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Gdd Check Update

Community
hegemonart
gdd-check-update

Manual plugin-update check. Shows cached state by default; --refresh bypasses the 24h TTL; --dismiss hides the nudge until a newer release ships; --prompt spawns design-update-checker for a richer summary.

Overview

Publisherhegemonart
Repositoryget-design-done
Skill namegdd-check-update
Stars
3
Forks
1
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 hegemonart on GitHub. Read the source before you install it.

Installation

Install the Gdd Check Update 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/hegemonart/get-design-done/tree/main/scripts/skill-templates/check-update
  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/hegemonart/get-design-done.git /tmp/get-design-done
mkdir -p .claude/skills
cp -r /tmp/get-design-done/scripts/skill-templates/check-update .claude/skills/gdd-check-update
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gdd Check Update 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 Gdd Check Update 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 Gdd Check Update 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.

{{command_prefix}}check-update

Role: Manual entry point for the plugin-update checker. The SessionStart hook (hooks/update-check.sh) already runs on its own 24h cadence and writes .design/update-cache.json + .design/update-available.md. This command lets the user inspect / force / dismiss / enrich that state on demand. See ./reference/heuristics.md §"Version-cadence" for the off-cadence / preview-suffix handling background.

Flags

FlagEffect
(none)Print cached state. If cache is older than 24h, trigger --refresh implicitly.
--refreshInvoke hooks/update-check.sh --refresh - bypasses the 24h TTL and re-fetches immediately.
--dismissWrite update_dismissed: "<latest_tag>" to .design/config.json atomically and delete .design/update-available.md. Sticky until a newer release ships.
--promptSpawn design-update-checker agent (Haiku) to produce a 3–5-line "what this release changes for you" summary. Does not alter the banner or cache.

Flags combine: --refresh --prompt is valid (re-fetch, then enrich). --dismiss is the only flag that mutates .design/config.json.

Steps

  1. Parse flags. Detect --refresh, --dismiss, --prompt in $ARGUMENTS. Unknown flag → Unknown flag: <flag> and exit.

  2. --refresh path (if set):

    bash
    bash "${CLAUDE_PLUGIN_ROOT:-$(pwd)}/hooks/update-check.sh" --refresh

    This re-fetches /releases/latest, rewrites .design/update-cache.json, and re-renders .design/update-available.md subject to state/dismissal gates.

  3. Read cache. After any optional refresh, read .design/update-cache.json. If missing: print No cache. Network may be unreachable or the hook has not run yet. Try {{command_prefix}}check-update --refresh. and exit.

  4. --dismiss path (if set): Compute new config contents and write atomically via the env-prefix Python heredoc pattern below. The pattern is essential - passing variables as trailing KEY=VALUE argv treats them as sys.argv, not os.environ. Use env-prefix form only.

    bash
    CONFIG_PATH=".design/config.json"
    LATEST_TAG="$(grep -E '"latest_tag"' .design/update-cache.json | head -n1 | sed -E 's/.*"latest_tag"[[:space:]]*:[[:space:]]*"([^"]+)".*/\1/')"
    [ -n "$LATEST_TAG" ] || { echo 'No latest_tag in cache — nothing to dismiss.'; exit 0; }
    mkdir -p .design
    CONFIG_PATH="$CONFIG_PATH" LATEST_TAG="$LATEST_TAG" python3 <<'PY'
    import json, os, sys, tempfile
    config_path = os.environ['CONFIG_PATH']
    latest_tag = os.environ['LATEST_TAG']
    try:
        with open(config_path, 'r', encoding='utf-8') as f:
            data = json.load(f)
        if not isinstance(data, dict): data = {}
    except (FileNotFoundError, json.JSONDecodeError): data = {}
    data['update_dismissed'] = latest_tag
    target_dir = os.path.dirname(config_path) or '.'
    fd, tmp_path = tempfile.mkstemp(prefix='config.', suffix='.tmp', dir=target_dir)
    try:
        with os.fdopen(fd, 'w', encoding='utf-8') as f:
            json.dump(data, f, indent=2); f.write('\n')
        os.replace(tmp_path, config_path)
    except Exception:
        try: os.unlink(tmp_path)
        except OSError: pass
        sys.exit(1)
    PY
    rm -f .design/update-available.md
    echo "Dismissed $LATEST_TAG. The nudge will return when a newer release ships."

    D-14 atomic-write invariant: os.replace() (POSIX rename(2)) is atomic on the same filesystem. The json.load → set single key → json.dump round-trip preserves every unknown top-level key (e.g. model_profile, parallelism) verbatim.

  5. Print default state (always, unless exited early):

    ━━━ {{command_prefix}}check-update ━━━
    Current:   v<X.Y.Z>
    Latest:    v<A.B.C>   (delta: <major|minor|patch|off-cadence|none>)
    Newer:     <true|false>
    Checked:   <ISO time of checked_at>
    Dismissed: <tag or "no">
    ━━━━━━━━━━━━━━━━━━━━━━━━━━

    Parse fields from .design/update-cache.json via grep + sed (no jq dep). Read dismissal from .design/config.json via the same pattern as hooks/update-check.sh.

  6. --prompt path (if set): Spawn design-update-checker via Task tool with context {current_tag, latest_tag, delta, release_body}. Display response verbatim below the banner. Agent ends with ## UPDATE-CHECKER COMPLETE.

Do Not

  • Do not fetch from GitHub directly - always go through hooks/update-check.sh --refresh so caching + state-guard + dismissal logic stays in one place.
  • Do not modify .design/update-available.md except to delete on --dismiss.
  • Do not rewrite .design/config.json wholesale - the atomic Python rewrite preserves every unknown key (D-14).
  • Do not pass variables to the Python heredoc via trailing KEY=VALUE argv - env-prefix form only.

Completion marker

## CHECK-UPDATE COMPLETE

Frequently asked questions

What does the Gdd Check Update AI skill do?

Manual plugin-update check. Shows cached state by default; --refresh bypasses the 24h TTL; --dismiss hides the nudge until a newer release ships; --prompt spawns design-update-checker for a richer summary.

Why use Gdd Check Update on TypingMind?

Because you install it once and use it with any model. Gdd Check Update 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 Gdd Check Update in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hegemonart/get-design-done/tree/main/scripts/skill-templates/check-update. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gdd Check Update?

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 Gdd Check Update?

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

Is the Gdd Check Update AI skill free?

Yes. It is published on GitHub by hegemonart 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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