recallloom
SolidUse when a task involves continuing a project, restoring project context, maintaining file-based project memory, updating current-state summaries, or recording meaningful progress across sessions. Works best for long-horizon, file-based projects and supports research writing, product document collaboration, software project coordination, and broader cross-functional project continuity.
Install
Quality Score: 88/100
Skill Content
Details
- Author
- Frappucc1no
- Repository
- Frappucc1no/recall-loom
- Created
- 3 months ago
- Last Updated
- 4 days ago
- Language
- Python
- License
- Apache-2.0
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lore
Long-term Markdown project memory for AI coding agents. Use when the user wants to record, recall, audit, sync, or compress project decisions, architecture, conventions, monorepo scopes, or `.lore/` entries, including natural-language requests like "remember this decision" or explicit `lore init/sync/query/audit/compress/mirror`. Do not trigger on native `/init` or `/compact`, or generic init/compress/audit/query tasks unless the object is clearly project memory, `.lore/`, decisions, or conventions. Stores `.lore/` Markdown and can mirror to CLAUDE.md / .cursorrules / AGENTS.md.
recall
Recall recent project memory at the start of an agentic coding session. Use this skill for "/tracework:recall", when the user says "开工", "session start", "start session", "recall context", "继续上次", "接着做", or asks what to remember before implementing in the current repo. Intra-project only; does not do cross-project retrieval.
openloomi-memory
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