Claude Skills by jeremylongshore

'Set up Customer.io monitoring and observability.

'Optimize Customer.io API performance for high throughput.

'Implement Customer.io primary messaging workflow.

'Execute Customer.io production deployment checklist.

'Implement Customer.io rate limiting and backoff.

'Implement Customer.io enterprise reference architecture.

'Implement Customer.io reliability and fault-tolerance patterns.

'Apply production-ready Customer.io SDK patterns.

'Apply Customer.io security best practices.

'Plan and execute Customer.io SDK upgrades and migrations.

'Implement Customer.io webhook and reporting event handling.

Data exploration and analysis partner for Product Managers. Use when

'Process use when you need to work with database documentation.

Fix the deploy-time foot-guns of Databricks Asset Bundles (DAB) and the infrastructure operations around them: the bundle-bind gap for UC catalogs and external locations, the "unexpected EOF reading terraform.tfstate" redeploy failure, the schema-GRANT-ordering bug that fails the first deploy, customer-managed-key (CMK) rotation that requires draining the whole workspace, and the PrivateLink cost leak where S3/STS/Kinesis still traverse the NAT. Includes a PreToolUse hook that backs up and va...

Diagnose broken or unexplained Databricks compute — slow cold starts, failed cluster launches, Photon paying its premium without the speedup, DBR-upgrade landmines, and spot-interruption shuffle aborts — by correlating a cluster's live event stream across API surfaces. Use when a Databricks cluster won't start, died mid-run, is randomly slow to start, when planning a Databricks Runtime upgrade, or when a job keeps failing on spot loss. Trigger with "databricks cluster won't start", "cluster f...

Hunt down Databricks cost leaks — wasted DBUs, idle clusters, oversized SQL warehouses, and untagged runaway spend — and produce a FinOps cost report. Use when a user asks why their Databricks bill is high, wants to find cost leaks / wasted DBUs / idle clusters, or needs a FinOps cost report. Trigger with "databricks cost", "why is my databricks bill", "find wasted spend", "cost leak".

Guard production Databricks data pipelines — Delta Lake, Liquid Clustering, Structured Streaming, Auto Loader, and DLT — against the twelve foot-guns that fire at scale: OPTIMIZE/auto-compaction conflicts, Liquid-Clustering merge conflicts, VACUUM breaking a streaming checkpoint, RocksDB OOM, Auto Loader schema-evolution stops, and DLT refresh data loss. Includes a PreToolUse hook that blocks DROP/CREATE-OR-REPLACE/VACUUM on a table with active streaming consumers. Use when a Delta MERGE/OPTI...

Pilot a Databricks Hive Metastore (HMS) → Unity Catalog (UC) migration before the deadline — audit every table's migratability, produce a dependency-ordered migration plan, trace UC's two-level permission model, and pick an environment isolation pattern. Use when a user asks how to migrate off the Hive metastore, move to Unity Catalog, which tables are UC-ready, why a table won't migrate, why a user lacks access after migration, or how to isolate dev/test/prod under UC. Trigger with "migrate ...

'Configure Deepgram CI/CD integration for automated testing and deployment.

'Diagnose and fix common Deepgram errors and issues.

'Implement production pre-recorded speech-to-text with Deepgram.

'Implement real-time streaming transcription with Deepgram WebSocket.

'Optimize Deepgram costs and usage for budget-conscious deployments.

'Implement audio data handling best practices for Deepgram integrations.

'Collect Deepgram debug evidence for support and troubleshooting.

'Deploy Deepgram integrations to production environments.

'Configure enterprise role-based access control for Deepgram integrations.

'Create a minimal working Deepgram transcription example.

'Execute Deepgram incident response procedures for production issues.

'Install and configure Deepgram SDK authentication.

'Configure Deepgram local development workflow with testing and mocks.

'Deep dive into migrating to Deepgram from other transcription providers.

'Configure Deepgram multi-environment setup for dev, staging, and production.

'Set up comprehensive observability for Deepgram integrations.

'Optimize Deepgram API performance for faster transcription and lower

'Execute Deepgram production deployment checklist.

'Implement Deepgram rate limiting and backoff strategies.

'Implement Deepgram reference architecture for scalable transcription

'Apply production-ready Deepgram SDK patterns for TypeScript and Python.

'Apply Deepgram security best practices for API key management and data

'Plan and execute Deepgram SDK upgrades and model migrations.

'Implement Deepgram callback and webhook handling for async transcription.

Parse the ROE scope definition, enumerate every in-scope target (hostnames, IPs, CIDRs, URLs, cloud accounts, SaaS tenants), validate syntax, detect overlap with out-of-scope or known third-party SaaS ranges, and emit a normalized target list plus IP allowlist for scanning tools. Runs after confirming-pentest- authorization and before any cluster 1-4 scan. Use when: starting an engagement, expanding scope mid-engagement, validating that a target list matches the ROE, or generating an allowlis...

'Generate polished demo videos from a single prompt. Use when the user

'Deploy this skill enables AI assistant to deploy machine learning models

'Monitor use when deploying monitoring stacks including Prometheus, Grafana,

'Process use when you need to work with database schema design.

Scan a source tree for command-injection vulnerable patterns: shell=True calls in Python subprocess, os.system / os.popen with interpolated strings, Node child_process.exec with template literals, Ruby backticks / Kernel#system / Kernel#exec with interpolation, Go exec.Command with shell wrapping, PHP system / passthru / shell_exec / backticks with $-interpolation, Java Runtime.exec with concatenated args. Use when: pre-commit gate on code that calls out to shell utilities, audit of file-proc...

'Process identify anomalies and outliers in datasets using machine learning

'Process use when you need to work with deadlock detection.