What does the Proactive Recall skill do?

It prompts Claude to search through local-recall memories for past context, decisions, and reasoning before it proposes any significant technical solutions.

Can I search for memories related to specific files?

Yes, the skill supports scoped searches that allow you to filter past memories by specific file paths or project areas for more relevant context.

How does this skill prevent technical debt?

By surfacing past architectural decisions and reasoning, it prevents Claude from suggesting inconsistent patterns or re-introducing previously solved issues.

Does it distinguish between facts and reasoning?

Yes, it searches both Episodic memories for specific facts/decisions and Thinking memories for the underlying reasoning patterns used previously.

When is the best time to use Proactive Recall?

It is most effective during architectural planning, library selection, complex debugging, and major refactoring tasks where project history is vital.

Proactive Memory Recall

Name: Proactive Memory Recall
Author: SyntesseraAI

bySyntesseraAI

生産性とワークフロー

Ensures consistent coding decisions by retrieving past architectural choices, library selections, and debugging history from local memory before proposing new solutions.

概要

Proactive Memory Recall is a specialized context-management skill for Claude Code designed to maintain project continuity and prevent contradictory implementations. By enforcing a mandatory memory-search workflow, it enables Claude to tap into episodic facts and reasoning patterns from previous sessions before suggesting architectural changes, library selections, or refactors. This skill is essential for complex, long-term projects where maintaining a consistent logic and honoring past technical decisions is critical to reducing technical debt and avoiding repetitive mistakes.

主な機能

Context-driven search of episodic and thinking memories
Pre-emptive retrieval for architectural and implementation decisions
Scope-filtered searching by file path or specific project area
Historical root-cause analysis for faster debugging
0 GitHub stars
Automatic documentation of new decisions for future retrieval

ユースケース

Maintaining architectural consistency when implementing new features in a large codebase
Recalling the rationale behind specific library choices or rejected alternatives
Resolving complex bugs by referencing similar historical fixes and reasoning patterns

概要

主な機能

Context-driven search of episodic and thinking memories
Pre-emptive retrieval for architectural and implementation decisions
Scope-filtered searching by file path or specific project area
Historical root-cause analysis for faster debugging
0 GitHub stars
Automatic documentation of new decisions for future retrieval

ユースケース

Maintaining architectural consistency when implementing new features in a large codebase
Recalling the rationale behind specific library choices or rejected alternatives
Resolving complex bugs by referencing similar historical fixes and reasoning patterns