Hs Release logo

Hs Release

OrganizationPopular
vectorize-io
hs-release

Cut a core Hindsight release (vX.Y.Z) and open the changelog + blog PR. Use when asked to cut/start a release, bump the version, or publish a new Hindsight version.

Overview

Publishervectorize-io
Repositoryhindsight
Skill namehs-release
Stars
44K
Forks
5.8K
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 vectorize-io on GitHub. Read the source before you install it.

Installation

Install the Hs 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.
    https://github.com/vectorize-io/hindsight/tree/main/.claude/skills/hs-release
  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/vectorize-io/hindsight.git /tmp/hindsight
mkdir -p .claude/skills
cp -r /tmp/hindsight/.claude/skills/hs-release .claude/skills/hs-release
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hs 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 Hs 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 Hs 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.

Hindsight Release

Cut a core Hindsight release and open the accompanying changelog/blog PR. This is for the core product version (API, clients, CLI, control plane, Helm). Integrations are versioned independently — use scripts/release-integration.sh for those, not this skill.

The release is irreversible and outward-facing: it tags a version and pushes it straight to main, which triggers CI that publishes packages to PyPI / npm / Helm. Confirm the version number and that the intended fixes are already merged to main before you start.

Step 0 — Pre-flight

  1. Decide the base. A release is cut from the latest origin/main, never from a feature branch. git fetch origin --tags first. Confirm the "couple of fixes" the user means are actually merged to main (git log v<prev>..origin/main --oneline).
  2. Find where main is checked out. main is often already checked out in a sibling worktree (git worktree list). You cannot check out main in a second worktree — run the release in the worktree that already holds it. If that worktree is dirty with throwaway cruft (.next-* tsconfig paths, screenshots), git stash push -u, fast-forward to origin/main, run the release, then git stash pop.
  3. Pitfall: never pipe the checkout in an && chain like git checkout main 2>&1 | tail && git reset --hard ... — the pipe's exit status is tail's (always 0), so a failed checkout won't stop the chain and the reset fires on the wrong branch. Check out as its own command and verify git branch --show-current before resetting.

Step 1 — Cut the release

Run from the worktree on a clean main:

bash
./scripts/release.sh <version>     # e.g. 0.8.1  (no leading v)

release.sh bumps the version in every component, regenerates the OpenAPI spec + all client SDKs, updates docs versioning, commits Release v<version>, tags v<version>, and pushes the commit and tag directly to main. The push triggers the Release GitHub Actions workflow that builds and publishes the packages. It is not a PR.

Verify after: gh run list --limit 5 should show the Release v<version> workflow running, and git ls-remote --tags origin v<version> should return the tag.

Step 2 — Changelog + blog PR (separate)

Done after the tag exists, as its own PR (precedent: v0.8.0 = #2053, v0.8.1 = #2080). Work on a branch off the new main:

bash
git checkout -b docs-changelog-<version> origin/main

Only spin up a separate worktree (git worktree add ../hindsight-changelog-<version> -b docs-changelog-<version> origin/main) if you can't get a clean checkout otherwise — e.g. main is held in another worktree and the current one has work you don't want to disturb.

Branch naming: use the docs- (hyphen) convention, e.g. docs-changelog-0.8.1. A remote branch literally named docs exists, so any docs/... branch is rejected on push with directory file conflict.

Changelog

bash
uv run --directory hindsight-dev generate-changelog <version>

LLM-summarizes the commits between the previous tag and v<version> and prepends an entry to hindsight-docs/src/pages/changelog/index.md.

The entry ends with a Database Migrations section listing every Alembic migration added in the range, each linking to the PR that introduced it. That section is enumerated deterministically from git (--diff-filter=A over hindsight_api/alembic/versions/), not by the LLM — don't hand-edit it, and if a migration is missing, check that its commit actually added the file in the tag range. Requires OPENAI_API_KEY (already in the repo .env). It excludes hindsight-integrations/ source, but new integrations whose commits also touched docs will still appear — that matches precedent, leave them in the changelog.

Blog post

Hand-write hindsight-docs/blog/YYYY-MM-DD-version-X-Y-Z.md (mirror an existing one; patch releases are short — see 2026-06-02-version-0-7-2.md). Guidance:

  • Explain user impact, not internals/mechanism. Lead with what the user can now do and what to set. Config/env-var names are fine (developer-facing), code symbols and internals are not.
  • Do not list integrations in the release blog. The core blog covers core engine / API / ops changes; each integration ships its own changelog. (Integrations may still appear in the generated changelog/index.md — that's fine; just keep them out of the blog.)
  • Call out an upgrade recommendation when there are operational/data-integrity fixes.
  • Validate formatting: npx prettier --check <blog file>.

Sync the docs skill

bash
./scripts/generate-docs-skill.sh

Refreshes skills/hindsight-docs/references/changelog/index.md. It will also bump skills/hindsight-docs/references/openapi.json by one version — release.sh regenerates the skill before bumping OpenAPI, so the skill copy lags a version in the release commit; this step syncs it. Expect a one-line version diff there; keep it.

Commit, push, PR

bash
git add -A
git commit --no-verify -m "docs: changelog and blog post for v<version>"
git push -u origin docs-changelog-<version>
gh pr create --base main --title "docs: changelog and blog post for v<version>" --body "..."

Expected files in the PR: the changelog entry, the new blog post, the regenerated skill changelog mirror, and the skill openapi.json version sync.

Cleanup

If you created a temporary worktree, remove it once the PR is up (git worktree remove ../hindsight-changelog-<version>; the branch stays on origin). Restore any stash you popped in Step 0.

Frequently asked questions

What does the Hs Release AI skill do?

Cut a core Hindsight release (vX.Y.Z) and open the changelog + blog PR. Use when asked to cut/start a release, bump the version, or publish a new Hindsight version.

Why use Hs Release on TypingMind?

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

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

Which AI models can use Hs 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 Hs Release?

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

Is the Hs Release AI skill free?

Yes. It is published on GitHub by vectorize-io 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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