Brian Weisberg
Community@weisberg · Wilmington, DE, USA
Agent Skills by Brian Weisberg
Showing 39 vetted skills indexed across 2 GitHub repositories.
agent_tools
Create, modify, and validate Excel workbooks with atomic file transactions.
vaultli
Organize, validate, and search document collections using JSONL indexes.
lira
Manage local YAML issue tickets with Jira and GitHub sync.
bashli
Orchestrate shell commands from JSON or YAML specs with variable scope.
jirali
Perform Jira operations via a protocol-compliant CLI with JSON exchanges.
tools/mdli
Edit, validate, and synchronize structured Markdown files in automated workflows.
tools/vizli
Discover, validate, render, and verify visualization templates across multiple engines and formats.
barli
Create macOS menu bar utilities from Python and YAML configurations.
tools/docli
Inspect, edit, create, and validate Word .docx documents via structured commands.
framerli
Manage Framer projects via CLI for inspection, modification, and deployment.
notionli
Manage Notion pages, blocks, and schemas via deterministic CLI commands.
deckli
Automate PowerPoint slide creation, updates, and validation via CLI commands.
clipli
Processes clipboard text and images with commands for converting and saving templates.
explainer
Create interactive HTML files with embedded SVG to explain concepts.
visualizer
Convert data files and parameters into charts and diagrams using vizli templates.
skill-creator
Guide creation of structured modular skills with SKILL.md templates.
Codex-md-author
Generate AGENTS.md files documenting project architecture, commands, and conventions.
scrum-master
Guide Scrum teams through sprint planning, retrospectives, and backlog grooming.
github-issues
Create, edit, search, and bulk-manage GitHub issues via CLI.
claude-md-author
Generates and refines CLAUDE.md files documenting project context, workflows, and conventions for Claude.
experiment-report
Generate a complete experiment report from A/B test results and design context.
design-experiment
Design A/B experiments with hypotheses, metrics, randomization, and guardrails.
review-experiment
Audit A/B experiment code across seven review categories for correctness issues.
analyze-results
Run A/B analysis with SRM checks and statistical tests in Python.