Agent Skills by Kollabor.ai
Showing 56 vetted skills indexed across 1 GitHub repositories.
kollabor-harness
Customize and troubleshoot the Kollab terminal AI harness with Python plugins and JSON lifecycle hooks.
worldbuilding
Guide structured worldbuilding phases with consistency tracking and rule logs.
learning-roadmap
Generate phased learning roadmaps with curated resources and progress tracking templates.
knowledge-management
Create a structured local technical knowledge base with automated indexing.
cli-pretty
Create terminal UI styling with ANSI escape codes and the Kollab Agnoster design system.
explore-agent-system
Inspect Kollab agent directories and verify agent.json configurations.
database-design
Design normalized SQLAlchemy schemas and configure Alembic migrations for relational databases.
analyze-terminal-rendering
Diagnose terminal rendering bugs in the Kollab workspace using grep patterns and log inspection.
dialogue-craft
Rewrite flat dialogue with layered subtext and distinct character voices.
experimentation
Run structured 7-phase experiments to evaluate new tools and frameworks.
pandas-data-manipulation
Apply pandas best practices for loading, cleaning, transforming, and aggregating tabular data.
character-development
Creates structured multi-phase workflows for developing consistent fictional characters.
exploratory-data-analysis
Run an 8-phase EDA workflow on tabular data with quality checks and reporting.
monitor-event-bus
Monitor real-time event bus activity and measure hook execution times.
data-visualization
Create static and interactive data visualizations with matplotlib, seaborn, and Plotly.
dead-code
Detect and categorize dead code across Python, JavaScript, and TypeScript codebases.
git-workflow
Enforce professional Git practices for atomic commits and clean linear history.
api-integration
Generate standardized REST/GraphQL API clients with authentication, rate limiting, and error handling.
sql-query-optimization
Analyze EXPLAIN plans and execution times to optimize SQL queries.
code-review
Review pull requests for security, performance, and code quality issues.
debugging
Diagnose Python software defects using systematic elimination phases.
validate-config
Validate Kollab configuration files for syntax, required settings, and conflicts.
xlsx
Create, edit, analyze, and convert Excel spreadsheet files with formulas.
Automate PDF text extraction, merging, form filling, and OCR with Python libraries.