"The secret of getting ahead is getting started. The secret of getting started is breaking your complex overwhelming tasks into small manageable tasks, and starting on the first one."
Showing 12 of 60 systems
## What This Workflow Does This workflow brings data-driven objectivity to product management. It aggregates feedback from Slack, Intercom, and Support tickets, cross-references it with your business OKRs, and uses AI to generate an impact/effort score for every item in your backlog. It then visually updates your roadmap in Linear or Productboard, highlighting the 'North Star' features that will drive the most value. ## Who It's For Product Managers and Founders who need to move away from 'gut feel' prioritization and build a roadmap that actually moves the needle on their core metrics. ## What You'll Need - Linear, Jira, or Productboard API access - Slack or Intercom integration - Claude 3.5 Sonnet API - Estimated setup time: 3 hours ## What You Get - Dynamic, weighted prioritization of your entire backlog - Weekly 'Strategy Brief' explaining roadmap shifts - Automated tagging of feedback to specific feature requests
## What This Workflow Does This agent acts as a continuous quality guard for your codebase. It scans your GitHub repositories for complex functions, duplicated logic, and outdated library patterns. It then uses Claude 3.5 Sonnet to draft refactored code, runs a local test suite to verify the changes, and opens a Pull Request with a detailed explanation of the improvements. ## Who It's For CTOs and Engineering Managers who want to keep their codebase healthy without pulling developers away from critical roadmap features. ## What You'll Need - GitHub App or Personal Access Token - Anthropic API key - CI/CD environment (GitHub Actions or Jenkins) - Estimated setup time: 2 hours ## What You Get - Automatic identification of 'code smells' and complexity hotspots - Validated refactor suggestions delivered as PRs - 20% reduction in long-term maintenance costs
## What This Workflow Does This workflow is a high-volume production line for digital content. It takes a single topic or source URL and simultaneously generates an SEO-optimized blog post, a script for short-form video, and a suite of high-fidelity visual assets using DALL-E 3. It ensures brand consistency across both text and imagery by using Claude to orchestrate the creative direction and image prompts. ## Who It's For Content marketing teams and digital agencies that need to maintain a presence across multiple platforms (Blog, Instagram, LinkedIn, TikTok) with high-quality, relevant assets. ## What You'll Need - n8n or Zapier account - Anthropic API (Claude 3.5 Sonnet) - OpenAI API (DALL-E 3) - Estimated setup time: 45 minutes ## What You Get - 1,200+ word blog post and video script - 5 custom-generated high-res images matching the content - Automated distribution to CMS and social media
## What This Workflow Does This workflow turns the OpenBuff terminal into an agentic command center for HubSpot. Instead of manual data entry, users issue high-level commands like 'Find all high-value deals in New York and summarize their last interactions.' The agent crawls HubSpot records, synthesizes context using LLMs, and executes bulk updates or logs notes autonomously. ## Who It's For Sales Ops and RevOps managers who need to maintain clean CRM data and extract quick insights without navigating through complex HubSpot dashboards. ## What You'll Need - OpenBuff AI Terminal - HubSpot Developer API Key - Claude 3.5 Sonnet API - Estimated setup time: 30 minutes ## What You Get - Instant CRM audits and summaries via terminal commands - Automated note logging and deal stage transitions - 15+ hours/month saved on manual CRM maintenance
## What This Workflow Does This workflow leverages the OpenBuff AI Terminal to generate production-ready TypeScript boilerplate for complex AI workflows. By providing a high-level description of an automation, the agent analyzes the requirements, defines the necessary data schemas using Zod, and generates a structured n8n-compatible TypeScript class. It automates the 'blank page' problem for developers, ensuring best practices in error handling and type safety are baked in from the start. ## Who It's For Backend developers and DevOps engineers who want to accelerate the development of custom AI agents and workflows within the OpenBuff ecosystem or n8n environments. ## What You'll Need - OpenBuff AI Terminal access - Node.js environment with TypeScript - Anthropic or OpenAI API key - Estimated setup time: 15 minutes ## What You Get - Full TypeScript boilerplate with Zod schemas - Pre-configured error handling and logging patterns - 80% reduction in initial workflow coding time
## What This Workflow Does This workflow implements a 'Self-Healing' development environment using the OpenBuff Interactive Debugger. When your application throws a runtime error or a test fails during local development, OpenBuff automatically captures the stack trace and state, enters an interactive debugging mode, identifies the root cause, and proposes a fix. It's like having a senior engineer sitting next to you who has already read every line of your codebase and knows exactly why that 'undefined is not a function' error is happening. ## Who It's For Developers working on complex systems where debugging deeply nested state or obscure API failures takes more time than writing the actual features. ## What You'll Need - OpenBuff CLI (latest version) - Node.js / React environment - OpenAI or Anthropic API Key - Basic understanding of terminal commands - Estimated setup time: 10 minutes ## What You Get - Automatic root cause analysis for runtime errors - One-click 'Apply Fix' for common bugs - Deep integration with VS Code and standard terminal logs - Saves 8+ hours/week of frustrating trial-and-error debugging
## What This Workflow Does This workflow leverages the OpenBuff AI Terminal to bypass the traditional IDE-to-GitHub