Direct visual and creative work for campaigns, photography, illustration, video, and branded experiences. Use this skill whenever the user wants to brief a photographer, direct illustrators, plan a creative campaign, develop visual concepts, or evaluate creative work for fit. Triggers on art direction, photo brief, photography brief, illustration brief, campaign concept, creative concept, visual direction, mood board, look and feel, visual treatment, video direction. Also triggers when the user has approved brand identity but needs to extend it into specific creative deliverables. Use `creative-direction` instead when the ask is the project-wide aesthetic brief that this skill consumes as input.

Running closed and open betas that produce real signal. Beta participant selection, structured feedback collection, beta-to-GA decision criteria, and the difference between soft-launch (no structure, no signal), kitchen-sink (everyone in, no actionable feedback), and structured beta (calibrated cohort, intentional feedback loops, clear graduation criteria). Triggers on beta program, alpha test, beta cohort, beta participant, beta feedback, beta to GA decision, design partner, early access program, closed beta, open beta, RC release. Also triggers when a feature is approaching launch and the team needs structured pre-GA validation, when prior betas produced noise rather than signal, or when the team has soft-launched before but wants more structured feedback this time.

How to produce ad creative that converts at performance scale. Hook patterns, format selection, video pacing, variation systems, sequential testing methodology, fatigue detection, brand-voice alignment without conversion dilution, and platform-specific creative norms. Triggers on ad creative, ad design, hook patterns, ad video pacing, creative testing, ad variations, creative refresh, creative fatigue, refresh ad creative, video ads for Meta, TikTok creative, LinkedIn ad creative, ad asset library. Also triggers when a team is producing creative at scale, planning a creative test cycle, or auditing why creative is not converting.

Assess whether source code is ready to deploy to Azure — the check BEFORE infrastructure work. Evaluates build health, app completeness, dependencies and local services, stack compatibility, and deployment feasibility. Answers questions about what your app needs before it can be deployed — frameworks, dependencies, and configuration. Checks whether dependencies are compatible and identifies deployment blockers and unsupported frameworks. WHEN: "evaluate my repo", "is my app ready to deploy", "what does my app need to deploy", "what do I need before deploying", "does my app need", "can I ship this to Azure", "scan my repo for issues", "is this app deployable", "check if my app is ready for Azure", "do I need a Dockerfile", "what's blocking my deployment", "are there any blockers", "are my dependencies compatible", "does Azure support my framework", "what needs to change before deploying", "check my app configuration".

Use this skill for web search, extraction, mapping, crawling, and research via Tavily’s REST API when web searches are needed and no built-in tool is available, or when Tavily’s LLM-friendly format is beneficial.

Use this skill for web search, extraction, mapping, crawling, and research via Tavily’s REST API when web searches are needed and no built-in tool is available, or when Tavily’s LLM-friendly format is beneficial.

Generate and edit images using Google's Nano Banana 2 (Gemini 3.1 Flash Image Preview) API. This skill should be used when the user asks to create or modify images, especially when they need fast iteration, explicit aspect-ratio control, or resolution control from 512px to 4K.

Analyze execution risk by classifying inventory, scanning extra_vars for secrets, and assessing scope. Use when: - "Execute on production", "Deploy to production" (as first step before launch) - "Is this execution safe?" - "Check execution risk" - "Validate the execution target" NOT for: launching jobs (use governed-job-launcher) or troubleshooting failures (use job-failure-analyzer).

Use this skill when the user wants to convert a Dagster Fivetran integration — FivetranResource / FivetranWorkspace, build_fivetran_assets, load_fivetran_asset_specs, or fivetran_assets — into an equivalent Orchestra pipeline task. Triggers: any mention of migrating or rewriting Dagster Fivetran assets/resources to Orchestra; Dagster code importing from dagster_fivetran.

Write structured Markdown documentation. Use when: creating a README, ADR, design doc, RFC, runbook, playbook, release notes, incident report, API doc, troubleshooting guide, FAQ, onboarding guide, contributing guide, changelog, user guide, meeting notes, Confluence page, JIRA ticket, or any technical document. Handles tables of contents, summaries, conclusions, comparison tables, decision matrices, glossaries, and diagram placeholders.

Enforce output quality, evidence verification, and quality gates across security audits. Use this skill when you perform SAST, SCA, threat modeling, or security code reviews. Use this skill to verify code locations and taint traces for all findings. Use this skill to prevent the suppression of valid security findings. Use this skill to evaluate reports against quality thresholds (score ≥ 8/10) before delivery.

This skill should be used when code search is needed (whether explicitly requested or as part of completing a task), when indexing the codebase after changes, or when the user asks about ccc, cocoindex-code, or the codebase index. Trigger phrases include 'search the codebase', 'find code related to', 'update the index', 'ccc', 'cocoindex-code'.

Use when the user wants to be taught a subject, not just answered — "teach me X", "help me learn X", "help me understand X", "help me grok X", "explain how X works", "quiz me on X", "I keep bouncing off X" — where X can be anything: a historical period, a statistical method, music theory, a poem, a legal concept, a cooking technique, a library, a codebase, or a code change. Change-focused asks belong here too: "explain this diff/PR/branch", "walk me through this change", "onboarding doc for this change", "teach me what changed", "help me/my team understand this PR". Spans a quick in-chat lesson up to a saved, dated lesson artifact. Not for: a quick factual answer (just answer), needing only to see a shape or sketch (use show-me), writing a commit message (use commit-message), or reviewing code for defects (use code-review).

Use when the user wants a deep, multi-source, fact-checked web research report on a topic too broad for a single search. Triggers: "deep research on X", "research report", "investigate thoroughly", "comprehensive findings on", "what's the current state of X", "survey the landscape of". Not for: single-fact lookups, library/API/version questions (use mcp-research), or open-ended ideation (use brainstorming).

Writes rigorous mathematical proofs for ML/AI theory. Use when asked to prove a theorem, lemma, proposition, or corollary, fill in missing proof steps, formalize a proof sketch, 补全证明, 写证明, 证明某个命题, or determine whether a claimed proof can actually be completed under the stated assumptions.

Structures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a paper-ready formula document. Use when the derivation target is not yet fully fixed, the main object still needs to be chosen, or the user needs a coherent derivation package rather than a finished theorem proof.

Coding practices for backend development in Atomic CRM. Use when deciding whether backend logic is needed, or when creating/modifying database migrations, views, triggers, RLS policies, edge functions, or custom dataProvider methods that call Supabase APIs.

Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. This skill covers the Interactions API, the recommended way to use Gemini models and agents in Python and TypeScript.

Create EF Core PRs targeting servicing release branches (release/*). Use when working on a PR that targets a release branch, backporting a fix from main, or when the user mentions servicing, patch, or release branch.

Use when the user explicitly wants to create, edit, validate, sync, or troubleshoot n8n workflows, asks about n8n nodes or automation, or wants to use n8n-as-code in the current context root.