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Found 1,945 Skills
Run an ApexGuru performance scan on a Salesforce Apex project via the ApexGuru SFAP Scan API. Zips the project's Apex (any layout), submits it, polls to completion, decodes the base64 report, and presents performance antipattern violations (SOQL in loop, DML in loop, Schema.getGlobalDescribe(), SOQL without WHERE/LIMIT, unused SOQL fields) grouped by rule with severity, file:line, and suggested fixes — clearly attributed as 'Static only' or 'Production insights'. TRIGGER when the user says 'run ApexGuru', 'ApexGuru scan', 'check Apex performance', 'find governor-limit / performance antipatterns', 'SOQL in loop', 'scan my Apex for performance', or 'ApexGuru performance insights'. DO NOT TRIGGER for general static analysis or security scans (use dx-code-analyzer-run), for fixing code without scanning, or for onboarding an org to ApexGuru.
Generate or maintain Rspress documentation for a project. Use whenever the user wants to create a new Rspress v2 docs site, add docs for user-facing feature work or PRs, maintain a dedicated Rspress docs project in a monorepo, or prevent stale Rspress v1 scaffolds/version drift before documentation work. For full v1-to-v2 migration, hand off to the rspress-v2-upgrade skill.
Author and review GitHub Actions workflow YAML safely so syntactically-valid YAML can't ship a workflow that GitHub Actions refuses to run. USE FOR: editing, adding, or reviewing any file under .github/workflows/, writing run-name/name/if/env/run values that contain ${{ }} expressions, diagnosing a run that fails with 'This run likely failed because of a workflow file issue' and no jobs starting, deciding when a workflow scalar must be quoted, validating workflows with actionlint. DO NOT USE FOR: authoring application YAML unrelated to GitHub Actions, Azure Pipelines, GitLab CI, or non-workflow YAML. SCOPE: this skill covers *syntactic/structural* correctness of workflow YAML (quoting, parsing, actionlint); for *semantic and functional* workflow design (what a workflow should do, agentic-workflow behavior), see .github/agents/agentic-workflows.agent.md — the two are complementary. INVOKES: actionlint (downloaded pinned binary) plus git/grep for inspection.
Build forms, validate data, and react to user input in Blazor. USE FOR adding forms, search boxes, filter panels, inline editing, data-entry UI, file uploads, validation (annotations or custom), handling form submissions, and binding input controls. Covers EditForm, built-in input components, DataAnnotationsValidator, custom validation, SSR form patterns (SupplyParameterFromForm, FormName, AntiforgeryToken, Enhance), and @bind for simple interactive controls. DO NOT USE for project scaffolding (see create-blazor-project) or prerendering issues (see support-prerendering).
Processes GCP infrastructure design and deployment workflows. Use when: - Designing GCP infrastructure with Terraform. - Validating local HCL. - Performing best-practice plan scans. - Importing templates to Application Design Center (ADC). - Deploying templates. - Troubleshooting deployment failures. Don't use for non-GCP cloud providers, or general Terraform coding outside the ADC context.
Facilitates the first step of a proven ideal-customer (ICP) method: gathering raw, honest, specific observations about what a company and product actually are — before any judgment about strengths or weaknesses. Walks the user through twelve unsparing question categories (what customers praise, the complaint with no defense, what separates your most profitable customers, and more) — or processes a team's write-storm notes one observation at a time — and records the results in OBSERVATIONS.md (numbered O1, O2, …), vivid and unevaluated. For a company operating online, it first scans public reviews and press into an External Research section that seeds it. Load when the user wants to figure out their ideal customer, take an honest look at their company, run a strengths-and-weaknesses exercise from scratch, or says 'who is our Carol' or 'what are we actually good at.' Do NOT load to classify observations into strengths and weaknesses (the next step), or for personal self-reflection unrelated to a company.
Complete TikTok Shop selling guide. Setup, listing optimization, content strategy, live selling, creator affiliates, and scaling strategies. Use when the user asks about TikTok Shop setup, how to sell on TikTok, TikTok Shop guide, or getting started with TikTok Shop.
Generate or scaffold ASP.NET Core code — Razor Pages, Blazor components, MVC controllers, views, and Minimal API endpoints — without using ASP.NET Core CLI scaffolding/code-generation tools. Use when (1) adding CRUD pages, views, or API endpoints backed by Entity Framework (EF Core) and a database, (2) generating code to create, read, update, and delete data using a DbContext, (3) scaffolding UI components that match the project's existing CSS framework and coding patterns, or (4) creating data-driven forms, tables, and navigation for a model class. Do not use for non-ASP.NET projects or when CLI-based scaffolding is preferred.
Architecture-aware feature scaffolding for .NET 10 projects. Detects the project's architecture (VSA, Clean Architecture, DDD, Modular Monolith) and generates complete feature slices with all required layers: endpoint, handler, validator, DTOs, EF configuration, and integration tests — with the completeness checklist and per-architecture code templates every generated feature must satisfy. Use when: "scaffold", "create feature", "add feature", "new endpoint", "generate", "add entity", "scaffold a module", "add module", or when customizing generation templates or defining what a complete feature slice includes.
Operate a Seeed XIAO ESP32S3 board with arduino-cli on Windows: install the core, compile, upload, read serial output, and run verified examples (blink, serial, touch, ADC, PWM, WiFi scan/AP, BLE, deep sleep). Use this skill WHENEVER the task involves an ESP32S3 / XIAO board, arduino-cli, flashing a sketch, reading the serial monitor, COM ports, or any embedded/Arduino work — even for a "simple" LED change. It contains verified commands and known pitfalls (DTR reset, deep-sleep USB drop, PSRAM flag) that prevent wasted debugging time.
Bring up I2C sensors on a XIAO ESP32S3 and stream their values to serial: BH1750 ambient light, BME280 temperature/pressure/humidity, and BNO055 9-DOF fused orientation, individually as unit tests or all three together on one bus. Use this skill WHENEVER the task involves I2C sensors on an ESP32S3 — wiring one up, "센서 값 읽어줘", a sensor that answers the scan but reads zeros, unit-testing a module before trusting it, deciding whether a 0x76 part is a BME280 or a BMP280, or a BNO055 whose orientation stays at 0. It carries hardware-verified sketches and the address/clock traps that make a healthy-looking sensor return nothing.
Inspects Google Cloud Filestore capacity and utilization, evaluates storage scaling rules, and performs capacity autoscaling (scale UP for low free space or scale DOWN for cost optimization). Use when monitoring Filestore instance headroom, resizing instance shares, configuring automated growth/shrink thresholds, or preventing out-of-space outages. Don't use for Cloud Storage (GCS) buckets, Persistent Disk block storage, or NetApp Volumes.