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Found 11,851 Skills
Optional AI SDLC research workflow. Use when an AI assistant needs to investigate a customer, market, domain, technology, regulation, competitor, operational question, or implementation uncertainty and produce a routed source inventory plus synthesized findings with confidence, limitations, open questions, and delivery trace targets. Supports `--quick-flow` for focused evidence and `--full-flow` for multi-source and source-diversity gates.
AI SDLC Git-flow branching workflow. Use when an AI assistant starts implementation work, needs to create or verify a task branch, checks branch/spec alignment, or prepares to hand off a completed user-visible task to validation and commit prep. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution.
Use when a PRFAQ, BRD, or equivalent discovery package exists and you need to review it for delivery gaps, contradictions, missing business rules, and insufficient implementation handoff detail before writing user stories or specs. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution. Explicit full or end-to-end spec refinement requests continue through the existing 18-stage refinement cascade.
Designs, builds, and deploys AI agents or multi-agent systems on Google Cloud. Provides an interactive workflow to gather requirements, recommend a tailored architecture, and generate deployment instructions. Use when designing or implementing agentic systems on Google Cloud. Don't use for general Google Cloud solution architecture (use google-cloud-solution-architecture instead) or for narrow tasks targeting a single product without agent context.
Use when starting a brand-new Unity game or project from scratch — "make/start/create a new game", "bootstrap a Unity project", "I want to build a <genre> game", "scaffold/prototype a game", game jam, greenfield, blank project, project setup. A guided flow that gathers the concept, target platforms, and monetization, installs the Editor in the background while it asks, then creates the project and source control and installs packages — delegating the mechanics to the unity-cli and unity-package-management skills and handing off monetization to the dedicated skills. Does not scaffold gameplay code.
Lightweight workflow for straightforward changes — plan → implement → optional PR. Direct-commit by default; synthesize is opt-in via synthesisPolicy or a runtime request_synthesize event. Use for trivial fixes, config tweaks, single-file changes, or exploratory work that doesn't warrant subagent dispatch or two-stage review. Triggers: 'oneshot', 'quick fix', 'small change', or oneshot.
Restore and read workflow state after a context break — re-inject workflow phase, task progress, and behavioral guidance into the current session, reconcile state against git reality, and verify whether a workflow exists. Use when the user says 'resume', 'rehydrate', 'where were we', or runs /rehydrate, or when the agent has drifted after context compaction. Do NOT use for saving or mutating state (that is /checkpoint).
Pre-build product and feature risk review for founders, product managers, and AI-assisted builders. Use this skill when the user is about to build a landing page, MVP, SaaS product, internal tool, agent workflow, or major feature and needs to check demand, positioning, monetization, retention, trust, distribution, and adoption risk before implementation starts.
Use to set up, configure, ground, or go live with a Salesforce Help Agent (an Agentforce Service Agent in Service Cloud) via a guided four-checkpoint flow. Use whenever a user says any of: set up / create / build / add a help agent, service agent, or support chat agent; add or embed a chat widget on a website or Experience Cloud / LWR site; put a help agent on a channel (web chat, voice, phone, help portal), even while rejecting web chat; ground a help agent on Salesforce Knowledge; or wants an AI to answer customer questions, manage support cases, and escalate to a human. The right skill even when the request names only one part, names a coming-soon channel this skill hard-stops on, or references help-agent-spec.md or the Agentforce Quick Setup wizard. DO NOT TRIGGER when authoring a brand-new agent with no Help Agent lineage (use agentforce-generate), configuring OAuth/ECAs (use integration-connectivity-connected-app-configure), or only deploying metadata (use platform-metadata-deploy).
Perform a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.
Render two or more independent questions from an Agent workflow as a local interactive form, preselect recommended answers, save responses as portable JSON, and return submitted answers directly to the waiting Agent command. Use for grilling, brainstorming, requirement clarification, configuration, planning, or any workflow that needs to ask multiple questions at once. Also use the manual recovery path when the user says “已提交”, “提交好了”, or “答完了” after an active Ask UI round.
Analyze financial statements for investment decisions: derive EBITDA and free cash flow (FCFF/FCFE) from the income statement and cash flow statement, compute ROIC, margins, and DuPont ROE decomposition, and assess quality of earnings via accruals and working capital trends. Use when the user asks about 'reading a 10-K', 'income statement vs cash flow statement', 'how to calculate free cash flow', 'FCFF vs FCFE', 'EBITDA adjustments', 'ROIC vs WACC', 'DuPont analysis', 'quality of earnings', 'accruals ratio', 'cash conversion cycle', 'revenue recognition red flags', 'deferred taxes', or 'cost basis and embedded capital gains'. Also trigger for fundamental analysis questions like whether reported earnings are backed by cash, whether a company creates value above its cost of capital, or the tax consequences of selling an appreciated position.