jjmartres

Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md. Trigger: /caveman:compress <filepath> or "compress memory file"

Apply Google Style documentation standards to Python, Go, and Terraform code. Use when writing or reviewing code that needs docstrings/comments, when asked to "document this code", "add docstrings", "follow Google Style", or when improving code documentation quality. Supports Python docstrings, Go comments, and Terraform variable/output descriptions. Enforces consistent, professional documentation standards.

Use this skill when you need to search Datadog logs, query metrics, tail logs in real-time, trace distributed requests, investigate errors, compare time periods, find log patterns, check service health, or export observability data.

Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.

Expert guidance for using the GitLab CLI (glab) to manage GitLab issues, merge requests, CI/CD pipelines, repositories, and other GitLab operations from the command line. Use this skill when the user needs to interact with GitLab resources or perform GitLab workflows.

Use this skill whenever the user wants to make HTTP requests, test APIs, call REST endpoints, debug web services, or interact with any HTTP/HTTPS API using the HTTPie CLI tool (`http` command). Trigger this skill for any request involving: sending GET/POST/PUT/PATCH/DELETE requests, testing API endpoints, sending JSON or form data, working with authentication (Bearer token, Basic auth), uploading files, downloading responses, managing sessions, inspecting request/response headers, or piping HTTP calls in shell scripts. Use this skill even when the user just says "call the API", "send a request", "hit this endpoint", or "test with httpie" � don't wait for explicit httpie mention.

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Use when the user mentions Jira issues (e.g., "PROJ-123"), asks about tickets, wants to create/view/update issues, check sprint status, or manage their Jira workflow. Triggers on keywords like "jira", "issue", "ticket", "sprint", "backlog", or issue key patterns.

Generates a complete, polished HTML documentation page, a processing checklist, an AstroBin post JSON, a PixInsight process icon set (XPSM), AND a ready-to-paste PixInsight project Description field for a deep-sky object (DSO) astrophotography project. Use this skill whenever the user mentions astrophotography, a DSO name (NGC, IC, Messier, Sharpless, etc.), wants to document an imaging session, mentions PixInsight project documentation, wants to create an observation report, or asks to generate a page/document for a nebula, galaxy, cluster, or other deep-sky target. Triggers on phrases like "create doc for NGC XXXX", "generate DSO page", "document my session on", "make a PixInsight doc for", "astro documentation page", "pixinsight project description", "description field pixinsight", "processing checklist", "workflow checklist", "astrobin", "astrobin post", "astrobin upload", "process icons", "xpsm", "pixinsight icons". Always use this skill — not a generic HTML generator — when the subject is a deep-sky obj

Apply Google Style documentation standards to Python, Go, TypeScript, and Terraform code. Use when writing or reviewing code that needs docstrings/comments/JSDoc, when asked to "document this code", "add docstrings", "follow Google Style", or when improving code documentation quality. Supports Python docstrings, Go comments, TypeScript JSDoc, and Terraform variable/output descriptions. Enforces consistent, professional documentation standards.

Generate comprehensive, professional project documentation structures including README, ARCHITECTURE, USER_GUIDE, DEVELOPER_GUIDE, and CONTRIBUTING files. Use when the user requests project documentation creation, asks to "document a project", needs standard documentation files, or wants to set up docs for a new repository. Adapts to Python/Go projects and OpenSource/internal contexts.

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.

Use this skill whenever the user wants to install, configure, or use asdf (asdf-vm), the universal version manager. Trigger for any mention of asdf, .tool-versions files, managing runtime versions, switching between versions of Node.js, Python, Ruby, Go, Terraform, kubectl, Java, Erlang, Elixir, or any other tool managed by asdf. Also trigger when migrating from nvm, pyenv, rbenv, goenv, tfenv, or similar single-language version managers. Use this skill for help with asdf plugins, asdf install, asdf set/global/local, troubleshooting shims, Fish/Bash/Zsh shell configuration, and multi-project version isolation workflows.

Programming guide for Reachy Mini robot using Python SDK v1.8.0 and REST API. Use when controlling Reachy Mini robots, programming movements (head/antennas/body), accessing sensors (camera/microphone/IMU), recording motions, building AI applications, deploying to Hugging Face, or using the daemon REST API. Covers SDK patterns, coordinate systems, interpolation methods, app management, and OpenAPI client generation.