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Install the CARLA Python client into a chosen Python environment using bundled packages or PyPI. The skill checks existing installations, selects a suitable package, and verifies imports and version compatibility with a reachable simulator.
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Review and install community skills from monitored registries. Check sources, licenses, permissions, and quality; display the full SKILL.md and findings; then install and record the result only after explicit user approval.
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Find and install reusable HyperFrames blocks and effect components, then integrate them into an existing composition. Configure block timing and layer order, merge component HTML, CSS, and JavaScript, and adjust installation paths.
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Install bioinformatics tools for ENCODE data analysis. Covers CLI tools (BWA, STAR, samtools, MACS2), R/Bioconductor packages (DESeq2, Seurat, ChIPseeker), Python packages (Scanpy, deeptools), and Nextflow pipeline infrastructure. Generates conda environments, R install scripts, and Python requirements. Use when the user needs to set up a bioinformatics workstation, install tools for a specific assay, create reproducible environments, or troubleshoot dependency issues. Trigger on: install tools, set up environment, conda create, bioinformatics setup, install R packages, install Bioconductor, install pipeline tools.
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Install Port Daddy's bounded interactive coordination hooks ("tentacles", from the Giant Squid Harness) into the INTERACTIVE sessions of agentic coding CLIs (Claude Code, Codex, Gemini, Antigravity/agy) by auto-detecting which CLIs are installed and writing PER-PROJECT hook config behind a runtime gate, so coordination fires only inside a Port Daddy project while the daemon is running — never machine- wide-always-on. Use when the user says "install port daddy hooks", "agent CLI hooks", "interactive session hooks", "make coordination hooks fire in interactive sessions", "codex/gemini/agy hooks", or "auto-detect agent CLIs". NOT for generic software/package installation; NOT for installing the Port Daddy daemon or `pd` CLI itself (delegate to the `port-daddy` skill / `pd setup`); NOT for MCP server setup (delegate to `pd mcp install`); NOT for authoring new skills (delegate to `skill-architect` / `skill-creator`); NOT for editing the tentacle scripts themselves (owned by the Giant Squid Harness program; this installer layer is pd-adr-090).
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Navigate ECC by checking its current files to find suitable skills, commands, and configuration options. Get focused guidance on installation, reset procedures, project setup, and troubleshooting duplicate installs, with concrete files and next steps to inspect.
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Find agent skills for installed coding tools such as Claude Code and Codex. Use OmniRoute to detect available tools, review relevant GitHub matches, and guide installation into each tool’s skill directory.
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Find reusable visual effects, charts, titles, and other video elements, then install and integrate them into HyperFrames compositions. It explains how to place standalone scenes on a timeline and merge smaller effect snippets into existing HTML.
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Manage Codewhale skills from GitHub or local folders using native commands. List, install, update, activate, or remove skills, create a starter structure, and inspect community content before recommending trust for script and tool use.
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Install Scenic, a language for describing scenarios with randomized conditions, into the Python environment used by CARLA. Check command-line tools and version compatibility, optionally download example scenarios and map assets, and save the installation paths.
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Install workspace skills from curated sources or GitHub, including bundled scripts, references, and assets. Preview a GitHub import, adapt its metadata to the workspace format, and load the installed skill immediately within the same run.
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Claude Code/Codexへlocal repositoryの全pluginをcwd非依存でuser installしたいとき、またはCodexへmerge済みGit refから単独installしたいときに、marketplace登録・install・receipt検証へ使う。
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Check whether a web app is ready for PWA installation, which lets users install it like an app. Review HTTPS, app settings, icons, and offline responses, and identify missing or inconsistent configuration.
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Set up a Python environment inside the project and install its packages. Follow existing environment tools when present, avoid changing the system Python, and provide commands that work from a fresh shell.
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Find and install command-line tools that let AI agents operate professional software. Search by task or category, check which workflow capabilities are available locally, and install the specific tools needed for a multi-tool project.
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Find agent skills on ClawHub, a public skill registry, using everyday language. Install selected skills into the nanobot workspace, review installed skills, and update them together through command-line tools.
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Builds and installs Codewhale with a source revision identifier, then verifies the installed version in a fresh shell. It guides hands-on runtime checks for interface behavior, routing, approvals, and other changes that automated tests may miss.
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Manage OpenViking skills through the ov skills command line. It guides searching, installation, inspection, updates, and removal, plus local format validation, with checks for installation results and the source recorded for each skill.
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Set up a new iii backend from engine installation to a working HTTP endpoint. Guides project creation, SDK installation, a first worker in TypeScript, Python, or Rust, and adding existing workers.
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Manage KubeSphere’s Traefik-based Gateway API extension for external access to applications. Install, upgrade, or remove it across selected clusters, and inspect GatewayProxy resources, which manage proxy instances, to investigate deployment failures and unhealthy gateways.
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Install or remove memU long-term memory for the agent in use. The skill selects the host-specific guide, configures scheduled memory recording and retrieval before answers, and verifies the setup with local or cloud storage.
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Set up ScenarioRunner, CARLA’s scenario engine, with a branch matched to your simulator version. Install dependencies, configure Python search paths, and verify imports to address setup failures before running scenarios.
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Prepare an isolated Python environment for SageMaker deployments and AWS automation. The skill selects a supported Python version, installs current AWS packages, and checks versions so installation and execution use the same environment.
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Validate Claude Ads data contracts, scoring inputs, run outputs, installation procedures, and release readiness. Return machine-readable pass or fail results with evidence, the most urgent blocker, and recovery steps, while checking source freshness and safe removal boundaries.
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