703 件 ・ 関連度順
概要と使いどころ
Redesign Stacktape's marketing website or Console through visual exploration, independent design critique, and browser verification. Use for substantial page, flow, or visual-system design work, including agent-led redesigns.
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Design direction advisor — generates 3 differentiated visual directions with live HTML demos for selection. Use when the brief is vague ("make something nice", "pick a style", "explore directions"), when no design system exists, or when the user wants to compare visual approaches before committing. Richer than /form-style: produces actual visual demos, not just recommendations. Trigger words: "design direction", "style exploration", "pick a direction", "what should this look like", "give me options", "explore styles", "design philosophy".
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。
Turn Markdown outlines, notes, docs, or plans into an interactive mind map — a single self-contained HTML file that opens offline anywhere (markmap.js, white-on-dark, zoom/expand/export toolbar, search that keeps matches in context). Use whenever the user asks for a mind map, markmap, or concept map, wants to visualize or diagram the structure of a document or topic, summarize notes as a navigable tree, make an outline clickable or explorable, or embed such a map in Streamlit — even when they don't literally say 'mind map'.
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 TikTok caption under 2,200 chars (hashtags included), pick a tasteful 3 to 5 hashtag set with mixed reach, and set the platformSettings.tiktok flags (viewer setting, comments, duet, stitch, commercial and branded content). Front-loads a reason to comment, runs the humanizer pass, and publishes the rendered video via Publora on approval. Use to caption a finished video. Not for the in-video hook (use tt-hook-scripter) or scrubbing a script (use tt-humanizer).
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。
Repurpose content into a native TikTok script and caption. Take a LinkedIn post, blog, newsletter, or X thread that worked elsewhere and rebuild it as a spoken script: hook in the first second, every line sayable in one breath, open on the payoff, a trend angle where it fits, plus a caption, published via Publora on approval. Adapts content across platforms. Not for a fresh hook (use tt-hook-scripter), not the caption only (use tt-caption-writer), not auditing a script (use tt-humanizer --mode audit).
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, script, caption, and publish short-form video for TikTok. Use when the user wants to write the first 1-3 second hook (spoken line plus on-screen text), draft a caption under 2,200 chars with TikTok settings and hashtags, ride a trending sound without being cringe, strip AI tells from a spoken script to sound human on camera, or plan a week around completion rate. TikTok is video-only: the user supplies the video, the skills produce the script, caption, and settings, then publish via Publora.
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。
Grammar of graphics, chart type selection, color theory, interactive visualization, dashboards, and the principles of honest, effective data display. Covers Tufte's data-ink ratio, Bertin's visual variables, perceptual principles, accessibility, small multiples, annotation, and the full workflow from exploratory plots to publication-quality graphics. Use when creating charts, designing dashboards, critiquing visualizations, or choosing how to display data.
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 before you shorten, compress, or rewrite the BODY of an existing SKILL.md or agent .md — the moment you are about to cut text to reduce length. First inventory the file's operational anchors (exact code / command / API snippets, fail-closed workflow guards, and rule / threshold statements), preserve every one, then judge the rewrite by expected downstream task cost (exploration, debugging, recovery tokens) rather than by the resulting line count. A shorter skill that strips an anchor makes the agent MORE expensive per task, so length is never the objective and rewrite is not compression. Backed by Preserving Operational Anchors When Compressing Agent Instructions (arxiv 2606.09421v2). Triggers on shortening or refactoring a skill or agent body.
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。
The creative process in art from idea to exhibition. Covers five phases of creative work (inspiration, incubation, exploration, execution, reflection), sketchbook practice, artist statements, critique methodology (formal and conceptual), portfolio development, and the studio as a working environment. Use when guiding students through project development, facilitating critique sessions, developing artist statements, curating portfolios, or understanding how professional artists structure their creative practice.
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 Playwright CLI for interactive browser exploration and snapshot-based interaction. Use when writing or running browser automation 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。
Integration of advanced IoT protocols for Zephyr RTOS. Covers OpenThread mesh networking, Matter-over-Thread device development, Golioth Cloud SDK patterns, and LoRaWAN basics. Trigger when building smart home devices, wide-area sensor networks, or cloud-integrated hardware fleets.
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。
Adhoc workflow for small targeted changes to existing behavior or appearance, without the full story ceremony. Use when the orchestrator encounters a bug with a clear root cause and surgical solution, OR a small enhancement to something already built (a different icon, wording, spacing, color). Triggers on: 'fix this', 'this is broken', 'the alignment is off', 'that button doesn't work', 'quick fix', 'patch this', 'tweak this', 'change the icon', 'adjust the wording', post-story corrections, or any situation where the write gate blocks a small targeted change. Acts NOW - a defect to file and fix later belongs in /craft:bugs, other deferred work in the notebook. Do NOT use for new features, design exploration, or changes requiring creative spark.
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。
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems.
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。
Hypothesis-Test Loops via REPL for Exploratory Abductive Inference
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。
Creative reasoning framework for ill-defined problems where conventional solutions are suboptimal. Use when the problem has ambiguous goals, vast solution space, no single correct answer, or requires innovation. Implements three paradigms — combinational (novel combinations of familiar ideas), exploratory (expand solution space boundaries), transformative (alter fundamental constraints). Do not use for well-defined problems, mathematical puzzles, or tasks requiring convergent reasoning.
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 exploring unknown structured data files with dasel v3 — discover schema, list keys, find nested values, sample arrays, identify data types across JSON, YAML, TOML, XML, CSV, HCL, INI formats
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。
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
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 stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.
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。
Turns a theory into falsifiable, pre-registerable hypotheses, covering the DGP and DAG, identification, SATE versus PATE, counterfactual and directional framing, named estimands, justified SESOIs, the choice among NHST, equivalence, interval, and minimum-effect tests, scope conditions, and primary, secondary, and exploratory tiers. Use when the user asks to turn a research question or theory into hypotheses, whether a prediction is falsifiable, what the estimand is, or how to predict a null. Framing goes to narrative-building, the plan to pre-registration-writing.
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。
Writes or reviews a pre-analysis plan before data collection — registry choice (OSF, AEA RCT Registry, AsPredicted, registered reports), PAP structure, models and decision rules locked in advance, analysis code run on simulated data, contingencies for attrition, failed manipulations, and exclusions, deviation records, and timeline. Operationalizes the pre-data-collection side of DA-RT. Use when the user asks to draft or audit a pre-registration or PAP, choose a registry, decide what to lock versus leave exploratory, or handle a later deviation. Hypotheses and estimands come from hypothesis-building, post-hoc reporting from methods-reporting.
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。
Semantic code understanding with IDE-like symbol operations. Use when: (1) Large codebase analysis (>50 files), (2) Symbol-level operations (find, rename, refactor), (3) Cross-file reference tracking, (4) Project memory and session persistence, (5) Multi-language semantic navigation. Triggers: "find symbol", "rename function", "find references", "symbol overview", "project memory". IMPORTANT: Prioritize Serena's symbolic tools over file-based grep/read for code exploration.
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 and manage Databricks Agent Bricks: Knowledge Assistants (KA) for document Q&A, Genie Spaces for SQL exploration, and Multi-Agent Supervisors (MAS) for multi-agent orchestration. Use when building conversational AI applications on Databricks.
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。
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
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 the user wants to run a diffusers pipeline from a terminal (one-off generation, batch jobs, smoke-testing a new model), run on HF Sandbox hardware via `--remote`, introspect a pipeline's input schema before calling it, or attach a LoRA at inference time. Prefer this over writing ad-hoc Python scripts for generation tasks.
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。