altertable

Altertable Skills

A collection of Agent Skills for Altertable AI agents. Skills are portable, version-controlled packages of instructions, scripts, and references that give agents new capabilities.

What are Agent Skills?

Agent Skills are an open standard for giving AI agents specialized capabilities. Each skill is a self-contained folder with a SKILL.md file containing instructions that agents load on demand. Build once, use across any compatible platform.

Quick Start with /altertable:ask

Don't know which skill to use? Just type:

/altertable:ask <your question>

The /altertable:ask command routes your query to the best skill automatically. Examples:

• /altertable:ask show me my web traffic -> analyzing-web-traffic
• /altertable:ask what tables do I have? -> exploring-data
• /altertable:ask analyze my signup funnel -> analyzing-funnels
• /altertable:ask what is Altertable? -> understanding-platform

Available Skills

Skill	Description
analyzing-funnels	Creates and analyzes conversion funnels to understand user journeys
analyzing-insights	Interprets chart data to identify patterns, anomalies, and trends
analyzing-web-traffic	Analyzes web analytics data to identify traffic patterns
building-segments	Creates user segments and cohorts using filters and dimensions
configuring-tasks	Configures autonomous background tasks for AI analysis
creating-insights	Creates discoveries with insights through the approval workflow
deciding-actions	Decision matrices for choosing insight types and discovery actions
evaluating-skills	Evaluates and creates agent skills following best practices
exploring-data	Explores data connections and schemas
forecasting-timeseries	Analyzes time series data for trends, anomalies, and forecasts
managing-discoveries	Manages the discovery approval workflow and user feedback
querying-lakehouse	Writes and executes SQL queries against the DuckDB Lakehouse
tracking-events	Works with product analytics events and user identification
understanding-platform	Explains platform concepts and architecture
using-memory	Stores and retrieves agent memories for learning and context

Getting Started

git clone https://github.com/altertable-ai/skills.git
cd skills
uv sync
uv run pre-commit install

Validate a skill

uv run skills validate ./skills/skill-name

Score a skill

Every skill is scored by an LLM judge against the Agent Skills spec (threshold: 70/100):

uv run python scripts/score-skills.py ./skills/skill-name --verbose

Run tests

uv run pytest scripts/tests/ -v

Creating a New Skill

cp -r skills/SKILL_TEMPLATE skills/my-new-skill

Each skill follows the Agent Skills Specification:

skills/
  skill-name/
    SKILL.md          # Required: metadata + instructions
    references/       # Optional: detailed documentation
    scripts/          # Optional: executable code
    assets/           # Optional: templates, resources

See CONTRIBUTING.md for full guidelines.

Compatibility

Skills follow the open Agent Skills standard and work across 30+ compatible platforms:

Claude Code | Cursor | VS Code | Gemini CLI | OpenAI Codex | GitHub Copilot | Goose | Roo Code | OpenHands | and more

Resources

• Agent Skills Specification
• Altertable
• Anthropic Skills Examples

License