「sel」の検索結果

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。

Use when asked to select a UI style, choose a design direction, pick a visual approach for a product, or match a style to an industry. Examples: "what style fits a fintech app", "choose between neumorphism and glassmorphism", "design direction for healthcare SaaS"

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。

Analyze LLM eval results — score breakdowns by category, regression detection vs baseline, failure clustering. Use when asked to "analyze our eval results", "did the model regress", or "cluster the eval failures".

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。

Design embedding pipelines — model selection, batching, normalization, index refresh strategy. Use when asked to "design an embedding pipeline", "which embedding model should we use", or "how should we batch embeddings".

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。

Wireframe a screen — text/ASCII by default, or hand-drawn HTML when the user says "sketch", "hand-drawn", "lo-fi HTML", "whiteboard", "graph paper", or "visual wireframe". Text mode produces a buildable ASCII spec Form and Prism can act on. HTML mode produces a single self-contained file with graph-paper background, marker headlines, sticky-note annotations, and hatched chart placeholders — looks like a designer's whiteboard, commits to nothing.

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。

Design and implement an AI feature integration — model selection, architecture pattern, system prompt, data flow, error handling, cost estimate. Use when asked to "add AI to this", "LLM integration", "add Claude/GPT", or "AI-powered feature".

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。

Design a caching strategy for an application — pattern selection, key design, TTL, and eviction policy. Use when asked to "add caching to this", "design a cache strategy", or "what should we cache".

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。

Validate and benchmark a forecasting model — walk-forward CV, error metrics, baseline comparison. Use when asked "is this forecast any good", "validate a forecasting model", or "backtest the forecast".

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。

Build or audit knowledge base -- article structure, coverage gaps, deflection rate, and maintenance process. Use when asked to "build a knowledge base", "what docs are missing", "improve our self-serve rate", or "audit our help center".

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。

Improve a Hinge dating profile through research-backed screenshot audits, photo selection and ordering, conversational discovery, prompt and caption writing, settings review, or post-launch troubleshooting. Use for a full profile rebuild or a focused request about photos, copy, positioning, match quality, or profile performance.

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。

Filter rows of a Datagrok DataFrame via the datagrok_exec tool through the Filters panel — by range, equals/contains/in-set, multi-value, boolean, free-text row expressions, or substructure (SMILES / SMARTS / molblock). Also covers clearing, inverting, the show-only-filtered vs destructive-drop split, and the filter event lifecycle (onRowsFiltering / onFilterChanged / onRowsFiltered). Use whenever the user says "filter", "show only", "hide rows where", "narrow to subset", "find rows that", "contains", "substructure search", "categorical filter", "range filter", "invert", "clear the filter", "clear filters", "drop rows", or asks for the filtered subset as a new table. Does NOT cover selection (separate skill) or generic DataFrame cloning (datagrok-df-and-columns).

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。

Summarise the job search from the markdown tracker - funnel, response rate, what's working, where applications come from, what's pending on the user. Use when the user runs /seekter-report or asks how the search is going, for weekly numbers, or what to change.

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。

Run a daily job search and auto-apply session for the candidate in profile/profile.md. Use when the user runs /seekter-run or asks to start applications, search for jobs, run today's scan, or apply to postings.

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。

Update the application tracker. Record replies (rejection, screening, interview, offer), log an application the user made by hand, or sweep the inbox for replies. Use when the user runs /seekter-log, says a company replied or rejected them, or asks to check emails for responses.

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。

Set up Seekter for a new candidate. Interviews the user one question at a time and writes profile/profile.md, profile/settings.json and profile/documents/. Use when the user runs /seekter-init, says "set up seekter", or when profile/profile.md is missing.

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。

Show a table and its map, diagram, timeline or chart together, with selection synced both ways. Use when data appears in two representations at once.

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。

Currency, language, region and unit selectors live in a low-profile header or footer spot. Use when designing locale switchers or product-wide preference controls.

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。

Cards, drawers, carousels and other patterns borrowed from the physical world. Use when designing layout patterns, gestures or navigation paradigms.

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。

Light, dark or both, and when a theme selector is worth it. Use when defining a base palette or deciding on dark mode support.

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。

Searches and discovers academic papers across multiple sources (Semantic Scholar, arXiv, Tavily, Exa, Gemini deep research, AMiner, Google Scholar) with adaptive engine selection based on query type. Returns ranked, deduplicated results with metadata (authors, venue, year, citations, abstract, PDF link). Use when the user asks to find papers / literature / publications / preprints / references on a topic, search for related work, look up a specific paper by title or DOI or arXiv ID, find papers by an author, find recent SOTA / state-of-the-art work, survey a research area, or run a deep / comprehensive literature search with synthesis.

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。

Release-readiness auditor for AI Agent Skills. Use before publishing or selling a Skill to inspect triggers, scope, permissions, external URLs, tests, package hygiene, licensing, documentation, compatibility, and buyer-facing delivery. Trigger on requests such as "audit my skill before launch", "prepare this agent skill for sale", "check the release zip", or "审查这个 Skill 能不能发布售卖".

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。

ALU execution pattern for ephemeral autonomous work. Detects hooked work, enters GUPP autonomous mode, executes the assigned bead, commits and pushes results, then self-terminates. Never coordinates other agents.

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。

Runtime HAL for multi-runtime agent orchestration. Detects active AI assistant (Claude Code, Codex, Gemini, Cursor) and exposes uniform interface for startup injection, GUPP enforcement, and communication selection.

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。