remembering-conversations
Search conversation history to avoid reinventing solutions and inform architectural decisions.
Works with
What it does
Dispatch the search-conversations subagent to query past conversations; the agent synthesizes results into actionable insights with sources
Use after understanding the task when facing \"how should I...\" questions, architectural decisions, or unfamiliar workflows
Activate when stuck on complex problems, following past patterns, or when user references previous work or decisions
Avoid se
Documentation
Installation Guide
How to use remembering-conversations on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
remembering-conversations
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches remembering-conversations from obra/episodic-memory and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate remembering-conversations. Access via /remembering-conversations in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Use Cases
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale