Use when the user asks to "create an agent", "create a new agent", "set up an agent", "walk me through creating an agent", "connect my agent", "create a main agent", "set up a main agent", "add my main agent to Cekura", "configure my main agent", "connect my main agent", "import my agent from another platform", "create an agent from an exported config", "set up mock tools", "add tools to my agent", "upload knowledge base", "configure integration", "connect VAPI", "connect Retell", "connect LiveKit", "connect ElevenLabs", "add dynamic variables", or needs to connect a voice AI agent to the Cekura platform for testing or observability. Covers the full agent setup flow: project selection, provider selection, basics and connection type, description, main agent creation, mock tools, knowledge base, dynamic variables, and advanced configuration.

When the user wants to set up, audit, or fix conversion tracking to Google Ads, Meta, GA4, LinkedIn, and TikTok, or asks why conversions are missing or doubled: GTM, pixels, CAPI, Enhanced Conversions, offline imports. Fire on confirmed success, not the submit click; verify a test conversion arrives; diagnose before changing; offer free paths and disclose partner tools. For tracking plans, see analytics. For attribution, see attribution. For bidding, see ads.

When the user wants a recurring marketing job an AI agent runs on a cadence or trigger, or asks what a weekly or daily automated check should do, remember, and when it should stop: SEO and ads checks, churn watches, outbound triage. For one-off ideas, see marketing-ideas. For the test loop, see ab-testing.

When the user wants to plan or build a free tool as marketing, or asks whether a tool idea is worth building or which one to pick: calculators, graders, generators, and other interactive tools for leads, SEO, and links. For downloadable lead magnets, see lead-magnets.

When the user wants to run or synthesize customer research, or asks what customer quotes, reviews, or feedback really mean, what is safe to conclude, and what to ask next: interviews, surveys, voice of customer, personas, JTBD, mining Reddit and reviews. For copy from research, see copywriting. For acting on it in pages, see cro.

When the user wants to audit or optimize an App Store or Google Play listing, or asks which title, keywords, or screenshots to pick or why downloads are low: subtitle, description, ratings, and comparing listings with competitors.

Write Harbor task verifiers using Reward Kit. Use when creating or editing a task's tests/ directory, adding grading criteria, setting up LLM/agent judges, or designing verifiers that produce a reward score.

Maintaining packages/phoenix-sqlean, the vendored fork of nalgeon/sqlean.py published as arize-phoenix-sqlean. Use when bumping the bundled SQLite or sqlean versions, changing its wheel matrix, or touching its publish path. Trigger on any change under packages/phoenix-sqlean/, .github/workflows/phoenix-sqlean-*.yml, or the sqlean jobs in .github/workflows/publish.yaml.

Create Phoenix release documentation grounded in actual code changes. Use this skill whenever the user asks to write release notes, document a release, update release documentation, or mentions undocumented releases. Also trigger when the user wants to update GitHub release descriptions, add entries to the release notes page, or asks what changed in a recent Phoenix version.

Architect and provision enterprise Azure infrastructure from workload descriptions. For cloud architects and platform engineers planning networking, identity, security, compliance, and multi-resource topologies with WAF alignment. Generates Bicep or Terraform directly (no azd). WHEN: 'plan Azure infrastructure', 'architect Azure landing zone', 'design hub-spoke network', 'plan multi-region DR topology', 'set up VNets firewalls and private endpoints', 'subscription-scope Bicep deployment', 'Azure Backup for VM workloads'. PREFER azure-prepare FOR app-centric workflows.

Use when deploying an existing web application or API to an already-running Azure Kubernetes Service cluster. Detects the framework, generates a Dockerfile and Kubernetes manifests, validates against AKS Deployment Safeguards, and deploys with verification. WHEN: deploy app to AKS, deploy to existing AKS cluster, containerize app for Kubernetes, generate K8s manifests for Azure, set up CI/CD for AKS, my AKS deployment is failing safeguard checks, I have a Django/Express/Spring Boot app to run on AKS. DO NOT USE FOR: creating or provisioning an AKS cluster (use azure-kubernetes), assessing migration to AKS Automatic (use azure-kubernetes-automatic-readiness), or deploying to non-AKS targets like Web Apps, Container Apps, or Functions.

Use when deploying an existing web application or API to an already-running Azure Kubernetes Service cluster. Detects the framework, generates a Dockerfile and Kubernetes manifests, validates against AKS Deployment Safeguards, and deploys with verification. WHEN: deploy app to AKS, deploy to existing AKS cluster, containerize app for Kubernetes, generate K8s manifests for Azure, set up CI/CD for AKS, my AKS deployment is failing safeguard checks, I have a Django/Express/Spring Boot app to run on AKS. DO NOT USE FOR: creating or provisioning an AKS cluster (use azure-kubernetes), assessing migration to AKS Automatic (use azure-kubernetes-automatic-readiness), or deploying to non-AKS targets like Web Apps, Container Apps, or Functions.

Design the first-run experience — activation path, progressive disclosure, and time to first value. Use for a user's very first session. For the mechanics of the signup form itself, use `form-design`.

Apply Fitts's Law — target acquisition time depends on size and distance. Use when sizing and positioning controls, especially for touch. For how many controls to show at once, use `hicks-law`.

Specify an icon system — grid, sizing, stroke weight, naming, categories, and implementation. Use when standardising iconography. For broader illustration, use `illustration-style` (ui-design).

Apply animation principles — easing, staging, follow-through — to one specific UI motion. Use when tuning how an animation feels. For product-wide duration and easing tokens use `motion-system` (design-systems); for a full interaction spec use `micro-interaction-spec`.

Build a Says, Thinks, Does, Feels map for one user or segment. Use when sharing user understanding quickly. For a composite archetype with goals and behaviours use `user-persona`; for cross-session themes use `affinity-diagram`.

Build a stakeholder map using a power/interest grid, identify communication strategies per quadrant, and generate a communication plan. Use when managing stakeholders, preparing for a launch, aligning cross-functional teams, or planning stakeholder engagement.

Facilitate a structured sprint retrospective — what went well, what didn't, and prioritized action items with owners and deadlines. Use when running a retrospective, reflecting on a sprint, creating action items from team feedback, or learning how to run effective retros.

PDF document processing and manipulation. Tools: Python (PyPDF2, pdfplumber, reportlab), CLI tools. Capabilities: text extraction, table extraction, form filling, merge/split documents, create PDFs, add annotations, watermarks, page manipulation. Actions: extract, create, merge, split, fill, annotate PDFs. Keywords: PDF, text extraction, table extraction, form fill, PDF form, merge PDF, split PDF, create PDF, reportlab, PyPDF2, pdfplumber, annotation, watermark, page rotation, PDF metadata, bookmarks, OCR. Use when: extracting text/tables from PDFs, filling PDF forms, merging/splitting documents, creating PDFs programmatically, adding annotations/watermarks, processing PDFs at scale.