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Pmstudio Changelog

Community
coco-research
pmstudio-changelog

Create or update a structured change log for a product or platform. Use when someone asks to "create a change log", "log this change", "what changed", "update the change log", "release notes", or "changelog". Reads project memory (CLAUDE.local.md Recent Changes) and meeting notes to build chronological change records. Supports init (backfill from memory), update (append new entries), and release (summarize for a version).

Overview

Publishercoco-research
Repositorycoco
Skill namepmstudio-changelog
Stars
550
Forks
12
Bundled files
Instructions only
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 coco-research on GitHub. Read the source before you install it.

Installation

Install the Pmstudio Changelog 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/coco-research/coco/tree/main/skills/change-log
  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/coco-research/coco.git /tmp/coco
mkdir -p .claude/skills
cp -r /tmp/coco/skills/change-log .claude/skills/pmstudio-changelog
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pmstudio Changelog 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 Pmstudio Changelog 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 Pmstudio Changelog 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.

Change Log — Running Product Change Record

Purpose

Maintains a chronological, append-only record of all meaningful changes to a product. Unlike CLAUDE.local.md (which is AI context), the change log is a stakeholder-facing document suitable for sharing with leadership, auditors, and team members.

Process

Step 1: Determine Mode

  • /change-log init — Create new change log, backfill from CLAUDE.local.md
  • /change-log update — Find changes since last entry, propose new entries
  • /change-log release {version} — Create release summary from accumulated entries
  • /change-log (no args) — Same as update

Step 2: Read Context

Always read:

  • CLAUDE.local.md — Recent Changes section (primary source of truth for what changed)
  • Existing change log file (if update or release mode)

For init mode, also read:

  • Meeting-Notes/ directory listing — to identify decision-bearing meetings
  • PRD/ — version history sections
  • .sync-watch.json — project name

For update mode:

  • Find the date of the last change log entry
  • Read any Meeting-Notes/ files dated after that
  • Read CLAUDE.local.md Recent Changes entries dated after that

Step 3: Extract Changes

For each source, extract structured change data:

- Date: YYYY-MM-DD
- Summary: one-line description
- Type: Feature | Enhancement | Bug Fix | Configuration | Process | Security | Documentation
- Impact: High | Medium | Low
- Components: which modules/layers/documents were affected
- Author: who made or requested the change
- Approved By: who approved (if known from meeting notes)
- Details: bullet list of specific changes
- Rationale: why the change was made
- Downstream: what else was updated as a result

Impact classification:

  • High — Changes product behavior, affects users, or modifies architecture
  • Medium — Updates documentation, adds stakeholders, changes processes
  • Low — Minor fixes, formatting, internal-only changes

Step 4: Propose Entries (update/init)

Present proposed entries to user before writing:

markdown
## Proposed Change Log Entries

### [2026-03-17] PRD v0.9 — User Journey Sections
**Type:** Enhancement | **Impact:** High
**Components:** ProductB PRD, ProductB PRD Presentation
- Added Current User Journey (6-step timeline)
- Added Future User Journey (3-layer cascading)
- Renumbered all sections (19 total)

Accept? [Y/n] or modify?

Step 5: Write

File location: Data/Change-Log-{ProjectName}.md

File structure:

markdown
# Change Log — {Product Name}

> Running record of all changes. Newest entries first.
> Generated and maintained via `/change-log` skill.

Last updated: {date}
Total entries: {count}

---

## [YYYY-MM-DD] v{X.Y} — {Summary}

**Type:** {type} | **Impact:** {impact}
**Components:** {affected components}
**Author:** {name} | **Approved By:** {name or "—"}

### Changes
- {specific change 1}
- {specific change 2}

### Rationale
- {why this change was made}

### Downstream Effects
- {what else was updated}

---

## [YYYY-MM-DD] ...

For release mode:

Collect all entries since the last release entry (or all entries if first release). Produce a summary:

markdown
## Release: v{version} — {date}

### Summary
{2-3 sentence overview of what this release includes}

### Changes Included
| Date | Type | Summary | Impact |
|------|------|---------|--------|
| ... | ... | ... | ... |

### Highlights
- {Most important change}
- {Second most important}

### Known Issues
- {Any caveats}

Critical Rules

  1. Append-only. Never modify existing entries. Only add new ones at the top.
  2. Propose before writing. Always show the user what entries will be added.
  3. Don't duplicate. Check existing entries before proposing. If a change is already logged, skip it.
  4. Real content only. Don't log trivial changes (typo fixes, formatting) unless the user specifically asks.
  5. Dates from sources. Use the date from CLAUDE.local.md or meeting notes, not today's date, for the change date. Today's date is for entries about changes made today.

Frequently asked questions

What does the Pmstudio Changelog AI skill do?

Create or update a structured change log for a product or platform. Use when someone asks to "create a change log", "log this change", "what changed", "update the change log", "release notes", or "changelog". Reads project memory (CLAUDE.local.md Recent Changes) and meeting notes to build chronological change records. Supports init (backfill from memory), update (append new entries), and release (summarize for a version).

Why use Pmstudio Changelog on TypingMind?

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

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

Which AI models can use Pmstudio Changelog?

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 Pmstudio Changelog?

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

Is the Pmstudio Changelog AI skill free?

It is published on GitHub by coco-research. Check the repository for licensing terms. 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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