
Generate CHANGELOG.md entry from recent commits in conventional format. Also syncs the website changelog page. Use this skill whenever the user asks to: generate a changelog, document what changed between tags, or create a new CHANGELOG entry. If you see requests like "write the changelog for v0.17", "what changed since last release", this is the skill to use. Do NOT manually edit CHANGELOG.md without this skill — it ensures proper formatting, user-perspective writing, and website changelog sync. For full release workflows (tests, changelog, release notes, version bump, announcements), use /release instead.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
Run agent-browser on AWS Bedrock AgentCore cloud browsers. Use when the user wants to use AgentCore, run browser automation on AWS, use a cloud browser with AWS credentials, or needs a managed browser session backed by AWS infrastructure. Triggers include "use agentcore", "run on AWS", "cloud browser with AWS", "bedrock browser", "agentcore session", or any task requiring AWS-hosted browser automation.
Automate Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify, etc.) using agent-browser via Chrome DevTools Protocol. Use when the user needs to interact with an Electron app, automate a desktop app, connect to a running app, control a native app, or test an Electron application. Triggers include "automate Slack app", "control VS Code", "interact with Discord app", "test this Electron app", "connect to desktop app", or any task requiring automation of a native Electron application.
Systematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to "dogfood", "QA", "exploratory test", "find issues", "bug hunt", "test this app/site/platform", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.
Run agent-browser + Chrome inside Vercel Sandbox microVMs for browser automation from any Vercel-deployed app. Use when the user needs browser automation in a Vercel app (Next.js, SvelteKit, Nuxt, Remix, Astro, etc.), wants to run headless Chrome without binary size limits, needs persistent browser sessions across commands, or wants ephemeral isolated browser environments. Triggers include "Vercel Sandbox browser", "microVM Chrome", "agent-browser in sandbox", "browser automation on Vercel", or any task requiring Chrome in a Vercel Sandbox.
Interact with Slack workspaces using browser automation. Use when the user needs to check unread channels, navigate Slack, send messages, extract data, find information, search conversations, or automate any Slack task. Triggers include "check my Slack", "what channels have unreads", "send a message to", "search Slack for", "extract from Slack", "find who said", or any task requiring programmatic Slack interaction.
Archive a completed, rejected, or covered feature into .feature-radar/archive/ with mandatory learning extraction. MUST use this skill whenever a feature reaches a terminal state — done, rejected, covered, deferred, or N/A. Even casual mentions like "we shipped X" or "X is done" should trigger this. The skill extracts learnings, derives new opportunities, and updates refs. Use when the user: - Says "we shipped X", "X is done", "X is complete", "we just finished X" - Rejects a feature: "we decided not to build X", "reject this", "doesn't fit" - Defers: "defer X", "postpone this", "revisit later", "not now" - Closes an opportunity: "close this opportunity", "mark as done", "archive this" - Mentions any feature reaching Done/Covered/Rejected/Deferred status Do NOT use for discovering new features — that's feature-radar-scan's job.
Discover new feature opportunities from creative brainstorming, user feedback, ecosystem trends, and cross-project research. Writes results to .feature-radar/opportunities/. MUST use this skill when the user wants to GENERATE new ideas — not evaluate existing ones. Trigger on any request to brainstorm, explore, discover, or find new feature ideas, even casual ones like "I wonder what else we could do" or "give me ideas". Use when the user: - Asks "what else could we build?", "give me feature ideas", "what are we missing?" - Wants to brainstorm, explore new directions, or refresh the opportunity backlog - Says "scan ecosystem", "scan opportunities", "find new features" - Asks to review GitHub issues, community feedback, or adjacent tools for inspiration - Mentions "explore", "discover", or "new directions" in a feature context - Has a vague idea: "I have an idea", "what if we...", "I was thinking about..." Do NOT use for evaluating/prioritizing existing features — that's feature-radar's job.
Record external observations, ecosystem trends, and creative inspiration into .feature-radar/references/. MUST use this skill when the user mentions something interesting from outside their project — other tools, articles, approaches, or trends. Even casual mentions like "I saw a cool thing in X" should trigger this skill. Use when the user: - Says "I saw this cool thing in X's API", "check out how X handles this" - Shares a URL, article, talk, or research finding with relevant insights - Notes an ecosystem trend: new tools, standards, community patterns - Mentions a related project shipping a notable feature - Wants to bookmark external inspiration: "interesting approach", "save this" - Says "add reference", "log observation", "track this project" Do NOT use for internal learnings/patterns — that's feature-radar-learn's job. Do NOT use for prioritizing features — that's feature-radar's job.
Full-cycle feature discovery, evaluation, and prioritization. Builds a persistent knowledge base at .feature-radar/ and runs a 6-phase workflow to recommend what to build next. Modes: full (all phases), quick (scan only), evaluate (prioritize), #N (deep-dive one). MUST use this skill whenever the user asks about feature priorities, roadmaps, what to build, or wants to evaluate/compare feature ideas — even if they don't say "feature radar" explicitly. Use when the user: - Asks "what should we build next?", "what's most impactful?", or similar - Wants to prioritize, rank, or compare features or backlog items - Needs roadmap planning, project direction, or strategic feature decisions - Says "help me prioritize", "review our backlog", "what are we missing" - Mentions .feature-radar/ directory or feature tracking - Wants periodic reassessment of deferred or open opportunities
Disciplined diagnosis loop for hard bugs and performance regressions. Reproduce → minimise → hypothesise → instrument → fix → regression-test. Use when user says "diagnose this" / "debug this", reports a bug, says something is broken/throwing/failing, or describes a performance regression.
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".
Manages and syncs AI CLI skills and agents across 50+ tools from a single source. Use this skill whenever the user mentions "skillshare", runs skillshare commands, manages skills or agents (install, update, uninstall, sync, audit, analyze, check, diff, search), or troubleshoots skill/agent configuration (orphaned symlinks, broken targets, sync issues). Covers both global (~/.config/skillshare/) and project (.skillshare/) modes. Also use when: adding new AI tool targets (Claude, Cursor, Windsurf, etc.), setting target include/exclude filters or copy vs symlink mode, using backup/restore or trash recovery, piping skillshare output to scripts (--json), setting up CI/CD audit pipelines, building/sharing skill hubs (hub index, hub add), or working with agents (single .md files synced to agent-capable targets like Claude, Cursor, Augment, OpenCode) via positional `agents` filter or `--kind agent`, plus `.agentignore` and `enable`/`disable` for per-agent toggles.
Test-driven development with red-green-refactor loop. Use when user wants to build features or fix bugs using TDD, mentions "red-green-refactor", wants integration tests, or asks for test-first development.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Extract reusable patterns, architectural decisions, and pitfalls from completed work into .feature-radar/specs/. Captures the "why" behind choices so future sessions build on past experience. MUST use this skill when the user reflects on what worked/didn't, wants to document a decision, or mentions remembering a pattern for future use. Use when the user: - Says "remember this approach", "document this decision", "save this pattern" - Reflects: "that worked well", "lessons learned", "what did we learn" - Wants to capture: "don't forget this", "this was a good pattern" - Hit a dead end: "this didn't work because...", "avoid this approach" - Made a technical decision worth recording for posterity - Says "extract learnings" or "capture what we learned" Do NOT use for recording external observations — that's feature-radar-ref's job. Do NOT use for archiving completed features — that's feature-radar-archive's job.
Docker containerization expert with deep knowledge of multi-stage builds, image optimization, container security, Docker Compose orchestration, and production deployment patterns. Use PROACTIVELY for Dockerfile optimization, container issues, image size problems, security hardening, networking, and orchestration challenges.