Turn requirements into UML diagrams, test cases and editable Word specs—with traceability. Self-hosted, bring your own AI model. Built for capstone and course projects.
codexqa: 11 local-first Agent Skills for Cursor, Claude Code, Codex & OpenClaw — change impact analysis, AI code review, defect scan, testcase generation, browser replay & RCA.
A free, self-paced computer science curriculum assembled from online courses and books, modeled on undergraduate CS degree requirements.
WHartTest 是一款AI驱动的测试自动化平台,实现从需求到可执行测试用例的自动化生成与管理,帮助测试团队提升效率与覆盖率。 (WHartTest is an AI-driven test automation platform that automates the generation and management of executable test cases from requirements, helping testing teams improve efficiency and coverage.)
Ontology-driven WorkBuddy skill for requirements discovery, domain modeling, and app generation | WorkBuddy 需求探索、本体建模与领域应用生成器
A set of tools to keep your pinned Python dependencies fresh.
This repository contains Open Source freely usable Threat Intel feeds that can be used without additional requirements. Contains multiple types such as IP, URL, CVE and Hash.
Requirements management using version control.
A source-grounded course and architectural reference for engineers designing systems that must survive real traffic, partial failure, security review, and changing requirements, spanning enterprise system design, distributed systems, AI systems, cybersecurity, reliability, cloud, HPC, edge, and mission-critical infrastructure.
A persistent, file-based memory layer for coding agents — give Claude Code, Codex & others a project brain (durable decisions, requirements, constraints) via a zero-dependency CLI.
An adaptive requirements interview skill that turns ideas into a structured brief and an execution-ready prompt.
dsh-qa · QA Workbench — A local software testing workbench plugin for DeepSeek Harness. Zero-dependency test project & iteration management with AI-assisted requirements, test cases, defects, milestones, reports, kanban and calendar.
Amagine3D: From hardware requirements to editable 3D designs
Multi agent system for AI-driven software development. Combine LLM with DevOps tools to convert natural language requirements into working software. Supports any development language and extends the existing code.
Bazarr is a companion application to Sonarr and Radarr. It manages and downloads subtitles based on your requirements. You define your preferences by TV show or movie and Bazarr takes care of everything for you.
The Enterprise Architecture Governance Harness — strategy, architecture, delivery, and assurance using AI coding assistants
A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency.
Audits Python environments, requirements files and dependency trees for known security vulnerabilities, and can automatically fix them
A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.
A stream-based runtime-verification framework for generating hard real-time C code.
Deploy a multi-account cloud foundation to support highly-regulated workloads and complex compliance requirements.
E2E test framework for tests with complex environment requirements.
KMinion is a feature-rich Prometheus exporter for Apache Kafka written in Go. It is lightweight and highly configurable so that it will meet your requirements.
LuatOS -- Powerful embedded Lua Engine for IoT devices, with many components and low memory requirements (16K RAM, 128K Flash)
Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.
Terminal-first, knowledge-grounded multi-agent software delivery pipeline: scope requirements, implement changes, run tests, and gate pull requests with deterministic QA and ensemble code review.
Astra Skill Optimizer for GPT-6/Astra project Skill and workflow adaptation
Turn vague product or feature ideas into clear, checkable requirements before planning or coding—mapping rough descriptions to professional terms, exposing ambiguities, and aligning goals, flows, and boundaries. 这是一个需求澄清 Skill:把说不清的想法整理成一份清晰、可核对的需求清单,在执行任务前对齐目标、流程与边界等。
InsightOS Semantic is a semantic agent system built by Jushi Intelligence (具识智能) for embodied AI scenarios. It semantically connects the robot's body, environment, tasks, skills, and operational experience; translates natural-language requirements into tasks the robot can execute; and closes the complete loop of understanding, planning, execution,
Open format for specifying structured assumptions and requirements about code.
Double-check before you ship: grill the requirements, test the implementation, prove the delivery. An engineering-discipline bundle for DeepSeek Harness.
🐺 Play Marvel's Wolverine on PC via KytyPS5 or SharpEmu. Full setup guide, compatibility table, emulator updates, system requirements, and troubleshooting. No game files hosted. No piracy. Single-player only.
Fortnite XP map codes directory concept for Windows: Creative island lookup, timer requirements, check dates and availability records, without guaranteed XP rewards.
Local-first document requirements and evidence review workbench with traceable citations and human review.
Plants vs Brainrots AFK farm macro concept for Windows, covering planting and collection loops, inventory checks, visible-window requirements and interruption handling.
NBA 2K27 MyCAREER badge progression planner concept for Windows, covering badge requirements, attribute comparisons and session records without badge-unlock claims.
把金融級 PRD 方法論工程化成四個 Claude Skills:找洞 → 寫規格 → 產測試。含交易所提現、自營交易挑戰賽的完整 PRD 範例。
OpenNavo is a free, open-source Homebrew GUI for Mac: it installs and updates Homebrew apps on your Mac in one click, and its website is a directory of Mac apps with release notes, system requirements and uninstall steps.
A curated list of MCP servers for SEO. Search Console, keywords, backlinks, crawling, SERPs and AI search visibility, verified with install details and auth requirements.
A local evaluation lab for decision models. Compare accuracy, speed and memory requirements through an interactive dashboard, inspectable test cases, workflow replays and shareable reports.
A pure-Python system that automatically discovers, verifies, and applies relevant historical requirements for coding agents — no embeddings, no vector database, no LLM calls. Companion code for the Towards Data Science article on intent continuity.
Validates Goose recipe files for schema errors, missing parameters/defaults, invalid requirements, extension configuration issues, and template mismatches. Understands YAML block scalars and Jinja-style {% for %} / {% set %} locals to minimize false positives.
A complete visual index of every Discord badge—from legacy milestones and Nitro tiers to the newest Guild Clan tags. Browse badge requirements, rarity, and unlock criteria in one clean, up-to-date gallery.
An AI Skill that teaches agents when to ask and when to just do it — minimal questions, no requirements interviews. Beginner-friendly.
Practical toolkit for writing, reviewing & validating requirements in the AI era — copy-paste AI prompts, checklists, reusable patterns, templates, and Mermaid diagrams, with worked before/after examples.
Ultimate assistant for Once Human. Features: Unlimited Health, Unlimited Stamina, XP Multiplier, All Resources, Blueprints, No Crafting Requirements, 15+ functions.