Openspec Ff Change logo

Openspec Ff Change

OrganizationPopular
rpamis
openspec-ff-change

Fast-forward through OpenSpec artifact creation. Use when the user wants to quickly create all artifacts needed for implementation without stepping through each one individually.

Overview

Publisherrpamis
Repositorycomet
Skill nameopenspec-ff-change
Stars
3.1K
Forks
295
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

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

  • Open source

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

Installation

Install the Openspec Ff Change 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/rpamis/comet.git /tmp/comet
mkdir -p .claude/skills
cp -r /tmp/comet/eval/local/skills/benchmarks/dependency/openspec/openspec-ff-change .claude/skills/openspec-ff-change
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openspec Ff Change 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 Openspec Ff Change 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 Openspec Ff Change 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.

Fast-forward through artifact creation - generate everything needed to start implementation in one go.

Input: The user's request should include a change name (kebab-case) OR a description of what they want to build.

Steps

  1. If no clear input provided, ask what they want to build

    Use the AskUserQuestion tool (open-ended, no preset options) to ask:

    "What change do you want to work on? Describe what you want to build or fix."

    From their description, derive a kebab-case name (e.g., "add user authentication" → add-user-auth).

    IMPORTANT: Do NOT proceed without understanding what the user wants to build.

  2. Create the change directory

    bash
    openspec new change "<name>"

    This creates a scaffolded change at openspec/changes/<name>/.

  3. Get the artifact build order

    bash
    openspec status --change "<name>" --json

    Parse the JSON to get:

    • applyRequires: array of artifact IDs needed before implementation (e.g., ["tasks"])
    • artifacts: list of all artifacts with their status and dependencies
  4. Create artifacts in sequence until apply-ready

    Use the TodoWrite tool to track progress through the artifacts.

    Loop through artifacts in dependency order (artifacts with no pending dependencies first):

    a. For each artifact that is ready (dependencies satisfied):

    • Get instructions:
      bash
      openspec instructions <artifact-id> --change "<name>" --json
    • The instructions JSON includes:
      • context: Project background (constraints for you - do NOT include in output)
      • rules: Artifact-specific rules (constraints for you - do NOT include in output)
      • template: The structure to use for your output file
      • instruction: Schema-specific guidance for this artifact type
      • outputPath: Where to write the artifact
      • dependencies: Completed artifacts to read for context
    • Read any completed dependency files for context
    • Create the artifact file using template as the structure
    • Apply context and rules as constraints - but do NOT copy them into the file
    • Show brief progress: "✓ Created "

    b. Continue until all applyRequires artifacts are complete

    • After creating each artifact, re-run openspec status --change "<name>" --json
    • Check if every artifact ID in applyRequires has status: "done" in the artifacts array
    • Stop when all applyRequires artifacts are done

    c. If an artifact requires user input (unclear context):

    • Use AskUserQuestion tool to clarify
    • Then continue with creation
  5. Show final status

    bash
    openspec status --change "<name>"

Output

After completing all artifacts, summarize:

  • Change name and location
  • List of artifacts created with brief descriptions
  • What's ready: "All artifacts created! Ready for implementation."
  • Prompt: "Run /opsx:apply or ask me to implement to start working on the tasks."

Artifact Creation Guidelines

  • Follow the instruction field from openspec instructions for each artifact type
  • The schema defines what each artifact should contain - follow it
  • Read dependency artifacts for context before creating new ones
  • Use template as the structure for your output file - fill in its sections
  • IMPORTANT: context and rules are constraints for YOU, not content for the file
    • Do NOT copy <context>, <rules>, <project_context> blocks into the artifact
    • These guide what you write, but should never appear in the output

Guardrails

  • Create ALL artifacts needed for implementation (as defined by schema's apply.requires)
  • Always read dependency artifacts before creating a new one
  • If context is critically unclear, ask the user - but prefer making reasonable decisions to keep momentum
  • If a change with that name already exists, suggest continuing that change instead
  • Verify each artifact file exists after writing before proceeding to next

Frequently asked questions

What does the Openspec Ff Change AI skill do?

Fast-forward through OpenSpec artifact creation. Use when the user wants to quickly create all artifacts needed for implementation without stepping through each one individually.

Why use Openspec Ff Change on TypingMind?

Because you install it once and use it with any model. Openspec Ff Change 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 Openspec Ff Change in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rpamis/comet/tree/master/eval/local/skills/benchmarks/dependency/openspec/openspec-ff-change. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Openspec Ff Change?

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 Openspec Ff Change?

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

Is the Openspec Ff Change AI skill free?

Yes. It is published on GitHub by rpamis under the MIT 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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