Release logo

Release

OrganizationPopular
BlockRunAI
release

Use this skill for EVERY ClawRouter release. Enforces the full checklist — version sync, CHANGELOG, build, tests, npm publish, git tag, GitHub release. No step can be skipped.

Overview

PublisherBlockRunAI
RepositoryClawRouter
Skill namerelease
Stars
6.6K
Forks
650
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 BlockRunAI on GitHub. Read the source before you install it.

Installation

Install the Release 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.
  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/BlockRunAI/ClawRouter.git /tmp/ClawRouter
mkdir -p .claude/skills
cp -r /tmp/ClawRouter/skills/release .claude/skills/release
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Release 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 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 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.

ClawRouter Release Checklist

This skill is mandatory for every release. Execute every step in order. Do not skip.

Step 1: Confirm the New Version

Read the current version:

bash
cat package.json | grep '"version"'

Ask: "What version are we releasing?" Confirm it follows semver and is higher than current.


Step 2: Update package.json Version

Edit package.json — bump "version" to the new version.


Step 3: Write CHANGELOG Entry

Open CHANGELOG.md. Add a new section at the top (after the header) in this format:

markdown
## v{VERSION} — {DATE}

- **Feature/Fix name** — description
- **Feature/Fix name** — description

Rules:

  • Date format: Mar 8, 2026
  • One bullet per logical change
  • Every bullet must be present — no "see git log"
  • Include all changes since the previous release

Step 4: Confirm No Manual Server Sync Required

No file edit needed here. Earlier releases (pre-v0.12.x) required manually updating a CURRENT_CLAWROUTER_VERSION constant in blockrun's src/app/api/v1/chat/completions/route.ts. That constant has been replaced: the server now fetch-es https://registry.npmjs.org/@blockrun/clawrouter/latest at process startup and uses the returned version to drive the update_available hint embedded in 429 responses to outdated clients.

typescript
// blockrun/src/app/api/v1/chat/completions/route.ts
let latestClawRouterVersion: string | null = process.env.CLAWROUTER_CURRENT_VERSION || null;
fetch("https://registry.npmjs.org/@blockrun/clawrouter/latest", {
  signal: AbortSignal.timeout(5000),
})
  .then((r) => r.json())
  .then((data) => {
    if (data.version) latestClawRouterVersion = data.version;
  })
  .catch(() => {
    /* keep env var fallback */
  });

Implications:

  • The npm publish in Step 11 IS the entire "sync blockrun" action. After that step lands, the next blockrun server restart will fetch and surface the new version. No manual constant edit. No separate PR in the blockrun repo.
  • CLAWROUTER_CURRENT_VERSION env var is the cold-start fallback (used only when the registry fetch fails). It exists for resilience, not as the primary mechanism — don't touch it on every release.
  • Verification of the user-facing update nudge happens in Step 12 via npm view @blockrun/clawrouter version (the same registry endpoint blockrun's server hits).

Skip to Step 5.


Step 5: Build

bash
npm run build

Fix any TypeScript or build errors before proceeding.


Step 6: Run Tests

bash
npm test
npm run typecheck
npm run lint

All must pass. Fix failures before proceeding.


Step 7: Commit Everything

Stage and commit:

bash
git add package.json CHANGELOG.md
git commit -m "chore: bump version to {VERSION}"

No companion commit in the blockrun repo is needed — the server picks up new versions automatically via the npm registry fetch documented in Step 4.


Step 8: Push to GitHub

bash
git push origin main

Step 9: Create Git Tag

bash
git tag v{VERSION}
git push origin v{VERSION}

Step 10: Create GitHub Release

bash
gh release create v{VERSION} \
  --title "v{VERSION}" \
  --notes "$(sed -n '/^## v{VERSION}/,/^## v[0-9]/p' CHANGELOG.md | head -n -1)"

Verify the release on GitHub: https://github.com/BlockRunAI/ClawRouter/releases

The release notes must match the CHANGELOG entry exactly.


Step 11: Publish to npm

bash
npm publish --access public

Verify: https://npmjs.com/package/@blockrun/clawrouter

Expected output: + @blockrun/clawrouter@{VERSION}


Step 12: Final Verification

Run this checklist to confirm everything is in sync:

bash
# 1. package.json version
node -p 'require("./package.json").version'

# 2. CHANGELOG has the entry
head -10 CHANGELOG.md

# 3. npm package is live (this is also what blockrun's server fetches —
#    matching version here means the user-facing update nudge will fire correctly)
npm view @blockrun/clawrouter version

# 4. GitHub tag exists
git tag --list 'v{VERSION}'

# 5. GitHub release exists
gh release view v{VERSION}

All 5 must match the new version. If any mismatch, fix before declaring the release done.


Common Mistakes (Never Repeat These)

MistakePrevention
Hand-editing CURRENT_CLAWROUTER_VERSION (no longer exists)Step 4 — server now auto-fetches
CHANGELOG entry missing or incompleteStep 3 — write it before building
npm publish before tests passSteps 5-6 must precede Step 11
GitHub release notes emptyStep 10 — extract from CHANGELOG
Git tag not pushedStep 9 — push tag separately
docs not reflecting new featuresUpdate docs in same PR as the feature

Frequently asked questions

What does the Release AI skill do?

Use this skill for EVERY ClawRouter release. Enforces the full checklist — version sync, CHANGELOG, build, tests, npm publish, git tag, GitHub release. No step can be skipped.

Why use Release on TypingMind?

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

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

Which AI models can use Release?

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?

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

Is the Release AI skill free?

Yes. It is published on GitHub by BlockRunAI 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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