Openspec Update Change logo

Openspec Update Change

OrganizationPopular
MemeMeow-Studio
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. Never edits code.

Overview

PublisherMemeMeow-Studio
RepositoryMemeMeow
Skill nameopenspec-update-change
Stars
1.3K
Forks
37
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 MemeMeow-Studio 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/MemeMeow-Studio/MemeMeow/tree/main/.agents/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/MemeMeow-Studio/MemeMeow.git /tmp/MemeMeow
mkdir -p .claude/skills
cp -r /tmp/MemeMeow/.agents/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, 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.

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.

$openspec-continue-change (Codex) or /openspec-continue-change (other agents) is an expanded-profile workflow and may not be installed. Before suggesting it anywhere below, verify that it is available. If it is unavailable, openspec status --change "<name>" --json shows the next artifact and openspec instructions "<artifact-id>" --change "<name>" --json explains how to create it.

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
    • Schema (from schema field if present, otherwise "spec-driven")
    • 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 (Codex) or /openspec-update-change (other agents) <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.
    • Apply the requested edit. Then check every other existing artifact against it - 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.
    • Revise only files that already exist (existingOutputPaths). Do NOT create artifacts that don't exist yet, and do NOT invent new files under a glob artifact - note them and point the user to $openspec-continue-change (Codex) or /openspec-continue-change (other agents) to create them.
    • If the change is already coherent, say so and make no edits.
  5. Confirm and apply, one artifact at a time

    • Show each proposed revision and why. 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 still missing -> suggest $openspec-continue-change (Codex) or /openspec-continue-change (other agents) to create them.
    • Change already implemented (tasks checked off / already applied) -> the code may no longer match the revised plan; suggest $openspec-apply-change (Codex) or /openspec-apply-change (other agents) to carry the delta into code.
    • Everything done and implemented -> suggest $openspec-archive-change (Codex) or /openspec-archive-change (other agents).

Output

After each invocation, show:

  • Which artifacts were revised (and which proposed revisions were rejected)
  • Anything deferred to $openspec-continue-change (Codex) or /openspec-continue-change (other agents) (not-yet-created artifacts or files)
  • 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 (Codex) or /openspec-apply-change (other agents).
  • 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: no new artifacts, no new files under glob artifacts - that is $openspec-continue-change (Codex) or /openspec-continue-change (other agents)'s job.
  • Confirm every edit with the user before writing.
  • If the request changes the change's intent rather than refining it, first verify whether the expanded-profile $openspec-new-change (Codex) or /openspec-new-change (other agents) workflow is available. If it is, recommend starting fresh with $openspec-new-change (Codex) or /openspec-new-change (other agents) (the "Update vs. Start Fresh" heuristic). If it is unavailable, ask for a distinct unused change name and recommend openspec new change "<new-change-name>" instead.

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. 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/MemeMeow-Studio/MemeMeow/tree/main/.agents/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 MemeMeow-Studio 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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