dance. You provide a high-level feature request ('Add a dark mode toggle to the header' or 'Implement a forgot password API'), and OpenBuff autonomously scans your local codebase, identifies the necessary changes across multiple files, generates the code, runs local tests, and commits the changes directly to your branch with a clean message. It turns your terminal into a co-author that understands your entire project architecture. ## Who It's For Solo developers and small teams who want to accelerate their feature velocity by delegating routine boilerplate and cross-file refactoring to an AI that lives in their shell. ## What You'll Need - OpenBuff Terminal (CLI installed) - Anthropic API Key (Claude 3.5 Sonnet) - A TypeScript or Next.js project - Git initialized in your project folder - Estimated setup time: 15 minutes ## What You Get - Multi-file feature implementation from a single prompt - Automated local testing before every commit - Perfectly formatted, consistent code that matches your style - Saves 12+ hours/week of manual coding and context switching
## What This Workflow Does This workflow transforms the Hermes Agentic OS into a powerful personal assistant accessible via WhatsApp. Using Twilio and the Hermes persistent memory layer, you can send natural language requests (like 'Book a meeting', 'Summarize my unread emails', or 'Remind me to buy milk') directly to your agent. The agent uses its contained sub-agents to execute tasks across your digital tools and replies back to your WhatsApp thread with status updates or questions. ## Who It's For Busy founders and professionals who want the power of a custom-tuned AI agent without needing to open a laptop or use a complex UI while on the go. ## What You'll Need - Twilio Account (with a WhatsApp-enabled number) - Hermes Agentic OS instance - Google Calendar & Gmail API access - OpenAI API Key - Estimated setup time: 60 minutes ## What You Get - 24/7 Agentic OS access from any device with WhatsApp - Natural language task delegation (email, calendar, reminders) - Multi-turn conversation support with long-term memory - Saves 5+ hours/week on administrative micro-tasks
## What This Workflow Does This workflow creates an autonomous 'Self-Healing' CI/CD pipeline using Hermes AI sub-agents. When a build or test fails in your CI environment, Hermes intercepts the error, spins up a contained sub-agent to analyze the code diff and logs, generates a surgical fix, and opens a 'Self-Correction' Pull Request. It doesn't just report errors; it repairs them in real-time by understanding the intent behind the failing code. ## Who It's For DevOps Engineers and Technical Leads managing high-velocity projects where manual debugging of common CI failures (linting, dependency mismatches, or simple logic errors) is a bottleneck. ## What You'll Need - Hermes AI Platform access - GitHub Actions or GitLab CI setup - OpenAI API Key (GPT-4o) - Repository write permissions - Estimated setup time: 2 hours ## What You Get - Automatic repair of 60% of common build and test failures - Detailed AI-generated post-mortems for every failure - Reduced Mean Time to Recovery (MTTR) by 85% - Saves 15+ hours/week for senior developers
## What This Workflow Does This advanced workflow implements a recursive self-improvement loop for AI agents using the Hermes Agentic OS. It enables an agent to monitor its own execution for capability gaps, autonomously generate new skill manifests using `claude-3-5-sonnet`, validate them in a sandboxed Docker environment, and hot-load the verified skills into its active runtime without a restart. The system ensures that the agent becomes more capable the longer it runs. ## Who It's For AI Engineers and R&D teams building autonomous agents that need to adapt to new APIs or edge cases in production without manual intervention or redeployment cycles. ## What You'll Need - Hermes Agentic OS (Self-hosted) - Anthropic API Key (Claude 3.5 Sonnet) - Docker installed on the host machine - GitHub Personal Access Token for skill persistence - Estimated setup time: 3 hours ## What You Get - Zero-downtime autonomous capability expansion - Recursive error correction and skill refinement - Reduction in manual prompt engineering effort by 70% - Saves 10+ hours/week in agent maintenance and updates
## What This Workflow Does This workflow sets up a self-evolving Hermes AI agent that continuously monitors designated information sources (RSS, Twitter, News APIs), synthesizes the data, and maintains a persistent memory system (using `USER.md` and `MEMORY.md`). It provides a daily structured briefing. ## Who It's For Founders, investors, and researchers who suffer from information overload and need a curated, highly personalized daily intelligence digest. ## What You'll Need - Hermes AI or compatible persistent agent framework - Access to RSS feeds or news APIs - Local filesystem for persistent memory files - Estimated setup time: 120 minutes ## What You Get - Automated, contextualized daily briefings - A searchable 'Second Brain' of processed information - Reduction in manual doomscrolling and news gathering - Time on research reduced from 15 hrs/week to 2 hours
## What This Workflow Does This workflow instructs Claude Code to read internal architectural documentation (like `GEMINI.md` or `ARCHITECTURE.md`) before attempting to debug an issue. It ensures the AI respects system design constraints and existing patterns when proposing fixes. ## Who It's For Engineering teams with established conventions who are tired of AI coding assistants suggesting generic, out-of-context fixes that break architectural rules. ## What You'll Need - Claude Code CLI - Well-maintained internal markdown documentation - Estimated setup time: 15-30 minutes ## What You Get - Highly contextualized bug fixes that respect your architecture - Zero 'hallucinated' libraries or anti-patterns - Automated adherence to project guidelines - Saves 4 hours/week on reviewing bad AI code