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jeremylongshore

jeremylongshore

2380 Skills published on GitHub.

detecting-infrastructure-drift

'Execute use when detecting infrastructure drift from desired state.

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adk-infra-expert

'Execute use when provisioning Vertex AI ADK infrastructure with Terraform.

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genkit-infra-expert

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

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gh-actions-validator

'Validate use when validating GitHub Actions workflows for Google Cloud

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vertex-infra-expert

'Execute use when provisioning Vertex AI infrastructure with Terraform.

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creating-kubernetes-deployments

'Deploy applications to Kubernetes with production-ready manifests.

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configuring-load-balancers

'Configure use when configuring load balancers including ALB, NLB, Nginx,

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setting-up-log-aggregation

'Execute use when setting up log aggregation solutions using ELK, Loki,

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changelog-orchestrator

Draft changelog PRs by collecting GitHub/Slack/Git changes, formatting

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deploying-monitoring-stacks

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

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managing-network-policies

'Execute use when managing Kubernetes network policies and firewall rules.

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integrating-secrets-managers

'Manage this skill enables AI assistant to seamlessly integrate with

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configuring-service-meshes

'Configure this skill configures service meshes like istio and linkerd

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managing-autonomous-development

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building-terraform-modules

'Execute this skill empowers AI assistant to build reusable terraform

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tweetclaw

'X/Twitter automation plugin. Post tweets, reply, like, retweet, follow,

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code-formatter

'Execute automatically formats and validates code files using Prettier

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plugin-auditor

'Audit automatically audits AI assistant code plugins for security vulnerabilities,

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plugin-creator

'Create automatically creates new AI assistant code plugins with proper

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plugin-validator

'Validate automatically validates AI assistant code plugin structure,

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version-bumper

'Execute automatically handles semantic version updates across plugin.json

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skill-adapter

'Execute analyzes existing plugins to extract their capabilities, then

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performing-security-code-review

'Execute this skill enables AI assistant to conduct a security-focused

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dolt-mcp-vcs

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brain-save

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brain

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configure

Configure Slack channel tokens (bot token + app-level token)

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install

CCSC lifecycle command center — fresh install walkthrough, health doctor, verify round-trip, auto-repair, Slack app manifest export, reset, tour, and uninstall. One skill for the full install lifecycle.

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policy

Author MCP tool-call policy rules without hand-editing access.json

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bug-clustering

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owner-routing

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repo-scanning

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triage-display

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x-bug-triage

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optimizing-prompts

'Execute this skill optimizes prompts for large language models (llms)

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generating-conventional-commits

'Execute generates conventional commit messages using AI. It analyzes

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performing-security-audits

'Analyze code, infrastructure, and configurations by conducting comprehensive

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creating-alerting-rules

'Execute this skill enables AI assistant to create intelligent alerting

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creating-apm-dashboards

'Execute this skill enables AI assistant to create application performance

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profiling-application-performance

'Execute this skill enables AI assistant to profile application performance,

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detecting-performance-bottlenecks

'Execute this skill enables AI assistant to detect and resolve performance

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optimizing-cache-performance

'Execute this skill enables AI assistant to analyze and improve application

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analyzing-capacity-planning

'Execute this skill enables AI assistant to analyze capacity requirements

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monitoring-cpu-usage

'Monitor this skill enables AI assistant to monitor and analyze cpu usage

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setting-up-distributed-tracing

'Execute this skill automates the setup of distributed tracing for microservices.

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monitoring-error-rates

Monitor and analyze application error rates to improve reliability. Use

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collecting-infrastructure-metrics

Collect comprehensive infrastructure performance metrics across compute,

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running-load-tests

Create and execute load tests for performance validation using k6, JMeter,

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analyzing-logs

Analyze application logs for performance insights and issue detection

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detecting-memory-leaks

Detect potential memory leaks and analyze memory usage patterns in code.

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