Results for “da”

Explains MariaDB explicit table locking (LOCK TABLES/UNLOCK TABLES) and named user-level locks (GET_LOCK family), covering alias traps, implicit commits, and multi-lock semantics for writing or reviewing locking code.

Reference for MariaDB's vector functions and VECTOR data type, covering VEC_Distance, VEC_Distance_Euclidean, VEC_Distance_Cosine, VEC_FromText, VEC_ToText, and MHNSW vector index usage for SQL queries over embeddings.

Runs a full website SEO audit by crawling up to 500 pages, detecting business type, delegating to specialist subagents, and producing a prioritized action plan with a health score.

Provides a structured deep-dive into CORS misconfiguration vulnerabilities with exact payloads for every PortSwigger lab variant, including zero-day escalation techniques and blue-team detection guidance.

Load this skill when the user says "close issue", "close-issue", or "/close-issue". Verifies IT and UC acceptance criteria for a story issue, ticks off passing checkboxes, and closes the issue only if all criteria pass and the linked PR has been merged.

Load this skill when the user says "update coding standards", "update-coding-standards", or "/update-coding-standards". Analyzes the diff of a merged PR and appends any valuable new patterns to the relevant coding standards doc — but only if something genuinely warrants documenting.

Implement routing in Angular v20+ applications with lazy loading, functional guards, resolvers, and route parameters. Use for navigation setup, protected routes, route-based data loading, and nested routing. Triggers on route configuration, adding authentication guards, implementing lazy loading, or reading route parameters with signals.

Decide where to save any piece of information — monday.com, local file, daily notes, or MEMORY.md. Use this skill before saving anything to ensure the right destination. Prevents local clutter and ensures the owner can access all relevant content in monday.com.

Analyze codebase structure, generate domain-specific sub-skills (UI, Backend, Database, etc.), and create agent-guidance files to help AI agents navigate and develop consistently within a project. Use when onboarding to a new codebase, creating project documentation, or setting up agent guidance systems.

NN/g-grounded page enhancement for flows and semantic data wiring — not visual polish. Use when "this page feels AI-generated", "fix UX of /xxx", "improve information density", or "icons all look the same". Composition/type → enhance-web-ui. Heuristics-only → audit-ux.

Audit a Supabase/Postgres project for Row-Level Security and access-control gaps, then produce a phased remediation plan. Use when "RLS", "is my Supabase secure", "anyone can read my data", "lock down my tables". App-layer session/route gates → audit-auth-flows.

Read-only audit of hosting, database, storage, egress, and serverless spend (Supabase, Vercel, S3/R2, edge). Use when "hosting bill is high", "cut infra costs", or a bill jumps. CI minutes → audit-cicd. Model tokens → plan-llm-cost-guardrails. Consumes test-load numbers.

This skill guides the simultaneous measurement of serum and urine osmolarity to evaluate polyuria for central diabetes insipidus. It is triggered when a patient presents with polyuria exceeding 50 mL/kg/24 hours or 3.5 L/day in a 70‑kg individual.

Use when generating, prototyping, or iterating on UI designs (prototypes, wireframes, slide decks, landing/dashboard mockups) with Anthropic's Claude Design tool at claude.ai/design — particularly when you want a design system applied automatically and a clean handoff into Claude Code for implementation.

Research the last 30 days across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and grounded web search. Returns a ranked, clustered brief with citations. Use when the task needs recent social evidence, competitor comparisons, launch reactions, trend scans, or person/company profiles.

Drafts U.S. SEC Form D notice data sets for Regulation D exempt offerings (Rule 504, 506(b), 506(c)), ready for EDGAR submission. Use when preparing a Form D filing, notice of exempt offering, Reg D compliance, or unregistered securities offering notice.

Author slide decks in Markdown using Marp, with native support for Mermaid diagrams and embedded HTML (compatible with the architecture/infocard/infographic skills). Export to PowerPoint (.pptx), PDF, and HTML via marp-cli. Best for engineering presentations, architecture reviews, and recurring decks regenerated from data.

Use when Codex needs to generate or scaffold a React or Next.js component with clear props, state handling, Tailwind styling direction, accessibility, and file structure. Trigger on requests to create a component, page section, dashboard widget, form, modal, or reusable UI block.

Design, implement, and validate reproducible machine-learning pipelines spanning data preparation, training, evaluation, registry, and deployment gates. Use when the user requests an ML pipeline, needs to turn model scripts into an orchestrated workflow, or provides pipeline components that must be connected safely.

Use when the user wants to create or edit forms, collect or query entries, bulk-update form data, check invoices or payment history, or manage their Jinshuju (金数据) account and team members. Also activate for keywords: 金数据, 表单, 问卷, 报名表, form_token, 数据录入, 数据查询, 批量修改.

Foundational SQL patterns for query writing, schema design, and dialect differences. Use when writing SQL queries, designing database schemas, understanding SQL syntax across PostgreSQL/MySQL/SQLite, or preparing SQL for conversion to other query languages. This is a meta-skill for SQL derivatives.

Foundational Clojure patterns covering functional programming, REPL-driven development, immutable data structures, and idiomatic code. Use when writing Clojure code, working with sequences and lazy evaluation, understanding macros, or needing guidance on functional programming patterns. This is the entry point for Clojure development.

Decompose an unknown quantity into 3-5 estimable factors and produce a defensible order-of-magnitude answer without needing precise data. Load when the user needs to size something without data — market size, resource requirements, effort estimates, user numbers, costs — or when a decision is blocked by "we don't know the numbers". Also triggers on "ballpark this", "rough estimate", "how big is this market", "how long would this take", "how many users", or when deep-thinking diagnoses a sizing/estimation frame. The goal is not precision — it is a defensible answer that enables a decision to be made. Based on Enrico Fermi's estimation method.

Selects pricing models (subscription, usage-based, value-based, freemium, hybrid), analyzes willingness-to-pay survey data with Van Westendorp PSM, and designs Good/Better/Best packaging tiers with anti-pattern detection.

Tests and debugs web applications in real browsers using Chrome DevTools MCP, enabling DOM inspection, console error capture, network analysis, performance profiling, and visual verification with live runtime data.

Turns any website's data extraction or operation needs into reusable Agent-callable Skill packages by exploring API endpoints or DOM methods, then generating SKILL.md and Python scripts.

Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard, MLflow), and distributed training (DDP, FSDP, DeepSpeed) for scalable neural network training.

Forecast any univariate time series (sales, sensors, energy, vitals, weather) zero-shot using Google's TimesFM foundation model, with point forecasts and prediction intervals from CSV, DataFrame, or array inputs.

Triages security alerts in Splunk Enterprise Security by classifying severity, investigating notable events, correlating related telemetry, and making escalation or closure decisions using SPL queries and the Incident Review dashboard.

Perform forensic acquisition and analysis of cloud storage services including Google Drive, OneDrive, Dropbox, and Box by collecting both API-based remote data and local sync client artifacts from endpoint devices.

Calculates IV Rank and IV Percentile for any ticker to determine whether implied volatility is high or low relative to its 252-day history, and provides trading signals based on IV zones.

Scans installed or specified agent skills for advertising, covert commercial intent, task hijacking, suspicious external calls, and sensitive-data access. Reports findings first and quarantines only after explicit user confirmation.

Generates a gamified habit-tracking app UI with three phone frames: a cover poster, today's quests with XP and level bar, and a quest detail view with subtasks and rewards.

Runs a closed-loop SEO growth workflow using Search Console data, keyword demand analysis, SERP Authority Mark checks, and the available publishing path, adapting to CMS/API, local repo, hybrid, and advisory-only environments.

Designs and iterates production-grade frontend interfaces, covering UX review, visual hierarchy, accessibility, performance, responsive behavior, theming, typography, layout, color, motion, and design systems. Handles websites, landing pages, dashboards, product UI, components, forms, and more.

Creates a MariaDB REST Service by configuring the REST metadata schema, creating the service and REST schema, and exposing tables, views, and routines as REST endpoints via SQL DDL in mariadb-shell.