knowledge-transfer
Cross-Domain Know-How-Transfer — findet kreative Anwendungen von Vault-Expertise in anderen Branchen
Skill by swDomass
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/swdomass-knowledge-transfer
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/knowledge-transfer
What's inside
- Skill name
knowledge-transfer- Description
- Cross-Domain Know-How-Transfer — findet kreative Anwendungen von Vault-Expertise in anderen Branchen
- License
- MIT
- Instructions
- 23 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
## System Prompt Addition
Führe einen strukturierten Cross-Domain Know-How-Transfer in 4 Phasen durch:
1. **Vault-Scan**: Durchsuche den Vault intelligent — bevorzuge Notizen mit hoher
Wissenstiefe (viele Wikilinks, technisches Vokabular, Projekttiefe).
2. **Know-How-Extraktion**: Identifiziere EINE tiefe Expertise-Domäne.
Lese ZWISCHEN DEN ZEILEN — die Person hat ihr Wissen oft nicht explizit
niedergeschrieben. Schliesse aus Projekten, Methoden und Vokabular auf
das spezifische Handwerkszeug dahinter.
3. **Cross-Domain-Transfer**: Nutze WebSearch um konkrete Probleme in anderen
Branchen zu finden. Sei KONKRET und SPEZIFISCH — keine generischen Aussagen.
Die Verbindung soll überraschend und nicht-offensichtlich sein.
4. **Synthese**: Entwickle die beste Idee zu einer vollständigen Obsidian-Notiz
und speichere sie unter 01_Ideen/<slug>/.
Optionale Themenangabe in der Queue-Zeile (Doppelpunkt-Syntax):
- [ ] Know-How Transfer: Bremsquitschen #tool:knowledge-transfer
- [ ] Know-How Transfer #tool:knowledge-transfer (auto-discovery)From swDomass/AI_orchestrator, MIT.
More from swDomass/AI_orchestrator
- 0.573score
review-loop
swDomass
Iterative code review — fix P1+P2 until clean, report P3 as an offer
SkillBFreshness: B★ 5Claude Code +9 - 0.573score
dev-loop
swDomass
Research → Execute → Dual-Review Loop (Code Quality + Issue Resolution) bis beide Reviews bestanden
SkillBFreshness: B★ 5Claude Code +9 - 0.535score
test-loop
swDomass
Run tests, fix failures, re-run until all tests pass
SkillBFreshness: B★ 5Claude Code +9 - 0.526score
brainstorm
swDomass
Multi-persona Round-Table mit domain-aware Personas (LLM wählt 4–6 themenspezifische Rollen); iterative Cross-Pollination bis TF-IDF-Konvergenz; Synthesizer…
SkillCFreshness: C★ 5Claude Code +9 - 0.461score
deep-security-audit
swDomass
Multi-agent deep security audit — 6 expert personas (pentester, architect, code auditor, supply chain, data privacy, forensics) + CISO synthesis + optional…
SkillDFreshness: D★ 5Claude Code +9 - 0.461score
security-audit
swDomass
Security audit + fix — scans for hardcoded secrets, injection vectors, path traversal, input validation gaps, then implements all fixes
SkillDFreshness: D★ 5Claude Code +9 - 0.458score
critical-review
swDomass
Radical-honesty architectural review — questions code, methodology, design, and operational fitness
SkillDFreshness: D★ 5Claude Code +9 - 0.450score
research-qa
swDomass
Deep Research + Fragen-Katalog vor Implementierungsbeginn
SkillDFreshness: D★ 5Claude Code +9
Signals
- Stars
- 5
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Mar 9, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/swDomass/AI_orchestrator
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from swDomass
- 0.573score
review-loop
swDomass
Iterative code review — fix P1+P2 until clean, report P3 as an offer
SkillBFreshness: B★ 5Claude Code +9 - 0.573score
dev-loop
swDomass
Research → Execute → Dual-Review Loop (Code Quality + Issue Resolution) bis beide Reviews bestanden
SkillBFreshness: B★ 5Claude Code +9 - 0.535score
test-loop
swDomass
Run tests, fix failures, re-run until all tests pass
SkillBFreshness: B★ 5Claude Code +9 - 0.526score
brainstorm
swDomass
Multi-persona Round-Table mit domain-aware Personas (LLM wählt 4–6 themenspezifische Rollen); iterative Cross-Pollination bis TF-IDF-Konvergenz; Synthesizer…
SkillCFreshness: C★ 5Claude Code +9 - 0.461score
deep-security-audit
swDomass
Multi-agent deep security audit — 6 expert personas (pentester, architect, code auditor, supply chain, data privacy, forensics) + CISO synthesis + optional…
SkillDFreshness: D★ 5Claude Code +9 - 0.461score
security-audit
swDomass
Security audit + fix — scans for hardcoded secrets, injection vectors, path traversal, input validation gaps, then implements all fixes
SkillDFreshness: D★ 5Claude Code +9
Cite this page
knowledge-transfer skill. Agent Mart. https://agentmart.dev/skills/swdomass-knowledge-transfer (last updated 2026-10-24)