speclet-spec
Convert a draft document into an executable spec.json with trackable stories
figma-design-tokens
Extracts design tokens from Figma files and generates production-ready CSS, SCSS, JSON, TypeScript, and W3C DTCG format files using the Figma MCP server
spawning-agents-on-the-command-line
Use when subagents need to delegate work but can't use Task tool, or when needing to test skills in isolated context - spawns Claude instances via CLI backgrounding with JSON responses
aws-discover
Discover AWS infrastructure and save to JSON. Use when user asks to "discover AWS", "explore AWS account", "scan AWS infrastructure", or "create infrastructure JSON".
field-extraction-parsing
Extract structured fields from unstructured log data using OPAL parsing functions. Covers extract_regex() for pattern matching with type casting, split() for delimited data, parse_json() for JSON logs, and JSONPath for navigating parsed structures. Use when you need to convert raw log text into queryable fields for analysis, filtering, or aggregation.
kotlin-serialization
kotlinx.serialization - JSON, Protobuf, custom serializers
structured-output
JSON, XML, and structured data generation patterns
health-data
Query Apple Health SQLite database for vitals, activity, sleep, and workouts. Supports Markdown, JSON, and FHIR R4 output formats. This skill should be used when analyzing health metrics, generating health reports, answering questions about fitness or sleep patterns, or exporting health data in standard formats.
apple-reminders
Manage Apple Reminders via the `remindctl` CLI on macOS (list, add, edit, complete, delete). Supports lists, date filters, and JSON/plain output.
session-logs
Search and analyze your own conversation history from session log files using jq.