Use when the user wants forecast posture, forecast accuracy, commit, upside, forecast-call preparation, or a pipeline or deal-risk review for a seller book, team, period, report, or named deal set. Produce a manager-ready forecast rollup, risk posture, recommendation changes, evidence gaps, and follow-up actions.

Use when the user wants to prepare for one or more upcoming meetings with customers, prospects, partners, accounts, or important stakeholders; requests daily or date-based meeting preparation; asks to organize a same-day customer call queue; asks for the most important qualifying meeting of the day; or identifies meetings only by company, attendee, topic, or date. Produce an individual meeting brief or a chronological multi-meeting agenda as appropriate.

Generate image-based alternatives, remixes, or new design directions from a Product Design brief. Use when the user asks for design variants, visual exploration, remixes, or image-generated approaches from provided context.

Deep research on any topic using parallel sub-agents and built-in tools only (WebSearch/WebFetch + free APIs, no keys). Use when the user asks for a thorough multi-source investigation with a cited report — "深度调研X"、"deep research"、"帮我全面研究一下"、"多方求证"、"写一份调研报告". NOT for simple lookups (single WebSearch suffices) and NOT for academic literature surveys (use auto-research skill instead).

Narrow conversion skill. Invoke only when the user explicitly asks to convert an existing local or blob-hosted HTML analytics report into a Google Doc, DOCX, or shareable document.

Use this skill when contributing to InsForge's shared schema package. This is for maintainers editing published Zod contracts, exported types, and shared API payload definitions consumed by InsForge packages in this repo and other InsForge tooling.

Looks up curated web security learning resources (XSS, SQLi, CSRF, SSRF, OAuth/JWT, deserialization, SAML, recon, evasion, defensive tooling, CTF). Filters by topic, difficulty, language, and resource type. Returns top references with archive fallbacks. Defensive and educational use only.

Plan publishable constraint-based metabolic modelling studies when the user has a broad biological or metabolic-engineering topic but no concrete dataset, organism, model, or hypothesis. Selects feasible BiGG/COBRA models, objectives, perturbations, analyses, metrics, figures, and risk controls before FBA code is generated.

Implementation details for the Microsoft.Data.Sqlite ADO.NET provider. Use when changing files under `src/Microsoft.Data.Sqlite.Core/`.

Designs a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices. Use when architecting multi-product solutions for agent-based data analytics or ML workloads. Don't use for simple queries, non-agentic pipelines, general cloud reviews, or writing agent code.

Manages GKE application onboarding, covering containerization, deployment manifests, and migration. Use when onboarding or deploying an application to GKE for the first time, or containerizing an app for GKE. Don't use for general GKE cluster administration or upgrades (use gke-basics or gke-upgrades instead).

Manages GenAI tuning jobs in Agent Platform. Use this to list, get, or cancel ongoing model tuning jobs. Don't use for fine-tuning models (use `agent-platform-tuning`), deploying models to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).

Design systems with appropriate complexity - no more, no less. Use when the user asks to architect applications, design system boundaries, plan service decomposition, evaluate monolith vs microservices, make scaling decisions, or review structural trade-offs. Applies to new system design, refactoring, and migration planning.

Use for lark-cli setup/auth tasks: auth login/status/logout, user vs bot identity, business-domain permissions (--domain, including all/docs/drive), missing scopes, revoking authorization, or handling _notice JSON.

Use when asked to add, revise, or review a changelog or release-notes entry in this repo. Inspect the existing changelog section style and the relevant PR, issue, and commit context first, then write a focused entry in the correct release section without overstating docs, tests, or chores unless they are the primary user-facing change.

Use when asked to prepare new Flet release by bumping versions and author release notes.

Use when writing or reviewing Flet documentation, including Python docstrings (Google style, reST roles, admonitions), Markdown docs (cross-references, images, code examples), and sidebar navigation.

Wren Engine CLI workflow guide for AI agents. Answer data questions end-to-end using the wren CLI: gather schema context, recall past queries, write SQL through the MDL semantic layer, execute, and learn from confirmed results. Use when: user asks a data question, requests a report or analysis, asks about metrics, revenue, customers, orders, trends, or any business data; user says 'how many', 'show me', 'what is the', 'top N', 'compare', 'trend', 'growth', 'breakdown'; user wants to explore, analyze, filter, aggregate, or summarize data from a database; agent needs to query data, connect a data source, handle errors, or manage MDL changes via the wren CLI.

Turn a Wren project's context layer into a shareable, browser-side GenBI web app and deploy it to the user's Vercel or Cloudflare account. Orchestrates the full flow: `wren genbi build` returns a project-hydrated build instruction, the agent authors the app from scratch into apps/<name>/, then register → verify → deploy produce a shareable URL. Use this skill whenever the user wants to: build a dashboard from their Wren project, make a shareable analytics app, deploy their context layer as a web app, host a GenBI app on Vercel or Cloudflare Pages, or asks for a 'genbi app'.

Use when working with TradingView's lightweight-charts — creating charts, adding series (Line/Area/Bar/Candlestick/Histogram), configuring time and price scales, streaming realtime or historical data, panes, markers, per-bar/per-point colors, tooltips, coordinate conversion, custom plugins or primitives, non-financial horizontal scales, SSR/browser loading, or React/Vue/Web Components wrappers. Covers v5 API conventions and the common time, scale, marker, plugin, and wrapper foot-guns.