Beam AI Team
Official@beam-ai-team
Offers a modular framework for orchestrating enterprise integrations, managing agent graph lifecycles, and standardizing project documentation across distributed technical teams.
Agent Skills by Beam AI Team
Showing 144 vetted skills indexed across 1 GitHub repositories.
beam-ai-teamokr-self-review
Generate structured performance self-reviews from Notion, Nexus, Slack, and Fathom data.
beam-ai-teamplan-project
Generate overview, discovery, plan, and steps files with a 4-folder structure.
beam-ai-teamabstract
Map complex concepts to paradigms and visual hierarchies with analogies.
beam-ai-teamqa-test-case-writer
Generate UI test cases from feature documentation into Notion databases.
beam-ai-teamexpert-review
Deliver multi-persona expert feedback with verdicts and actionable recommendations.
beam-ai-teamcreate-master-skill
Create reusable master skills centralizing shared resources for integration skills.
beam-ai-teamdata-baker
Generate realistic synthetic datasets for AI agent training and testing.
beam-ai-teamcreate-roadmap
Generate a prioritized roadmap YAML from goals and context.
beam-ai-teamexpert-improve
Automate iterative expert refinement of drafts through multi-round reviews.
beam-ai-teammanager-review
Aggregate OKRs, updates, and evidence from Notion, BEO, and Fathom into a manager briefing.
beam-ai-teamqa-checklist
Transform technical AI documentation into business-owner cheatsheets with Markdown sections.
beam-ai-teamemail-automation
Classifies Gmail messages into five categories and generates drafts.
beam-ai-teamfollow-up-automation
Analyze call transcripts to extract requirements and generate follow-up emails.
beam-ai-teamallhands-prep
Organize all-hands planning with structured agendas, templates, and checklists.
beam-ai-teamultrathink
Critique content from five perspectives and generate a YAML-style synthesis report.
beam-ai-teamcreate-ruleset
Define synthetic data generation rulesets through an interactive interview process.
beam-ai-teamlist-skills
Catalog available skills with frontmatter metadata for external filtering.
beam-ai-teamwrite-integration-ticket
Transform API documentation into structured Linear integration tickets.
beam-ai-teamdealroom-creation
Create standardized dealroom folder hierarchies for new sales prospects.
beam-ai-teamextract-requirements
Extract requirements from meetings and documents into structured Markdown domain files.
beam-ai-teamprompt-versioning
Manage AI prompts with version history, ticket linkage, and safe rollback.
beam-ai-teamcreate-meeting-minutes
Transform meeting transcripts into structured Markdown minutes with action items.
beam-ai-teaminterview-coach
Analyze interview transcripts against job descriptions to surface strengths and gaps.
beam-ai-teamlead-research
Research prospects and assess fit for Beam using outreach materials.
Frequently Asked Questions About Beam AI Team
FAQPage SchemaWhat specific tasks can I perform using Beam AI Team's skill registry?▼
You can orchestrate cross-platform data synchronization between services like Notion, Linear, and HubSpot, manage the full lifecycle of agent graphs, generate synthetic datasets for testing, and standardize project documentation through structured Markdown and YAML templates.
Who is the target persona for these integration and management skills?▼
These skills are designed for technical leads, systems architects, and operations engineers who need to bridge disparate enterprise platforms and manage the deployment, monitoring, and optimization of complex graph-based logic.
What are the prerequisites for deploying these integration skills?▼
Deployment requires a configured Beam Next workspace, valid OAuth2 credentials for the target services (e.g., Google Workspace, Linear, HubSpot), and the installation of the relevant master skill libraries to handle authentication and resource management.