Results for “string-functions”

Reference for MariaDB aggregate functions, covering counting, totals, extrema, string and bitwise aggregation, and statistical functions, with guidance on NULL handling and common pitfalls.

Diagnose OCI Functions setup, control-plane, deployment, invocation, and observability issues using a deterministic triage workflow.

Optimize PostgreSQL databases with advanced features, performance tuning, and best practices for JSONB, full-text search, window functions, and indexing.

Analyzes Android apps to identify user workflows for AppFunctions, generates Kotlin code to expose them to the Android system, and refines KDoc documentation for AI agent compatibility.

Limpia y transforma texto en DataFrames usando expresiones regulares: extrae emails, teléfonos, fechas y precios, valida formatos como CUIL o CBU, y maneja datos inconsistentes con opciones de fuzzy matching.

Imported skill utils from langchain

Refactors Swift code toward declarative functional programming with immutability, value types, pure functions, transformations, and closure-based APIs.

Design, build, and manage AWS Step Functions state machines for serverless workflow orchestration, including error handling, parallel execution, and integration with AWS services.

Provides SQL window function examples for ranking, aggregation, lag/lead, value extraction, frame specifications, and advanced analytics.

任意のジャンル・テーマで曲＋歌詞を制作する汎用作曲エンジン。曲先（メロディ淘汰型）でキャッチーなサビメロディを複数生成→人間が選別→変奏淘汰で確定→歌詞を載せる、ヒット曲プロセス準拠。作曲・作詞に特化。MiniMax music-2.6 主軸。ユーザーが「曲作って」「作曲して」「音楽作って」「歌作って」「オリジナル曲作って」「新しい曲作って」「武将で曲作って」「サイバー和で曲作って」と言った時、または /make-song を呼んだ時にトリガー。テーマ修飾（武将/サイバー和）は Phase 0 の [THEME] 選択で対応。

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.

Improves code readability and maintainability by applying SOLID principles, meaningful naming, small functions, proper error handling, and DRY practices.

Apply functional programming patterns with fp-ts in React, covering state management, form validation, and data fetching for React 18/19 and Next.js 14/15.

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows

Automates browser tasks including navigation, data extraction, screenshots, form filling, and session management via a CLI tool.

Systematically repair a broken feature or module by scoping, tracing dependencies, diagnosing all issues, fixing them in order, and verifying end-to-end.

Catalog of MariaDB JSON functions with signatures and semantics, covering constructors, extraction, modification, merging, validation, introspection, and formatting. Use when writing SQL that builds, queries, or alters JSON data in MariaDB.

Grill me about specs for the workflows I want to build, within this workspace.

Explains MariaDB's three CREATE FUNCTION forms — stored functions, stored aggregate functions, and loadable UDFs — covering syntax, privileges, and behavior differences for writing or reviewing MariaDB SQL.

TypeScript Type Guards

Add GET, POST, PATCH, and DELETE operations to a TypeSpec API plugin with proper routing, parameters, and adaptive cards.

Build, configure, scaffold, and deploy OCI Functions from a local machine using a dependency-first, Fn-context-guided flow with structured confirmations.

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting, then commit with git.

Use this skill for feature flags, gradual rollout, kill switches, metrics, experiment gates, rollback. Trigger when the task involves programming work related to Feature Flag Rollout, implementation, audits, debugging, strategy, or validation.

Practical patterns for using fp-ts with React - hooks, state, forms, data fetching. Works with React 18/19, Next.js 14/15.

Use for high-throughput implementation tasks from clear specs and acceptance criteria.

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.

Use when code is hard to read, has duplication, is too complex, has grown beyond 300 lines, or needs restructuring without changing behavior. For extracting functions, simplifying nested logic, removing dead code, improving naming, splitting large files, and applying clean code principles. Activate when user says "clean this up", "this is messy", "simplify", "extract", or "improve readability".

Selector functions for the chota-react-saga template — colocated with each slice, return derived view-data from the saga state shape (isLoading/isContentLoading/isActionLoading/error/<items>/<current>), filter/sort projections that combine slices (e.g. visibleTodos × selectedFilter).

Write idiomatic, high-performance PHP using generators, iterators, SPL data structures, and modern OOP features.

Write idiomatic PHP code with generators, iterators, SPL data structures, and modern OOP features. Use PROACTIVELY for high-performance PHP applications.

Generate one high-value follow-up workflow proposal when MoonMind execution quality issues are detected in a run.

Modernizes legacy scripts (bash, Node, Python) by replacing deprecated APIs, adding error handling, converting callbacks to async/await, and improving maintainability. Turns brittle one-off scripts into reliable, documented tools.

변경된 파일을 기능별로 그룹화하여 커밋 생성

Implement OpenFeature feature flags in software projects. Use when adding feature flags with OpenFeature SDKs, configuring providers, setting up evaluation context, or integrating the OpenFeature MCP Server.