background-agent-pings
Trust system reminders as agent progress notifications. Don't poll.
Works with
Installation Guide
How to use background-agent-pings 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
background-agent-pings
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches background-agent-pings from parcadei/continuous-claude-v3 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 background-agent-pings. Access via /background-agent-pings 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.
Documentation
Background Agent Pings
Trust system reminders as agent progress notifications. Don't poll.
Pattern
When you launch a background agent, continue working on other tasks. The system will notify you via reminders when:
- Agent makes progress:
Agent <id> progress: X new tools used, Y new tokens - Agent writes output file (check the path you specified)
DO
1. Task(run_in_background=true, prompt="... Output to: .claude/cache/agents/<type>/output.md")
2. Continue with next task immediately
3. When system reminder shows agent activity, check if output file exists
4. Read output file only when agent signals completion
DON'T
# BAD: Polling wastes tokens and time
Task(run_in_background=true)
Bash("sleep 5 && ls ...") # polling
Bash("tail /tmp/claude/.../tasks/<id>.output") # polling
TaskOutput(task_id="...") # floods context
Why This Matters
- Polling burns tokens on repeated checks
TaskOutputfloods main context with full agent transcript- System reminders are free - they're pushed to you automatically
- Continue productive work while waiting
Source
- This session: Realized polling for agent output wasted time when system reminders already provide progress updates
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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