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Bootstrap Agent Identity

Skill Verified Active

Consistent agent behavior after restart — progressive identity loading, working context reconstruction from persistent artifacts, fresh-vs-continuation detection, calibration through centering and attunement, and identity verification for coherence. Addresses the cold-start problem where an agent must reconstruct who it is and what it was doing from evidence rather than memory. Use at the start of every new session, after a session interruption or crash, when agent behavior feels inconsistent with prior sessions, or when persistent memory and current context appear contradictory.

Purpose

To ensure consistent and coherent agent behavior across sessions by systematically reconstructing identity and context after restarts, addressing the cold-start problem.

Features

  • Progressive identity loading
  • Working context reconstruction from artifacts
  • Fresh-vs-continuation detection
  • Calibration through centering and attuning
  • Identity verification for coherence

Use Cases

  • At the start of every new session
  • After session interruptions or crashes
  • When agent behavior feels inconsistent
  • When persistent memory and current context appear contradictory

Non-Goals

  • Restoring a previous self exactly
  • Replacing genuine memory with loaded context
  • Reporting the bootstrap process in detail to the user

Practical Utility

  • info:Usage examplesWhile the SKILL.md describes a clear procedure, it lacks concrete, ready-to-use examples of invocation and observable outcomes.

Installation

/plugin install agent-almanac@pjt222-agent-almanac

Quality Score

Verified
93 /100
Analyzed about 22 hours ago

Trust Signals

Last commit1 day ago
Stars14
LicenseMIT
Status
View Source

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