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Found 785 Skills
Run Neo4j Graph Analytics algorithms (PageRank, Louvain, WCC, Dijkstra, KNN, Node2Vec, FastRP, GraphSAGE) directly inside Snowflake without moving data. Use when running graph algorithms against Snowflake tables via the Neo4j Snowflake Native App ("GDS Snowflake", "graph algorithms in Snowflake", "Neo4j Graph Analytics"). Covers installation, privilege setup, project-compute-write pattern, and SQL CALL syntax. Does NOT cover Cypher or Neo4j DBMS queries — use neo4j-cypher-skill. Does NOT cover Aura Graph Analytics — use neo4j-aura-graph-analytics-skill. Does NOT cover self-managed GDS — use neo4j-gds-skill.
Pull every meal you ever logged out of MyFitnessPal — per-food CSV, agent-shaped trends, and a local SQLite store. Trigger phrases: `what did I eat this week`, `export my food diary`, `find every time I logged X`, `top foods driving my protein`, `am I hitting my calorie streak`, `use myfitnesspal`, `run myfitnesspal`.
Write Prisma Next queries — pick a lane (`db.orm.<Model>` for CRUD and includes, `db.sql.<table>` SQL builder for set-builder shapes the ORM doesn't express), filter / project / sort / paginate, eager-load relations with `.include(...)`, transactions via `db.transaction(...)`, aggregates via `.aggregate(...)`. Use for query, where, select, orderBy, take, skip, include, eager load, first, all, count, aggregate, create, update, delete, upsert, returning, transaction, db.transaction, drizzle-style, kysely-style, prisma client, db.close, script, script won't exit, hangs, close connection, db.end, pool.end, await using. Also covers result consumption (`.all()` is a Thenable — just `await` it; no `collect()` / `toArray()` helper needed), single-consumption semantics (`RUNTIME.ITERATOR_CONSUMED`), aggregate nullability (`count` returns `number`, `sum/avg/min/max` return `number | null` per SQL semantics), and range conditions (chain `.where()` clauses or use `and(...)` — there is no `.between(...)`).
Pre-indexed code knowledge graph (MCP, SQLite + tree-sitter) for faster, lower-token exploration of brownfield codebases. Use when starting work on a repo larger than ~500 files or when the task involves cross-file traversal — "where is X used", "what calls Y", "what breaks if I change Z", "trace flow from A to B", "explain this subsystem". Skip for single-file edits or sessions shorter than the cold-start cost. Triggers include "codegraph", "code graph", "index this repo", "where is X defined", "find callers of", "callees of", "blast radius of changing X", "explore this codebase". Replaces grep + Read loops with O(1) SQLite lookups and FTS5 search via 8 MCP tools.
FastAPI with Supabase and SQLAlchemy/SQLModel
Security best practices for web applications. Use when handling user input, authentication, or sensitive data. Covers XSS, SQL injection, CSRF, environment variables, and secure coding patterns.
Guides the agent through async database integration with SQLAlchemy and Alembic migrations for FastAPI applications. Triggered when users ask to "set up a database", "create database models", "add SQLAlchemy", "create migrations", "run Alembic", "connect to PostgreSQL", "add a database layer", "create CRUD operations", "set up async database", or mention SQLAlchemy, Alembic, ORM, database models, async database, connection pool, or database migrations.
Query macOS iMessage database (chat.db) via SQLite. Decode NSAttributedString messages, handle tapbacks, search conversations. TRIGGERS - imessage, chat.db, messages database, text messages, iMessage history, NSAttributedString, attributedBody
Subscribe to AI and tech RSS feeds and persist normalized metadata into SQLite using mature Python tooling (feedparser + sqlite3). Use when adding feed URLs/OPML sources, running incremental sync with deduplication, and storing entry metadata without full-text extraction or summarization.
Generate, optimize, and explain SQL queries with best practices. Use when writing database queries or optimizing SQL performance.
Data analysis, SQL queries, BigQuery operations, and data insights. Use for data analysis tasks and queries.
Query, monitor, and analyze jobs on IBM i using SQL table functions via ibmi-mcp-server. Use when user asks about: (1) finding jobs by status, user, subsystem, or type, (2) monitoring active job performance (CPU, I/O, memory), (3) detecting long-running SQL statements, (4) analyzing lock contention, (5) checking job queues, (6) replacing WRKACTJOB, WRKUSRJOB, WRKSBSJOB, WRKSBMJOB commands, or (7) any IBM i work management task.