Plugins

12 plugins

Privacy Data Protection Skills

Privacy Data Protection Skills from mukul975/Privacy-Data-Protection-Skills.

100 skills · plugin

@snoodleboot-io

Prompticorn from snoodleboot-io/prompticorn.

2 skills · plugin

Produkthaftung und Produktrecht: Produktsicherheit, GPSR, ProdHaftG, deliktische Produzentenhaftung, Right to Repair, Software-/OTA-Updates, digitale Produktlebenszyklen, Rückruf, Marktüberwachung und Launch-Review.

3 skills · plugin

Planning & Product

PRDs, roadmaps, OKRs, discovery and product strategy.

23 skills · plugin

Product Idea to PRD

For product managers to structure and validate a new product concept.

11 skills · plugin

Product Manager Skills

Product Manager Skills from deanpeters/Product-Manager-Skills.

56 skills · plugin

Praxis from ConcertoNotes/codex-plugins.

7 skills · plugin

@alirezarezvani

13 product skills with 17 Python tools: product manager toolkit (RICE, PRDs), agile product owner, product strategist, UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, product analytics, experiment designer, product discovery, roadmap communicator, code-to-prd, research summarizer, apple-hig-expert.

10 skills · plugin

Launch on Product Hunt

Launch a product on Product Hunt by researching, preparing assets, and executing the launch playbook.

3 skills · plugin

Presets from amplifthq/oh-my-dsh.

4 skills · plugin

Execution and product management skills: PRDs, OKRs, roadmaps, sprints, pre-mortems, stakeholder maps, user stories, prioritization frameworks, and more.

16 skills · plugin

Prediction Market Arbitrage

Compare Polymarket probabilities with options-implied probabilities to find arbitrage opportunities.

4 skills · plugin

Results for “pr”

106 skills

replication-orchestrator

Coordinates end-to-end replication workflows for AEM 6.5 LTS, including environment setup, production incident response, and performance optimization.

Validates the integrity of a project's .planning/ directory, reporting missing files, invalid configurations, and inconsistent state, with optional auto-repair of safe issues.

appinsights-instrumentation

Provides guidance and reference material for instrumenting web applications with Azure Application Insights, including telemetry patterns, SDK setup, and configuration references.

Generates a single-page engineering runbook template with service overview, alerts table, dashboards, common procedures, on-call rotation, and incident response checklist.

nimoqup046-collab

Analyzes core dumps and live processes with GDB, correlating runtime state with source code to diagnose crashes, deadlocks, and memory issues.

Turns model work into a production ML system with data contracts, reproducible training, quality gates, deployable artifacts, and monitoring.

phoenix-observability

Self-hosted observability platform for LLM applications, providing tracing, evaluation, datasets, experiments, and real-time monitoring to debug and improve AI systems.

Provides a CTO-level framework for architecting, auditing, and scaling AI-native systems, focusing on state management, observability, and blast radius analysis.

cloudthinker-ai

Analyzes AWS CloudFront distributions, including cache hit ratios, origin health, SSL certificate status, and invalidation history, producing structured reports.

sakamoto-family-smile

Turn model work into a production ML system with data contracts, reproducible training, quality gates, deployable artifacts, and monitoring.

laravel-platform

Operates Laravel applications in production, covering Horizon, queues, scheduler, Octane, Redis, Supervisor, PHP-FPM, cache, and deployment with safety gates for destructive commands.

chaos-engineering

Injects intentional failures to test system resilience using Litmus and Chaos Monkey, with a prerequisite to validate detection before running experiments.

Queries and monitors a UniFi network via the local UniFi OS gateway API, providing device status, active clients, health, top applications, and recent alerts.

Diagnoses Linux server issues across CPU, memory, disk, I/O, and network, and manages systemd services, SSH, and Fail2Ban on Ubuntu, Debian, and AlmaLinux.

cost-optimization-finops

Implements FinOps practices for cloud cost management, including cost tracking, budget alerts, resource optimization, and automated cost analysis for AWS.

cloudthinker-ai

Manage Kuma service mesh by discovering meshes, dataplanes, and policies via the Kuma API, then analyzing configuration and producing structured reports.

dotnet-trace-collect

Guides developers through capturing diagnostic artifacts to diagnose production .NET performance issues, including tool selection and data collection across Windows, Linux, containers, and Kubernetes.

streaming-debugging

Diagnoses Redpanda broker and cluster health using debug bundles, metrics endpoints, logs, CPU profiling, and partition/raft checks, with triage playbooks for common failure modes.

n8n-error-handling

Makes n8n workflow failures loud, structured, and recoverable by wiring per-node error outputs, retry logic, error-trigger workflows, and proper HTTP response shapes.

google-cloud-waf-reliability

Evaluates Google Cloud workloads against the Reliability pillar of the Well-Architected Framework, providing actionable recommendations for building, deploying, and managing reliable systems.

unbounded-query

Detects and triages explicitly-unbounded AEM queries (p.limit=-1 or setLimit(-1)) that cause OOMs, safely capping only where provably safe and escalating others for human pagination.

qdrant-memory-usage-optimization

Diagnoses and reduces Qdrant memory usage by analyzing resident memory, page cache, and providing optimization techniques like quantization, on-disk storage, and async_scorer.

Add EAS Observe to an Expo project for startup, navigation, and custom-event performance metrics, query them via the EAS CLI, and interpret the results.

cloudthinker-ai

Deep-dive analysis of AWS RDS instances using Performance Insights, event subscriptions, proxy health, and global database status, with parallel execution and anti-hallucination guardrails.

cloudthinker-ai

Audits self-hosted Dokku PaaS deployments by inventorying apps, containers, domains, plugins, storage mounts, environment variable counts, proxy settings, and SSL status via read-only SSH commands.

automation-audit-ops

Produces an evidence-backed inventory of live automations (jobs, hooks, connectors, MCP servers, wrappers) and recommends keep/merge/cut/fix-next actions before rewriting anything.

proactive-watch-drift-detection

Detects drift between declared reality (docs, manifests, inventories, ADRs) and actual reality (filesystem, git state, dependencies, hooks) on session start, reporting findings with severity and evidence.

Operates AI infrastructure as a production dependency: manages GPU utilization, MCP servers, LLM gateways, inference pipelines, token costs, semantic caching, and model observability.

disaster-recovery-business-continuity

Plans and executes disaster recovery and business continuity for critical services, covering RPO/RTO definitions, backup strategies, failover procedures, and DR testing with executable scripts.

azure-diagnostics

Debug and troubleshoot Azure production issues using AppLens, Azure Monitor, resource health, and systematic diagnosis flows for services like App Service, Functions, AKS, Container Apps, and Messaging.

Add EAS Observe to an Expo project for startup, navigation, and custom-event performance tracking, query metrics via the EAS CLI, and interpret results.

testing-quality-assurance

Coordinates quality assurance workflows by routing testing tasks to specialized sub-skills for API testing, performance benchmarking, test analysis, tool evaluation, and process optimization.

cloudthinker-ai

Manages and monitors dbt projects, model runs, and test results via dbt CLI and dbt Cloud API, covering run status, test failures, source freshness, and manifest analysis.

Diagnose Sentry issues without copy-pasting stack traces. Uses the Composio CLI to pull issue details, events, breadcrumbs, and suspect commits, then maps the frames to local source so the agent can propose a fix directly.