Use the LLM Wiki plugin tools to maintain a cited local company wiki.
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。
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概要と使いどころ
Use the LLM Wiki plugin tools to maintain a cited local company wiki.
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。
Produce QA acceptance criteria and a manual validation plan for a feature change — golden path, edge cases, error states, performance limits, and explicit pass/fail evidence.
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。
Give a structured product design critique — user job clarity, hierarchy, affordance, error states, accessibility, and consistency — focused on what to change, in what order, and why.
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 agent company packages that conform to agentcompanies/v1. Use when asked to create a company, scaffold an agent team, hire agents, or turn a repo/skills collection into a company package.
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。
Write a release announcement — changelog, blog post, in-app note, or social post — that leads with user impact, names the audience, and includes upgrade/migration steps without filler.
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 your assigned AgentMail inbox to read email tasks, explicitly send or reply, and check delivery. Provided automatically by your inbox assignment.
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。
Plan a weekly editorial calendar by mapping company goals to publishable topics, owners, status, and verification notes.
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。
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.
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。
Drive a real browser to inspect or interact with a web page or app — navigate, take screenshots, read console and network, fill simple forms — for verification tasks, not unattended automation.
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。
Audit README, SPEC, and PRODUCT docs against recent git history for drift and make minimal PR-ready edits. Use when asked to review docs for accuracy, after major feature merges, or on a schedule.
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。
Keep project docs aligned with recent code and feature changes — detect drift, update affected pages, and add release-relevant notes without rewriting unchanged 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。
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。
Write user-facing comments, plans, and documents in ASD-STE100 Simplified Technical English — short, unambiguous sentences with approved words and one meaning each — so readers understand them the first time.
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。
Produce low-fidelity black-and-white UI wireframes as SVGs or viewer pages. Use when asked to wireframe, sketch a screen, draft a layout, make a low-fi mockup, or publish wireframes.
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。
Quietly suggest a concrete improvement after observing material, generalizable friction in agent work. Submit proactively without permission, preview, or announcement, then continue the primary task.
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。
Short-form video generation skill — 3-10 second clips for product reveals, motion teasers, ambient loops. Defaults to Seedance 2 but works the same with Kling 3 / 4, Veo 3 or Sora 2. Output is one MP4 saved to the project folder. When the workspace also ships an interactive-video / hyperframes skill, prefer composing several short shots into a single timeline rather than one long monolithic clip.
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。
YouTube clip generation and editing with automated workflows — pull source video, slice highlights, add captions, and export.
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。
Capture a general website/URL and turn it into a HyperFrames video (site tour, showcase, or social clip from the site's own visuals). Uses headless Chrome screenshots + brand assets. Use when intent is general — portfolio/blog/landing-page showcase or social clip from the site. NOT for: product/SaaS launch or promo (→ /product-launch-video, even from a URL); topic explainer with no site (→ /faceless-explainer); GitHub PR (→ /pr-to-video); adding captions to existing video (→ /embedded-captions); short unnarrated page-highlight motion graphic (→ /motion-graphics). Unclear launch-vs-general-site? Ask one question or start at /hyperframes.
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 and conversationally edit short videos with Google Gemini Omni Flash (`gemini-omni-flash-preview`). Use when: (1) iterating on a clip with natural-language edits instead of regenerating ("make the phone invisible, keep everything else the same"), (2) generating 3-10s 720p clips with synthesized audio, rendered on-screen text, or timecoded beats, (3) binding reference images to roles with <FIRST_FRAME>/<IMAGE_REF_N> prompt tags, (4) editing an existing uploaded video. Accessed via the `gemini_omni_video` tool using the project's GEMINI_API_KEY/GOOGLE_API_KEY — the same key as Imagen and Google TTS.
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。
OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
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。
Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.
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。
Mentor Swedish language learners by selecting YouTube video clips and podcast episodes by CEFR level and skill (listening, reading, writing, speaking), and building a simple learning path. Use when the user asks about a Swedish learning path, YouTube clips or podcasts for Swedish, SFI videos, level assessment for svenska, or requests for Peter SFI / Lätt Svenska med Oskar / Radio Sweden på lätt svenska / Klartext-style recommendations.
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。
Expert knowledge for AI video clipping — yt-dlp downloading, whisper transcription, SRT generation, and ffmpeg processing
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。