce: "<problem>"

Searched 18 queries. Found 12 unique technologies.

### 1. Technology Name (9.2/10)
**What:** one-line description
**Why it's sauce:** the 10× factor
**URL:** https://...
**Traction:** 20k stars, backed by CNCF, used in production at Cloudflare
**Maturity:** stable

### 2. ...

---
### Honorable Mentions
- **Tech A** — interesting but alpha (URL)

Save anything? Run `/sauce save <name>`.

Sauce list

Lives at skills/sauce/references/sauce-list.md.

List mode

Read and display the file grouped by status (adopted / exploring / rejected).

Save mode

Append to sauce-list.md:

## Technology Name
- **Solves:** problem description
- **Why:** what makes it exceptional
- **URL:** primary link
- **Discovered:** YYYY-MM-DD
- **Status:** exploring
- **Notes:** context

Rules

• Breadth first — diverse queries before narrowing
• Prefer technologies active in the last 12 months
• Traction matters — 10 GitHub stars is not sauce unless brand new and exceptional
• No vaporware — must have working code, live product, or published paper
• Be opinionated — the top pick should be obvious
• Deduplicate — same tech found multiple ways counts once