Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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final-checklist
Comprehensive pre-launch verification checklist. Use as the last step before deploying. Triggers on "final check", "pre-launch", "ready to deploy", "launch checklist".
majiayu000/claude-skill-registry 163
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ci-cd-agent
Creates CI/CD pipeline configurations for automated testing and deployment
majiayu000/claude-skill-registry 163
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gmacko-release-prepare
Use when (1) preparing a release for staging or production, (2) generating release notes and changelog, (3) verifying environment readiness before deployment. Prepares all artifacts needed for a release.
majiayu000/claude-skill-registry 163
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performance-metrics
Use to define KPIs, alert thresholds, and reporting cadences for social calendars.
majiayu000/claude-skill-registry 163
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dqmc-generate
Create HDF5 simulation files for DQMC with specified physical parameters. Use when setting up new simulations, specifying lattice size, interaction strength U, chemical potential mu, temperature (via dt and L), or number of Monte Carlo sweeps.
majiayu000/claude-skill-registry 163
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openrouter-prod-checklist
Execute pre-launch production readiness checklist for OpenRouter. Use when preparing to deploy to production. Trigger with phrases like 'openrouter production', 'openrouter go-live', 'openrouter launch checklist', 'deploy openrouter'.
majiayu000/claude-skill-registry 163
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max-bid-calculator-skill
Calculate maximum bid using BidDeed formula and bid/judgment ratios to determine BID/REVIEW/SKIP decisions
majiayu000/claude-skill-registry 163
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performance-budget-checker
Detects performance anti-patterns like N+1 queries, nested loops, large file operations, and inefficient algorithms. Suggests fast fixes before issues reach production.
majiayu000/claude-skill-registry 163
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workspace-management
Manage pnpm workspaces, add packages, configure dependencies, and organize monorepo structure. Use when adding new packages, restructuring workspace, or managing cross-package dependencies.
majiayu000/claude-skill-registry 163
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Retrospective Validation
Validate methodology effectiveness using historical data without live deployment. Use when rich historical data exists (100+ instances), methodology targets observable patterns (error prevention, test strategy, performance optimization), pattern matching is feasible with clear detection rules, and live deployment has high friction (CI/CD integration effort, user study time, deployment risk). Enables 40-60% time reduction vs prospective validation, 60-80% cost reduction. Confidence calculation model provides statistical rigor. Validated in error recovery (1,336 errors, 23.7% prevention, 0.79 confidence).
majiayu000/claude-skill-registry 163
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openrouter-load-balancing
Execute distribute requests across multiple OpenRouter configurations. Use when scaling or implementing geographic distribution. Trigger with phrases like 'openrouter load balance', 'distribute requests', 'openrouter scaling', 'multi-key openrouter'.
majiayu000/claude-skill-registry 163
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model-drift-detector
Model Drift Detector - Auto-activating skill for ML Deployment.
Triggers on: model drift detector, model drift detector
Part of the ML Deployment skill category.
majiayu000/claude-skill-registry 163
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accelerator-research-agent
Research accelerator portfolio companies using Firecrawl and Tavily MCPs. Generates structured CSV and markdown reports with systematic impact scoring. Optimized for token efficiency.
majiayu000/claude-skill-registry 163
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Predictive Skill Loading
Anticipates and pre-loads optimal skills before task execution based on pattern matching and historical success rates
majiayu000/claude-skill-registry 163
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git-safety
Apply critical git safety protocols before any git operations, especially in collaborative environments. Use when performing git commands, managing files, or making destructive changes.
majiayu000/claude-skill-registry 163
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aws-amplify
Deploys and hosts full-stack web applications on AWS Amplify with SSR support, CI/CD, and backend services. Use when deploying Next.js apps to AWS, setting up Amplify hosting, or configuring Amplify backends.
majiayu000/claude-skill-registry 163
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ansible-error-handling
This skill should be used when implementing error handling in Ansible, using block/rescue/always patterns, creating retry logic with until/retries, handling expected failures gracefully, or providing clear error messages with assert and fail.
majiayu000/claude-skill-registry 163
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load-data
Ultra-fast data discovery and loading skill for industrial finance datasets. Handles CSV, JSON, DuckDB, Parquet, and Feather with memory-efficient 2-step discovery and loading.
majiayu000/claude-skill-registry 163
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ring:using-finops-team
2 FinOps agents for Brazilian financial regulatory compliance (BACEN, RFB,
Open Banking). Dispatch for compliance analysis or template generation.
majiayu000/claude-skill-registry 163
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aws-amplify
Deploys and hosts full-stack web applications on AWS Amplify with SSR support, CI/CD, and backend services. Use when deploying Next.js apps to AWS, setting up Amplify hosting, or configuring Amplify backends.
majiayu000/claude-skill-registry 163
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cloud-aws
AWS cloud infrastructure and services expert. Use when working with AWS CLI, Terraform for AWS, Lambda, S3, EC2, DynamoDB, IAM, API Gateway, or any AWS service configuration, deployment, troubleshooting, or best practices.
majiayu000/claude-skill-registry 163
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agent-terraform-engineer
Expert Terraform engineer specializing in infrastructure as code, multi-cloud provisioning, and modular architecture. Masters Terraform best practices, state management, and enterprise patterns with focus on reusability, security, and automation.
majiayu000/claude-skill-registry 163
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mlops-deployment
Docker, Kubernetes, CI/CD, model monitoring, and cloud platforms. Use for deploying ML models to production, setting up pipelines, or infrastructure.
majiayu000/claude-skill-registry 163
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paper-validator
This skill should be used when conducting comprehensive reviews of research papers for top-tier computer science conferences. Use for identifying weaknesses, unclear statements, missing evidence, and structural issues in academic papers. The skill autonomously reads files, searches for patterns, analyzes structure, and provides constructive peer-reviewer feedback.
majiayu000/claude-skill-registry 163