fortunto2/solo-factory/knowledge

Claude Code and agent skill by fortunto2/solo-factory

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Checking that the SKILL.md file is still in the repository.

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. Use when user says "what do we know about X", "how does our methodology handle X", "what does the playbook say", "remind me of the principle".

Install

npx vskill@latest install fortunto2/solo-factory/knowledge

SKILL.md

/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)
  1. Parse question from $ARGUMENTS:
  • If empty: show available topics from the index
  • If topic: find matching pages by keyword in titles/descriptions
  1. 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 ``

  1. 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
  1. 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

DomainKey PagesDepth
PhilosophyManifesto, STREAM framework, antifragile designDeep
LaunchLaunch playbook, SEED scoring, kill/iterate/scaleDeep
EngineeringSGR, dev principles, CLI-first, privacy architectureDeep
AI AgentsHarness engineering, agent memory, context graphs, RAG patternsVery deep
ToolsAgent toolkit landscape, benchmarks, LLM providersCatalog
Projects12 open source projects with case studiesMedium
Skills30 solo-factory skills with full documentationReference

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
18
Repository forks
3
7-day trend score
15

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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