dotfiles/dot_config/skillshare/skills/release-notes/SKILL.md
Generate user-facing release notes from tickets, PRDs, or changelogs. Creates clear, engaging summaries organized by category (new features, improvements, fixes). Use when writing release notes, creating changelogs, announcing product updates, or summarizing what shipped.
npx skillsauth add pkking/dotfiles release-notesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Transform technical tickets, PRDs, or internal changelogs into polished, user-facing release notes.
You are writing release notes for $ARGUMENTS.
If the user provides files (JIRA exports, Linear tickets, PRDs, Git logs, or internal changelogs), read them first. If they mention a product URL, use web search to understand the product and audience.
Gather raw material: Read all provided tickets, changelogs, or descriptions. Extract:
Categorize changes:
Write each entry following these principles:
Example transformations:
Technical: "Implemented Redis caching layer for dashboard API endpoints"
User-facing: "Dashboards now load up to 3× faster, so you spend less time waiting and more time analyzing."
Technical: "Fixed race condition in concurrent checkout flow"
User-facing: "Fixed an issue where some orders could fail during high-traffic periods."
Structure the release notes:
# [Product Name] — [Version / Date]
## New Features
- **[Feature name]**: [1-2 sentence description of what it does and why it matters]
## Improvements
- **[Area]**: [What got better and how it helps]
## Bug Fixes
- Fixed [issue description in user terms]
## Breaking Changes (if any)
- **Action required**: [What users need to do]
Adjust tone to match the product's voice — professional for B2B, friendly for consumer, developer-focused for APIs.
Save as a markdown document. If the user wants HTML or another format, convert accordingly.
testing
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
data-ai
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
development
Run the full autonomous engineering pipeline end-to-end (plan, work, code review, test, commit, push, open PR, watch CI, fix CI failures until green). Use only when the user explicitly requests hands-off execution of a software task and provides a feature description; do not auto-route casual conversation here.
development
Create an isolated git worktree for parallel feature work or PR review. Use when starting work that should not disturb the current checkout, or when `ce-work` or `ce-code-review` offers a worktree option.