Cc Changelog logo

Cc Changelog

Community
oliver-kriska
cc-changelog

CONTRIBUTOR TOOL - Track CC changelog, extract new versions since last check, analyze impact on plugin (breaking changes, opportunities, deprecations). Run periodically or before releases. NOT part of the distributed plugin.

Overview

Publisheroliver-kriska
Repositoryclaude-elixir-phoenix
Skill namecc-changelog
Stars
565
Forks
45
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by oliver-kriska on GitHub. Read the source before you install it.

Installation

Install the Cc 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/oliver-kriska/claude-elixir-phoenix/tree/main/.claude/skills/cc-changelog
  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/oliver-kriska/claude-elixir-phoenix.git /tmp/claude-elixir-phoenix
mkdir -p .claude/skills
cp -r /tmp/claude-elixir-phoenix/.claude/skills/cc-changelog .claude/skills/cc-changelog
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cc 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 Cc 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 Cc 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.

Claude Code Changelog Assistant

Tracks Claude Code releases against the plugin. Fetches the CC changelog, extracts entries newer than last check, and analyzes impact on plugin components (agents, skills, hooks, config).

Usage

text
/cc-changelog                  # Check for new CC versions, analyze impact
/cc-changelog --full           # Re-analyze all versions (ignore last check)
/cc-changelog --set=2.1.85     # Reset last checked version (then re-run)

Execution Flow

Step 1: Fetch & Extract New Entries

bash
bash "${CLAUDE_PROJECT_DIR}/scripts/fetch-cc-changelog.sh"

If output starts with STATUS: UP_TO_DATE → report "No new CC versions" and stop.

If STATUS: NEW_VERSIONS → continue with the changelog content below the header.

For --full: run bash "${CLAUDE_PROJECT_DIR}/scripts/fetch-cc-changelog.sh" --all For --set=X: run bash "${CLAUDE_PROJECT_DIR}/scripts/fetch-cc-changelog.sh" --set=X, then re-run without flag.

Step 2: Analyze Impact

Read the new changelog entries. For EACH entry, classify into one of:

CategoryMeaningAction
BREAKINGMay break existing plugin functionalityImmediate fix required
OPPORTUNITYNew CC feature the plugin could useAdd to backlog/plan
RELEVANT FIXCC fixed a bug we worked aroundCheck if workaround can be removed
DEPRECATIONCC removing something we usePlan migration
INFOGood to know, no action neededLog in memory update

Cross-reference against plugin components using rules in ${CLAUDE_SKILL_DIR}/references/analysis-rules.md.

Step 3: Generate Report

Output a structured report:

markdown
## CC Changelog Analysis: v{last_checked} → v{latest}

### BREAKING (action required)
- [version] description → **Impact**: which plugin file/component
  **Fix**: specific action needed

### OPPORTUNITY (new features)
- [version] description → **Use case**: how plugin could benefit
  **Files**: which plugin files to update

### RELEVANT FIX (workaround removal)
- [version] description → **Current workaround**: what we do now
  **Action**: can we simplify?

### DEPRECATION (migration needed)
- [version] description → **We use this in**: file:line
  **Migration**: what to change

### INFO (no action)
- [version] brief summary (collapsed)

Step 4: Update State

After user reviews the report, ask:

"Update last checked version to {latest}? This also updates the CC internals memory file. [Yes/No]"

If yes:

  1. Run bash "${CLAUDE_PROJECT_DIR}/scripts/fetch-cc-changelog.sh" --set={latest}
  2. Update memory file reference_cc_source_internals.md with new findings
  3. If BREAKING or DEPRECATION items found, offer to create a plan

Iron Laws

  1. ALWAYS fetch before analyzing — never analyze stale cache
  2. NEVER auto-update state — user must confirm after reviewing report
  3. ALWAYS cross-reference plugin files — don't just summarize, map to impact
  4. BREAKING changes are BLOCKERS — surface first, prominently
  5. Track the audit version — state file is the source of truth

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cc Changelog AI skill do?

CONTRIBUTOR TOOL - Track CC changelog, extract new versions since last check, analyze impact on plugin (breaking changes, opportunities, deprecations). Run periodically or before releases. NOT part of the distributed plugin.

Why use Cc Changelog on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/oliver-kriska/claude-elixir-phoenix/tree/main/.claude/skills/cc-changelog. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cc 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 Cc Changelog?

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

Is the Cc Changelog AI skill free?

Yes. It is published on GitHub by oliver-kriska 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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