Loading...
Loading...
Found 3,129 Skills
Search and query log data using OpenSearch Query DSL, and discover available log index patterns.
Turn a vague, messy, or multi-part user ask into a clean, self-contained prompt that a fresh agent could execute without further questions. Interview the user one question at a time — walking down the decision tree, branching on each answer — until the prompt is tight, then output the final prompt as the deliverable. Trigger eagerly: any voice-dictated input, filler-heavy prose, underspecified references ("the thing", "that script"), multi-part requests, or any plan the user wants stress-tested. The skill itself can be skipped for trivial one-line requests where producing a prompt artifact would be pure ceremony — but once invoked, always produce the prompt, even if execution looks trivial.
Detect AI-generated code patterns ("slop") in PHP/Laravel and TypeScript/React source — comment narration, generic naming, premature interfaces, defensive overdose, mock-everything tests, and the absence of human "scars". Use when reviewing AI-assisted PRs, auditing code for taste/quality (not metrics — that's technical-debt), or hardening a code-review checklist. Triggers on "review for AI slop", "find AI patterns", "check code feels human", "audit code-quality taste".
Explains how to create and review TypeORM migrations. Use this skill whenever the user wants to change an entity, add or update schema-related database objects, generate a migration, or decide whether a database change should be handled through TypeORM metadata or a custom migration.
Bootstrap evaluators from production traces — emit SDK code, a framework-agnostic JSON spec, or publish online LLM-judge evaluators directly to Datadog. Use when user says "bootstrap evaluators", "generate evaluators", "create evals from traces", "eval bootstrap", "write evaluators", "build eval suite", "publish evaluators", or wants to generate BaseEvaluator/LLMJudge code or online judge configs from production LLM trace data. Works with ml_app and optional RCA report or failure hypothesis.
Teach AI agents how to query data warehouses accurately using ktx - an executable context layer with skills, memory, and a semantic layer
AI-powered social media agent with real browser automation for autonomous account operation
A-share multi-agent investment research framework with 7 AI analysts, bull/bear debate, and risk assessment adapted for Chinese stock market
Add policy enforcement, zero-trust identity, and execution sandboxing to AI agents with Microsoft's Agent Governance Toolkit
Deploy and configure Mercury Agent, a soul-driven AI agent with permission-hardened tools, token budgets, and multi-channel access
OWASP Top 10 security audit and secure coding guidelines for Laravel + React/Inertia.js applications. Use when auditing for vulnerabilities ("run OWASP audit", "security review", "check my app security") or writing secure Laravel code involving auth, payments, file uploads, or API design. Triggers on security-related tasks, payment handling, authentication, or any request to audit a Laravel codebase.
Use when adding authentication to Android applications (Kotlin/Java) with Web Auth, biometric-protected credentials, and MFA - integrates com.auth0.android:auth0 SDK for native Android apps