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Found 2,797 Skills
Decide where files live in an ML experimentation project: reusable code in `src/<pkg>/`, one `# %%` script per experiment in `experiments/`, design notes + index in `journal/`, reports in `reports/`, agent-only probes in `scratch/`, narrative digest in `overview/summary.md`. Owns the layout, the file-creation rules (one file per experiment, ask before editing), and the jupytext `# %%` script convention. Never imposes `data/` — the user owns that. TRIGGER — any of: - Starting a new ML project / scaffolding a workspace. - About to create the first experiment file in a project. - About to create `src/<pkg>/data.py` / `features.py` / `pipeline.py` / `evaluate.py` for the first time. - About to write a `.ipynb` for experimentation — redirect to a `# %%` script under `experiments/`. - User asks where something should live, how to organize the project, or how to set up the workspace. - About to add a new experiment iteration — decide new file vs edit existing (ask the user). SKIP when: the file is clearly part of an already-populated module (e.g., adding a function to existing `features.py`); pure refactor inside a single existing file; pipeline declaration mechanics (`build-ml-pipeline`); evaluation mechanics (`evaluate-ml-pipeline`); skore symbol lookup (`python-api`). HOW TO USE: **first run the Detection table** below — if any signal matches, glue to existing conventions (do not rename or move folders). If no signal matches, scaffold the default layout. **Emit the Pre-flight checklist as visible text and read the Stop conditions before any file is created or edited.** Use templates in `templates/`; copy and adapt, do not rewrite from scratch.
Sparse4D for multi-camera temporal 3D object detection and tracking. Uses sparse queries with deformable attention across camera views and time for end-to-end 3D perception, with an instance bank for temporal tracking. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Sparse4D model. Trigger phrases include "train Sparse4D", "multi-camera 3D detection", "temporal 3D tracker", "sparse query 3D perception".
Spawning Plan. Use when user wants to spawn agents, create a team, or coordinate multiple agents. Automatically gathers context, asks team topology questions, outputs clean TEAM PLAN markdown, and gets user approval. 3 steps: context gathering → questions → present plan. **CRITICAL**: MUST NOT SPAWN AGENTS SKIPPING THIS SKILL, USE ALWAYS.
Use to spawn isolated worker processes for autonomous issue work. Creates git worktrees, constructs worker prompts, and handles worker lifecycle.
This skill provides comprehensive knowledge for implementing Cloudflare Turnstile, the CAPTCHA-alternative bot protection system. It should be used when integrating bot protection into forms, login pages, signup flows, or any user-facing feature requiring spam/bot prevention. Turnstile runs invisible challenges in the background, maintaining excellent user experience while blocking automated traffic. Use when: Adding bot protection to forms, implementing login security, protecting API endpoints from abuse, migrating from reCAPTCHA/hCaptcha, encountering CSP errors with Turnstile, handling token validation failures, implementing E2E tests with Turnstile, integrating with React/Next.js/Hono applications, or debugging error codes 100*, 300*, 600*. Keywords: turnstile, captcha, bot protection, cloudflare challenge, siteverify, recaptcha alternative, spam prevention, form protection, cf-turnstile, turnstile widget, token validation, managed challenge, invisible challenge, @marsidev/react-turnstile, hono turnstile, workers turnstile
Interact with Google Workspace - create documents, spreadsheets, send emails via Gmail, and manage Google Drive files.
Analyze spatial transcriptomics data to map gene expression in tissue architecture. Supports 10x Visium, MERFISH, seqFISH, Slide-seq, and imaging-based platforms. Performs spatial clustering, domain identification, cell-cell proximity analysis, spatial gene expression patterns, tissue architecture mapping, and integration with single-cell data. Use when analyzing spatial transcriptomics datasets, studying tissue organization, identifying spatial expression patterns, mapping cell-cell interactions in tissue context, characterizing tumor microenvironment spatial structure, or integrating spatial and single-cell RNA-seq data for comprehensive tissue analysis.
Guide for creating PHP and Laravel packages using Spatie's package-skeleton-laravel and package-skeleton-php templates. Use when the user wants to create a new PHP or Laravel package, scaffold a package. Also use when building customizable packages — covers proven patterns for extensibility (events, configurable models/jobs, action classes) instead of config option creep.
Create and manage PNPM workspaces following Constructive standards. Use when asked to "create a monorepo", "set up a workspace", "configure pnpm", or when starting a new TypeScript/JavaScript project with multiple packages.
World-class OKR coaching and sparring partner that provides sharp, practical criticism for OKR drafts. Use when creating, reviewing, or refining OKRs to ensure strategic alignment, measurability, and executability.
Mandatory protocol for dispatching any built-in and custom agent in this project via the task tool. Use this skill EVERY TIME you are about to call the task tool with a custom agent_type. This skill ensures the agent's intended model (declared in its YAML frontmatter) is respected rather than overridden by a default. Also encodes prompting best practices for subagent context and quality. ALWAYS invoke before any task tool call that targets a custom agent — even if the agent name seems obvious.
Implement Syncfusion Windows Forms Sparkline controls for compact data visualization. Use this when working with sparklines, trend displays in condensed format, or high-density data visualization. This skill covers line, column, and WinLoss chart types, data point markers, high/low value highlighting, and lightweight graphical representations in Windows Forms applications.