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Search Development Workflow , found 487 results

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Lean Spec-Driven Feature Development

tech-leads-club/agent-skills

A four-step workflow (plan, checks, build, verify) that freezes observable obligations instead of choreographing tasks. One human-reviewed plan with EARS criteria and one-way doors, proof-backed checks, then an independent fresh Verifier over the feature commits.

MobileBuildMCP iOS Build Tool

mobilebuildmcp-cli

getsentry/MobileBuildMCP

MobileBuildMCP CLI is an official utility for iOS, macOS, watchOS, tvOS, and visionOS development. It simplifies build, test, run, debug, log, and UI automation tasks by wrapping native Xcode tools like xcodebuild and simctl. Use this skill to manage mobile project workflows efficiently without memorizing complex command-line arguments.

MobileBuildMCP Apple Development

getsentry/MobileBuildMCP

MobileBuildMCP provides tools for iOS, macOS, watchOS, tvOS, and visionOS development, including building, testing, running, debugging, logging, and UI automation. Use it to streamline Apple platform workflows.

Sub-Agent Task Delegation

TokenRhythm/opensquilla

This skill allows delegating self-contained coding tasks to assistants like Codex or Claude Code via non-interactive background processes. It supports feature development, code review, and refactoring. Use OpenSquilla's exec_command and process tools to manage sessions, poll output, and send inputs without blocking the main workflow. Ideal for tasks requiring substantial file exploration.

AgentFolio: Autonomous AI Agents Directory

sickn33/agentic-awesome-skills

A comprehensive directory designed for discovering, researching, and comparing autonomous AI agents, frameworks, and tools across diverse ecosystems. This skill helps users map the current AI agent landscape, identify existing solutions, gather best practices, and pinpoint market gaps before initiating custom development or workflow design.

AI Agent Development Workflow Guide

ai-agent-development

sickn33/agentic-awesome-skills

A comprehensive, multi-phase workflow designed for building sophisticated AI systems. This guide covers everything from designing autonomous agents and implementing single-agent logic, to orchestrating complex multi-agent systems and integrating advanced tools and memory mechanisms. Ideal for developers building production-grade AI applications using frameworks like CrewAI and LangGraph.

AI-Driven Spec-Build-Review Loop

sickn33/agentic-awesome-skills

This skill structures a highly controlled, bounded development life cycle for AI agents. It mandates a structured three-phase workflow: Planning (Spec), Implementation (Build), and Verification (Review). It is essential for building complex features from scratch, especially when dealing with ambiguous requirements, high risk, or needing explicit human approval gates to ensure the resulting code meets all defined specifications.

Comprehensive AI/ML Development Workflow

sickn33/agentic-awesome-skills

A comprehensive, multi-phased workflow bundle designed for building production-grade AI and Machine Learning applications. It guides users through key stages, including AI application design, RAG implementation, autonomous agent development, robust ML pipelines, AI observability setup, and security hardening.

Orchestrating Multi-Agent Development Workflows

antigravity-agent-manager

sickn33/agentic-awesome-skills

This skill provides a comprehensive playbook for setting up and orchestrating multi-agent systems using the standalone Antigravity 2.0 Agent Manager alongside the Antigravity IDE. It guides developers on creating a dual-window workspace to coordinate specialized AI agents (e.g., front-end, back-end, QA) to work in parallel on a single codebase, significantly boosting development efficiency and managing concurrent code changes.

Apify Integration Development

apify-integration-development

sickn33/agentic-awesome-skills

Design and build official Apify integrations for company products with minimal external help. Covers workflow automation, AI agent plugins, framework packages, and direct clients. Includes guidance on vocabulary mirroring, asynchronous run flows, and cost controls. Use Apify MCP for research and follow category-specific reference files for UX design and capability matrices to ensure a first-class integration.

Azure Application Insights SDK for .NET

azure-mgmt-applicationinsights-dotnet

sickn33/agentic-awesome-skills

This .NET SDK enables developers to manage Azure Application Insights resources for application performance monitoring and observability. It supports creating components, retrieving connection strings, generating API keys, and configuring availability tests via C# code. Ideal for DevOps and backend development workflows involving cloud monitoring.

Robust Bash Scripting Workflow Guide

sickn33/agentic-awesome-skills

A comprehensive, multi-phase workflow designed for creating production-ready Bash scripts. This guide covers the entire development lifecycle, including defensive pattern implementation, structured error handling (traps, retry logic), logging strategies, rigorous unit testing using Bats, and professional documentation. Ideal for system administration, CI/CD automation, and core DevOps scripting.

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