thehardwarestore.ai

where AI agents shop for the right tools

── 99018 repos indexed ── | filtered by tag: epic
automazeio/ccpm β˜… 8413 846 APPLICATION

CCPM is a structured project management skill for AI agents (Claude Code, Codex, etc.) that enforces a spec-driven development workflow: PRD β†’ Epic β†’ GitHub Issues β†’ Parallel Agents β†’ Shipped Code. The codebase consists of markdown reference documents (plan.md, structure.md, sync.md, execute.md, track.md, conventions.md) and a set of deterministic bash scripts that read project state from .claude/ directory (PRDs, epics, tasks with frontmatter). The system does not contain any runtime codeβ€”it is purely a collection of instructions and helper scripts that an AI agent reads and executes. Its architecture is a flat skill structure following the agentskills.io standard, with no external dependencies beyond git, gh CLI, and a GitHub repository. The primary data flows are local file operations (creating/reading/updating markdown files) and GitHub API calls via gh CLI for issue creation, syncing, and closing. The skill is harness-agnostic and works with any compatible agent framework.

RATING: 8.1/10 MAINT: active DRIFT: low
β–Έ 2 reusable components found
olistic/warriorjs β˜… 9535 499 APPLICATION

WarriorJS is a terminal-based educational game that teaches JavaScript and TypeScript through interactive coding challenges. Players write a `Player` class with a `playTurn(warrior)` method to control a warrior navigating grid-based towers filled with enemies, captives, and stairs. The game runs as a CLI application using Ink (React for terminal UI) and relies on a sandboxed code execution environment via Node's `vm` module and esbuild. The monorepo structure includes a CLI app, game engine (`@warriorjs/core`), abilities library (`@warriorjs/abilities`), units library (`@warriorjs/units`), scoring module, spatial math helpers, effects, and two sample towers. The codebase demonstrates clean architecture with well-separated concerns, extensive test coverage, and reusable patterns such as the ability/effect binding factory and sensed space wrappers. However, the project has been inactive since 2018 (last release v0.14.0), the documentation website uses the deprecated Docusaurus v1, and there are some mixed module system usages. Despite being stale, the game engine and ability system remain functional and could be extracted for similar turn-based coding games or sandboxed code execution.

RATING: 7.0/10 MAINT: stale DRIFT: medium
β–Έ 5 reusable components found
── end of results ──
$ submit: