[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7B0GD7FSN72WCSZ16WEDH42":3,"skill-same:01M7B0GD7FSN72WCSZ16WEDH42":47},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":18,"linkOnly":19,"markdownContent":20,"markdownBody":21,"frontMatter":22,"refName":27,"commitSha":28,"skillDirectory":29,"forksCount":13,"repositoryHtmlUrl":30,"repositoryHomepageUrl":6,"ownerHtmlUrl":31,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":32,"install":33,"resources":46},"01M7B0GD7FSN72WCSZ16WEDH42","managing-python-dependencies",null,"Ensures proper Python dependency management, avoiding global `pip install` and\nadhering to project-specific tooling.\n\nUse this skill if any of the following are true:\n  1. Attempting to run `pip install {package_name}`.\n  2. Python packages or dependencies need to be added or modified.\n  3. Initiating a new Python project.\n  4. Creating a new notebook, even if just using BigQuery cells.\n  5. Generating Python code that includes `import` statements for third-party libraries.\n  6. Before executing Python scripts via the terminal to ensure the correct virtual environment is active.","Krishp091205\u002Fgemini-config","Krishp091205","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F307182548?v=4","01M7AXCYY4NQ9WQ7DCT3R5Q5S4","01M7AXCYYR7QFCQQ6BFRKD93YH",0,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FKrishp091205\u002Fgemini-config\u002Fblob\u002Fmain\u002Fskills\u002Fmanaging-python-dependencies\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: managing-python-dependencies\ndescription: |\n  Ensures proper Python dependency management, avoiding global `pip install` and\n  adhering to project-specific tooling.\n\n  Use this skill if any of the following are true:\n    1. Attempting to run `pip install {package_name}`.\n    2. Python packages or dependencies need to be added or modified.\n    3. Initiating a new Python project.\n    4. Creating a new notebook, even if just using BigQuery cells.\n    5. Generating Python code that includes `import` statements for third-party libraries.\n    6. Before executing Python scripts via the terminal to ensure the correct virtual environment is active.\nlicense: Apache-2.0\nmetadata:\n  version: v1\n  publisher: google\n---\n\n# Python Dependency Management Rule\n\n> [!CAUTION]\n>\n> **BEFORE any `pip install`**: You MUST first detect the project's existing\n> dependency manager and use it correctly. Do NOT override the project's\n> established tooling.\n\n## Dependency Manager Detection\n\nBefore installing ANY Python package, check the workspace for these files **in\npriority order**:\n\n1.  **Signal:** `uv.lock` or `pyproject.toml` with `[tool.uv]`\n    *   **Tool:** **uv**\n    *   **Install:** `uv add \u003Cpackage>`\n    *   **Setup:** `uv sync`\n2.  **Signal:** `pyproject.toml` with `[tool.poetry]`\n    *   **Tool:** **Poetry**\n    *   **Install:** `poetry add \u003Cpackage>`\n    *   **Setup:** `poetry install`\n3.  **Signal:** `Pipfile`\n    *   **Tool:** **Pipenv**\n    *   **Install:** `pipenv install \u003Cpackage>`\n    *   **Setup:** `pipenv install`\n4.  **Signal:** `environment.yml`\n    *   **Tool:** **Conda**\n    *   **Install:** `conda install \u003Cpackage>`\n    *   **Setup:** `conda env create -f environment.yml`\n5.  **Signal:** `requirements.txt` only\n    *   **Tool:** **venv + pip**\n    *   **Install:** `.venv\u002Fbin\u002Fpip install \u003Cpackage>`\n    *   **Setup:** `.venv\u002Fbin\u002Fpip install -r requirements.txt`\n6.  **Signal:** None of the above\n    *   **Tool:** **venv + pip** (default)\n    *   **Install:** `.venv\u002Fbin\u002Fpip install \u003Cpackage>`\n    *   **Setup:** `.venv\u002Fbin\u002Fpip install -r requirements.txt`\n\n## Default: venv + pip\n\nIf no dependency manager is detected, use **venv + pip + requirements.txt** as\nthe default:\n\n```bash\n# Initialize environment\npython3 -m venv .venv\n\n# Add dependencies\n.venv\u002Fbin\u002Fpip install \u003Cpackage>\n\n# Preserve state\n.venv\u002Fbin\u002Fpip freeze > requirements.txt\n```\n\n**Rules for venv + pip workflow:**\n\n-   Always use `.venv\u002Fbin\u002Fpip` or `.venv\u002Fbin\u002Fpython` (explicit path).\n-   After installing, run: `.venv\u002Fbin\u002Fpip freeze > requirements.txt`.\n-   When setting up: `.venv\u002Fbin\u002Fpip install -r requirements.txt`.\n\n## Prohibited\n\n-   **NEVER** run `pip install` globally\n-   **NEVER** override an existing dependency manager with a different one\n","# Python Dependency Management Rule\n\n> [!CAUTION]\n>\n> **BEFORE any `pip install`**: You MUST first detect the project's existing\n> dependency manager and use it correctly. Do NOT override the project's\n> established tooling.