slo-implementation
wshobsonDefine and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting. Use when establishing reliability targets, implementing SRE practices, or measuring service performance.
prompt-engineering-patterns
wshobsonMaster advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.
error-handling-patterns
wshobsonMaster error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.
agent-evaluation
davila7Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.
it-operations
davila7Manages IT infrastructure, monitoring, incident response, and service reliability. Provides frameworks for ITIL service management, observability strategies, automation, backup/recovery, capacity planning, and operational excellence practices.
autonomous-agents
davila7Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b
devops-iac-engineer
davila7Implements infrastructure as code using Terraform, Kubernetes, and cloud platforms. Designs scalable architectures, CI/CD pipelines, and observability solutions. Provides security-first DevOps practices and site reliability engineering guidance.
database-admin
sickn33Expert database administrator specializing in modern cloud databases, automation, and reliability engineering. Masters AWS/Azure/GCP database services, Infrastructure as Code, high availability, disaster recovery, performance optimization, and compliance. Handles multi-cloud strategies, container databases, and cost optimization. Use PROACTIVELY for database architecture, operations, or reliability engineering.
agent-orchestration-multi-agent-optimize
sickn33Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
observability-monitoring-slo-implement
sickn33You are an SLO (Service Level Objective) expert specializing in implementing reliability standards and error budget-based practices. Design SLO frameworks, define SLIs, and build monitoring that balances reliability with delivery velocity.
slo-implementation
sickn33Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting. Use when establishing reliability targets, implementing SRE practices, or measuring service performance.
Verification & Quality Assurance
ruvnetComprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
claude-skills
2025EmmaClaude Skills meta-skill: extract domain material (docs/APIs/code/specs) into a reusable Skill (SKILL.md + references/scripts/assets), and refactor existing Skills for clarity, activation reliability, and quality gates.
skill-evaluator
openclawEvaluate Clawdbot skills for quality, reliability, and publish-readiness using a multi-framework rubric (ISO 25010, OpenSSF, Shneiderman, agent-specific heuristics). Use when asked to review, audit, evaluate, score, or assess a skill before publishing, or when checking skill quality. Runs automated structural checks and guides manual assessment across 25 criteria.
code-review
LibPDF-jsBrutally honest code review assessing security, reliability, performance, and taste
retellai-reliability-patterns
Implement Retell AI reliability patterns including circuit breakers, idempotency, and graceful degradation. Use when building fault-tolerant Retell AI integrations, implementing retry strategies, or adding resilience to production Retell AI services. Trigger with phrases like "retellai reliability", "retellai circuit breaker", "retellai idempotent", "retellai resilience", "retellai fallback", "retellai bulkhead".
clay-reliability-patterns
Implement Clay reliability patterns including circuit breakers, idempotency, and graceful degradation. Use when building fault-tolerant Clay integrations, implementing retry strategies, or adding resilience to production Clay services. Trigger with phrases like "clay reliability", "clay circuit breaker", "clay idempotent", "clay resilience", "clay fallback", "clay bulkhead".
customerio-reliability-patterns
Implement Customer.io reliability patterns. Use when building fault-tolerant integrations, implementing circuit breakers, or handling failures. Trigger with phrases like "customer.io reliability", "customer.io resilience", "customer.io circuit breaker", "customer.io fault tolerance".
supabase-reliability-patterns
Implement Supabase reliability patterns including circuit breakers, idempotency, and graceful degradation. Use when building fault-tolerant Supabase integrations, implementing retry strategies, or adding resilience to production Supabase services. Trigger with phrases like "supabase reliability", "supabase circuit breaker", "supabase idempotent", "supabase resilience", "supabase fallback", "supabase bulkhead".
windsurf-reliability-patterns
Implement Windsurf reliability patterns including circuit breakers, idempotency, and graceful degradation. Use when building fault-tolerant Windsurf integrations, implementing retry strategies, or adding resilience to production Windsurf services. Trigger with phrases like "windsurf reliability", "windsurf circuit breaker", "windsurf idempotent", "windsurf resilience", "windsurf fallback", "windsurf bulkhead".
Exa Reliability Patterns
Implement Exa reliability patterns including circuit breakers, idempotency, and graceful degradation. Use when building fault-tolerant Exa integrations, implementing retry strategies, or adding resilience to production Exa services. Trigger with phrases like "exa reliability", "exa circuit breaker", "exa idempotent", "exa resilience", "exa fallback", "exa bulkhead".
sentry-reliability-patterns
Build reliable Sentry integrations. Use when handling SDK failures gracefully, implementing retry logic, or ensuring error tracking uptime. Trigger with phrases like "sentry reliability", "sentry failover", "sentry sdk failure handling", "resilient sentry setup".
vercel-reliability-patterns
Implement Vercel reliability patterns including circuit breakers, idempotency, and graceful degradation. Use when building fault-tolerant Vercel integrations, implementing retry strategies, or adding resilience to production Vercel services. Trigger with phrases like "vercel reliability", "vercel circuit breaker", "vercel idempotent", "vercel resilience", "vercel fallback", "vercel bulkhead".
perplexity-reliability-patterns
jeremylongshoreImplement Perplexity reliability patterns including circuit breakers, idempotency, and graceful degradation. Use when building fault-tolerant Perplexity integrations, implementing retry strategies, or adding resilience to production Perplexity services. Trigger with phrases like "perplexity reliability", "perplexity circuit breaker", "perplexity idempotent", "perplexity resilience", "perplexity fallback", "perplexity bulkhead".
