Skills directory · page 29

Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.

Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.

This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic recommendations that inform computational approach decisions such as whether to use parallel processing (joblib, multiprocessing), out-of-core computing (Dask, Zarr), GPU acceleration (PyTorch, JAX), or memory-efficient strategies. Use this skill before running analyses, training models, processing large datasets, or any task where resource constraints matter.

CLI/Python toolkit for rapid bioinformatics queries. Preferred for quick BLAST searches. Access to 20+ databases: gene info (Ensembl/UniProt), AlphaFold, ARCHS4, Enrichr, OpenTargets, COSMIC, genome downloads. For advanced BLAST/batch processing, use biopython. For multi-database integration, use bioservices.

Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in.

Inspect GitHub PR checks with gh, pull failing GitHub Actions logs, summarize failure context, then create a fix plan and implement after user approval. Use when a user asks to debug or fix failing PR CI/CD checks on GitHub Actions and wants a plan + code changes; for external checks (e.g., Buildkite), only report the details URL and mark them out of scope.

Load when deciding whether to use gh stack or working on dependent, stacked GitHub pull requests

Open-ended web search and X/Twitter search through a local ghc-proxy (OpenAI-compatible Responses API). Use when you need to find something on the web and do not already have a URL, or when you need posts from X/Twitter. Fetch pages directly when you already have the URL; prefer a documentation MCP (e.g. context7) for library/API docs.

Turn source material (notes, transcripts, outlines) into authentic, human-sounding writing such as newsletters, articles, social posts and emails, using voice transformation and AI-pattern detection. Use when the user asks you to ghostwrite or turn material into a finished written piece.

Design a scheduled commit/push pipeline for a repo the owner edits by hand: ordered preflight gates, a scope allowlist and size cap, a staged secret scan, rebase-then-push, heartbeat and deduped alerts. Use when a notes or research repo must sync on a schedule, or when an existing auto-sync needs a safety review. Not for a repo with a review/PR workflow, and not for a one-off commit you can make yourself.

Generate descriptive commit messages by analyzing git diffs. Use when the user asks for help writing commit messages or reviewing staged changes.

Git Context Controller (GCC) - Manages agent memory as a versioned file system under .GCC/. This skill should be used when working on multi-step projects that benefit from structured memory persistence, milestone tracking, branching for alternative approaches, and cross-session context recovery. Triggers on /gcc commands or natural language like 'commit this progress', 'branch to try an alternative', 'merge results', 'recover context'.

Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.

Stage, commit, and push git changes with conventional commit messages. Use when user wants to commit and push changes, mentions pushing to remote, or asks to save and push their work. Also activates when user says "push changes", "commit and push", "push this", "push to github", or similar git workflow requests.

Git workflow patterns including branching strategies, commit conventions, keeping history clean and readable, tidying local commits before merging, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes. Use when choosing a branching strategy, writing commit conventions, cleaning up history before a pull request, deciding merge versus rebase, or resolving conflicts.

Use when running several branches or agents in parallel on one repo. Creates worktrees with isolated ports and env via worktree_manager.py and removes stale ones with worktree_cleanup.py.

Applies commit and PR conventions, then polls review bots and CI until the PR can merge. Use when the user commits, opens a PR or handles review feedback. Not for judging a diff.

Use when the user wants to create, generate, or set up a GitHub Actions workflow. Handles CI/CD pipelines, testing, deployment, linting, security scanning, release automation, Docker builds, scheduled tasks, and any custom workflow for any language or framework.

Production-ready GitHub Actions workflow patterns for testing, building, and deploying applications.

Automate GitHub repositories, issues, pull requests, branches, CI/CD, and permissions via Rube MCP (Composio). Manage code workflows, review PRs, search code, and handle deployments programmatically.

Convert raw notes, error logs, voice dictation, or screenshots into crisp GitHub-flavored markdown issue reports. Use when the user pastes bug info, error messages, or informal descriptions and wants a structured GitHub issue. Supports images/GIFs for visual evidence.

GitHub 仓库操作、自动化与管理。使用 gh CLI 进行问题分类、PR 管理、CI/CD 操作、发布管理和安全监控。当用户想要管理 GitHub 问题、PR、CI 状态、发布、贡献者、过期项目或任何超出简单 git 命令的 GitHub 操作任务时使用。

GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.

Prepare a GitHub pull request from a feature branch — branch hygiene, commit shape, title/body, verification notes, screenshots for UI work, and replies to review comments.

