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skills

von infranodus · infranodus/skills

15+ InfraNodus-backed skills for thinking: critical perspective, ontology building, perspective reversal, cognitive variability, SEO gap analysis, Vipassana-for-LLMs.

Thinking-augmentation skills that connect Claude to InfraNodus' knowledge-graph-based text analysis. Includes Cognitive Variability, Critical Perspective, Rhetorical Analyst, Ontology Creator, Writing Assistant, LLM Wiki, SEO gap analysis, YouTube Viral Optimizer, Perspective Reversal, Embodied Navigation, Vipassana for LLMs, Shifting Perspective, Actionize, and the InfraNodus CLI.

▶ Demo ansehen 📦 Installieren 💡 Anwendungsfälle

Warum nutzen

Hauptfunktionen

Live-Demo

In der Praxis

skills-skill-6.replay ▶ bereit
0/0

Installation

Repository des Autors · Offizielle Dokumentation zu Claude Skills

Anwendungsfälle

Praxisnahe Nutzung: skills

Get a critical perspective on a plan before committing

👤 Strategists, researchers, founders ⏱ ~30 min intermediate

Wann einsetzen: You have a plan and want assumptions + counterpoints surfaced.

Ablauf
  1. Run critical-perspective
    Run critical-perspective on this plan.md. Surface assumptions, counterpoints, missing alternatives.✓ Kopiert
    → Numbered objections grounded in the text
  2. Reverse perspectives
    Now perspective-reversal — what would the strongest critic of this plan propose instead?✓ Kopiert
    → A coherent opposing plan

Ergebnis: A stress-tested plan with explicit counter-argument.

Fallstricke
  • Dismissing reversal output because it disagrees with you — The point is to steelman — sit with the discomfort
Kombinieren mit: swing-skill

Find informational supply/demand gaps in an SEO topic

👤 Content strategists, SEOs ⏱ ~30 min intermediate

Wann einsetzen: Planning new content and want gaps, not keyword lists.

Ablauf
  1. Feed topic + competitors
    Run the SEO Analysis skill on topic 'vector databases' with top 5 competitor URLs. Graph the gaps.✓ Kopiert
    → Gap report with under-covered entities

Ergebnis: A content plan grounded in gap analysis rather than keyword volume.

Kombinieren mit: superseo-skill

Build a persistent wiki that your LLM can re-use across sessions

👤 Knowledge workers with recurring domain work ⏱ ~60 min intermediate

Wann einsetzen: You keep re-explaining your domain to Claude every session.

Ablauf
  1. Seed the wiki
    Use the LLM Wiki skill. Domain: medical imaging pipelines. Seed with these 10 notes.✓ Kopiert
    → Structured wiki with cross-links
  2. Use it in future sessions
    Pull my medical-imaging wiki for context on this task.✓ Kopiert
    → Wiki loads, context-aware answers

Ergebnis: Reusable domain memory.

Kombinieren mit: planning-with-files-skill

Convert a research note into an executable plan with reminders

👤 Anyone who researches but doesn't execute ⏱ ~15 min beginner

Wann einsetzen: You did the research; now you need actions.

Ablauf
  1. Actionize
    Run Actionize on research.md — turn conclusions into a dated action plan.✓ Kopiert
    → Plan with owners and dates

Ergebnis: Research that actually leads somewhere.

Kombinationen

Mit anderen MCPs für 10-fache Wirkung

skills-skill-6 + swing-skill

Layer Swing's cognitive firewalls with InfraNodus' graph analysis

After swing-review, run critical_perspective to surface what swing missed.✓ Kopiert
skills-skill-6 + superseo-skill

Bring InfraNodus gap analysis into SEO topic planning

Run seo_gap_analysis, feed to superseo topic-cluster-planning.✓ Kopiert

Werkzeuge

Was dieses MCP bereitstellt

WerkzeugEingabenWann aufrufenKosten
critical_perspective text Stress-testing InfraNodus quota
perspective_reversal text Breaking confirmation bias InfraNodus quota
ontology_creator domain notes Knowledge structuring InfraNodus quota
seo_gap_analysis topic + competitors Content planning InfraNodus quota
llm_wiki domain + notes Reusable memory Local
actionize research text Research -> execution 0
vipassana_for_llms task Fixation / loop detection 0

Kosten & Limits

Was der Betrieb kostet

API-Kontingent
InfraNodus free tier available; paid for heavy graph work
Tokens pro Aufruf
Moderate
Kosten in €
Free tier generous
Tipp
Use local skills (actionize, vipassana_for_llms) freely; gate graph analyses to when you need depth

Sicherheit

Rechte, Secrets, Reichweite

Credential-Speicherung: INFRANODUS_API_KEY in env when using graph features
Datenabfluss: Texts sent to InfraNodus for graph analysis

Fehlerbehebung

Häufige Fehler und Lösungen

InfraNodus requests fail

Check API key + quota at infranodus.com

Critical-perspective feels generic

Supply more context — the skill needs material to disagree with

Alternativen

skills vs. andere

AlternativeWann stattdessenKompromiss
swing-skillsYou want cognitive firewalls rather than graph augmentationNo graph analysis

Mehr

Ressourcen

📖 Offizielle README auf GitHub lesen

🐙 Offene Issues ansehen

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