Openspec Update Change logo

Openspec Update Change

OrganizationPopular
Fission-AI
openspec-update-change

Update an OpenSpec change by revising its existing planning artifacts and keeping them coherent with one another. Use when the user wants to revise a change's plan, fold new decisions into it, or reconcile its artifacts after an edit. Also use when the user says "openspec update change" or "opsx update". If the user means the openspec update CLI command, which refreshes generated files, run that command instead. Never edits code.

Overview

PublisherFission-AI
RepositoryOpenSpec
Skill nameopenspec-update-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 Update 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-update-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-update-change .claude/skills/openspec-update-change
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openspec Update 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 Update 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 Update 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.

Revise a change's existing planning artifacts and keep them coherent. Never edit code.

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.

This workflow revises artifacts that already exist; /openspec-continue-change is what creates the ones that do not.

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 update.

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

  2. Get the change's artifacts

    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.

    The artifact ids and paths come from the active schema - do NOT assume them, and do NOT branch on hardcoded artifact names. Custom schemas must work unchanged.

    The files to edit are artifactPaths.<id>.existingOutputPaths - the concrete files that exist on disk, already glob-expanded for glob artifacts (e.g. specs/**/*.md). Do NOT write to resolvedOutputPath: for a glob artifact it is still the glob pattern, not a real file.

  3. Understand the request

    • If the user asked for a specific revision ("the design now uses X"), that is the starting edit.
    • If they only said "update" / "make this coherent", treat it as a coherence review: read the existing artifacts and check them against each other for contradictions, gaps, and duplication.
  4. Read and reconcile

    • Read the artifact(s) the request touches and the change's other existing artifacts.
    • Draft the requested edit in the conversation, not in files. Work out exactly what it changes; step 5 owns every write. Then check every other existing artifact against the drafted edit - in ANY direction: an edit to a later artifact may require revising an earlier one, not only the other way around. Build order is a useful reading order, not a constraint on which artifacts may be revised.
    • Note everything that is now inconsistent, missing, or contradictory.
    • Propose revisions to files that already exist (existingOutputPaths). If an artifact has no existing output files and status ready or blocked, note it and point the user to /openspec-continue-change to create them. Leave skipped artifacts untouched; do not treat them as missing or defer them to the continue workflow.
    • A glob artifact (e.g. specs/**/*.md) is marked done after at least one file matches, and the continue workflow only handles ready artifacts. When reconciliation identifies a missing file for a glob artifact whose existingOutputPaths is non-empty:
      1. Run openspec instructions "<artifact-id>" --change "<name>" --json and use its instruction and template. Treat context and rules as constraints; do not copy them into the file. If instructions report skipped: true, do not create the file. Read current dependency files from disk; if a required non-skipped dependency is missing, stop and ask the user to restore it first.
      2. Choose a concrete path inside changeRoot that matches artifactPaths.<id>.outputPath and does not already exist. Verify it remains inside changeRoot after resolving any symlinked parent directories. The glob resolvedOutputPath is not a valid target.
      3. Include the new file in step 5's proposed revisions and create it only after the user confirms.
      4. After confirmation, immediately before creation, refresh status and instructions. Verify the artifact is still in scope, not skipped, and partially populated; repeat the concrete-path checks above.
      5. Use a create operation that fails if the target already exists. If instruction delegates creation to another skill or command, invoke it only if it can honor the confirmed path and these guardrails; otherwise stop. If any check fails or the confirmed draft is no longer valid, stop and reconcile with the user rather than replacing existing content or choosing a different path.
    • If the change is already coherent, say so and propose no revisions.
  5. Confirm and apply, one artifact at a time

    • This step performs every artifact write in this workflow; no earlier step edits an artifact.
    • Show each proposed revision and why - including the requested edit drafted in step 4. Write only after the user confirms.
    • If the user rejects a revision, do not write it - leave that artifact unchanged.
    • When a substantial rewrite is needed, get that artifact's rules and template first:
      bash
      openspec instructions "<artifact-id>" --change "<name>" --json
  6. Point to the next step (guidance only - NEVER act on it)

    • Artifacts with empty existingOutputPaths and status ready or blocked -> suggest /openspec-continue-change to create them.
    • Change already implemented (tasks checked off / already applied) -> the code may no longer match the revised plan; suggest /openspec-apply-change to carry the delta into code.
    • Everything done and implemented -> suggest /openspec-archive-change.

Output

After each invocation, show:

  • Which artifacts were revised (and which proposed revisions were rejected)
  • Any file created under a glob artifact that was already partially populated
  • Anything deferred to /openspec-continue-change (artifacts with no files yet and status ready or blocked, never skipped artifacts)
  • Where the change stands and the recommended next command

Guardrails

  • Planning artifacts only - NEVER edit implementation code. If the revised plan implies code changes, stop and point to /openspec-apply-change.
  • Use the artifact ids and paths reported by openspec status; never branch on hardcoded artifact names.
  • Edit only the concrete files in existingOutputPaths; never write to a glob resolvedOutputPath.
  • Do not advance the build frontier: if an artifact has empty existingOutputPaths and status ready or blocked, that is /openspec-continue-change's job. Leave skipped artifacts untouched. The only new-file scope is a confirmed concrete path under a glob artifact whose existingOutputPaths is non-empty.
  • Confirm every edit with the user before writing.
  • If the request changes the change's intent rather than refining it, recommend starting fresh with /openspec-new-change (the "Update vs. Start Fresh" heuristic).

Frequently asked questions

What does the Openspec Update Change AI skill do?

Update an OpenSpec change by revising its existing planning artifacts and keeping them coherent with one another. Use when the user wants to revise a change's plan, fold new decisions into it, or reconcile its artifacts after an edit. Also use when the user says "openspec update change" or "opsx update". If the user means the openspec update CLI command, which refreshes generated files, run that command instead. Never edits code.

Why use Openspec Update Change on TypingMind?

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

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

Which AI models can use Openspec Update 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 Update Change?

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

Is the Openspec Update 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