solo-knowledge

name	solo-knowledge
description	Use when needing methodology reference, asking about principles, harness engineering, SGR, launch playbook, agent memory, decision frameworks, or any topic covered in the solopreneur knowledge base. Also use when the user asks "what do we know about X" or "how does our methodology handle X".
license	MIT
metadata	{"author":"fortunto2","version":"1.0.0"}
allowed-tools	Read, WebFetch, Grep, Glob
argument-hint	<question or topic>

/knowledge

Answer questions using the solopreneur knowledge base. Loads the site index via llms.txt, finds relevant pages, fetches and synthesizes answers.

Source: rustman.org/llms.txt — full index of all published content.

How It Works

The knowledge base is a static site (rustman.org) with 60+ pages organized as:

• Posts — pillar articles (manifesto, STREAM framework, harness engineering, agent memory, context graphs, launch playbook)
• Wiki — compiled knowledge pages (concepts, summaries, catalogs)
• Projects — build-in-public case studies
• Skills — solo-factory executable skills documentation
• Stacks — technology stack templates

All content indexed in llms.txt — a machine-readable map with titles, URLs, and descriptions.

Steps

1. Load index — fetch https://rustman.org/llms.txt via WebFetch (or read from references/llms-snapshot.txt if offline)

2. Parse question from $ARGUMENTS:

   • If empty: show available topics from the index
   • If topic: find matching pages by keyword in titles/descriptions

3. Fetch relevant pages — for each match (max 3), fetch the full page:

   WebFetch https://rustman.org/wiki/{slug}
   

   Or read locally if in solopreneur repo:

   Read wiki/{slug}.md
   

4. Synthesize answer — combine information from fetched pages:

   • Answer the question directly
   • Cite sources with links
   • Note related pages for deeper reading
   • If the answer contradicts or extends existing knowledge, note that

5. Suggest follow-up — based on wikilinks in the fetched pages, suggest related topics.

Usage Examples

/knowledge "how does harness engineering work?"
→ Fetches harness-engineering post + wiki summary, synthesizes key concepts

/knowledge "what's our approach to agent memory?"
→ Fetches agent-memory-architecture post + mempalace page, compares approaches

/knowledge "what stacks do we support?"
→ Lists all 9 stack templates with tech details

/knowledge "how to validate a startup idea?"
→ Fetches launch-playbook + SEED scoring + validation hub

Offline Mode

If WebFetch is unavailable, the skill falls back to:

1. Local wiki files: Grep "topic" wiki/ + Read wiki/{match}.md
2. Snapshot in references/llms-snapshot.txt

Key References

• references/llms-snapshot.txt — cached copy of llms.txt (update with: curl -s https://rustman.org/llms.txt > references/llms-snapshot.txt)

Content Domains

Domain	Key Pages	Depth
Philosophy	Manifesto, STREAM framework, antifragile design	Deep
Launch	Launch playbook, SEED scoring, kill/iterate/scale	Deep
Engineering	SGR, dev principles, CLI-first, privacy architecture	Deep
AI Agents	Harness engineering, agent memory, context graphs, RAG patterns	Very deep
Tools	Agent toolkit landscape, benchmarks, LLM providers	Catalog
Projects	12 open source projects with case studies	Medium
Skills	30 solo-factory skills with full documentation	Reference