Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store

Azure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations.

Azure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations.

Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction.

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

Fit first-order dynamic models to experimental step response data and extract K (gain) and tau (time constant) parameters.

Plan, design, or implement an A/B test or experiment. Includes methodology, statistical significance, and metric selection.

Storybook 8+ — writing stories (CSF3), configuring main.ts / preview.ts, addons (essentials, a11y, designs, MSW), parameters, args/argTypes, decorators, doc blocks, test-runner / Vitest integration, and framework setup (React/Vite, Next.js, SvelteKit, Vue). Use when authoring or debugging stories, configuring Storybook, mocking network requests, or wiring component tests.

Use when orienting, onboarding, or planning before a concrete task — the entry point for building a customized Workfront UI on Adobe App Builder. Reach for this whenever the user is: brand new to Workfront UI extensions and asking where to start or what the process looks like; describing a Workfront customization idea and asking how to build it; asking for the end-to-end roadmap (set up → scaffold → build → test → deploy → publish); or asking how the React/Spectrum SPA, the serverless Runtime actions, and the Workfront extension points fit together. This umbrella routes each stage to its skill: workfront-ui-extension (front-end SPA + extension points), workfront-actions (Runtime actions + Workfront Public API v21), workfront-local-testing (previewing a build inside Workfront); machine setup and aio app init live in appbuilder-project-init. Skip it and go straight to the matching sub-skill when the user already has one specific task.

End-to-end smoke test for the `tessl launch skill --cloud` pipeline. Reads one Linear issue (read-only) via the Linear API to prove `LINEAR_TOKEN` is wired into the sandbox, appends a single run-marker line to a log file, then opens a GitHub pull request with that one-line change to prove `GITHUB_TOKEN` and the publish path work. Use whenever you need to verify a cloud launch can reach Linear and GitHub and open a PR end to end -- dogfooding the launch pipeline, checking that credentials forward into the sandbox, or as a minimal known-good skill to launch when debugging the launch flow itself. Self-contained: driven by launcher-supplied inputs plus `LINEAR_TOKEN` and `gh` credentials in the environment. Makes no Linear writes; its only change is the one appended log line in the PR it opens.

Use when setting up or repairing a development environment for this repository on a machine — Bun at the pinned version, the GitHub CLI and its auth, SSH commit signing and the recommended git config, workspace dependencies, lefthook hooks and the portless dev proxy — and verifying it with the type-check, lint and format gates. Also the place to start when bun, gh, turbo or a hook is missing or the wrong version.

Generate JSON-LD structured data for AEM Edge Delivery Services pages. Analyzes page content and metadata to determine the appropriate schema.org types, extracts relevant properties, and produces validated JSON-LD snippets ready for implementation in head.html or scripts.js. Use when adding rich results support, improving search appearance, or auditing existing structured data.

Validate an AEM Edge Delivery Services sitemap.xml against actual site content. Cross-references the sitemap with the query index, checks URL reachability, validates lastmod dates, and identifies missing or orphaned pages. Use when auditing SEO health, preparing for launch, or investigating indexing issues.

Identifies which items (pages, campaigns, products, channels, regions) had the biggest increases or decreases for a key metric between two time periods. Use this skill when someone asks "what's up and what's down," "which campaigns moved the most," "top gainers and losers," "what pages are trending," "show me what changed by channel," or any variation of identifying the biggest movers and decliners for a metric.

Recommend which LLM model to use for a task. Use when asked "which model / best LLM for X", "pick a model for this task", or for a model shortlist ranked by live leaderboard evidence (coding, reasoning, agentic, tool-use, price, speed). Live-fetches public leaderboards and ranks models with per-axis rationale and citations.

Handles system follow-up turns: planned-task-follow-up (synthesize, replan, build-workflow, checkpoint), background-task-completed, running-tasks context, and create-tasks silence rules. Load whenever any of these tags appear or after calling create-tasks.

Migrate OpenTelemetry Span Events (AddEvent, RecordException, and language equivalents) to the Logs API following the accepted OTEP 4430 migration plan. Use when migrating instrumentation from span events to log-based events, reviewing code that still uses AddEvent or RecordException, or planning a codebase migration while preserving trace correlation.