Bootstrap Agent Identity
技能 已验证 活跃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.
To ensure consistent and coherent agent behavior across sessions by systematically reconstructing identity and context after restarts, addressing the cold-start problem.
功能
- Progressive identity loading
- Working context reconstruction from artifacts
- Fresh-vs-continuation detection
- Calibration through centering and attuning
- Identity verification for coherence
使用场景
- 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
非目标
- 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.
安装
/plugin install agent-almanac@pjt222-agent-almanac质量评分
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