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Ask

Skill altertable-ai/skills/skills/ask

Agent Skills for Altertable

Install
npx -y skills add altertable-ai/skills --skill ask

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 7 stars7 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Routes user queries to the best-fit Altertable skill. Use when unsure which Altertable skill applies to a request.

SKILL.md

3.7 KB, as published. Nobody here has run it

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

  1. Read the user's query.
  2. If using Altertable MCP tools, call initialize before any other Altertable tool so organization, environment, and knowledge context are correct.
  3. Match the query against the routing table below, then apply the rules.
  4. Activate the matched skill in your harness, passing the original query through so the matched skill has full context.
  5. If the query is Altertable-related but no skill matches with confidence, use understand-platform to orient the user.

For data questions, route to explore-data when schema is unclear; otherwise route to query-lakehouse.

Routing Table

SkillWhen to route
explore-dataDiscover what data exists: catalogs, schemas, tables, columns, semantic models
query-lakehouseAnswer questions that require querying lakehouse data using SQL
analyze-funnelsBuild or analyze a step-by-step conversion flow (drop-off between ordered events)
analyze-web-trafficWeb analytics: pageviews, sessions, traffic sources, UTM, device, country breakdowns
analyze-insightsInterpret an existing Insight or visualization the user is looking at
build-segmentsDefine or compare user cohorts by properties (not step-based)
forecast-timeseriesProject future metric values or detect whether a change is within normal range
instrument-product-analyticsAdd or change event tracking, identification, traits, consent, session reset, or identity aliasing in an application
query-product-eventsQuery or analyze existing product events, properties, identities, traits, or instrumentation delivery
create-insightsCreate a new Insight that will be saved and visible to users
create-discoveriesCreate a discovery from a meaningful finding that should notify users and enter review
decide-actionsDecide which insight or task type to use, or whether to create / update / skip a discovery
manage-discoveriesReview, approve, or reject existing discoveries and process user feedback on them
configure-tasksSet up a scheduled AI task (anomaly detection, forecast, monitor) that runs on a cron
use-memorySearch or create agent memories; create organization knowledge only when the user explicitly asks
evaluate-skillsReview or author agent skills themselves (skill structure, spec, quality)
understand-platformExplain 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

  1. Single best match: pick one skill. Do not fan out.
  2. Prefer the narrower skill: when two skills could match, prefer the more specific one.
  3. Data-first when intent is vague: if the user wants to analyze data but does not specify how, start with explore-data.
  4. Fallback for unknown queries: if nothing matches with confidence, route to understand-platform.
  5. Pass context through: hand the original query to the matched skill.
  6. Never invent a skill: only invoke skills that are actually installed.
  7. Clarify before routing: if the query could reasonably mean different things, propose the most likely directions and let the user choose.
  8. Separate writes from analysis: route application or ingestion changes to instrument-product-analytics; route questions about stored event data to query-product-events.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.