Results for “e-e-a-t”

Execute Kusto queries against Log Analytics workspaces and query metrics from Azure resources using the Azure Monitor Query SDK for Java.

Automates macOS UI via a CLI: capture screens, inspect and target UI elements, drive mouse and keyboard input, and manage apps, windows, menus, and dialogs.

Detect and exploit Broken Object Level Authorization (BOLA) and Insecure Direct Object Reference (IDOR) vulnerabilities in APIs and web applications.

Conversion Rate Optimization auditing for landing pages, signup flows, checkout funnels, forms, and CTAs. Identifies friction points, runs heuristic evaluations, produces prioritized recommendations using ICE/PIE frameworks. Use when the user asks about conversion optimization, funnel analysis, landing page audits, form optimization, CTA testing, or checkout improvement.

Address Codex review comments on an open PR, re-run thermo-nuclear-code-quality-review, sync with the base branch, and push the updates. Use after a Codex (or human) review has landed on a PR you opened — the skill resolves each comment in code, marks the GitHub review thread resolved, then rebases/merges any new base-branch commits before pushing.

Delegates a coding task to pi (dev/pi), a minimal terminal coding harness. This skill should be used when the user asks to "use pi", "run pi", "delegate to pi", "let pi handle this", "ask pi to", "have pi do", or invokes /pi:delegate. It bridges the current Claude Code context to the pi CLI, passing relevant files, git state, and the task description for execution by the pi-agent.

Register a deferred decision in the debt registry. Trigger by judgment, not a marker scan, whenever a future reader would ask "why this way?": an unmade decision, stub, loosened type, bypassed check, swallowed error, a default picked "for now", or a TODO/FIXME/HACK/XXX marker. Trigger immediately whenever you defer work, or when the user invokes $add. Over-register freely; the developer drops with "drop A", "drop A,C", or "drop all".

飞书邮箱 — draft, compose, send, reply, forward, read, and search emails; manage drafts, folders, labels, contacts, and attachments. Use when user mentions 起草邮件, 写一封邮件, 拟邮件, 草稿, 发通知邮件, 发送邮件, 发邮件, 回复邮件, 转发邮件, 查看邮件, 看邮件, 读邮件, 搜索邮件, 查邮件, 收件箱, 邮件会话, 编辑草稿, 管理草稿, 下载附件, 邮件文件夹, 邮件标签, 邮件联系人, 监听新邮件, draft, compose, send email, reply, forward, inbox, mail thread.

Manage Arize AI Observability and Evaluation resources on Azure using the .NET SDK. Create, read, update, and delete Arize organizations via Azure Marketplace.

Turn a target account list into a real account-based play, not a spray. It tiers the accounts, sets the research angle per tier, builds the multi-thread across marketing and sales, and orchestrates the touches so the account feels one coordinated motion instead of a rep and a marketer working past each other. Built for B2B revenue teams, customizable to your CRM and your channels. Trigger on "build an ABM play", "account-based plan for this list", "how do I run ABM on these accounts", "tier my target list", "coordinate marketing and sales on these accounts", or any account-based planning request.

Requires python3, and AISA_API_KEY. Uses the supplied AISA_API_KEY to send requests to https://api.aisa.one. Native-first ClawHub plugin for `market`. Ships the packaged AIsa skill with an `openclaw.plugin.json` manifest and a Claude-compatible bundle fallback. Query real-time and historical financial data across equities and crypto—prices, market moves, metrics, and trends for analysis, alerts, and reporting. Use when: the user needs market data, stock analysis, watchlists, or portfolio workflows.

Econometrics skill for OLS regression and linear models. Activates when the user asks about: "run OLS", "linear regression", "ordinary least squares", "interpret regression results", "heteroskedasticity", "multicollinearity", "regression assumptions", "robust standard errors", "GLS", "WLS", "fit a regression model", "check regression diagnostics", "OLS假设", "最小二乘法", "线性回归", "回归系数", "残差检验", "异方差", "多重共线性", "普通最小二乘", "稳健标准误", "回归诊断"

Agent wallet, identity, and paid tools in one package. Register an agent, fund it via Stripe or USDC, then use the balance for web search, AI image generation, AI video generation, AI music creation, X/Twitter search, email send/receive, SMS and voice calls, contacts management, and 100+ LLM models. The funding and identity layer for autonomous agents that need to spend money, send messages, make phone calls, or call paid APIs.

Scan codebase and git history for leaked secrets — API keys, tokens, passwords, private keys. Uses whispers-style regex patterns + gitleaks. Run as /leak-check before any git push. Alerts on Claude API keys, GitHub tokens, AWS credentials, and generic high-entropy strings.

