003-skills/.claude/skills-backup-20251210-155310/nixtla-skills-index/SKILL.md
Lists all installed Nixtla Skills and provides guidance on which skill to use for specific tasks. Scans skills directory, reads frontmatter, outputs formatted index with categories and usage recommendations. Activates when user wants to see available skills, needs guidance on skill selection, or asks about Nixtla capabilities.
npx skillsauth add intent-solutions-io/plugins-nixtla nixtla-skills-indexInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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List all installed Nixtla Skills and provide usage guidance.
This skill generates a directory of available Nixtla Skills:
.claude/skills/nixtla-*/ directoriesRequired:
nixtla-skills init.claude/skills/nixtla-*/ directoriesNo Additional Packages: Uses only Read and Glob tools
Find all Nixtla skill directories:
Glob pattern: .claude/skills/nixtla-*/SKILL.md
For each skill, extract:
name: Skill identifierdescription: Purpose and triggersmode: Whether it's a mode skillversion: Current versionOrganize into categories:
Output formatted markdown table with skill details.
Formatted markdown listing:
## Nixtla Skills Index
| Skill | Description | When to Use |
|-------|-------------|-------------|
| nixtla-timegpt-lab | Forecasting expert mode | Starting Nixtla work |
| nixtla-schema-mapper | Data transformation | Converting data format |
| nixtla-experiment-architect | Experiment setup | Model comparisons |
Error: No skills found
Solution: Run nixtla-skills init to install
Error: Malformed SKILL.md
Solution: Run nixtla-skills update to refresh
Error: Skills directory not found
Solution: Verify .claude/skills/ exists
Error: Permission denied
Solution: Check directory permissions
User: "What Nixtla skills are available?"
Output:
Nixtla Skills Index (8 skills installed):
Mode Skills:
- nixtla-timegpt-lab: Forecasting expert mode
Utility Skills:
- nixtla-schema-mapper: Data transformation
- nixtla-experiment-architect: Experiment setup
- nixtla-timegpt-finetune-lab: Fine-tuning
- nixtla-prod-pipeline-generator: Production deployment
- nixtla-usage-optimizer: Cost optimization
- nixtla-skills-index: This index
Infrastructure:
- nixtla-skills-bootstrap: Install/update skills
User: "Which skill for converting CSV to Nixtla format?"
Output:
Use: nixtla-schema-mapper
This skill transforms data to Nixtla schema (unique_id, ds, y).
Activate with: "Map my data to Nixtla format"
.claude/skills/nixtla-*/pip install nixtla-claude-skills-installerRelated Skills:
nixtla-skills-bootstrap: Install or update skillstools
This skill enables Claude to create and execute load tests for performance validation. It is designed to generate load test scripts using tools like k6, JMeter, and Artillery, based on specified test scenarios. Use this skill when the user requests to create a "load test", conduct "performance testing", validate "application performance", or needs a "stress test" to identify breaking points in the application. The skill helps define performance thresholds and provides execution instructions.
testing
This skill enables Claude to collect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases. It is triggered when the user requests "collect infrastructure metrics", "monitor server performance", "set up performance dashboards", or needs to analyze system resource utilization. The skill configures metrics collection, sets up aggregation, and helps create infrastructure dashboards for health monitoring and capacity tracking. It supports configuration for Prometheus, Datadog, and CloudWatch.
tools
This skill enables Claude to monitor and analyze application error rates to improve reliability. It is used when the user needs to track and understand errors occurring in their application, including HTTP errors, application exceptions, database errors, external API errors, background job errors, and client-side errors. Use this skill when the user asks to "monitor errors", "analyze error rates", "track application errors", or requests help with "error monitoring". It sets up comprehensive error tracking and alerting based on defined thresholds.
development
This skill automates the setup of distributed tracing for microservices. It helps developers implement end-to-end request visibility by configuring context propagation, span creation, trace collection, and analysis. Use this skill when the user requests to set up distributed tracing, implement observability, or troubleshoot performance issues in a microservices architecture. The skill is triggered by phrases such as "setup tracing", "implement distributed tracing", "configure opentelemetry", or "add observability to microservices".