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Found 1,626 Skills
Catalyst Zia Services and QuickML — OCR, Face Analytics, Text Analytics, Object Detection, Barcode Reader, Content Moderation, and AutoML predictions. Trigger on 'Zia', 'QuickML', 'OCR', 'face detection', 'text analytics', 'AutoML', 'ML model', or 'train a model on Catalyst'. DC restrictions: Identity Scanner is IN DC only; AutoML/QuickML is not available in EU, AU, IN, JP, SA, CA data centers.
Orchestrate a behavior-preserving refactor — confirm tests are green, restructure without changing behavior, keep tests green, review, and gated commit. Use when the structure should improve but behavior must not change.
Make C# ambient-dependent behavior testable and add deterministic tests. USE FOR: DateTime/Task.Delay/File/Environment/Guid/Random, constructor injection for instance classes, preserving static APIs, nested override restore, parallel isolation, or no real I/O. DO NOT USE FOR: audits, wrapper-only/bulk migration, or an existing injectable seam.
Author, audit, and improve Grafana SKILL.md files against Anthropic's published Agent Skills guidance and the four-dimension rubric the grafana/skills CI gate uses (conciseness, actionability, workflow clarity, progressive disclosure). Applies the canonical SKILL.md structure (YAML frontmatter + body + references/ + scripts/ + assets/), the "pushy description" trigger pattern, the three-level progressive-disclosure model, and the validate-fix-rerun feedback loop. Use when creating a new skill in this repo, when reviewing a skill PR, when a skill's Tessl review score is below 75 (the merge gate), when a skill's description isn't getting picked up by agents, when restructuring a long SKILL.md into a bundle, or when the user asks how to write, improve, optimize, audit, or fix a skill - even if they don't say "skill" explicitly (e.g. "this isn't triggering", "Tessl scored this 72", "split this doc").
Flag comments that merely restate the code instead of explaining why, and remove only those the user approves. Use when asked to remove dumb, redundant, or obvious comments, clean up comments, or invoke `/remove-dumb-comments [<number>|all]`.
Analyze a Figma file via the Figma REST API and generate an interactive design knowledge graph (pages, screens, components, component sets, instances, design tokens) with a kind:"design" dashboard.
Transform research interests into definable, searchable, falsifiable, and executable research questions. Use when the user asks for "help me formulate research questions", "is this topic feasible", "turn my interest into an RQ", or requests the rw-research-question workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.
Clearly restate a human's request so they can confirm alignment before work begins. Use when the human explicitly invokes /readback or $readback after a long, dictated, unclear, or complex prompt; never invoke automatically.
Use when operating Inngest API resources from the terminal with `npx inngest-cli@latest api`: Cloud/local run debugging, event-run lookup, function traces, function invocation, app syncs, webhooks, environments, keys, account checks, and Insights queries. Provides prescriptive command routing for agents: which CLI command to run for a run ID, event ID, app ID, function ID, Cloud environment, API key, missing ID, or potentially mutating operation. Use `inngest-cli` for dev server setup/general CLI workflows and `inngest-api` only when raw REST API v2 docs or OpenAPI fallback are needed.
Architecture selection advisor for .NET applications. Asks structured questions about domain complexity, team size, system lifetime, compliance, and integration needs, then recommends the best-fit architecture: Vertical Slice, Clean Architecture, DDD + Clean Architecture, or Modular Monolith. Load this skill when the user asks "which architecture", "choose architecture", "set up project", "new project", "architecture decision", "restructure", or "how should I organize". Always load BEFORE any architecture-specific skill.
Motion sensing on a XIAO ESP32S3 with an MPU-6050 / MPU-6500 6-axis IMU: accelerometer and gyroscope over I2C, startup calibration, and a moving/still decision driven to the onboard LED. Use this skill WHENEVER the task involves an MPU-60x0 module on an ESP32S3 — "움직임 감지해줘", wiring one up, an Adafruit_MPU6050 sketch whose begin() returns "MPU6050 not found" even though the scan shows 0x68, a gyro that drifts hundreds of degrees per minute, an accelerometer whose magnitude sits well off 9.8 m/s² at rest, or deciding whether a module labelled MPU-6050 is actually an MPU-6500. Carries a hardware-verified library-free driver and the identity trap that makes a perfectly healthy module look broken.
Use this skill when the user wants reusable code, scripts, examples, or docs that build on Steel cloud browsers with SDKs, REST APIs, Playwright, Puppeteer, Stagehand, Browser Use, credentials, profiles, files, extensions, embeds, proxies, or CAPTCHA APIs. Do not use for live web browsing performed by the agent; use steel-browser. Route failed-session diagnosis to steel-session-debugging and reliability mitigation to steel-reliability.