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forge-skill

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Local-first personality distillation engine — analyze your own patterns (forge-self) or preserve a loved one's voice (forge-persona) from chat records and journals.

人格蒸馏引擎. A local-first, no-server skill that parses chat records, diaries, and social media to distill communication patterns into two artifacts: self profiles (your own decision patterns and blind spots) and persona profiles (someone else's distinctive voice). Then lets you use-self to consult variant versions of yourself, or use-persona to roleplay with someone's preserved voice. Not resurrection — an echo, local, iterative, and under your control.

Warum nutzen

Hauptfunktionen

Live-Demo

In der Praxis

forge-skill.replay ▶ bereit
0/0

Installation

Repository des Autors · Offizielle Dokumentation zu Claude Skills

Anwendungsfälle

Praxisnahe Nutzung: forge-skill

Consult variants of yourself before a hard decision

👤 People facing tricky life/career decisions who want structured self-reflection ⏱ ~60 min intermediate

Wann einsetzen: A fork-in-the-road decision where you want to hear your own conflicting voices.

Ablauf
  1. Build self profile
    Use forge-self on /path/to/my-journals and chats. Distill patterns, decision tendencies, blind spots.✓ Kopiert
    → Local profile written with identified patterns
  2. Consult variants
    use-self. Decision: accept the offer or stay. Give me 'cautious me', 'decisive me', 'relationship-focused me' perspectives.✓ Kopiert
    → Three distinct voices, not bland averages

Ergebnis: A decision you made after hearing your own contradictions.

Fallstricke
  • Expecting one 'right' answer to pop out — The skill's promise is perspective, not prescription
Kombinieren mit: filesystem

Preserve the voice of a loved one you've lost touch with or lost

👤 People wanting to keep an echo of someone important ⏱ ~120 min intermediate

Wann einsetzen: You have old messages/journals and want to keep their voice accessible.

Voraussetzungen
  • Chat exports, journals, social posts — Gather into a local folder
Ablauf
  1. Build persona
    Use forge-persona on this archive of my grandmother's letters. Distill her voice.✓ Kopiert
    → Persona file capturing style, vocabulary, quirks
  2. Use the persona
    use-persona — talk to me about my job stress the way she would.✓ Kopiert
    → Response that recognizably sounds like her — not generic
  3. Correct iteratively
    That phrase wasn't quite her — here's how she'd actually say it.✓ Kopiert
    → Profile updated, next response better

Ergebnis: An echo you can sit with, fully under your control.

Fallstricke
  • Treating it as the person rather than an echo — The skill explicitly warns: this is not resurrection. Hold it as a tool for reflection
Kombinieren mit: filesystem

Audit your own communication patterns over a year

👤 Self-improvement-minded people ⏱ ~60 min beginner

Wann einsetzen: Year-end review with a twist.

Ablauf
  1. Run forge-self on a year's worth
    Run forge-self on my 2025 chat + journal archive. Compare to 2024 if data exists. What changed?✓ Kopiert
    → Pattern delta with specifics

Ergebnis: Actual data about how your communication evolved.

Kombinationen

Mit anderen MCPs für 10-fache Wirkung

forge-skill + filesystem

Archive sources and profile artifacts in one managed local folder

Organize my journal exports under ~/forge/sources/ and profiles under ~/forge/profiles/.✓ Kopiert

Werkzeuge

Was dieses MCP bereitstellt

WerkzeugEingabenWann aufrufenKosten
forge-self archive path Build your own digital mirror 0 — local
forge-persona archive path, person name Preserve another's voice 0 — local
use-self question + variant choice Decision reflection 0
use-persona question Voice-preserved conversation 0

Kosten & Limits

Was der Betrieb kostet

API-Kontingent
None
Tokens pro Aufruf
Large on initial distillation (journals can be big)
Kosten in €
Free
Tipp
Distill once, reuse many times — the profile is persistent

Sicherheit

Rechte, Secrets, Reichweite

Minimale Scopes: Read on your source folders, write on the profile folder
Credential-Speicherung: None — fully local
Datenabfluss: LLM call processes the data — choose a provider whose policy you're comfortable with
Niemals gewähren: Network egress for the profile data — stays on your disk

Fehlerbehebung

Häufige Fehler und Lösungen

Distilled profile feels generic

Supply more source material, especially distinctive pieces

Persona drifts over many turns

Periodically correct; the skill learns from your corrections

Alternativen

forge-skill vs. andere

AlternativeWann stattdessenKompromiss
Writing in a regular journalYou just want reflection, not distillationNo variant consultation

Mehr

Ressourcen

📖 Offizielle README auf GitHub lesen

🐙 Offene Issues ansehen

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