Configure Lindy AI CI/CD integration with GitHub Actions and testing. Use when setting up automated testing, configuring CI pipelines, or integrating Lindy tests into your build process. Trigger with phrases like "lindy CI", "lindy GitHub Actions", "lindy automated tests", "CI lindy pipeline".
Troubleshoot common Lindy AI errors and issues. Use when encountering errors, debugging agent failures, or resolving integration problems. Trigger with phrases like "lindy error", "lindy not working", "debug lindy", "lindy troubleshoot".
Core Lindy workflow for creating and configuring AI agents. Use when building new agents, defining agent behaviors, or setting up agent capabilities. Trigger with phrases like "create lindy agent", "build lindy agent", "lindy agent workflow", "configure lindy agent".
Core Lindy workflow for automating tasks and scheduling agents. Use when setting up automated workflows, scheduling agent runs, or creating trigger-based automations. Trigger with phrases like "lindy automation", "schedule lindy agent", "lindy workflow automation", "automate with lindy".
Optimize Lindy AI costs and manage usage efficiently. Use when reducing costs, analyzing usage patterns, or optimizing budget allocation. Trigger with phrases like "lindy cost", "lindy billing", "reduce lindy spend", "lindy budget".
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Build production agent workflows with empirical verification - Complete teaching system with guides, diagrams, and working examples.
→ Start Here: 5-Minute Introduction | → Visual Architecture Map | → System Summary
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Guides (90+ pages) |
Reference Implementation |
What you'll learn: Turn "LLM analyzed my code" into "LLM + script verified with evidence" - The pattern for production-ready agent systems.
Claude Code plugins with embedded agent skills and interactive tutorials
npx claudepluginhub bitbarrelllc/claude-code-plugins-plus-skills --plugin lindy-packPersistent file-based planning for AI coding agents. Crash-proof markdown plans (task_plan.md, findings.md, progress.md) that survive context loss and /clear, with an opt-in completion gate and multi-agent shared state. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard. Includes Arabic, German, Spanish, and Chinese (Simplified and Traditional).
Evidence-gated AI coding workflow: scan → analyze → plan → TDD → execute → fix → verify → review, powered by Codebase Memory MCP >= 0.9.0 with optional Serena LSP intelligence. Includes blast-radius planning, test/cycle gates, independent review, and Windows Git Bash hook auto-resolution.
v9.54.1 — Reliability wave: tangle contextual review correction loop with hard round ceiling, progress-supervised review rounds (per-agent stall watch, descendant-tree kills), council diversity and agy pin fixes, marketplace generator source-of-truth fix, provider troubleshooting runbook and cost-expectations docs. Run /octo:setup.
Claude harness - A harness for solo developers (Vibecoders) to handle full-cycle contract development.
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
Plugin-safe Claude Code distribution of Agentic Awesome Skills with 1,916 supported skills.
Claude Code skill pack for Juicebox (24 skills)
Google Agent Development Kit (ADK) SDK starter kit for building Claude-powered AI agents with React patterns, multi-agent orchestration, and tool integration
Terraform configurations for Vertex AI platform and Agent Engine
Generate comprehensive test reports with coverage, trends, and stakeholder-friendly formats
Analyze code coverage metrics, identify untested code, and generate comprehensive coverage reports