Results for “e-e-a-t”

Conduct failure mode and effects analyses. TRIGGERS - Use when user needs help with fmea-guide related tasks.

Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

Complete PortSwigger deep-dive with exact payloads for every lab variant including zero-day techniques

Complete PortSwigger deep-dive with exact payloads for every lab variant including zero-day techniques

Complete PortSwigger deep-dive with exact payloads for every lab variant including zero-day techniques

Scaling Vision with Sparse Mixture of Experts

CogVLM: Visual Expert for Pretrained Language Models

Chameleon: Mixed-Modal Early-Fusion Foundation Models

PUA Pro extensions: self-evolution notes, compaction state continuity, KPI-style summaries, flavor switching, and feedback tools.

Start, query, and stop a TAO inference microservice for a specific network architecture by delegating container execution to the appropriate platform skill.

Orchestrates multi-agent teams using the ClawTeam CLI, enabling task management, inter-agent messaging, git context integration, runtime profiles, and monitoring dashboards.

Recommends that diet, exercise, and behavioral modification be included in all obesity management approaches for patients with a BMI of 25 kg/m2 or higher. Triggered when clinicians ask, 'What foundational non-pharmacologic therapy should I start for this overweight patient?' or 'Should I initiate lifestyle changes for a patient with BMI 26?'.

Store and query embeddings with metadata, vector and full-text search, and filtering. Integrates with LangChain and LlamaIndex for RAG and semantic search applications.

Trigger: CRO, conversion optimization, checkout friction, user dropoff audit, funnel dropoff. Scope: Diagnosing and auditing checkout and landing page conversion bottlenecks. Boundary: Excludes direct code edits, styling modifications, or analytics database setup.

Drive a Genie change test-first through the genie MCP tools, working entirely from the live image (no files). Use when adding behavior or fixing a bug in the image — anything where a test should lead.

Use when designing, building, or debugging a Model Context Protocol (MCP) server in Node/TypeScript. Triggers: stdio JSON-RPC handshake, tool descriptions as discovery surface, lazy startup vs eager catalog loading, telemetry placement, schema design for tool inputs (zod), tool naming conventions for discoverability, error handling that does not leak stack traces, MCP client compatibility (Claude Desktop, Claude Code, Cursor), local resource fetching, secrets and env var handling, distributing as npm + claude mcp add. NOT for MCP client implementation, MCP HTTP transport (different surface), Anthropic Agent SDK building, or non-MCP plugin systems.

Test and debug local web applications using Playwright browser automation, including UI verification, screenshot capture, and console log inspection.

Automate D2L Brightspace operations through Composio's toolkit via Rube MCP, including tool discovery, connection management, and task execution.

Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.

Automate Strava operations like fetching activities, managing connections, and executing bulk tasks through Composio's Strava toolkit via Rube MCP.

Monitor SLURM/PBS jobs and their logs. Use when the user asks to monitor, check, or watch a submitted job. Automatically detects running/pending jobs, tails logs, and reports errors.

Audits Kubernetes pods for container escape vectors by analyzing privileged mode, dangerous capabilities, host namespace sharing, and writable hostPath mounts using the Kubernetes Python client.

Use this skill when the user asks where to find specific information at fmcsa.dot.gov — the SAFER (Safety and Fitness Electronic Records System), Carrier Snapshot, Compliance Safety Accountability (CSA) data, PSP (Pre-Employment Screening Program), Clearinghouse, Unified Carrier Registration (UCR), MCS-150 update, complaints, DataQs, and the FMCSA Portal login. Reference fmcsa.dot.gov.

Migrate applications from Google AI Studio to Google Cloud Agent Platform, enabling enterprise features like IAM, billing, and SLAs.

Validate an AEM Edge Delivery Services sitemap.xml against actual site content, checking URL reachability, lastmod dates, and identifying missing or orphaned pages.

PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.

Write a markdown plan to .hermes/plans/; no execution.

Create, read, edit, template, and review Word .docx files.

跨 TypeScript、Python、Go 的健壮错误处理模式——涵盖类型化错误、错误边界、重试策略及优雅降级

Reviews a product document (PRD, spec, design brief) BEFORE implementation to surface holes — undefined edge cases, missing states, policy gaps — by attacking what the document is SILENT about (things unwritten, and things written only for the happy path). Acts as a strict "sign-off manager," ruling Approve / Conditional / Reject and producing a polite, forwardable question list. Works for planners/PMs (self-review before sharing), engineers (blocking questions before coding), and designers (screen states with no mockup). Use whenever the user wants a spec/PRD/plan/brief checked for readiness or gaps, or says "review this spec", "find holes in this PRD", "poke holes in this", "is this plan good to build?", "can I start implementing this?", "what states/edge cases am I missing?", "what should I ask the PM before coding?", "run devil", or pastes/links a planning document and asks whether it's ready to act on. Do NOT use it to: write or draft a new spec, summarize or translate a document, estimate/break down tic

Generate a new package or app in the monorepo following established project conventions

Evaluate codebase against ICP to identify gaps blocking first sales and retention

Reproduces failures, gathers evidence, tests hypotheses, fixes root causes, and adds regression coverage.

Resto tech — POS, menu digital, livraison, Uber Eats DZ, facturation restaurants

Retail tech — magasin connecté, stock, caisse, fidélisation, e-commerce omnicanal DZ

Outreach triggered by hiring signals that indicate need for agency services