silicon-doppelganger
Build psychometrically accurate personal proxy agents for the PAIRL Conductor system. Extracts personality, decision heuristics, and values into portable schemas that enable AI agents to negotiate, filter, and act on a principal's behalf.
Profile →npx skills add majiayu000/claude-skill-registry --skill silicon-doppelganger-leegonzales-aiskills-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Silicon Doppelganger Build high-fidelity personal proxy agents ("Digital Twins") using structured personality extraction and psychometric encoding. These proxies serve as "spokes" in the PAIRL Conductor hub-and-spoke architecture, negotiating and filtering on behalf of their principals. ## When to Use Invoke when user: - Wants to create a personal proxy agent for automated task negotiation - Needs to build a Digital Twin for PAIRL Conductor integration - Is extracting personality/decision patterns for AI representation - Wants to validate a proxy agent against real behavior - Asks to create a "digital twin," "proxy agent," or "personal AI representative" ## Core Concept A Silicon Doppelganger is NOT just a simulation for entertainment — it's a **functional proxy** that can: - Accept or reject tasks based on encoded values - Negotiate with other agents on scheduling and resource allocation - Protect the principal's time, energy, and boundaries - Make low-stakes decisions autonomously within defined guardrails The persona schema acts as a "save file" that maintains fidelity across sessions and systems. ## Core Workflow ### Phase 1: Extraction (Data Collection) Interview the princip
- When to Use
- Core Concept
- Core Workflow
- Phase 1: Extraction (Data Collection)
- Phase 2: Encoding (Persona Schema)
- Phase 3: Validation (Behavioral Testing)
- Phase 4: Agent Integration (PAIRL Deployment)
- Use Cases
- Primary: Personal Proxy Agent
- Secondary: Team Simulation
- Tertiary: Self-Knowledge Tool
- Quaternary: Voice Calibration for Writing
- Key Principle
- Output Artifacts
What does the silicon-doppelganger skill do?
Build psychometrically accurate personal proxy agents for the PAIRL Conductor system. Extracts personality, decision heuristics, and values into portable schemas that enable AI agents to negotiate, filter, and act on a principal's behalf.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill silicon-doppelganger-leegonzales-aiskills-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.