Ask
Agent Skills for Altertable
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Routes user queries to the best-fit Altertable skill. Use when unsure which Altertable skill applies to a request.
SKILL.md
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Altertable Ask
Central entry point for Altertable skills. Every Altertable task starts here. Match the user query to the best available skill and hand off.
Procedure
- Read the user's query.
- If using Altertable MCP tools, call
initializebefore any other Altertable tool so organization, environment, and knowledge context are correct. - Match the query against the routing table below, then apply the rules.
- Activate the matched skill in your harness, passing the original query through so the matched skill has full context.
- If the query is Altertable-related but no skill matches with confidence, use
understand-platformto orient the user.
For data questions, route to explore-data when schema is unclear; otherwise route to query-lakehouse.
Routing Table
| Skill | When to route |
|---|---|
explore-data | Discover what data exists: catalogs, schemas, tables, columns, semantic models |
query-lakehouse | Answer questions that require querying lakehouse data using SQL |
analyze-funnels | Build or analyze a step-by-step conversion flow (drop-off between ordered events) |
analyze-web-traffic | Web analytics: pageviews, sessions, traffic sources, UTM, device, country breakdowns |
analyze-insights | Interpret an existing Insight or visualization the user is looking at |
build-segments | Define or compare user cohorts by properties (not step-based) |
forecast-timeseries | Project future metric values or detect whether a change is within normal range |
instrument-product-analytics | Add or change event tracking, identification, traits, consent, session reset, or identity aliasing in an application |
query-product-events | Query or analyze existing product events, properties, identities, traits, or instrumentation delivery |
create-insights | Create a new Insight that will be saved and visible to users |
create-discoveries | Create a discovery from a meaningful finding that should notify users and enter review |
decide-actions | Decide which insight or task type to use, or whether to create / update / skip a discovery |
manage-discoveries | Review, approve, or reject existing discoveries and process user feedback on them |
configure-tasks | Set up a scheduled AI task (anomaly detection, forecast, monitor) that runs on a cron |
use-memory | Search or create agent memories; create organization knowledge only when the user explicitly asks |
evaluate-skills | Review or author agent skills themselves (skill structure, spec, quality) |
understand-platform | Explain Altertable concepts, architecture, or how agents work |
When a skill is added, renamed, or removed from this repository, update this table in the same change.
Routing Rules
- Single best match: pick one skill. Do not fan out.
- Prefer the narrower skill: when two skills could match, prefer the more specific one.
- Data-first when intent is vague: if the user wants to analyze data but does not specify how, start with
explore-data. - Fallback for unknown queries: if nothing matches with confidence, route to
understand-platform. - Pass context through: hand the original query to the matched skill.
- Never invent a skill: only invoke skills that are actually installed.
- Clarify before routing: if the query could reasonably mean different things, propose the most likely directions and let the user choose.
- Separate writes from analysis: route application or ingestion changes to
instrument-product-analytics; route questions about stored event data toquery-product-events.