Agent skill · data analytics · jeremylongshore
lindy-debug-bundle
Comprehensive debugging toolkit for Lindy AI agents.
Why this skill is useful
Adds executable scripts for diagnosing and collecting diagnostics specific to Lindy AI agents that are not widely known.
What it needs
Requires curl installed locally. Requires lindy account access. About 4k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
Lindy Debug Bundle Current State !node --version 2>/dev/null echo 'Node.js not installed' !python3 --version 2>/dev/null echo 'Python not installed' !curl --version 2>/dev/null head -1 echo 'curl not installed' Overview Systematic diagnostics for Lindy AI agent issues. Collects environment info, tests API connectivity, reviews agent task history, and generates a support bundle for Lindy's support team. Prerequisites Access to Lindy dashboard (https://app.lindy.ai) curl installed for API testing Agent ID and webhook URLs available Instructions Step 1: Collect Environment Info Step 2: Test Webhook Connectivity Step 3: Review Agent Task History In the Lindy dashboard: 1. Navigate to the failing agent 2. Open the Tasks tab 3. Filter by Failed status 4. For each failed task: Note the timestamp Click to expand step-by-step execution Identify the failing step (marked red) Copy the error message and input/output data 5. Look for patterns: same step failing? same time of day? same input type? Step 4: Check Integration Health Step 5: Diagnose Specific Failure Types Trigger not firing: Verify agent status: active (not paused) Check trigger filter conditions For webhooks: test URL with curl For email: re-authorize Gmail/Outlook For schedule: verify timezone settings Action failing: Check integration authorization (re-auth if token expired) Verify field references: {{stepname.field}} syntax correct Test the target service independently Check if action is a Premium Action (requires Pro plan) Agent step looping: Review exit conditions — are they achievable? Check credit consumption (rapid drain = looping) Reduce available skills to 2-4 focused ones Add a fallback exit condition High credit consumption: Review model selection: Gemini Flash (cheap) vs GPT-4 (expensive) Check for unnecessary agent steps (use deterministic actions instead) Review loop configurations for unbounded max cycles Step 6: Generate Support Bundle Compile the following for a support ticket to support@lindy.ai: …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/lindy-debug-bundle--dce6e3