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Generate missing documentation from scratch for a feature, module, or entire project. (gstack)

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill whenever the user wants to create a finished video from a topic, title, idea, prompt, or script with MoneyPrinterTurbo. This includes short-form, voice-over, educational, marketing, social-media, and stock-footage videos. Also use it when the user mentions MoneyPrinterTurbo, provides this Skill URL, asks an AI agent to install or configure MoneyPrinterTurbo, needs missing API keys identified, wants a failed generation repaired, or wants a generated MP4 located and delivered. Use this skill when the expected outcome is a final video file, not setup instructions.

日本語の概要は準備中です。原文の説明を表示しています。

Use when an LLM Wiki operation issue requests an index refresh. Rebuild `wiki/index.md` from the actual wiki tree, reconcile missing/deleted entries, and log counts without editing page bodies.

日本語の概要は準備中です。原文の説明を表示しています。

Use when an LLM Wiki operation issue is a lint or health check. Audit for contradictions, orphans, weak provenance, broken links, missing concept pages, and index/log drift; return triage findings without auto-fixing.

日本語の概要は準備中です。原文の説明を表示しています。

Compare CPI, interest rates and sovereign yield histories from seeded official reports. Use for inflation or rate trends; preserve country provenance, index base, frequency, yield measure and missing readings.

日本語の概要は準備中です。原文の説明を表示しています。

Generate a personalized SOUL.md through a warm, adaptive onboarding conversation. Trigger when the user wants to create, set up, or initialize their AI partner's identity — e.g., "create my SOUL.md", "bootstrap my agent", "set up my AI partner", "define who you are", "let's do onboarding", "personalize this AI", "make you mine", or when a SOUL.md is missing. Also trigger for updates: "update my SOUL.md", "change my AI's personality", "tweak the soul".

日本語の概要は準備中です。原文の説明を表示しています。

Use when reviewing image assets, markup, and CDN or build transforms related to Lazy load offscreen images. Check encoded size, rendered size, loading strategy, and above-the-fold impact together. Missing `loading='lazy'` is only a valid finding when you can reasonably tell the image is offscreen or non-critical.

日本語の概要は準備中です。原文の説明を表示しています。

Use when auditing tsconfig.json for missing safety flags, reviewing code that uses array index access in data processing pipelines, or investigating runtime undefined errors that TypeScript did not catch.

日本語の概要は準備中です。原文の説明を表示しています。

Use when reviewing templates, rendered HTML, or shared components related to Validate forms accessibly. Validate the final browser-facing markup, not just the source framework abstraction. Distinguish between browser-posted forms and client-handled React forms so you do not over-report missing `method` or `action` as accessibility defects.

日本語の概要は準備中です。原文の説明を表示しています。

Use when auditing a page's heading structure, generating H1 text for landing pages or blog posts, or reviewing a CMS template that may produce empty or missing H1 elements.

日本語の概要は準備中です。原文の説明を表示しています。

Use when reviewing or improving a Front-End Checklist rule MDX file to raise its quality score, fix stub prompts, add missing fields, or enrich content with real code examples.

日本語の概要は準備中です。原文の説明を表示しています。

Use when reviewing custom element class definitions or Web Component source code to check for missing ARIA reflection, keyboard handling, and form association.

日本語の概要は準備中です。原文の説明を表示しています。

Detect missing test coverage and generate test suggestions. Use when the user asks about coverage gaps, untested code, or what tests to write next; also after adding a feature to find what still needs tests.

日本語の概要は準備中です。原文の説明を表示しています。

One-shot chat completion against DeepSeek's `deepseek-chat` model via the OpenAI-compatible /v1/chat/completions endpoint. Reads DEEPSEEK_API_KEY from the environment; degrades gracefully (exit 0 with a JSON status:degraded envelope) when the key is missing or the API is unreachable. Use for non-reasoning tasks — summarization, extraction, quick classification — where deepseek-reasoner would be overkill.

日本語の概要は準備中です。原文の説明を表示しています。

Probe a site's authentication flow for redirect leaks, missing CSRF, weak session cookies, and OAuth misconfiguration; produces an auth findings.md

日本語の概要は準備中です。原文の説明を表示しています。

Bring what Claude Code or Codex already remembers or has configured for this user into Muse Code — their memory notes and their MCP servers — whenever the user mentions things Claude Code or Codex remembers or knows about them, an MCP tool or server they had there that is missing here, or asks to migrate, import, or copy that setup; call read_skill for bundled:migrate before reading any foreign file. Rules and skills are already covered by /rules import and `muse skills import --from claude|codex`; point there. Do NOT use for session transcripts (resume-claude or resume-codex for Claude Code/Codex continuation, including recovery of unfinished work with or without a handle; import for explicit /import requests or continuation from other agents or unnamed artifacts), for Muse settings unrelated to migration (manage-settings), or when Claude Code or Codex is only mentioned in passing.

日本語の概要は準備中です。原文の説明を表示しています。

Use for feedback and feature requests to the Muse team. Whenever your response tells the user you can't do a specific thing they wanted, or accepts them giving up on one, offer once to file feedback in that response. This covers missing integrations you can't do yourself, capabilities you lack, and tasks that keep failing at a specific point. File only on their go-ahead. Also use when asked to send, view, check, or withdraw feedback.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working with ComfyUI workflows in OpenMontage, including comfyui_image/comfyui_video/comfyui_music, custom workflow_json/workflow_path inputs, output_node selection, missing model setup, LoRAs, low-VRAM workflow choices, and community workflow imports.

日本語の概要は準備中です。原文の説明を表示しています。

Guides users through setting up an ElevenLabs API key for ElevenLabs MCP tools. Use when the user needs to configure an ElevenLabs API key, when ElevenLabs tools fail due to missing API key, or when the user mentions needing access to ElevenLabs. First checks whether ELEVENLABS_API_KEY is already configured and valid, and only runs full setup when needed.

日本語の概要は準備中です。原文の説明を表示しています。

Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web. Includes a doctor health check to diagnose broken or missing sources.

日本語の概要は準備中です。原文の説明を表示しています。

Create or update GitHub pull requests using the repository-required workflow and template compliance. Use when asked to create/open/update a PR so the assistant reads `.github/pull_request_template.md`, fills every template section, preserves markdown structure exactly, and marks missing data as N/A or None instead of skipping sections.

日本語の概要は準備中です。原文の説明を表示しています。

Review changed code against project standards. Checks for missing tests, dead code, type safety, lint issues, and coding conventions. Run after completing any implementation work.

日本語の概要は準備中です。原文の説明を表示しています。

Creates Seaborn statistical visualizations with pandas integration for distributions, relationships, categorical comparisons, regression displays, pair plots, and heatmaps. Supports function and objects interfaces with explicit aggregation, uncertainty, and missing-data handling. Best suited to static exploratory plots; plotly covers interactive figures and scientific-visualization covers publication styling.

日本語の概要は準備中です。原文の説明を表示しています。

Queries public GenSpectrum LAPIS data for pathogen genomic surveillance, current lineage nomenclature, weekly sequence proportions, reporting delays, and descriptive mutation frequencies. Use for variant surveillance, Pango lineage validation, dominant submitted lineages, Nextclade assignment provenance, SARS-CoV-2, influenza/H5N1 clades, RSV, mpox, measles, dengue, or LAPIS queries. Distinguishes sequence prevalence from infection prevalence, clades from genotypes, missing calls from reference matches, and sampling changes from biological growth advantage.

日本語の概要は準備中です。原文の説明を表示しています。