App Store Changelog
Overview
Generate a comprehensive, user-facing changelog from git history since the last tag, then translate commits into clear App Store release notes.
When to Use
- When the user asks for App Store "What's New" text or release notes from git history.
- When you need to turn raw commits into concise, user-facing release bullets.
Workflow
1) Collect changes
- Run
scripts/collect_release_changes.shfrom the repo root to gather commits and touched files. - If needed, pass a specific tag or ref:
scripts/collect_release_changes.sh v1.2.3 HEAD. - If no tags exist, the script falls back to full history.
2) Triage for user impact
- Scan commits and files to identify user-visible changes.
- Group changes by theme (New, Improved, Fixed) and deduplicate overlaps.
- Drop internal-only work (build scripts, refactors, dependency bumps, CI).
3) Draft App Store notes
- Write short, benefit-focused bullets for each user-facing change.
- Use clear verbs and plain language; avoid internal jargon.
- Prefer 5 to 10 bullets unless the user requests a different length.
4) Validate
- Ensure every bullet maps back to a real change in the range.
- Check for duplicates and overly technical wording.
- Ask for clarification if any change is ambiguous or possibly internal-only.
Commit-to-Bullet Examples
The following shows how raw commits are translated into App Store bullets:
| Raw commit message | App Store bullet |
|---|---|
fix(auth): resolve token refresh race condition on iOS 17 |
• Fixed a login issue that could leave some users unexpectedly signed out. |
feat(search): add voice input to search bar |
• Search your library hands-free with the new voice input option. |
perf(timeline): lazy-load images to reduce scroll jank |
• Scrolling through your timeline is now smoother and faster. |
Internal-only commits that are dropped (no user impact):
chore: upgrade fastlane to 2.219refactor(network): extract URLSession wrapper into moduleci: add nightly build job
Example Output
What's New in Version 3.4
• Search your library hands-free with the new voice input option.
• Scrolling through your timeline is now smoother and faster.
• Fixed a login issue that could leave some users unexpectedly signed out.
• Added dark-mode support to the settings screen.
• Improved load times when opening large photo albums.
Output Format
- Title (optional): "What's New" or product name + version.
- Bullet list only; one sentence per bullet.
- Stick to storefront limits if the user provides one.
Resources
scripts/collect_release_changes.sh: Collect commits and touched files since last tag.references/release-notes-guidelines.md: Language, filtering, and QA rules for App Store notes.
🧠 AGI Framework Integration
Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills
Qdrant Memory Integration
Before executing complex tasks with this skill:
python3 execution/memory_manager.py auto --query "<task summary>"
- Cache hit? Use cached response directly — no need to re-process.
- Memory match? Inject
context_chunksinto your reasoning. - No match? Proceed normally, then store results:
python3 execution/memory_manager.py store \\
--content "Description of what was decided/solved" \\
--type decision \\
--tags app-store-changelog <relevant-tags>
Agent Team Collaboration
- This skill can be invoked by the
orchestratoragent via intelligent routing. - In Agent Teams mode, results are shared via Qdrant shared memory for cross-agent context.
- In Subagent mode, this skill runs in isolation with its own memory namespace.
Local LLM Support
When available, use local Ollama models for embedding and lightweight inference:
- Embeddings:
nomic-embed-textvia Qdrant memory system - Lightweight analysis: Local models reduce API costs for repetitive patterns