Loading...
Loading...
Found 6,722 Skills
Translate Cypher and Neo4j-style queries into HelixDB Rust DSL stored queries. Use when the input contains Cypher, Neo4j, MATCH, OPTIONAL MATCH, WHERE, RETURN, ORDER BY, LIMIT, DISTINCT, MERGE, CASE, UNWIND, FOREACH, DETACH DELETE, IS NULL, or variable-length path patterns and the goal is to produce an equivalent Helix Rust query.
Expert in SNDA agreements (Subordination, Non-Disturbance, and Attornment) that protect tenants from eviction if the landlord's lender forecloses. Use when tenant is negotiating lease for major space requiring significant investment, lender is requiring subordination, analyzing tenant's foreclosure protection, drafting three-party SNDA agreements, evaluating whether tenant can survive foreclosure, or negotiating with lenders for non-disturbance protection. Key terms include SNDA, non-disturbance, attornment, subordination, foreclosure, lender priority, tenant protection, mortgage, charge, tripartite agreement, lease survival
Guides research engineering and science on LLM tokens—hypotheses about context use, tokenization, compression, and inference efficiency; rigorous benchmarks (tokens per task, quality–cost Pareto); ablation design; instrumentation and reproducible logs; and research memos that inform product decisions. Use when designing token-efficiency experiments, measuring context utilization, comparing compression or routing methods, analyzing tokenizer effects, or writing technical reports on token/cost trade-offs—not for phased cost roadmaps and owners (ai-token-improvement-plan-engineer), production context pipeline implementation (ai-context-engineer), single-prompt edits (prompt-engineer), general non-token AI research (ai-researcher), or shipping features (ai-engineer).
Help developers build with Chainlink Data Streams, including credentials guidance, report decoding, REST and WebSocket report retrieval with official Go/Rust/TypeScript SDKs, High Availability streaming, on-chain report verification, real-time frontend displays, report schema guidance, SQLite persistence, and timestamp lookback. Use this skill whenever the user mentions Chainlink Data Streams, Streams Direct, Data Streams reports, report schemas, report decoding, data-streams-sdk, or real-time low-latency market data from Chainlink.
Review test code for quality, design, and completeness after implementing a feature or fixing a bug. Use when the user asks to "review my tests", "check my test quality", "are these tests good enough", "review testing", or after completing a feature implementation that includes tests. Also use when tests feel brittle, flaky, or superficial. Cross-references production code to find coverage gaps.
Auto-activate for pytest_databases, Docker DB fixtures, PostgreSQL/pgvector/AlloyDB Omni/MySQL/Oracle/MSSQL/CockroachDB/Yugabyte/MongoDB/GizmoSQL/Redis/Spanner/BigQuery/Azurite/MinIO tests. Not for mocked DBs.
Research and validate an Amazon product opportunity end to end, and evaluate whether the niche around it is winnable. Assesses demand, competition, profit potential, entry barriers, review wall, differentiation room, and seasonality, and returns a go/no-go with the reasoning. Use when a user asks to research a product, find a product to sell, validate a product idea, assess an opportunity, evaluate a niche, find a profitable niche, judge whether a category is worth entering, or compare niches. Trigger phrases: "product research", "find a product to sell", "validate this product", "is this a good product", "product opportunity", "should I sell this", "niche finder", "evaluate this niche", "is this niche worth it", "good niche", "low competition niche", "should I enter". Works with zero tools. the user describes the product and what they can observe.
Plan Amazon Brand Tailored Promotions. targeted discounts sent to specific shopper audiences such as repeat customers, recent customers, brand followers, cart abandoners, and high-spend shoppers. Picks the right audience, the right discount depth, and the right goal for each promotion. Use when a user asks about Brand Tailored Promotions, targeting past customers with a discount, re-engaging repeat buyers, rewarding brand followers, or winning back lapsed customers. Trigger phrases: "brand tailored promotions", "BTP", "target repeat customers", "win back customers", "brand follower discount". Works with zero tools. the user describes their brand and audience sizes.
Optimize any form that is NOT signup or account registration — including lead capture, contact, demo request, application, survey, quote, and checkout forms. Use when the goal is to increase form completion rate, reduce friction, or improve lead quality without breaking compliance or downstream workflows.
Add official Railway database services (Postgres, Redis, MySQL, MongoDB). Use when user wants to add a database, says "add postgres", "add redis", "add database", "connect to database", or "wire up the database". For other templates (Ghost, Strapi, n8n), use the railway-templates skill.
Create comprehensive technical roadmaps aligned with business goals. Plan technology investments, architecture evolution, and infrastructure improvements over quarters and years.
Guide for game engine development resources including engine source code, plugins, and development guides. Use this skill when researching game engines (Unreal, Unity, Godot, custom engines), engine architecture, or game development frameworks.