Claude Skills by jeremylongshore

'Generate API contracts and OpenAPI specifications from code or design

'Create comprehensive API documentation with examples, authentication

'Generate client SDKs in multiple languages from OpenAPI specifications.

Generate comprehensive compliance reports for security standards. Use

'Execute generates conventional commit messages using AI. It analyzes

'Process this skill enables AI assistant to generate realistic test data

'Execute use when you need to work with Docker Compose.

Compose an exec-readable summary from a unified findings JSONL plus the OWASP coverage report. Computes a single engagement risk score (0-100, severity-weighted with OWASP-breadth and governance terms), rolls up findings into headline counts, names the top-3 remediation priorities with effort + impact estimates, and produces a 1-2 page markdown document for a C-level or board audience. Elides technical detail; the vulnerability report is the deep document. Use when: closing an engagement, pre...

'Generate gRPC service definitions, stubs, and implementations from Protocol

'Execute use when generating Helm charts for Kubernetes applications.

'Execute use when generating infrastructure as code configurations. Trigger

'Execute use when you need to work with ORM code generation.

'Generate complete REST API implementations from OpenAPI specifications

'Generate comprehensive security audit reports for applications and systems.

'Execute use when generating conventional commit messages from staged

'Use when you need to generate, validate, or deploy stored procedures

'Generate realistic test data including edge cases and boundary conditions.

'Generate mocks, stubs, spies, and fakes for dependency isolation.

'Generate comprehensive test reports with metrics, coverage, and visualizations.

'Generate trading signals using technical indicators (RSI, MACD, Bollinger

'Test automatically generate comprehensive unit tests from source code

'Execute use when deploying Genkit applications to production with Terraform.

'Build production Firebase Genkit applications including RAG systems,

'Validate use when validating GitHub Actions workflows for Google Cloud

'Provides a GitHub pull request dashboard directly in the terminal. Use

'CI/CD for Glean connectors with automated indexing tests and search

'Diagnose and fix common Glean API errors including indexing failures,

'Execute Glean primary workflow: search, chat, and AI-powered answers

'Execute Glean secondary workflow: bulk document indexing, custom datasource

'Optimize Glean costs by managing indexed content volume, datasource

'PII filtering: strip emails, phone numbers, SSNs from document body

'Collect Glean diagnostic information for support including datasource

'Deploy Glean custom connectors as scheduled jobs on Cloud Run, Lambda,

'Map AD/Okta groups to Glean document permissions using allowedGroups.

'Index documents into Glean and search them back using the Indexing and

'Triage: Is search returning results? Check Glean status page.

'Install and configure Glean API authentication with indexing and client

'Configure Glean local development with mock search responses, test datasources,

'Migrate from Elasticsearch/Algolia: 1) Export all documents from source,

'Use separate datasource names per environment (wiki_staging vs wiki_prod).

'Track: documents indexed per run (total + new + updated + deleted),

'Optimize Glean search relevance and indexing throughput with batch sizing,

'Pre-launch: All datasources indexed and searchable.

'Glean Indexing API: ~100 requests/min per token.

'Enterprise architecture: Source Systems to Connectors (Cloud Run/Lambda,

'Apply production-ready Glean API patterns with typed clients, batch

'Token security: Indexing tokens have write access -- never expose in

'Check Glean developer changelog for API changes.

'Implement event-driven Glean indexing triggered by source system webhooks

'Execute automatic activation for all google cloud agent development