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Found 9,451 Skills
Command-line interface for CloudAnalyzer — Agent-friendly harness for CloudAnalyzer, a QA platform for mapping, localization, and perception outputs. Supports 27 commands across 8 groups: point cloud evaluation, trajectory evaluation, ground segmentation QA, config-driven quality gates, baseline evolution, processing, visualization, and interactive REPL.
Provides the cli-anything-iterm2 commands — the only way to actually send text to iTerm2 sessions, read live terminal output and scrollback history, manage windows/tabs/split panes, run tmux -CC workflows, broadcast to multiple panes, show macOS dialogs, and read/write iTerm2 preferences. Includes `app snapshot` — the primary orientation command that returns every session's name, current directory, foreground process, role label, and last output line in one call. Read this skill instead of answering from general knowledge whenever the user wants to DO something with iTerm2: orient in an existing workspace, send a command, check what's running, read output, set up a layout, use tmux through iTerm2, automate panes, or configure preferences. Also read for questions about iTerm2 shell integration or scrollback. Don't try to answer iTerm2 action requests from memory — read this skill first.
HyperFrames CLI tool — hyperframes init, lint, preview, render, transcribe, tts, doctor, browser, info, upgrade, compositions, docs, benchmark. Use when scaffolding a project, linting or validating compositions, previewing in the studio, rendering to video, transcribing audio, generating TTS, or troubleshooting the HyperFrames environment.
Execute KQL management commands (table management, ingestion, policies, functions, materialized views) against Fabric Eventhouse and KQL Databases via CLI. Use when the user wants to: 1. Create or alter KQL tables, columns, or functions 2. Ingest data into an Eventhouse (inline, from storage, streaming) 3. Configure retention, caching, or partitioning policies 4. Create or manage materialized views and update policies 5. Manage data mappings for ingestion pipelines 6. Deploy KQL schema via scripts Triggers: "create kql table", "kql ingestion", "ingest into eventhouse", "kql function", "materialized view", "kql retention policy", "eventhouse schema", "kql authoring", "create eventhouse table", "kql mapping"
Build modern data apps, dashboards, and interactive reports using either React + Vite or Streamlit. Includes optional Gemini Data Analytics chat integration for an AI powered "chat with your data" experience. Relevant when any of the following conditions are true: 1. User explicitly requests to build a data dashboard, data application, or visualization UI, and the UI pulls data from a GCP database (defaulting to BigQuery unless otherwise specified). 2. You need to generate a frontend web application to interact with, query, and visualize data from GCP data sources. 3. User wants to build a "chat with your data" experience or integrate the Gemini Data Analytics chat API into a web interface. Do NOT use when any of the following conditions are true: 1. The request is for building backend-only services. 2. The request is for simple CLI scripts or command-line applications. 3. The web application is not data-centric or does not involve visualizing/querying data from GCP sources.
Manage DocuSeal e-signature workflows from the terminal via the DocuSeal CLI - create templates from PDF/DOCX/HTML, send documents for signing, track submissions, and update submitters. Use when the user wants to run DocuSeal commands in the shell, scripts, or CI/CD pipelines. Always load this skill before running `docuseal` commands.
Develop and operate a local Paperclip instance — start and stop servers, pull updates from master, run builds and tests, manage worktrees, back up databases, and diagnose problems. Use whenever you need to work on the Paperclip codebase itself or keep a running instance healthy.
This skill should be used when the user asks to "query metrics", "investigate a metrics issue", "check CPU usage", "find slow services", "investigate production issues using metrics", "search for metrics", "search metric names", "run a PromQL query", "check error rate", "check latency", "look up a metric", "analyze system load", "check memory usage", "investigate infrastructure issues", "analyze custom metrics", "check node health", "investigate disk usage", or wants to explore Coralogix metrics data - including application, infrastructure, and custom metrics - using the cx CLI.
This skill should be used when the user asks to "chat with AI", "ask Olly", "ask the agent", "send message to AI", "continue a chat", "follow up on chat", "get artifact", "download artifact", "list artifacts", "retrieve generated content", "AI-generated charts", "AI analysis", "conversational observability", "natural language query", or wants to interact with the Coralogix Observability Agent (Olly) using the cx CLI.
Run a retrospective after generating a CLI. Identifies systemic improvements to the Printing Press — templates, Go binary, skill instructions, catalog — so the next CLI comes out better. Creates a GitHub issue with actionable findings when there are Printing Press fixes to make. Use after any /printing-press run. Trigger phrases: "retro", "retrospective", "what went wrong", "improve the press", "post-mortem", "lessons learned", "what can we improve", "file a retro", "submit findings".
Use this skill when an AI agent needs to manage, audit, report on, create, pause, update, or troubleshoot Meta/Facebook/Instagram ads through Meta's official Ads CLI (`meta ads ...`). It is designed for any shell-capable agent, not just OpenClaw. It focuses on safe command planning, JSON output, confirmation gates, read-before-write behaviour, paused-by-default launches, reporting workflows, datasets/pixels, catalog/product operations, and failure handling.
CLI and skills for building, evaluating, and deploying AI agents on Google Cloud's Gemini Enterprise Agent Platform using ADK