recall

Load topic-matched project decisions into session context before work.

Updated Jan 19, 2026

Search Tags:#context #recall #memory #session-management #memory-index #topic-selection #decision-loading

Ready to run

npx skills add https://github.com/ddaanet/edify-plugin --skill recall-ddaanet

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: recall
Source: https://github.com/ddaanet/edify-plugin/tree/main/skills/recall
Command: npx skills add https://github.com/ddaanet/edify-plugin --skill recall-ddaanet

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Load project decisions and learnings into session context before working, ensuring relevant context is always available when starting tasks.

Core Features & Use Cases

Selective recall: bring in only decisions related to the current topic to accelerate planning and reduce repeated digging.
Cross-session continuity: cumulative across invocations so past learnings stay accessible in future sessions.
Safe loading: loads context without exposing or mutating unrelated memory, with graceful fallbacks if no matches are found.

Quick Start

Start a recall session by loading relevant decisions for the current topic.

Frequently Asked Questions about recall

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I load relevant project decisions into session context before starting work?▼

To load project decisions into session context, you start a recall session that applies topic-driven recall across current and prior sessions, selectively surfacing pertinent guidance from memory indexing and decision files.

What is topic-driven recall and how does it help with session management?▼

Topic-driven recall is a selective memory indexing mechanism that loads only decisions related to the current topic into the session, reducing repeated manual searching and accelerating planning across current and prior sessions.

Can I retrieve learnings from prior sessions without manual searching?▼

Yes, cross-session continuity enables retrieving past learnings without manual searching by applying cumulative recall across prior sessions, keeping pertinent guidance accessible in future sessions.

What happens if no matching decisions are found during context recall?▼

When no matching decisions are found during context recall, the system provides safe fallbacks to ensure graceful loading without exposing or mutating unrelated memory files.

Does selective context loading expose or mutate unrelated memory files?▼

No, selective context loading uses safe loading principles that ensure unrelated memory files are never exposed or mutated during the decision retrieval process.

When do I need incremental context loading for project decisions?▼

Incremental context loading for project decisions is needed when you want to selectively bring in only topic-related learnings to accelerate planning, ensuring relevant context is always available without repeated manual searching.