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Release Sync

Community
yonatangross
release-sync

Syncs latest release content to NotebookLM and HQ Knowledge Base after version tagging. Reads CHANGELOG, CLAUDE.md, and hook README, updates notebook sources, and ingests release digest. Optionally generates podcast from updated knowledge base. Use after tagging a new version to propagate release knowledge.

Overview

Publisheryonatangross
Repositoryorchestkit
Skill namerelease-sync
Stars
298
Forks
35
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 yonatangross on GitHub. Read the source before you install it.

Installation

Install the Release Sync 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/yonatangross/orchestkit/tree/main/plugins/ork/skills/release-sync
  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/yonatangross/orchestkit.git /tmp/orchestkit
mkdir -p .claude/skills
cp -r /tmp/orchestkit/plugins/ork/skills/release-sync .claude/skills/release-sync
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Release Sync 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 Release Sync 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 Release Sync 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.

Release Content Sync

Sync the latest OrchestKit release to external knowledge systems.

CC ≥ 2.1.118 (M122): Sync triggers on the new claude plugin tag annotated tag (in addition to plain git tag). The tag's annotation embeds the plugin manifest version, which release-sync uses as the canonical source-of-truth for the version being synced. See src/skills/chain-patterns/references/plugin-tag.md.

What This Does

  1. Reads the latest CHANGELOG entry, CLAUDE.md, and hook README
  2. Updates the OrchestKit NotebookLM KB notebook with fresh sources
  3. Ingests the release digest into HQ Knowledge Base (if available)
  4. Optionally generates a new podcast from the updated notebook

Prerequisites

  • MCP servers: notebooklm-mcp and/or hq-content
  • NotebookLM notebook ID stored in .claude/release-sync-config.json

Step 1: Detect Version and Read Sources

python
# Read current version from CLAUDE.md
version = Grep(pattern="Current.*\\d+\\.\\d+\\.\\d+", path="CLAUDE.md")

# Read CHANGELOG — extract latest release section
changelog = Read("CHANGELOG.md", limit=80)

# Read hook architecture summary
hook_readme = Read("src/hooks/README.md", limit=100)

# Read CLAUDE.md for project overview
claude_md = Read("CLAUDE.md")

Step 2: Load Config

python
config = Read(".claude/release-sync-config.json")
# Expected format:
# {
#   "notebooklm_notebook_id": "0a05e680-e33b-4d8c-94b2-5df26a1af329",
#   "hq_kb_project": "orchestkit"
# }

If config doesn't exist, prompt user:

python
AskUserQuestion(questions=[{
  "question": "NotebookLM notebook ID for OrchestKit KB?",
  "header": "Configuration",
  "options": [
    {"label": "Use default", "description": "OrchestKit v7 — Complete KB (0a05e680...)"},
    {"label": "I'll provide", "description": "Enter a custom notebook ID"}
  ]
}])

Step 2b: Choose Sync Targets

Ask for the four target values: notebooklm, hq_kb, slack, notes.

python
# Skip the form when targets are explicit:
#   release-sync --targets=notebooklm,slack  → skip, use those
#
# Otherwise ask. This used to prefer an ork-elicit MCP form and fall back to
# AskUserQuestion; the server was retired (EPIC C mechanism 11) because
# AskUserQuestion is the CC-native surface for this and a permanent MCP tool
# slot to restate it was the parallel mechanism. One path now.
#
# ALL targets default to False — OrchestKit is open-source and these targets
# (notebook IDs, HQ KB, Slack) are user-private infrastructure the plugin
# cannot assume is configured. The user explicitly opts in.
targets = {
  "notebooklm": ask_yn("Push to NotebookLM?", default=False),
  "hq_kb":      ask_yn("Push to HQ KB?",       default=False),
  "slack":      ask_yn("Announce in Slack?",   default=False),
  "notes":      ""
}

Three AskUserQuestion round-trips. The rest of this skill reads targets["notebooklm"], targets["hq_kb"], targets["slack"], targets["notes"] regardless of source.

Privacy note: all targets are opt-in (default false). NotebookLM notebook IDs and HQ knowledge bases are user-private — the open-source plugin must not assume they exist or push to them implicitly.

Step 3: Update NotebookLM Sources

python
# Probe MCP availability
ToolSearch(query="select:mcp__notebooklm-mcp__source_add")

# Add release digest as new source
mcp__notebooklm-mcp__source_add(
  notebook_id=config.notebooklm_notebook_id,
  source_type="text",
  title=f"Release {version} — {date}",
  text=release_digest,
  wait=True
)

Step 4: Ingest to HQ Knowledge Base (Optional)

python
# Probe HQ content MCP
ToolSearch(query="select:mcp__hq-content__knowledge_ingest")

# If available, ingest
mcp__hq-content__knowledge_ingest(
  title=f"OrchestKit {version} Release Notes",
  content=release_digest,
  project="orchestkit",
  content_type="release-notes"
)

Step 5: Generate Podcast (Optional)

python
AskUserQuestion(questions=[{
  "question": "Generate a podcast from the updated notebook?",
  "header": "Podcast",
  "options": [
    {"label": "Yes — deep dive", "description": "~10 min podcast covering all changes"},
    {"label": "Yes — brief", "description": "~3 min summary"},
    {"label": "No", "description": "Skip podcast generation"}
  ]
}])

if podcast_requested:
  mcp__notebooklm-mcp__studio_create(
    notebook_id=config.notebooklm_notebook_id,
    artifact_type="audio",
    audio_format=selected_format,
    confirm=True
  )

Output

Report what was synced:

Release Sync Complete — v{version}
  NotebookLM: source added to {notebook_title}
  HQ KB: ingested as release-notes/{version}
  Podcast: generating (poll with studio_status)

Frequently asked questions

What does the Release Sync AI skill do?

Syncs latest release content to NotebookLM and HQ Knowledge Base after version tagging. Reads CHANGELOG, CLAUDE.md, and hook README, updates notebook sources, and ingests release digest. Optionally generates podcast from updated knowledge base. Use after tagging a new version to propagate release knowledge.

Why use Release Sync on TypingMind?

Because you install it once and use it with any model. Release Sync 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 Release Sync in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/release-sync. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Release Sync?

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 Release Sync?

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

Is the Release Sync AI skill free?

Yes. It is published on GitHub by yonatangross 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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