Retrieve nine months of Pieces LTM context for feature or bug work.
npx skills add https://github.com/89jobrien/dotfiles --skill pieces-ltm
Please help me install this Agent Skill. Skill: pieces-ltm Source: https://github.com/89jobrien/dotfiles/tree/main/dot-claude/skills/pieces-ltm Command: npx skills add https://github.com/89jobrien/dotfiles --skill pieces-ltm
Use before starting work on a feature or bug to get historical context from 9 months of LTM. Use when you need to know what you tried before, why a decision was made, or what was the state of X last month.
Ask Claude to load the current project’s Pieces LTM context before you start a feature or bug.
High-intent search queries and answers about installing and using this skill.
To retrieve historical context, you can load nine months of Pieces LTM data. This surfaces prior decisions and past project states to inform your current feature or bug work.
Decision archaeology uses long-term memory to surface the rationale behind prior development choices. By querying nine months of LTM context, you can understand why specific decisions were made.
You can retrieve the previous state of a project by querying historical LTM context. This provides up to nine months of historical data to guide your current bug investigation.
Yes, retrieving historical context requires access to the Pieces health endpoint. Claude uses this endpoint and its querying capabilities to fetch LTM data with deterministic behavior and clear failure handling.
You should load long-term memory context when starting new work, investigating prior decisions, or needing context about past project states. It provides historical data for planning and risk assessment.
The historical context retrieval is limited to a nine-month window of LTM data. While it provides deterministic behavior and clear failure handling, it cannot surface decisions or project states older than nine months.
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