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PythonReactSEOPDF
GitHub Skill

memory-keeper

Manages project structure, auto-saves artifacts, and performs recovery protocols. Use this skill at the end of tasks or when encountering errors.

mr-phariyawit☆ 0 Étoiles du dépôt0 Forks du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

Voir la source ↗Guides

Instructions

Memory Keeper Skill

Purpose

To ensure the Structural Memory of the agent is preserved, artifacts are backed up, and the agent can recover from context limits.

Trigger Conditions

  • Task completion (finishing a feature).
  • User mentions /retro or "save memory".
  • Agent encounters "Agent terminated due to error" or "Context Limit" errors.

Workflow Rules

1. Structural Integrity Check
  • Verify agent/rules/ exists.
  • Verify docs/ exists.
  • Verify .memory/ exists.
    • Action: If missing, suggest running init-project or creating them.
2. Auto-Save Protocol

When a major task is done:

  1. Format Timestamp: YYMMDD_HHMM.
  2. Target Directory: .memory/[Timestamp]_[TaskName]/.
  3. Action: Copy key artifacts (task.md, implementation_plan.md, spec.md) to this folder.
    • Note: Do not perform the copy yourself if it's too heavy. Just remind the user or create a script.
3. Recovery Protocol (Agent Terminated Handler)

If the Agent is slow, buggy, or hits token limits:

  1. Advise User: "I am hitting context limits. Recommendation: Factory Reset."
  2. Command: Suggest running:
    ./antigravity_toolkit.sh full
    
  3. Post-Reset: Remind user to:
    • "Import rules and workflows" immediately after reset.

Exemples

Consultez les exemples du dépôt source.

Voir la source ↗

Historique source

Date d’indexation
2026-01-20
Mise à jour de l’index
2026-01-26
Branch
main

Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.

GitHub ↗

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