Keep ioredis documentation synchronized with code behavior. Use when an agent changes public APIs, options, Redis command support, examples, generated typings, connection behavior, Cluster/Sentinel behavior, Pub/Sub, pipelines, transactions, scan streams, reconnect behavior, TypeScript usage, or release-facing behavior that may require README or docs updates.
npx skills add https://github.com/redis/node-redis --skill docs-sync
Use this skill to decide whether an ioredis change needs documentation, update the right docs, and keep examples aligned with tested behavior.
For broad documentation audits, option/API coverage checks, or unclear documentation scope, also read references/doc-coverage-checklist.md before deciding what to update.
README.md: primary user-facing guide, examples, feature overview, options, and common workflows.lib/redis/RedisOptions.ts: RedisOptions, CommonRedisOptions, option JSDoc, and DEFAULT_REDIS_OPTIONS.lib/cluster/ClusterOptions.ts: ClusterOptions, cluster option JSDoc, and DEFAULT_CLUSTER_OPTIONS.lib/connectors/StandaloneConnector.ts and lib/connectors/SentinelConnector/types.ts: connection option types that contribute to public constructor options.docs/: generated TypeDoc output from public source comments.examples/: runnable snippets that should match current API behavior.lib/index.ts and public TypeDoc comments: exported API documentation surface.test/typing/: executable documentation for TypeScript signatures.bin/, regenerate lib/utils/RedisCommander.ts, and document only if README/docs mention related command groups or if the change affects command typing, return mapping, or examples.lib/index.ts: update TypeDoc comments and typing tests when the exported type or class is part of the supported API.npm run docs when the change affects generated docs.node bin/index.js before validating generated typings.npm run format-check only when relevant files are covered by Prettier.lib/index.ts?RedisOptions, CommonRedisOptions, ClusterOptions, standalone connection options, or Sentinel connection options?If any answer is yes, update docs or explicitly explain why existing docs already cover it.
Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.
Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
BullMQ expert for Redis-backed job queues, background processing, and reliable async execution in Node.js/TypeScript applications. Use when: bullmq, bull queue, redis queue, background job, job queue.
Create custom external web service APIs for Moodle LMS. Use when implementing web services for course management, user tracking, quiz operations, or custom plugin functionality. Covers parameter validation, database operations, error handling, service registration, and Moodle coding standards.
Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
Take redis/docs-sync from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.