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Found 875 Skills
Provides tool and function calling patterns with LangChain4j. Handles defining tools, function calls, and LLM agent integration. Use when building agentic applications that interact with tools.
Provides comprehensive Drizzle ORM patterns for schema definition, CRUD operations, relations, queries, transactions, and migrations. Proactively use for any Drizzle ORM development including defining database schemas, writing type-safe queries, implementing relations, managing transactions, and setting up migrations with Drizzle Kit. Supports PostgreSQL, MySQL, SQLite, MSSQL, and CockroachDB.
Configure session keys and policies for Cartridge Controller to enable gasless, pre-approved transactions. Use when defining contract interaction policies, setting spending limits, configuring signed message policies, or implementing error handling for session-based transactions. Covers SessionPolicies type, policy definitions, verified sessions, and error display modes.
Zustand store data structure patterns for LobeHub. Covers List vs Detail data structures, Map + Reducer patterns, type definitions, and when to use each pattern. Use when designing store state, choosing data structures, or implementing list/detail pages.
Rust sanitizers and Miri skill for memory safety validation. Use when running AddressSanitizer or ThreadSanitizer on Rust code, interpreting sanitizer reports, using Miri to detect undefined behaviour in unsafe Rust, or validating unsafe code correctness. Activates on queries about Rust ASan, Rust TSan, Miri, RUSTFLAGS sanitize, cargo miri, unsafe Rust UB, or interpreting Rust sanitizer output.
Drizzle ORM reference for PostgreSQL — schema definition, typesafe queries, relations, and migrations with drizzle-kit. Use when: (1) defining pgTable schemas with column types, indexes, constraints, or enums, (2) writing select/insert/update/delete queries or joins, (3) defining relations and using the relational query API (db.query.*), (4) running drizzle-kit generate/migrate/push/pull, (5) configuring drizzle.config.ts, (6) using the sql`` template operator, or (7) working with PostGIS/pg_vector extensions.
Conducts comprehensive 90-minute discovery interviews to extract complete product requirements before implementation. Triggers when starting new SaaS projects, defining product scope, or validating ideas. Includes product management expertise to guide users through difficult questions.
Use this when you need to EVALUATE OR IMPROVE or OPTIMIZE an existing LLM agent's output quality - including improving tool selection accuracy, answer quality, reducing costs, or fixing issues where the agent gives wrong/incomplete responses. Evaluates agents systematically using MLflow evaluation with datasets, scorers, and tracing. Covers end-to-end evaluation workflow or individual components (tracing setup, dataset creation, scorer definition, evaluation execution).
Generate realistic KPI benchmarks for an influencer campaign before launch based on industry, platform, creator tier, and budget. This skill should be used when setting performance expectations for a creator campaign, estimating reach engagement and conversion benchmarks before launch, building KPI targets for an influencer program, forecasting campaign performance by creator tier and platform, setting EMV and ROAS targets for a campaign brief, defining what good looks like for an upcoming creator activation, calibrating expectations for a gifting or paid campaign across Instagram TikTok or YouTube, or creating a benchmark framework to measure campaign success against. For calculating ROI after a campaign ends, see campaign-roi-calculator. For calculating engagement rates from actual post data, see engagement-rate-calculator-benchmarker. For building a full KPI framework tied to business objectives, see campaign-goal-to-kpi-framework-builder.
Build a complete KPI framework for a creator marketing campaign from a business objective. This skill should be used when setting KPIs for an influencer campaign, building a measurement plan before campaign launch, mapping business objectives to creator marketing metrics, defining primary and secondary KPIs for a creator program, creating a metrics framework for an awareness or conversion campaign, setting measurement benchmarks by creator tier, building a KPI dashboard structure for influencer reporting, or defining success criteria before activating creators. For calculating ROI after a campaign ends, see campaign-roi-calculator. For setting numeric benchmark targets, see performance-benchmark-setter. For tracking creator posting compliance, see creator-posting-compliance-tracker.
Complete git workflow patterns including GitHub Flow branching, atomic commits with interactive staging, merge and rebase strategies, and recovery operations using reflog. Essential patterns for clean history. Use when managing branches, defining branching strategy, or recovering git history.
Architecture Decision Records and living architecture documentation. Activate when making technology choices, defining system boundaries, recording architectural decisions, or creating/updating ARCHITECTURE.md. Covers ADR format, decision governance, design facilitation, and architectural review.