Athletics logo

Athletics

Community
Hmbown
athletics

Use this skill when the job is mostly about sustained force: large batches, exhaustive passes, long-running jobs, or load that needs to be carried without dropping it. It is the right metaphor when the answer is more throughput, sturdier batching, and disciplined endurance.

Overview

PublisherHmbown
RepositoryWizards-of-the-Ghosts
Skill nameathletics
Stars
106
Forks
10
Bundled files
Instructions only
LicenseCC0-1.0
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Hmbown on GitHub. Read the source before you install it.

Installation

Install the Athletics AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Hmbown/Wizards-of-the-Ghosts.git /tmp/Wizards-of-the-Ghosts
mkdir -p .claude/skills
cp -r /tmp/Wizards-of-the-Ghosts/generated/hermes/actions-access-and-automation/athletics .claude/skills/athletics
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Athletics in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Athletics on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Athletics is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Athletics

Push a heavy workload through to completion when elegance is optional.

What This Skill Does

Use this skill when the job is mostly about sustained force: large batches, exhaustive passes, long-running jobs, or load that needs to be carried without dropping it. It is the right metaphor when the answer is more throughput, sturdier batching, and disciplined endurance. In this grimoire, Athletics is treated as a metaphorical skill with a shipping-now delivery profile. Canonical reference input: Athletics (skill).

When To Use

  • The work is bottlenecked by volume, throughput, or runtime rather than subtle logic.
  • You need batching, parallelism, or chunked processing across a large surface area.
  • A marathon job needs progress accounting, retries, and stamina more than cleverness.

Prerequisites

  • No extra runtime dependencies beyond Hermes Agent and the normal toolset for this session.

Procedure

  1. Restate the target, the success condition, and any no-touch boundaries before taking action.
  2. Estimate the total volume, runtime, and strain points before you start lifting.
  3. Choose the batching, parallelism, and checkpoint strategy that can survive a long haul.
  4. Return a durable run plan with throughput targets, resumability, and likely strain points.
  5. Package the result as the deliverables below, with confidence, assumptions, and unresolved risk called out explicitly.

Deliverables

  • A high-throughput execution or load plan.
  • A resumable batching strategy with checkpoints.
  • An estimate of cost, duration, and the main bottlenecks.

Pitfalls / Guardrails

  • Keep the metaphor anchored to a real mechanism instead of drifting into lore.
  • Do not brute-force external systems past safe limits, quotas, or terms of use.
  • Stop and redesign when a coordination bug would become catastrophic at scale.

Verification

  • Check that the result includes every deliverable promised above.
  • Check that confirmed facts, assumptions, and inferences are visibly separated.
  • Check that the metaphor still maps cleanly to a real operational mechanism.

Example Invocation

text
/athletics turn this into a durable high-throughput run plan and tell me where it will strain

Frequently asked questions

What does the Athletics AI skill do?

Use this skill when the job is mostly about sustained force: large batches, exhaustive passes, long-running jobs, or load that needs to be carried without dropping it. It is the right metaphor when the answer is more throughput, sturdier batching, and disciplined endurance.

Why use Athletics on TypingMind?

Because you install it once and use it with any model. Athletics is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Athletics in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Hmbown/Wizards-of-the-Ghosts/tree/main/generated/hermes/actions-access-and-automation/athletics. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Athletics?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Athletics?

As many as you like. As long as a model supports skills, you can use Athletics with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Athletics AI skill free?

Yes. It is published on GitHub by Hmbown under the CC0-1.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Related AI Skills

View all
affaan-m logo

Api Design

affaan-m
CommunityPopular

Patrones de diseño REST API incluyendo nomenclatura de recursos, códigos de estado, paginación, filtrado, respuestas de error, versionado y rate limiting para APIs de producción.

39.1K
261.1K
Instructions
View
affaan-m logo

Backend Patterns

affaan-m
CommunityPopular

Patrones de arquitectura backend, diseño de API, optimización de base de datos y buenas prácticas del lado del servidor para Node.js, Express y rutas API de Next.js.

39.1K
261.1K
Instructions
View
affaan-m logo

Coding Standards

affaan-m
CommunityPopular

Convenciones de codificación base entre proyectos para nomenclatura, legibilidad, inmutabilidad y revisión de calidad de código. Usar skills de frontend o backend para patrones específicos de…

39.1K
261.1K
Instructions
View
affaan-m logo

Continuous Learning V2

affaan-m
CommunityPopular

Sistema de aprendizaje basado en instintos que observa sesiones mediante hooks, crea instintos atómicos con puntuación de confianza y los evoluciona en skills/comandos/agentes. v2.1 agrega instintos…

39.1K
261.1K
Instructions
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