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Found 705 Skills
Pipeline state management for Goldsky Turbo — pause, resume, restart, and delete commands with their rules and safety behavior. Use this skill when the user asks: will deleting my pipeline lose the data already in my postgres/clickhouse table, how do I pause a pipeline while doing database maintenance, how do I restart from block zero to reprocess all historical data, can I update a running streaming pipeline in place or do I have to delete and redeploy, will resuming a paused pipeline pick up from where it left off (checkpoint), how do I re-run a completed job pipeline from the beginning, can I pause or restart a job-mode pipeline. Also covers what happens to checkpoint state on delete, and job auto-deletion 1 hour after termination. For actively diagnosing why a pipeline is broken or erroring, use /turbo-doctor instead.
Goldsky Turbo pipeline YAML reference — the authoritative source for field names, required vs optional fields, and valid values. Use whenever the user asks about specific YAML fields: what does `start_at: earliest` vs `latest` do, what fields does a postgres/clickhouse/kafka sink require, what is the `from:` field in a sink, how does `checkpoint` work, what's the syntax for `batch_size` or `primary_key`. Also use for validation errors like 'unknown field' or 'missing required field'. For interactive pipeline building end-to-end, use /turbo-builder instead.
Diagnose and fix broken Goldsky Turbo pipelines interactively. Use whenever the user has a specific pipeline that is misbehaving — error state, stuck in 'starting', connection refused, slow backfill, not getting data in postgres/clickhouse, duplicate rows, missing fields, named pipeline failing ('my base-usdc-transfers keeps failing'), or any symptom where something is wrong with a deployed pipeline. Runs goldsky turbo logs and status commands, identifies root cause, and offers to run fixes. For looking up CLI syntax or error message definitions WITHOUT an active problem, use /turbo-monitor-debug instead.
Design and architect Goldsky Turbo pipelines. Use this skill for 'should I use X or Y' decisions: kafka source vs dataset source, streaming vs job mode, which resource size (xs/s/m/l/xl/xxl) for my workload, postgres vs clickhouse vs kafka sink, fan-in vs fan-out data flow, one pipeline vs many, dynamic table vs SQL join, how to handle multi-chain deployments. Also use when the user asks 'what's the best way to...' for a pipeline design problem, or is unsure how to structure their pipeline before building it.
Comprehensive sales and revenue operations skill. Use when building a sales team, doing founder-led sales, hiring first sales reps, navigating enterprise deals, implementing product-led sales, designing sales compensation plans, defining ICP, mapping buyer personas, or optimizing the revenue engine (RevOps). Activates for: sales strategy, rev ops, revenue operations, sales enablement, sales compensation, ICP, ideal customer profile, buyer persona, sales process, deal execution, lead scoring, lead routing, lead lifecycle, MQL, SQL, pipeline management, CRM automation, sales qualification, BANT, MEDDIC, founder sales, enterprise sales, product-led sales, startup sales, SDR, AE, quota, ramp, commission plan.
This skill should be used when the user asks to "create a Supabase table", "write RLS policies", "set up Supabase Auth", "create Edge Functions", "configure Storage buckets", "use Supabase with Next.js", "migrate API keys", "implement row-level security", "create database functions", "set up SSR auth", or mentions 'Supabase', 'RLS', 'Edge Function', 'Storage bucket', 'anon key', 'service role', 'publishable key', 'secret key'. Automatically triggers when user mentions 'database', 'table', 'SQL', 'migration', 'policy'.
Use this skill when securing web applications, preventing OWASP Top 10 vulnerabilities, implementing input validation, or designing authentication. Triggers on XSS, SQL injection, CSRF, SSRF, broken authentication, security headers, input validation, output encoding, OWASP, and any task requiring application security hardening.
Use this skill when defining ideal customer profiles, building scoring models, identifying intent signals, or qualifying leads. Triggers on lead scoring, ICP definition, scoring models, intent signals, MQL, SQL, lead qualification, BANT, and any task requiring lead prioritization or qualification framework design.
Erstellt und optimiert GraphQL-Queries und Mutations fuer das microtech ERP-System buero+. Deckt den gesamten ERP-Datenbestand ab: Artikel, Warengruppen, Stuecklisten, Adressen mit Anschriften und Ansprechpartnern, Vorgaenge (Angebote, Auftragsbestaetigungen, Lieferscheine, Rechnungen, Gutschriften, Bestellungen), Vorgangspositionen, offene Posten, Lagerbestaende, Projekte, Dokumente (DMS), Kalender, Kontakte, Kontenplan, Zahlungsverkehr und SEPA-Mandate. Unterstuetzt Lesen, Anlegen, Aendern, Loeschen, Buchen (fnPost), Stornieren (fnReverse), Wandeln (fnConvert), Archivieren sowie ERP-Parametertabellen (Vorgangsarten, Steuerschluessel, Zahlungsbedingungen, Einheiten, Versandarten, Waehrungen, Mahnstufen, Adressstatus, Projektstatus, Dokumentenarten, Kommunikationsarten u.v.m.). Verwende diesen Skill wenn der Nutzer mit microtech ERP oder buero+ arbeiten will, ERP-Daten abfragen, Belege erstellen oder verarbeiten will, oder microtech-spezifische Begriffe wie tbl, fld, fnPost, fnConvert, rowRead, rowNew, rowSave, acoGPreis, lnkPostalAddresses, @acquireLocks erwaehnt. NICHT verwenden fuer andere ERP-Systeme (SAP, Shopify, Odoo, Dynamics), allgemeine SQL/Datenbank-Fragen oder generische GraphQL-Schemas ohne microtech-Bezug.
Use this skill when architecting on Google Cloud Platform, selecting GCP services, or implementing data and compute solutions. Triggers on Cloud Run, BigQuery, Pub/Sub, GKE, Cloud Functions, Cloud Storage, Firestore, Spanner, Cloud SQL, IAM, VPC, and any task requiring GCP architecture decisions or service selection.
testcontainers-python specialist. Covers all container modules (PostgreSQL, MySQL, MongoDB, Redis, Kafka, RabbitMQ, MinIO, Elasticsearch, LocalStack), GenericContainer, wait strategies, Docker Compose, networks, pytest fixtures, and CI/CD integration. USE WHEN: user mentions "testcontainers", "docker in tests", "real database in tests", "test with real postgres/redis/kafka", asks about container fixtures or Docker-based testing. DO NOT USE FOR: Spring Boot testcontainers (Java) - use `spring-boot-integration`; Mocking HTTP - use `fastapi-testing`; Pure pytest patterns - use `pytest`
Build secure WordPress plugins with hooks, database interactions, Settings API, custom post types, and REST API. Covers Simple, OOP, and PSR-4 architecture patterns plus the Security Trinity. Includes WordPress 6.7-6.9 breaking changes. Use when creating plugins or troubleshooting SQL injection, XSS, CSRF, REST API vulnerabilities, wpdb::prepare errors, nonce edge cases, or WordPress 6.8+ bcrypt migration.