FireCrawl Reliability Patterns
Implement FireCrawl reliability patterns including circuit breakers, idempotency, and graceful degradation. Use when building fault-tolerant FireCrawl integrations, implementing retry strategies, or adding resilience to production FireCrawl services. Trigger with phrases like "firecrawl reliability", "firecrawl circuit breaker", "firecrawl idempotent", "firecrawl resilience", "firecrawl fallback", "firecrawl bulkhead".
replit-reliability-patterns
jeremylongshoreImplement Replit reliability patterns including circuit breakers, idempotency, and graceful degradation. Use when building fault-tolerant Replit integrations, implementing retry strategies, or adding resilience to production Replit services. Trigger with phrases like "replit reliability", "replit circuit breaker", "replit idempotent", "replit resilience", "replit fallback", "replit bulkhead".
tracking-service-reliability
This skill enables Claude to define and track Service Level Agreements (SLAs), Service Level Indicators (SLIs), and Service Level Objectives (SLOs) for improved service reliability. It is triggered when the user needs to establish, monitor, or analyze service performance metrics. Use this skill when the user mentions "SLA", "SLI", "SLO", "error budget", "service reliability", or "track service performance". The skill helps to define key metrics, set targets, and monitor performance against those targets.
using-agent-relay
AgentWorkforceUse when coordinating multiple AI agents in real-time - provides inter-agent messaging via Rust PTY wrapper with file-based protocol and reliability features
queue
Guide for job queue patterns in multi-agent coordination. Use when deciding between background jobs vs inline execution, submitting long-running tasks, monitoring job progress, and handling failures. Covers when to queue, job priority, retry strategies, and monitoring patterns.
detect-flaky-tests
Sovereign-LabsIdentify flaky tests by comparing failures across multiple CI runs. Use when the user suspects flaky tests, sees intermittent failures, or wants to analyze test reliability.
fail-fast-no-hedging
Eliminate component hedging anti-patterns that mask infrastructure failures. Build systems that fail loudly when broken instead of limping along in degraded states. Critical for production reliability and operational visibility.
reliability-analysis
a5c-aiComponent and system reliability prediction and analysis skill with MTBF/MTTF calculations, failure rate databases, FMEA/FMECA support, fault tree analysis, and accelerated life testing data analysis.
airflow-dag-analyzer
a5c-aiAnalyzes, validates, and optimizes Apache Airflow DAGs for reliability, performance, and best practices adherence.
primary-source-evaluation
a5c-aiAuthenticate, date, and critically assess historical documents for provenance, reliability, and bias with systematic source criticism methodology
psychometric-assessment
a5c-aiDevelop, validate, and adapt measurement instruments including factor analysis, reliability testing, and cross-cultural validation
incident-responder
DokhacgiakhoaExpert SRE incident responder specializing in rapid problem resolution, modern observability, and comprehensive incident management. Masters incident command, blameless post-mortems, error budget management, and system reliability patterns. Handles critical outages, communication strategies, and continuous improvement.
designing-distributed-systems
ancolemanWhen designing distributed systems for scalability, reliability, and consistency. Covers CAP/PACELC theorems, consistency models (strong, eventual, causal), replication patterns (leader-follower, multi-leader, leaderless), partitioning strategies (hash, range, geographic), transaction patterns (saga, event sourcing, CQRS), resilience patterns (circuit breaker, bulkhead), service discovery, and caching strategies for building fault-tolerant distributed architectures.
review-react-best-practices
HeyvhuangReview or refactor React / Next.js code for performance and reliability using a prioritized rule library (waterfalls, bundle size, server/client data fetching, re-renders, rendering). Use when writing React components, Next.js pages (App Router), optimizing bundle size, improving performance, or doing a React/Next.js performance review.
Verification & Quality Assurance
proffesor-for-testingComprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
qe-verification-quality
proffesor-for-testingComprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
verification-quality-assurance
aiskillstoreComprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
payment-integration
MicrockExpert payment integration specialist mastering payment gateway integration, PCI compliance, and financial transaction processing. Specializes in secure payment flows, multi-currency support, and fraud prevention with focus on reliability, compliance, and seamless user experience.
error-handling-patterns
MicrockMaster error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.
prompt-engineering-patterns
MicrockMaster advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.
slo-implementation
MicrockDefine and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting. Use when establishing reliability targets, implementing SRE practices, or measuring service performance.
testing-debugging
baz-scmEnsuring software correctness and reliability by writing automated tests, using quality assurance tools, and systematically debugging issues.
gitlab-ci-best-practices
TheBushidoCollectiveUse when optimizing GitLab CI/CD pipelines for performance, reliability, or maintainability. Covers pipeline optimization and organizational patterns.
monitoring-observability
korallisImplement comprehensive monitoring, logging, metrics, tracing, and alerting for production applications to ensure reliability and quick incident response. Use when setting up application monitoring, implementing structured logging, creating metrics and dashboards, setting up alerts, implementing distributed tracing, monitoring performance, tracking errors, or building observability into applications.