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release-notes

Structured release notes creation that translates technical changes into user-benefit-oriented communication.

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Release Notes Expert

Overview

Transform raw technical changes -- tickets, changelogs, git logs, PRDs -- into clear, user-benefit-oriented release notes. This skill ensures every release communicates value to the right audience in the right tone.

When to Use

  • Product Releases -- Announcing new versions to customers, partners, or internal stakeholders.
  • Sprint Demos -- Summarizing what shipped for sprint review audiences.
  • Changelog Maintenance -- Keeping a running log of changes across releases.
  • Customer Communication -- Preparing release announcements for email, in-app, or documentation.

Methodology

Step 1: Gather Raw Input

Collect all changes from the release cycle:

  • Jira/Linear tickets -- Completed stories, bugs, and tasks
  • Git log -- Merge commits since last release tag
  • PRD references -- Feature specs that shipped
  • Hotfix records -- Emergency fixes deployed between releases

Step 2: Classify Each Change

Assign every change to exactly one category:

| Category | Definition | Example | |----------|-----------|---------| | New Features | Net-new capabilities that did not exist before | New export-to-PDF option | | Improvements | Enhancements to existing functionality | Faster dashboard loading | | Bug Fixes | Corrections to broken or incorrect behavior | Fixed login redirect loop | | Breaking Changes | Changes that require user action to adapt | API v2 replaces v1 endpoints | | Deprecations | Features scheduled for future removal | Legacy CSV import will be removed in v4.0 |

Classification rules:

  • If a change adds something entirely new, it is a New Feature.
  • If it makes something existing better (faster, easier, more reliable), it is an Improvement.
  • If it fixes something that was wrong, it is a Bug Fix.
  • If users must change their behavior, configuration, or integration, it is a Breaking Change.
  • If a feature still works but will be removed later, it is a Deprecation.

Step 3: Rewrite for User Benefit

The most critical step. Every entry must lead with the benefit to the user, not the technical change.

Rewriting principles:

  1. Lead with the outcome. What can the user do now that they could not before, or what is better for them?
  2. Use plain language. Avoid internal jargon, code references, or implementation details.
  3. Keep it to 1-3 sentences. One sentence for minor items, up to three for significant features.
  4. Include context when needed. If users need to take action, tell them exactly what to do.

Before and after examples:

| Technical (Bad) | User-Benefit (Good) | |----------------|-------------------| | Implemented Redis caching layer for dashboard queries | Dashboards now load up to 3x faster | | Refactored authentication module to use OAuth 2.0 PKCE flow | Sign-in is now more secure and works reliably across all browsers | | Fixed null pointer exception in report export handler | Report exports no longer fail when date ranges include empty days | | Migrated user preferences API from v1 to v2 schema | Action required: Update your API calls to use the new /v2/preferences endpoint by April 30. See migration guide. | | Added feature flag for beta dashboard | You can now opt into the redesigned dashboard from Settings > Beta Features |

Red flags that an entry needs rewriting:

  • Mentions a class name, function, or library
  • Starts with "Refactored," "Migrated," or "Updated" without stating impact
  • Uses acronyms the target audience would not know
  • Describes what the team did instead of what the user gains

Step 4: Adjust Tone for Audience

| Audience | Tone | Style Notes | |----------|------|-------------| | B2B / Enterprise | Professional, precise | Emphasize reliability, security, compliance. Avoid casual language. | | Consumer | Friendly, conversational | Use "you" and "your." Celebrate new features. Keep it light. | | Developer / API | Technical, direct | Include endpoint names, SDK versions, code snippets. Be specific. | | Internal | Detailed, context-rich | Include ticket IDs, team names, technical details as needed. |

Step 5: Assemble the Release Notes

Use the output template below. Include only categories that have entries -- do not show empty sections.

Output Template

# [Product Name] v[X.Y.Z] Release Notes

**Release Date:** [YYYY-MM-DD]

---

## New Features

- **[Feature Name]** -- [1-3 sentence description of user benefit]. ([TICKET-ID])

## Improvements

- **[Improvement Name]** -- [1-2 sentence description of what is better]. ([TICKET-ID])

## Bug Fixes

- **[Bug Fix Name]** -- [1 sentence describing what was broken and that it is now fixed]. ([TICKET-ID])

## Breaking Changes

> **Action Required:** The following changes require updates on your end.

- **[Change Name]** -- [Description of what changed and exactly what the user must do]. ([TICKET-ID])

## Deprecations

> **Planned Removal:** The following features will be removed in a future release.

- **[Feature Name]** -- [What is being deprecated and when it will be removed. Recommend alternative if available]. ([TICKET-ID])

---

**Full changelog:** [link]
**Questions?** [support link or contact]

Python Tool

Use scripts/release_notes_generator.py to generate formatted release notes from structured input.

# Generate from JSON input
python scripts/release_notes_generator.py --input changes.json --product-name "Acme App" --version "2.5.0"

# Run with demo data
python scripts/release_notes_generator.py --demo --product-name "Acme App" --version "1.0.0"

# Output as JSON instead of markdown
python scripts/release_notes_generator.py --input changes.json --format json --product-name "Acme App" --version "2.5.0"

See scripts/release_notes_generator.py --help for full usage.

Integration with Other Skills

  • Use summarize-meeting/ to capture release planning discussions.
  • Use job-stories/ or wwas/ to trace features back to their original motivation.
  • Pair with ../senior-pm/ for stakeholder communication planning around major releases.

Troubleshooting

| Symptom | Likely Cause | Resolution | |---------|-------------|------------| | Tool flags too many entries as "technical language" | TECHNICAL_PATTERNS regex is broad, catching common words like "update" or "add" | Review the flagged entries; the tool provides suggestions, not mandates -- ignore false positives for user-facing descriptions | | All entries classified as same type | Input JSON uses wrong type values or inconsistent casing | Use exact lowercase types: feature, improvement, bugfix, breaking, deprecation | | Empty sections appear in output | No entries of that type exist but template still renders the section | The tool only renders sections with entries; empty sections indicate a data issue in input | | Breaking changes not highlighted prominently | Entries marked as improvement instead of breaking | Review classification rules: if users must change behavior, config, or integration, it is breaking, not improvement | | Release notes sound like commit messages | Descriptions written from developer perspective, not user perspective | Apply the rewriting principles: lead with outcome, use plain language, 1-3 sentences per entry | | --demo flag requires --product-name and --version | These are required arguments regardless of input source | Always provide both: --demo --product-name "App" --version "1.0.0" | | JSON output missing rewriting suggestions | No entries triggered technical language detection patterns | This is expected behavior; suggestions only appear when TECHNICAL_PATTERNS match entry descriptions |

Success Criteria

  • Every release has structured notes published within 24 hours of deployment
  • All entries lead with user benefit, not technical implementation details
  • Breaking changes include explicit migration instructions with deadl
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