Implement Spf Use Case

OrganizationPopular

videojs

implement-spf-use-case

Implement an SPF use-case composition. Use when a delivery scenario combines feature variants and requires composition, tests, and status updates.

Overview

Publisher	videojs
Repository	`v10`
Skill name	`implement-spf-use-case`
Stars	1K
Forks	93
Bundled files	1
Links	Skill source Repository Homepage

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by videojs on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/videojs/v10/tree/main/.agents/skills/implement-spf-use-case
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.

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/videojs/v10.git /tmp/v10
mkdir -p .claude/skills
cp -r /tmp/v10/.agents/skills/implement-spf-use-case .claude/skills/implement-spf-use-case

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Implement Spf Use Case 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 Implement Spf Use Case 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 Implement Spf Use Case 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.

Implement an SPF use case

Read references/workflow.md completely before acting; it contains the detailed composition, prerequisite, implementation, testing, and cascade workflow.

Treat the use-case entry as planning input. Read it, its constituent features, current compositions/adapters, tests, and applicable conventions.

Verify each required feature is implemented for the requested scope; expose missing prerequisites instead of hiding them in wiring.
Reconcile documented assumptions with code and identify material open decisions.
Define the smallest observable composition increment and split it into independently testable prerequisite, behavior, composition, adapter, and documentation chunks.
Implement each chunk test-first at the correct feature, behavior, composition, or adapter boundary.
Run cumulative SPF tests, build, and size checks proportional to impact.
Collapse the use-case record to composition decisions, remaining scope, source pointers, and directly affected relationships.

Report implemented and deferred scope, evidence, record updates, and remaining risks. Do not claim the use case complete while constituents remain partial.

Example

Input: “Implement the smallest playable low-latency live composition.”

Output: A verified minimal composition, exposed prerequisites, cumulative checks, updated use-case evidence, and explicit deferred work.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/workflow.md37 KB

Frequently asked questions

What does the Implement Spf Use Case AI skill do?

Implement an SPF use-case composition. Use when a delivery scenario combines feature variants and requires composition, tests, and status updates.

Why use Implement Spf Use Case on TypingMind?

Because you install it once and use it with any model. Implement Spf Use Case 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 Implement Spf Use Case in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/videojs/v10/tree/main/.agents/skills/implement-spf-use-case. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Implement Spf Use Case?

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 Implement Spf Use Case?

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

Is the Implement Spf Use Case AI skill free?

It is published on GitHub by videojs. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Implement an SPF use case

Example

Bundled files

Frequently asked questions

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