Automate GitHub workflows with AI assistance. Includes PR reviews, issue triage, CI/CD integration, and Git operations. Use when automating GitHub workflows, setting up PR review automation, creating GitHub Actions, or triaging issues.

Complete guide to implementing GitOps workflows with ArgoCD and Flux for automated Kubernetes deployments.

Plans, creates, and configures production-ready Google Kubernetes Engine (GKE) clusters using the golden path Autopilot configuration. Covers networking, security, observability, scaling, cost optimization, and AI/ML inference on GKE.

Scaffold and standardize any Glee-fully child repository (Toolbox, Tool, or Tool-ette tier). When run from within a child repo, spawns the canonical folder/file structure with pre-populated Glee-fully brand payload, tone overlays, persona data, and governance stubs — ready to fill with entity- specific content. Use when creating a new child repo, auditing an existing one for missing structure, or migrating content from ChatGPT or Notion into the repo. Triggers on: "scaffold this repo", "standardize this repo", "create the folder structure", "set up the glee-fully structure", "run the repo standardizer", "apply the glee-fully template".

A tool for creating and managing Garry's Mod addons, including Lua scripting, content creation, and addon packaging. Use when: developing new addons, writing Lua scripts for GMod, organizing addon files, or when user mentions Garry's Mod, GMod, Lua scripting, or addon development.

Land a written, machine-checkable increment in a repo end to end — one goal contract, one fresh authoring-agent run per stage, gates the operator re-runs, a scripted merge gate, and a durable stage ledger so a later session can resume in three commands. Use when an increment is delegated end to end, including the merge. Do not use for one-line fixes, exploration with no acceptance criteria, or work no machine can check (that is a conversation, not a delivery).

Go-specific design patterns and best practices including functional options, small interfaces, dependency injection, concurrency patterns, error handling, and package organization. Use when working with Go code to apply idiomatic Go patterns.

İdiomatic Go desenler, en iyi uygulamalar ve sağlam, verimli ve bakımı kolay Go uygulamaları oluşturmak için konvansiyonlar.

Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications. Use when writing or reviewing Go code and idiomatic structure or conventions are in question.

Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.

Patrones idiomáticos de Go, buenas prácticas y convenciones para construir aplicaciones Go robustas, eficientes y mantenibles.

Master Go 1.21+ with modern patterns, advanced concurrency, performance optimization, and production-ready microservices.

Go testing best practices including table-driven tests, test helpers, benchmarking, race detection, coverage analysis, and integration testing patterns. Use when writing or improving Go tests.

Table-driven testler, subtestler, benchmark'lar, fuzzing ve test coverage içeren Go test desenleri. TDD metodolojisi ile idiomatic Go uygulamalarını takip eder.

Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.

Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices. Use when writing Go tests — table-driven cases, subtests, benchmarks, fuzzing, or coverage.

Patrones de pruebas Go incluyendo pruebas basadas en tablas, subpruebas, benchmarks, fuzzing y cobertura de código. Sigue la metodología TDD con prácticas idiomáticas de Go.

테이블 주도 테스트, 서브테스트, 벤치마크, 퍼징, 테스트 커버리지를 포함한 Go 테스팅 패턴. 관용적 Go 관행과 함께 TDD 방법론을 따릅니다.

Analyze Google Analytics data, review website performance metrics, identify traffic patterns, and suggest data-driven improvements. Use when the user asks about analytics, website metrics, traffic analysis, conversion rates, user behavior, or performance optimization.

Provides expert guidance on authenticating and authorizing to Google Cloud services and APIs, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.

Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs, NAT, firewall, or threat logs, querying latency and throughput metrics, or running Connectivity Tests for path diagnostics.

Guides developers through their first steps on Google Cloud, covering account creation, billing setup, project management, CLI installation, and deploying a first resource.

Generates cost optimization guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF). Use to evaluate a workload, identify cost requirements and constraints, and provide actionable recommendations for building cost-efficient workloads on Google Cloud.

Generates reliability-focused guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework. Use to evaluate a workload, identify reliability requirements, and provide actionable recommendations for building resilient, highly available systems.

Generates security-focused guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF). Use to evaluate a workload, identify security requirements, and provide actionable recommendations for IAM, network security, data protection, and operational security.

Use for Google Workspace admin or automation from the gws CLI (Gmail, Drive, Sheets, Calendar, Docs, Chat, Tasks). Sets up auth with auth_setup_guide.py, diagnoses with gws_doctor.py, runs recipes with gws_recipe_runner.py and audits security with workspace_audit.py.