skills.rest
jsschrstrcks1
jsschrstrcks1COMMUNITY
Explore all skills by this author →
WebsiteGitHub

cognitive-memory

Preserve context across Claude Code sessions with semantic memory recall.

Updated Feb 15, 2026
Search Tags:#versioning#recall#memory#consolidation#knowledge-graph#semantic-search#tf-idf
One-click install
npx skills add https://github.com/jsschrstrcks1/manateecreeksheep --skill cognitive-memory-jsschrstrcks1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cognitive-memory
Source: https://github.com/jsschrstrcks1/manateecreeksheep/tree/main/.claude/skills/cognitive-memory
Command: npx skills add https://github.com/jsschrstrcks1/manateecreeksheep --skill cognitive-memory-jsschrstrcks1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Persistent context across Claude Code sessions supports continuity, semantic recall, and reasoning over long-running tasks.

Core Features & Use Cases

  • Semantic recall via TF-IDF search to surface relevant memories
  • Memory versioning and knowledge-graph linking to resolve contradictions
  • Domain-scoped memory store with decay-based consolidation for long-running projects
  • Cross-session context maintenance for consistent guidance and decision-making

Quick Start

Recall my recent memories about flock parasite resistance across sessions.

Frequently Asked Questions about cognitive-memory

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

FAQPage Schema
How do I maintain persistent memory across Claude Code sessions?▼

A local domain-scoped memory store preserves context across Claude Code sessions, enabling cross-repository knowledge retention and continuity for long-running tasks.

What is semantic recall and how does it work for development context?▼

Semantic recall uses TF-IDF search to surface relevant memories from the local store, allowing retrieval of development, planning, and debugging context across sessions.

How do I resolve contradictions in memory versioning during debugging?▼

Memory versioning and knowledge-graph linking resolve contradictions by tracking changes over time and connecting related concepts, ensuring consistent guidance across sessions.

Does cross-repository knowledge retention work with decay-based consolidation?▼

Cross-repository knowledge retention uses decay-based consolidation to manage the local domain-scoped store, automatically prioritizing relevant long-running project context over stale data.

Can I recall specific memories from previous sessions without manual searching?▼

You can recall specific memories from previous sessions using semantic search queries, which trigger the defined operations interface to surface relevant stored context automatically.

When should I use a knowledge-graph linked memory store for software engineering?▼

A knowledge-graph linked memory store is needed for long-running tasks requiring cross-session context maintenance, contradiction resolution, and consistent guidance across repositories.

Related Skills

Explore More Software Engineering Skills→
raybirdraybird
1

memory

Manage long-term memory storage and retrieval for AI agents via CLI.

Community
Intermediate
rush-dbrush-db
320

rushdb-agent-memory

Store and link agent memories as structured records in RushDB.

Official
Advanced
qualixarqualixar
206

slm-remember

Store user content locally in SuperLocalMemory with automatic indexing and a knowledge graph.

Official
Intermediate
blackplume233blackplume233
12

conversation-management

Manage multi-turn dialogue context and session lifecycle for AI conversations.

Community
Intermediate