\n\n## Dependency Manager Detection\n\nBefore installing ANY Python package, check the workspace for these files **in\npriority order**:\n\n1.  **Signal:** `uv.lock` or `pyproject.toml` with `[tool.uv]`\n    *   **Tool:** **uv**\n    *   **Install:** `uv add \u003Cpackage>`\n    *   **Setup:** `uv sync`\n2.  **Signal:** `pyproject.toml` with `[tool.poetry]`\n    *   **Tool:** **Poetry**\n    *   **Install:** `poetry add \u003Cpackage>`\n    *   **Setup:** `poetry install`\n3.  **Signal:** `Pipfile`\n    *   **Tool:** **Pipenv**\n    *   **Install:** `pipenv install \u003Cpackage>`\n    *   **Setup:** `pipenv install`\n4.  **Signal:** `environment.yml`\n    *   **Tool:** **Conda**\n    *   **Install:** `conda install \u003Cpackage>`\n    *   **Setup:** `conda env create -f environment.yml`\n5.  **Signal:** `requirements.txt` only\n    *   **Tool:** **venv + pip**\n    *   **Install:** `.venv\u002Fbin\u002Fpip install \u003Cpackage>`\n    *   **Setup:** `.venv\u002Fbin\u002Fpip install -r requirements.txt`\n6.  **Signal:** None of the above\n    *   **Tool:** **venv + pip** (default)\n    *   **Install:** `.venv\u002Fbin\u002Fpip install \u003Cpackage>`\n    *   **Setup:** `.venv\u002Fbin\u002Fpip install -r requirements.txt`\n\n## Default: venv + pip\n\nIf no dependency manager is detected, use **venv + pip + requirements.txt** as\nthe default:\n\n```bash\n# Initialize environment\npython3 -m venv .venv\n\n# Add dependencies\n.venv\u002Fbin\u002Fpip install \u003Cpackage>\n\n# Preserve state\n.venv\u002Fbin\u002Fpip freeze > requirements.txt\n```\n\n**Rules for venv + pip workflow:**\n\n-   Always use `.venv\u002Fbin\u002Fpip` or `.venv\u002Fbin\u002Fpython` (explicit path).\n-   After installing, run: `.venv\u002Fbin\u002Fpip freeze > requirements.txt`.\n-   When setting up: `.venv\u002Fbin\u002Fpip install -r requirements.txt`.\n\n## Prohibited\n\n-   **NEVER** run `pip install` globally\n-   **NEVER** override an existing dependency manager with a different one\n",{"name":5,"license":14,"metadata":23,"description":26},{"version":24,"publisher":25},"v1","google","Ensures proper Python dependency management, avoiding global `pip install` and\nadhering to project-specific tooling.\n\nUse this skill if any of the following are true:\n  1. Attempting to run `pip install {package_name}`.\n  2. Python packages or dependencies need to be added or modified.\n  3. Initiating a new Python project.\n  4. Creating a new notebook, even if just using BigQuery cells.\n  5. Generating Python code that includes `import` statements for third-party libraries.\n  6. Before executing Python scripts via the terminal to ensure the correct virtual environment is active.\n","main","1f317365436456f9c1039c414a2f6426caabc74c","skills\u002Fmanaging-python-dependencies","https:\u002F\u002Fgithub.com\u002FKrishp091205\u002Fgemini-config","https:\u002F\u002Fgithub.com\u002FKrishp091205","2026-08-23 02:02:24",{"source":8,"skillName":5,"commands":34,"prompt":44,"zipAvailable":45},[35,38,41],{"tool":36,"command":37},"npx","npx skills add Krishp091205\u002Fgemini-config --skill managing-python-dependencies",{"tool":39,"command":40},"bunx","bunx skills add Krishp091205\u002Fgemini-config --skill managing-python-dependencies",{"tool":42,"command":43},"pnpm","pnpm dlx skills add Krishp091205\u002Fgemini-config --skill managing-python-dependencies","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FKrishp091205\u002Fgemini-config\u002Fblob\u002Fmain\u002Fskills\u002Fmanaging-python-dependencies\u002FSKILL.md",true,[],[48,55,62,69,76,83],{"skillNo":49,"name":50,"nameZh":6,"description":51,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":52,"categories":53,"keywords":54,"publishedAt":18},"01M7B0GYVAXB2M99PR4Z3N1WW0","skill-repair","Use this to fix and re-install agent skills that have failed installation.\nThis skill provides the necessary context and permissions to surgically update\nthe `manifest.json` after a fix has been applied.","https:\u002F\u002Fgithub.com\u002FKrishp091205\u002Fgemini-config\u002Fblob\u002Fmain\u002Fskills\u002Fskill-repair\u002FSKILL.md",[],[],{"skillNo":56,"name":57,"nameZh":6,"description":58,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":59,"categories":60,"keywords":61,"publishedAt":18},"01M7B0GQ2CKFX5P1DTV802XMAB","notebook-guidance","This skill guides the use of Jupyter notebooks for data analysis, exploration, and visualization, particularly with BigQuery. It outlines best practices for notebook execution and validation (supporting both cell-by-cell execution and full notebook generation depending on tool availability), library installation, and structuring notebooks for clarity. It also covers specific rules for data cleaning, plotting, and integrating with BigQuery SQL and machine learning workflows.