plugins/faos-pm/skills/release-notes/SKILL.md
<!-- AUTO-GENERATED by export-plugins.py — DO NOT EDIT --> --- name: release-notes description: Transform technical changelogs and tickets into user-facing release notes written in benefit language. Use when shipping a release, communicating product updates, or preparing changelog communications. tags: [release-notes, communication, changelog, product-updates] --- # Release Notes Transform technical changelogs, PRs, and tickets into clear, user-facing release notes that communicate **what chan
npx skillsauth add frank-luongt/faos-skills-marketplace plugins/faos-pm/skills/release-notesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Transform technical changelogs, PRs, and tickets into clear, user-facing release notes that communicate what changed and why it matters — in language customers understand.
Technical changelogs are written for developers. Release notes are written for customers. This skill bridges the gap — translating implementation details into benefit-oriented language that helps users understand, adopt, and appreciate product improvements.
Provide any combination of:
Sort every change into one of these categories:
| Category | Icon | Description | | --- | --- | --- | | New Features | New | Entirely new capabilities | | Improvements | Improved | Enhancements to existing features | | Bug Fixes | Fixed | Issues that are now resolved | | Breaking Changes | Breaking | Changes that require user action | | Deprecations | Deprecated | Features being removed in a future release |
Transform each change from technical to user-facing:
Rules:
Examples:
| Technical (Before) | User-Facing (After) | | --- | --- | | Implemented Redis caching for dashboard queries | Dashboards now load up to 3x faster | | Fixed null pointer exception in report export | Report exports no longer fail for accounts with empty custom fields | | Added SAML SSO support (SCIM provisioning) | Enterprise teams can now sign in with their company SSO — no more separate passwords | | Migrated search to Elasticsearch | Search results are now more accurate and return in under 200ms | | Refactored payment processing module | (Omit — internal refactoring with no user-visible change) | | Updated React from v17 to v18 | (Omit — unless there's a user-visible improvement) |
Adjust tone based on audience:
| Audience | Tone | Example | | --- | --- | --- | | B2B Professional | Clear, confident, concise | "Dashboards now load up to 3x faster." | | Consumer / Friendly | Warm, conversational, excited | "Your dashboards just got a speed boost — they load 3x faster now!" | | Developer / API | Technical, precise, actionable | "Dashboard API response times reduced from ~900ms to ~300ms via query caching." |
# Release Notes — [Version or Date]
**Released:** [date]
---
## New Features
### [Feature Name]
[1-3 sentences describing what it does and why it matters to the user]
### [Feature Name]
[description]
---
## Improvements
- **[Area]** — [What improved and the benefit]
- **[Area]** — [What improved and the benefit]
---
## Bug Fixes
- Fixed an issue where [user-visible problem] — [what works now]
- Fixed an issue where [user-visible problem] — [what works now]
---
## Breaking Changes
### [Change Description]
**What changed:** [specific change]
**What you need to do:** [clear migration steps]
**Deadline:** [if applicable]
---
## Deprecations
- **[Feature/API]** will be removed on [date]. [Migration path or alternative].
Include:
Exclude:
Adapt the release notes for each channel:
| Channel | Format | Length | | --- | --- | --- | | In-app notification | 1–3 bullet highlights | Very short | | Email newsletter | Full release notes with context | Medium | | Blog post | Narrative with screenshots | Long | | App store description | Top 3 changes in bullet form | Very short | | Changelog page | Full structured notes | Medium | | Slack/Discord | Emoji-formatted highlights | Short | | API docs | Technical details + migration guides | Technical |
| Avoid | Why | Instead | | --- | --- | --- | | Ticket numbers in notes | Customers don't know what PROJ-1234 means | Describe the change in plain language | | "Various bug fixes" | Dismissive, unhelpful, erodes trust | List specific fixes or say "stability improvements including [example]" | | Technical jargon | "Optimized SQL query" means nothing to users | "Reports now load faster" | | Listing internal refactors | Adds noise, no user value | Only include user-visible changes | | No categorization | Hard to scan, important changes get buried | Use consistent categories | | Stale release notes | Notes published days/weeks after release | Ship notes with the release |
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-mlflow-evaluation --- # MLflow 3 GenAI Evaluation ## Before Writing Any Code 1. **Read GOTCHAS.md** - 15+ common mistakes that cause failures 2. **Read CRITICAL-interfaces.md** - Exact API signatures and data schemas ## End-to-End Workflows Follow these workflows based on your goal. Each step indicates which reference files to read. ### Workflow 1: First-Time Evaluation Setup For users new to MLflow GenAI evalu
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-lakebase-provisioned --- # Lakebase Provisioned Patterns and best practices for using Lakebase Provisioned (Databricks managed PostgreSQL) for OLTP workloads. ## When to Use Use this skill when: - Building applications that need a PostgreSQL database for transactional workloads - Adding persistent state to Databricks Apps - Implementing reverse ETL from Delta Lake to an operational database - Storing chat/agent m
tools
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-jobs --- # Databricks Lakeflow Jobs ## Overview Databricks Jobs orchestrate data workflows with multi-task DAGs, flexible triggers, and comprehensive monitoring. Jobs support diverse task types and can be managed via Python SDK, CLI, or Asset Bundles. ## Reference Files | Use Case | Reference File | | ----------------------
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-genie --- # Databricks Genie Create and query Databricks Genie Spaces - natural language interfaces for SQL-based data exploration. ## Overview Genie Spaces allow users to ask natural language questions about structured data in Unity Catalog. The system translates questions into SQL queries, executes them on a SQL warehouse, and presents results conversationally. ## When to Use This Skill Use this skill when: -