904 AI tools for Write & ship code ?
A mobile development bundle for building, testing, and store-optimizing cross-platform iOS and Android apps.
Full-stack SaaS bundle combining PostgreSQL, AWS, GitLab, and Sentry MCP servers with Rails Developer, Python Developer, and Frontend Design skills plus
Develop, audit, and deploy secure smart contracts and Web3 apps with a security-first approach.
Data & AI/ML Engineer: Architects, builds, and deploys production-ready AI systems from requirements to documentation.
Autonomous Git Specialist agent for repository analysis, workflow optimization, and complex version control problem resolution.
AI agent that builds complete PyQt5 desktop applications - UI layout, signal/slot logic, threading, and cross-platform packaging.
An autonomous agent that analyzes a codebase and reorganizes it into a clean folder structure with a full migration plan.
An autonomous agent that builds functional MVP prototypes end to end, from architecture through deployment scripts.
An autonomous agent that generates contextual programming jokes and puns tailored to your tech stack and team mood.
An agent that formally specifies AI systems using SYMBO symbolic notation - geometric primitives, relationship operators, and layered abstraction.
An agent that designs REST and GraphQL APIs end to end, from OpenAPI specs and auth flows to developer-portal docs and test suites.
Run agent-generated Python code securely via Azure Dynamic Sessions, with file upload and download support.
Android ViewModel Agent for MVVM, lifecycle-aware components, and state management using Jetpack libraries. Simplifies modern Android development.
Expert agent for implementing, optimizing, and deploying CatBoost classifiers with native categorical handling and GPU acceleration.
Create comprehensive contributor guides for open source projects.
AI skill for building design systems - hierarchical design tokens, component APIs, atomic design, and cross-platform distribution.
Master Flutter's Bloc pattern for robust state management. Build testable, scalable apps with clean separation of concerns and unidirectional data flow.
Generate production-ready GraphQL resolvers with TypeScript, optimized for performance and error handling.
Expertise in iOS push notifications, covering APNs, token/certificate auth, payload optimization, and client/server implementation.
Builds production ML API endpoints with FastAPI: input validation, batch prediction, TTL caching, API key auth, and health/metrics monitoring.
Apple Developer Documentation MCP Server for AI assistants. Access Swift, SwiftUI, UIKit documentation via natural language queries.
Token-efficient code intelligence for AI assistants: structured module/function search, call-site tracking, and git/PR attribution.
Database-backed MCP memory bank server storing project decisions, progress, and patterns as a queryable knowledge graph for RAG.
Dagster is a cloud-native data pipeline orchestrator: declare data assets as Python functions with built-in lineage and observability.
A Python-to-Rust transpiler with semantic verification and memory safety analysis - compiles typed Python to a native binary via a single CLI command.
Extracts Figma design data - layout, colors, typography, components - and guides an AI coding agent to implement it as Flutter widgets and screens.
Full ServiceNow Fluent SDK access - init/build/deploy apps, 300+ API spec/snippet resources across 64 metadata types, and doc lookup with no project required.
Model Context Protocol server giving AI assistants 29 safe Git operations plus workflow combinations for managing repositories.
Unified, stateful local execution environment for Python, shell commands, and MCP tool calls made via a generated typed API.
Generate Soft Neo-Brutalism web UI code with hard shadows, thick black borders, and a chubby, tactile Tailwind design system.
Prompt Templates from CAMEL-AI provides reusable system and role prompt structures for shaping AI assistant behavior in multi-agent communication scenarios.
Task Prompt Template from CAMEL-AI provides reusable prompt structures for shaping AI assistant behavior in multi-agent task scenarios.
Code prompts from CAMEL-AI that shape assistant behavior for code-related tasks, providing system and role instructions to guide AI responses in programming
A prompt template that generates acronyms from any concept or phrase you provide, creating memorable shorthand for technical terms, project names, or business
A prompt template that generates acronyms from input strings and provides explanations for each acronym created, designed for the Semantic Kernel WriterPlugin.
Generate Conventional Commits-formatted messages from a diff, with correct type, imperative subject line, and body/footer.
A prompt that explains any code in a fixed five-part structure - overview, line-by-line breakdown, key concepts, issues, and usage example.
Prompt for pull request descriptions - a structured summary, change type, testing, and checklist template.
An OpenAI Cookbook walkthrough of the Assistants API's stateful primitives - Assistants, Threads, Runs - and its Code Interpreter, File Search, and Functions
An OpenAI Cookbook guide building a GPT-5.1 coding agent with the Agents SDK that scaffolds a Next.js app, edits it via apply_patch, and pulls live docs.
Automatically detect and fix prompt contradictions, format gaps, and few-shot mismatches with a multi-agent system.
Official OpenAI prompt-engineering guide for migrating to and steering GPT-5.2 in production agents.
OpenAI's official GPT-5 prompting guide for agentic control, coding performance, and instruction-following.
OpenAI's official GPT-4.1 prompting guide for agentic workflows, long context, instruction following, and diffs.
Archived LangGraph example implementing AlphaCodium-style iterative self-correcting code generation with Mistral's Codestral model.
Validate chat fine-tuning datasets, check token counts against the 16,385-token limit, and estimate fine-tuning cost.
Ollama evaluation examples for promptfoo that compare censored vs uncensored models and demonstrate function calling with tiny 1B parameter models.
