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Openspec Continue Change

OrganizationPopular
Fission-AI
openspec-continue-change

Continue working on an OpenSpec change by creating the next artifact. Use when the user wants to progress their change, create the next artifact, or continue their workflow. Also use when the user says "openspec continue" or "opsx continue".

Overview

PublisherFission-AI
RepositoryOpenSpec
Skill nameopenspec-continue-change
Stars
70.8K
Forks
4.9K
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 Fission-AI on GitHub. Read the source before you install it.

Installation

Install the Openspec Continue 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.
    https://github.com/Fission-AI/OpenSpec/tree/main/skills/openspec-continue-change
  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/Fission-AI/OpenSpec.git /tmp/OpenSpec
mkdir -p .claude/skills
cp -r /tmp/OpenSpec/skills/openspec-continue-change .claude/skills/openspec-continue-change
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openspec Continue 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 Continue 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 Continue 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.

Continue working on a change by creating the next artifact.

Store selection: If the user names a store (a store is a standalone OpenSpec repo registered on this machine) or the work lives in one, run openspec store list --json to discover registered store ids, then pass --store <id> on the commands that read or write specs and changes (new change, status, instructions, list, show, validate, archive, doctor, context, schemas, view). Once selected, treat --store <id> as sticky for the rest of the workflow. Every unscoped example of those commands below is shorthand: before running it, append the flag. For example, run openspec status --change "<name>" --json --store "<id>", not the unscoped form shown below. Other commands do not take the flag. Hints printed by commands already carry the flag; keep it on follow-ups. Without a store, commands act on the nearest local openspec/ root.

Project check: These steps expect a project that already uses OpenSpec. Before the first step that writes anything (new change, archive, sync specs, or authoring an artifact file), confirm the project has a root: run openspec list --json (with --store <id> when a store is selected, since the store is then the root) and read root. A root object means the project is set up. "root": null means it is not - there is no openspec/ directory here, and a write such as openspec new change would create one as a side effect. The command also exits non-zero, which is that answer rather than a broken CLI, so read the JSON instead of retrying or working around it.

One "root": null is not about setup: when a status error message starts with Declared in or Invalid store declaration in and names this project's openspec/config.yaml (or config.yml), the project does use OpenSpec through a store it declares, which this machine cannot resolve (the store is not registered, or the store: line is malformed). Do not treat it as uninitialized and skip the branches below: stop before writing and show the user that error's message and fix.

Otherwise, with no root, what happens next depends on how this workflow was reached:

  • Auto-selected: you chose this workflow yourself, without the user naming OpenSpec, naming this skill, or running its slash command. Stop using OpenSpec and answer the request normally, as you would with no OpenSpec installed. Do not ask them to set anything up and do not mention OpenSpec setup.
  • Explicit OpenSpec request: the user named OpenSpec, named this skill, or ran its slash command. Stop before writing and ask how to proceed: set this project up (openspec init), target a store they already have (--store <id>), or continue without OpenSpec for this request. Wait for their answer.

In both branches, never create the root as a side effect: do not run openspec init until the user asks for it, do not hand-create openspec/ files, and do not let a command create it.

Input: Optionally specify a change name. If omitted, check if it can be inferred from conversation context. If vague or ambiguous you MUST prompt for available changes.

Steps

  1. Select the change

    If a name is provided, use it. Otherwise:

    • Infer from conversation context if the user mentioned a change
    • Auto-select if only one active change exists
    • If ambiguous, run openspec list --json to get available changes sorted by most recently modified, and ask the user to select one

    When prompting, present the top 3-4 most recently modified changes as options, showing:

    • Change name
    • Status (e.g., "0/5 tasks", "complete", "no tasks")
    • How recently it was modified (from lastModified field)

    Mark the most recently modified change as "(Recommended)" since it's likely what the user wants to continue.

    Always announce: "Using change: " and how to override (e.g., /openspec-continue-change <other>).

  2. Check current status

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

    Parse the JSON to understand current state. The response includes:

    • schemaName: The workflow schema being used (e.g., "spec-driven")
    • artifacts: Array of artifacts with their status ("done", "skipped", "ready", "blocked")
    • isPlanningComplete: Boolean indicating if all planning artifacts are complete. Older CLI versions expose the same value as isComplete.
    • planningHome, changeRoot, artifactPaths, and actionContext: path and scope context. Use these instead of assuming repo-local paths.
  3. Act based on status:


    If all planning artifacts are complete (isPlanningComplete: true, or legacy isComplete: true):

    • Congratulate the user
    • Show final status including the schema used
    • Suggest: "Planning is complete! You can now implement this change. Once implementation and any tracked work are complete, archive it."
    • STOP

    If artifacts are ready to create (status shows artifacts with status: "ready"):

    • Pick the FIRST artifact with status: "ready" from the status output
    • Get its instructions:
      bash
      openspec instructions <artifact-id> --change "<name>" --json
    • Parse the JSON. The key fields are:
      • 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
      • resolvedOutputPath: Resolved path or pattern to write the artifact
      • dependencies: Completed artifacts to read for context (entries with skipped: true have no files - do not look for them)
      • skipped/warning: present when the change declares skip_specs and this artifact must NOT be created - pick another artifact
    • Create the artifact file:
      • Read any completed dependency files for context - always re-read them from disk, even if you saw them earlier in the conversation (the user may have edited them)
      • If the instruction field delegates creation to a specific skill or command, invoke it to produce the artifact instead of writing the file yourself, then verify the artifact file exists at resolvedOutputPath
      • Otherwise use template as the structure - fill in its sections
      • Apply context and rules as constraints when writing - but do NOT copy them into the file
      • Write to the resolvedOutputPath specified in instructions. If it is a glob pattern, choose the concrete file path using the schema instruction and the change's context
    • Show what was created and what's now unlocked
    • STOP after creating ONE artifact

    If no artifacts are ready (all blocked):

    • This shouldn't happen with a valid schema
    • Show status and suggest checking for issues
  4. After creating an artifact, show progress

    bash
    openspec status --change "<name>"

Output

After each invocation, show:

  • Which artifact was created
  • Schema workflow being used
  • Current progress (N/M complete)
  • What artifacts are now unlocked
  • Prompt: "Want to continue? Just ask me to continue or tell me what to do next."

Artifact Creation Guidelines

The artifact types and their purpose depend on the schema. The instruction field from the instructions output is the authoritative guidance for each artifact - follow it even when the artifact has a familiar name (proposal.md, tasks.md, etc.), since custom schemas may define different content or a different process for the same file names.

If the instruction field directs you to use a specific skill or command to create the artifact, invoke it instead of writing the artifact directly.

Guardrails

  • Create ONE artifact per invocation
  • Always read dependency artifacts before creating a new one - re-read from disk, not from conversation memory (files may have changed since you last saw them)
  • Never skip artifacts or create out of order
  • If context is unclear, ask the user before creating
  • Verify the artifact file exists after writing before marking progress
  • Use the schema's artifact sequence, don't assume specific artifact names
  • 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

Frequently asked questions

What does the Openspec Continue Change AI skill do?

Continue working on an OpenSpec change by creating the next artifact. Use when the user wants to progress their change, create the next artifact, or continue their workflow. Also use when the user says "openspec continue" or "opsx continue".

Why use Openspec Continue Change on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Fission-AI/OpenSpec/tree/main/skills/openspec-continue-change. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Openspec Continue 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 Continue Change?

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

Is the Openspec Continue Change AI skill free?

Yes. It is published on GitHub by Fission-AI 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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