\nRelevant when any of the following conditions are true:\n  1. The user request involves a data analysis, data exploration, data visualization, or data insights task that requires multiple steps, queries, or visualizations to answer.\n  2. The user explicitly requests a notebook (.ipynb).\n  3. You are creating, editing, or executing cells in a Jupyter notebook.\n  4. You need to query BigQuery from within a notebook. DO NOT use the Python BigQuery client library; instead, you MUST use the `%%bqsql` magics explained in this skill.","https:\u002F\u002Fgithub.com\u002FKrishp091205\u002Fgemini-config\u002Fblob\u002Fmain\u002Fskills\u002Fnotebook-guidance\u002FSKILL.md",[],[],{"skillNo":63,"name":64,"nameZh":6,"description":65,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":66,"categories":67,"keywords":68,"publishedAt":18},"01M7B0GJ1K1JE2K593JZT4CAY9","ml-best-practices","CRITICAL RULE: You MUST use this skill whenever the task involves any machine learning tasks or data analysis.\nUse this skill if the user's prompt or requirements mention any of the following:\n  * Clustering\n  * Classification\n  * Regression\n  * Time series forecasting\n  * Statistical testing\n  * Model comparison\n  * ML\n  * Data analysis\n\nSQL\u002FBigQuery ML HANDOFF: If the user requires a SQL solution, use this skill to dictate the ANALYSIS STEPS (e.g., markdown analysis cells, visualization logic), but defer to `bigquery` for all SQL syntax.","https:\u002F\u002Fgithub.com\u002FKrishp091205\u002Fgemini-config\u002Fblob\u002Fmain\u002Fskills\u002Fml-best-practices\u002FSKILL.md",[],[],{"skillNo":70,"name":71,"nameZh":6,"description":72,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":73,"categories":74,"keywords":75,"publishedAt":18},"01M7B0G6CC6JP6QTQGPSTBMJTX","google-cloud-storage-basics","Stores, retrieves, and manages data as objects in Cloud Storage (Google Cloud Storage, or GCS) buckets. Use when you need to interact with Cloud Storage — create or configure buckets, upload, download, stream, or transfer data, organize objects with folders, generate signed URLs, control access (IAM, ACLs, public access prevention), set storage classes and tiering (Standard, Nearline, Coldline, Archive), manage cost and lifecycle, protect data (versioning, encryption\u002FCMEK, retention and Bucket Lock, object holds, soft delete), host static websites, trigger Pub\u002FSub notifications on object changes, mount buckets as a file system (gcsfuse), or optimize storage performance at any scale. Covers the gcloud storage \u002F gsutil CLI, JSON and XML APIs, client libraries, Terraform, and Cloud Storage MCP servers. Don't use for block storage (Persistent Disk), data warehousing\u002Fanalytics (BigQuery), or databases (Cloud SQL, Spanner, Bigtable, Firestore).","https:\u002F\u002Fgithub.com\u002FKrishp091205\u002Fgemini-config\u002Fblob\u002Fmain\u002Fskills\u002Fgoogle-cloud-storage-basics\u002FSKILL.md",[],[],{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":80,"categories":81,"keywords":82,"publishedAt":18},"01M7B0G2DF32KW9A77S99QBZ4Q","gcs-security-assessment","Assesses security posture, evaluates risks, and checks SAIF compliance for Google Cloud Storage buckets or projects. Use when the user requests security scans, vulnerability checks, or SAIF assessments. Don't use when: The user is asking about non-GCS resources (Compute Engine, GKE, etc.), investigating a live production outage, or asking general security questions not tied to a specific project or bucket.","https:\u002F\u002Fgithub.com\u002FKrishp091205\u002Fgemini-config\u002Fblob\u002Fmain\u002Fskills\u002Fgcs-security-assessment\u002FSKILL.md",[],[],{"skillNo":84,"name":85,"nameZh":6,"description":86,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":87,"categories":88,"keywords":89,"publishedAt":18},"01M7B0FY3VQB96PPWN3ACDTZTW","gcp-spark","Develops and executes Spark code on Dataproc Clusters and Serverless.\nReads and writes data using BigLake Iceberg catalogs, BigQuery and Spanner.\nDebugs execution failures.\nUse when:\n- Writing Spark ETL pipelines on GCP.\n- Training or running inference with ML models with spark on GCP.\n- Managing Spark clusters, jobs, batches, and interactive sessions.\nDon't use when:\n- Writing generic Python scripts that don't use Spark.\n- Performing simple SQL queries that can be done directly in BigQuery.","https:\u002F\u002Fgithub.com\u002FKrishp091205\u002Fgemini-config\u002Fblob\u002Fmain\u002Fskills\u002Fgcp-spark\u002FSKILL.md",[],[]]