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Found 192 Skills
Architect programmatic SEO systems for 10K-100K+ pages with database-backed data layers, data sufficiency gating, incremental validation, crawl budget management, content enrichment pipelines, and edge delivery. Use when scaling beyond 10K pages, when builds are OOMing, when Google is not indexing all pages, or when the current in-memory architecture has hit its limits.
Use the codeintel command-line tool: intelligent indexing and field trace query for Go codebases. Features include building indexes (init), querying symbol/field read-write summaries (query fields), field tracing (trace-backward/forward), full-chain data value tracing (value-trace), call relationship analysis (callers/callees/impact), export (export), and Web service (serve). This skill is used when users request to analyze field data flows in Go codebases, trace field users/producers, check function field read-write operations, or query call relationships.
A master control Skill for building websites from scratch and driving long-term growth. It is used for creating new websites, SaaS platforms, tool sites or content sites, planning or initializing TanStack Start Monorepo, deploying full-stack applications using Cloudflare Workers, D1, R2, integrating payment systems, and executing SEO, content creation, backlink building, launch verification and continuous iteration; it also handles Google Trends queries, Keyword Difficulty (KD) estimation and keyword selection workflows. Activate this Skill when users mention terms like rankup, rankup init, website building, website revision, search traffic, GSC, rankings, keywords, CTR, indexing, website growth, or terms such as Google Trends, search popularity, popularity comparison, search trends, trending, "Which is more popular, XX or YY?", "What are people searching for in the US/Japan today?", daily trending searches, "Can I build a site around this keyword?", "Which market/country has opportunities?", help me select SEO keywords, keyword selection, product research, market exploration, keyword difficulty, KD, competition level, SERP analysis, "Is this keyword hard to rank for?", "How many backlinks do I need for this keyword".
Comprehensive PostgreSQL database engineering skill covering indexing strategies, query optimization, performance tuning, partitioning, replication, backup and recovery, high availability, and production database management. Master advanced PostgreSQL features including MVCC, VACUUM operations, connection pooling, monitoring, and scalability patterns.
Discover article URLs from https://www.eceee.org/all-news/ and extract/persist full article text into SQLite with retry-safe incremental sync. Use when building or maintaining an eceee news fulltext corpus for downstream search, indexing, or summarization.
Database specialist covering PostgreSQL, MongoDB, Redis, Oracle, and advanced data patterns for modern applications. Use when user asks about database schema design, query optimization, indexing strategies, data modeling, migrations, ORM configuration, or database performance tuning. Do NOT use for API design or server-side business logic (use moai-domain-backend instead).
Fetch and persist article full text for RSS entries already stored in SQLite by ai-tech-rss-fetch. Use when backfilling or incrementally syncing body text from entries.url or entries.canonical_url into a companion table for downstream indexing, retrieval, or summarization.
Design ObjectStack AI skills, tools, knowledge sources, conversations, model registry entries, and MCP integrations. Use when the user is adding `*.skill.ts` / `*.tool.ts`, configuring an LLM provider, wiring agent tools, or indexing ObjectStack data as a knowledge source for RAG. Agents themselves are platform-internal (`ask` / `build`) — third parties extend them via skills and tools, not by authoring `*.agent.ts`. Do not use for general LLM prompting questions unrelated to ObjectStack metadata.
Use when writing, reviewing, debugging, or documenting LanceDB pipelines in Python or TypeScript, especially code that should work across local LanceDB OSS tables and remote LanceDB Enterprise/Cloud tables. Helps avoid non-portable full-table materialization, choose idiomatic query/search patterns, apply LanceDB performance defaults for ingestion, indexing, filtering, and diagnostics, and resolve connections to the remote server for Enterprise-only operations such as jobs.
Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs). Use when listing books, searching/filtering library records, reading/updating metadata, adding/removing formats, exporting books, maintaining custom columns, running library checks, managing FTS indexing/search, or creating catalogs/backups from a Calibre library.
When the user wants to implement IndexNow, notify search engines of new/updated URLs, or speed up Bing indexing. Also use when the user mentions "IndexNow," "Bing indexing," "URL notification," "instant indexing," "sitemap IndexNow sync," "share URL list with sitemap," or "IndexNow API."
Vector search best practices for Azure DocumentDB using `cosmosSearch` — choosing between DiskANN / HNSW / IVF, creating indexes, tuning `lBuild` / `lSearch` / `maxDegree`, Product Quantization (up to 16,000 dims), half-precision (fp16) indexing, and normalizing embeddings for cosine similarity. Use when building RAG / semantic-search applications, creating a vector index, tuning recall/latency, or reducing vector-index memory footprint.