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Implement Spf Feature

OrganizationPopular
videojs
implement-spf-feature

Implement an SPF feature from its registry entry. Use when an engine capability spans behaviors and requires tests plus status updates.

Overview

Publishervideojs
Repositoryv10
Skill nameimplement-spf-feature
Stars
1K
Forks
93
Bundled files
1
Links
  • 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 Feature 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.
    https://github.com/videojs/v10/tree/main/.agents/skills/implement-spf-feature
  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/videojs/v10.git /tmp/v10
mkdir -p .claude/skills
cp -r /tmp/v10/.agents/skills/implement-spf-feature .claude/skills/implement-spf-feature
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Implement Spf Feature 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 Feature 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 Feature 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 feature

Read references/workflow.md completely before acting; it contains the detailed disambiguation, planning, implementation, testing, and registry-update workflow.

Treat the feature entry as planning input. Reconcile it with code, tests, conventions, and requested scope before editing.

  1. Read the entry, related features, implementation, tests, and applicable SPF conventions.
  2. List contradictions, open decisions, and out-of-scope capability.
  3. Define the smallest end-to-end increment with observable value and split it into testable state, behavior, composition, adapter, and documentation chunks.
  4. For each chunk, add or update a failing test, implement the minimum at the correct ownership layer, and run the narrow target.
  5. Run cumulative SPF tests, build, and size checks proportional to impact.
  6. Collapse the feature record to final decisions, remaining scope, and current source pointers.

Report implemented and deferred scope, test evidence, record updates, and remaining risks. Do not claim completion for a prerequisite or partial increment.

Example

Input: “Implement the smallest useful increment of timeline discontinuity support.”

Output: The smallest end-to-end capability, test evidence, proportional checks, updated feature status, and explicit deferred scope.

Bundled files

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

Frequently asked questions

What does the Implement Spf Feature AI skill do?

Implement an SPF feature from its registry entry. Use when an engine capability spans behaviors and requires tests plus status updates.

Why use Implement Spf Feature on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/videojs/v10/tree/main/.agents/skills/implement-spf-feature. 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 Feature?

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 Feature?

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

Is the Implement Spf Feature 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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