Awesome LLM Apps: give your agent project-graveyard in ten seconds

Who it is for

Awesome LLM Apps is aimed at people who want to add one verifiable skill to a coding agent quickly. Officially it describes itself as a collection of 100+ open-source AI agents, agent skills, and retrieval-augmented apps, and stresses that it is hand-written, tested end to end, and Apache-2.0. What actually documents installation and usage is one of those items: project-graveyard, which gives an agent a new skill in ten seconds, after which you use it in natural language.

The page names Claude Code, Codex, Cursor, and other coding agents, so do not read that list as a mutually exclusive allowlist. This is not one product's official plugin store, and it is not an installer that sets up all 100+ projects at once. A better starting point is: you already use one of those agents and you are willing to validate only the one skill the official docs write up. If you just want to browse the repository directory and never plan to run that npx command, this guide will not help you.

Finish your first try in 3 minutes

Prerequisite: npx is available locally, and your current coding agent can read newly installed skills. The official skill install is exactly this one line, so treat it as the only path:

npx skills add https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/project-graveyard

Do not turn any other folder in the collection into a second install command. Once it is installed, ask the official question in the official wording; this is a read-only check, so do not change business code yet:

why do I never finish my side projects?

Success signal: the agent answers that question using the skill you just installed, and it does not modify your repository. Officially it states one command to install and natural language to use; it also says each skill ships with real code and passes continuous integration gates for security and evaluation. This page gives no scoring details and no prompts for other skills, so the first run stops at that one question.

Source page: https://github.com/shubhamsaboo/awesome-llm-apps

Usage examples

Example one: validate project-graveyard with the official question. After installing, ask the official line, "why do I never finish my side projects?"; this is good for confirming that the agent has picked up the skill. It is an analytical question, so do not let it take the opportunity to delete local projects in bulk. The page does not say which directories it reads; if the agent is about to scan or modify files, stop and confirm first.

Example two: treat this skill as a sample of "one command + natural language". Officially it says an agent gets a new skill in ten seconds and then uses it in natural language. Once validation passes, you can follow up with one more natural-language question on the same topic, for example asking it to summarize only the reasons a project might be abandoned halfway, again without writing files. The collection holds many other agents and retrieval apps, but this page gives no install commands for them; the evidence stops at this one skill.

Usage boundaries

The collection claims 100+ open-source projects, but for the first install it recognizes only the npx command above pointing at project-graveyard. Claude Code, Codex, and Cursor are named examples, and other coding agents are mentioned as well. Do not assemble other agent_skills addresses from the directory tree. Officially there is no uninstall procedure, and no guarantee that every sub-project can be installed with that same command. If a question might trigger file changes, you must confirm first.