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-watchers | Configures monitoring agents with intervals and targets |
| 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 ./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 ./skill-name --verbose
Run tests
uv run pytest scripts/tests/ -v
Creating a New Skill
cp -r SKILL_TEMPLATE my-new-skill
Each skill follows the Agent Skills Specification:
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
License
This project is licensed under the MIT License. See LICENSE for details.