Search the Athena Tools knowledge base. Returns views, columns, API endpoints, workflows, FHIR resources, gotchas, and error patterns relevant to the query. Every result includes a confidence score and the source tier (primary = verified live data, secondary = scraped docs, reference = public repos).

Returns detailed information about an athenahealth Snowflake DataView view: description, columns with data types, known enum values, FK relationships, and any operational gotchas. Use this before writing SQL against any view.

Explains how to join two athenahealth Snowflake DataView views. Returns the join columns, confidence level, known warnings (e.g. CONTEXTID requirements, multi-tenant row-level security), and a sample SQL snippet. Always call this before writing a JOIN to avoid silent data loss from incorrect key usage.

Diagnoses an athenahealth API or Snowflake DataView error. Returns likely causes, suggested fixes, and links to relevant knowledge base content. Handles HTTP status codes, athenahealth-specific error strings, OAuth/scope errors, and SQL errors.

Explains a named athenahealth clinical or administrative workflow: the intended sequence of steps inside athenaOne, the API calls that correspond to each step, the Snowflake views that capture the workflow state, and common integration mistakes. Use this to understand the INTENDED system behaviour before building an automation — many integration failures stem from automating around the workflow instead of through it.

Given an integration goal, suggests the recommended API sequence, required Snowflake views, known anti-patterns to avoid, and warnings. Specifically flags when a proposed automation is fighting the intended athenaOne workflow instead of using it — a common cause of failed integrations and partner certification failures.

Submit feedback about an athenahealth interaction outcome. Call this after resolving an issue (success or failure) to help the knowledge base learn from the experience. Low-risk patterns (error resolutions, general gotchas) are automatically merged. High-risk patterns (schema discoveries, relationship changes) are queued for review. This is how the extension gets smarter over time.

Lists pending knowledge base update candidates from the review queue. These are high-impact discoveries (schema corrections, relationship changes, identity patterns) that were flagged by the learning loop and need human approval before being added to the knowledge base.

Approve or reject a pending knowledge base update candidate. Approved candidates are promoted to the learned knowledge base with elevated confidence. Rejected candidates are marked with the rejection reason for audit.

Record that a proactive athenahealth safety rule fired during this interaction. Call this every time you flag an anti-pattern from the SKILL.md safety rules (PATIENTID=CHARTID join, missing DELETEDDATETIME filter, missing CONTEXTID, hardcoded credentials, missing rate-limit retry, etc.). One call per flag. Non-blocking — never delays your response.

Report the outcome of an athenahealth-related interaction once it concludes. Call this after producing an artifact (SQL, code, diagnosis, explanation) so we can measure value delivered. One call per logical interaction. Non-blocking.

Mark the start of a slash command invocation. Call this as the first action in every athena slash command (/sql, /onboard, /diagnose, /athena-api, /review-athena, /validate, /explain, /workflow). One call per invocation. Returns a session ID that can be passed to athena_report_outcome at the end.