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Longstrider

Community
Hmbown
longstrider

Longstrider is the optimization spell for systems that already work. It makes the path shorter without changing the destination. It cares about sustained pace, not flashy one-off benchmarks.

Overview

PublisherHmbown
RepositoryWizards-of-the-Ghosts
Skill namelongstrider
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 Longstrider 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/longstrider .claude/skills/longstrider
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Longstrider 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 Longstrider 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 Longstrider 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.

Longstrider

Make the path shorter without changing the destination.

What This Skill Does

Longstrider is the optimization spell for systems that already work. It makes the path shorter without changing the destination. It cares about sustained pace, not flashy one-off benchmarks. In this grimoire, Longstrider is treated as a metaphorical spell with a shipping-now delivery profile. Canonical reference input: Longstrider (spell).

When To Use

  • Trigger Longstrider when the user describes a working system that is slower than it should be and asks for speed improvements. Look for:
  • Time complaints with metrics: "takes 22 minutes", "4.2 seconds to load", "p95 is 800ms", "cold start is 8 seconds"
  • Optimization keywords: "bottleneck", "speed up", "optimize", "faster", "profiling", "cache", "parallelize", "batch"
  • Constraint phrases: "without rewriting", "without skipping tests", "without schema changes", "quick wins", "don't want to change the product"
  • Evidence of friction: "most of that is...", "the largest contentful paint is...", "single-threaded Python reading line by line"
  • Measurement mindset: "before/after", "measurement plan", "profile", "identify what's happening"

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. Profile first: Identify where time, waiting, or repeated work is actually being spent. Never optimize based on vibes—demand or propose measurement of the real bottleneck.
  3. Smallest effective change: Choose the minimal optimization that attacks the highest-friction segment. Prefer caching, batching, parallelism, or path simplification over rewrites.
  4. Return the speed plan: Deliver a prioritized optimization plan with expected gains, a before-and-after measurement strategy, and a watchlist for correctness, cost, or cache-invalidation regressions.
  5. Package the result as the deliverables below, with confidence, assumptions, and unresolved risk called out explicitly.

Deliverables

  • A prioritized optimization plan.
  • A before-and-after measurement strategy.
  • A watchlist for correctness, cost, or cache-invalidation regressions.

Pitfalls / Guardrails

  • Keep the metaphor anchored to a real mechanism instead of drifting into lore.
  • Protect correctness and maintainability over raw speed
  • Identify the real bottleneck before proposing solutions
  • Flag regression risks explicitly (cache invalidation, race conditions, test integrity)
  • Do not use for: Rewrites or migrations: "rewrite from Node.js to Go" → different spell
  • Do not use for: Bug fixes: "deploy keeps failing due to permissions" → fix spell, not optimization
  • Do not use for: Resilience patterns: "add retry logic and circuit breakers" → reliability spell
  • Do not use for: Concept teaching: "explain generators and async/await" → education spell
  • Do not use for: Team scaling: "write a hiring plan" → org spell
  • Do not use for: Personal fitness: "optimize my training schedule" → literal misinterpretation

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
/longstrider show me how to make this workflow meaningfully faster without changing what it is supposed to accomplish

Frequently asked questions

What does the Longstrider AI skill do?

Longstrider is the optimization spell for systems that already work. It makes the path shorter without changing the destination. It cares about sustained pace, not flashy one-off benchmarks.

Why use Longstrider on TypingMind?

Because you install it once and use it with any model. Longstrider 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 Longstrider 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/longstrider. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Longstrider?

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 Longstrider?

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

Is the Longstrider 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.

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