Audit and fix SEO for any web app. Use when asked to "improve SEO", "add meta tags", "fix search ranking", "add structured data", "sitemap", "canonical URLs", "Open Graph", "Google indexing", "rich results", "SEO audit", or "why is my site not ranking".

Generate a Startup Canvas combining Product Strategy (9 sections) and Business Model (costs + revenue) for a new product. An alternative to BMC and Lean Canvas that separates strategy from business model. Use when launching a new product or evaluating a startup concept.

| Use when starting a chain from a GitHub issue — turning an issue URL or number into a triaged, planned, dispatched, and reviewed pull request. Classifies the thread (bug → root-cause discipline, feature → plan chain, question → drafted reply), synthesizes a spec from the issue's own acceptance criteria, then runs the standard chain with a PR exit. Trigger with /hyperflow:issue, "work on issue #N", "fix this issue <url>", "implement this issue", "triage issue #N and raise a PR".

Publish, unpublish, replicate, activate, or deactivate content on AEM 6.5 LTS publish instances using Quick Publish, Manage Publication, tree activation, package replication, workflow-based approval, scheduled activation, or the Replication API.

Automates X (Twitter) DM workflows: scan inbox, read conversations, generate persona-based replies, and send messages. Also supports searching users and starting new conversations with rate control and E2E passcode unlock.

Provides a catalog of cinematic transition techniques (zoom-through, cut-the-curve, waterfall cut, etc.) with GSAP parameters for velocity-matched seams and in-scene motion.

Conduct systematic access reviews and certifications to ensure users have appropriate access rights aligned with their roles, covering review campaign design, reviewer selection, risk-based prioritization, and remediation tracking for compliance with SOX, HIPAA, and PCI DSS.

Write a freelance-marketplace bid for a chosen gig — detects the client's required "secret word", maps the job to a service the brand sells, and drafts a tailored cover letter plus a 60-second VSL (video sales letter) script, written back onto the gig's Notion row. On-demand per gig. The Write phase of the Inbound Gig Engine.

Recommends an inference runtime and memory-related launch flags for LLM/VLM workloads on NVIDIA Jetson devices, based on a live memory audit snapshot.

Code review is time-consuming and inconsistent. Reviewers miss security issues, overlook edge cases, or focus on style over substance. Meanwhile, AI agents catch these mechanical issues instantly but can't judge business logic correctness, UX decisions, or architectural fit.

Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.

This skill should be used when the user asks to "buy NFT", "purchase NFT", "OpenSea", "NFT collection", "view my NFTs", "NFT holdings", "mint NFT", "NFT listings", or any NFT-related operation. Provides guidance on browsing, purchasing, and managing NFTs.

Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.

Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.

AI Agent personality diagnosis and configuration system based on MBTI framework. Use when users want to (1) test/diagnose an Agent's personality type, (2) understand the gap between Agent's actual personality and user's desired personality, (3) generate configuration recommendations to adjust Agent behavior, (4) customize Agent's communication style, proactivity, reasoning approach, or execution patterns. Supports both free tier (quick assessment) and premium tier (full 93-question assessment with detailed diagnostics).

Simulator.Company files & attachments specialist. Use when the user wants to upload a file, attach a document/image to an actor or comment, list/rename/detach workspace files. Activate when the user says "upload a file", "attach this document", "add an attachment", "rename the file", "detach the file", "list workspace files", "завантаж файл", "прикріпи файл/документ", "відкріпи вкладення", "загрузи файл", "прикрепи документ". For setting an actor's picture/avatar use the `uploadActorPicture` engine tool; for comments that carry files use `simulator-reactions`.

Trains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies. Use when training models >1B parameters, need maximum GPU efficiency (47% MFU on H100), or require tensor/pipeline/sequence/context/expert parallelism. Production-ready framework used for Nemotron, LLaMA, DeepSeek.

Converts video, audio, or images into colored ASCII art videos (MP4/GIF) with generative effects, audio-reactive visuals, and text overlays.

Audit service accounts across enterprise infrastructure to identify orphaned, over-privileged, and non-compliant accounts, covering Active Directory, cloud platforms, databases, and applications.

Document architectural decisions in standardized ADR format. This skill should be used when making significant technical decisions, choosing between approaches, establishing patterns, or when other skills (create-plan, implement-plan, brainstorm) identify decisions that need documentation. Triggers on "document decision", "create ADR", "architectural decision", or automatically when invoked by other skills during planning and implementation.

Prepare meeting materials by gathering context from Notion, drafting agendas and pre-reads, and enriching with Codex research.

Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend.