2,205 件 ・ 関連度順
概要と使いどころ
Use when the user wants to send the same prompt to several LLMs and compare the answers - sequentially (stopwatch, clean per-lane timing) or in parallel (true race), with optional repetitions per model, judged by the starting model across quality, correctness, completeness, instruction fidelity and latency (time is only one dimension). Triggers on /compare-race, 'model race', 'vergleiche modelle', 'gleicher prompt an mehrere modelle'.
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。
Reviews one deal's notes and timeline (CRM opportunity record, activity log, emails, meeting notes, forecast entries) for risk signals such as a single contact thread, no identified budget owner, slipped or missing dates, silence after a proposal, an undefined decision process or a competitor named late, and returns a DRAFT risk register: each signal with the quoted evidence and its date, a severity on a stated scale, and one proposed next action with an owner role for the user to decide on. Use when the user asks to "review the risks on this deal", "why is this opportunity stalling", "is this deal single-threaded", "deal health check before the forecast call" or "what should we do next on <opportunity>". Do not use for a whole-account plan, use account-plan-builder instead; for scoring early leads against a rubric use lead-qualification-scorer. Drafts for human review; never approves, authorises or signs off.
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。
Drafts one issue of an internal newsletter from the items the user provides (notes, messages, snippets, meeting outputs, contributor submissions): a running order with the reason for each position, a factual headline and one paragraph per item with its source line, one call to action per item with date and route, two subject-line options, an item register accounting for every item supplied, and a list of items that need an owner's confirmation before send. Use when the user asks to "draft this month's newsletter", "turn these items into the team update", "write the staff bulletin from these notes", "order and headline these items" or "prepare the internal digest". Do not use for one piece of news that needs its own send, use announcement-drafter instead; for a digest of external news, use news-monitor-digest; for a personal weekly status note, use weekly-status-update-writer. Drafts for human review; never approves, authorises or signs off.
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。
Builds a DRAFT course outline from a training need and audience: learning objectives with an observable verb, condition and standard, modules in a stated order with a duration basis and sources, activities and an assessment plan aligned objective by objective, and a coverage table showing what each objective still lacks. Never sets a pass mark, declares learners competent or invents content. Use when the user asks to "build a course outline", "design a training programme for", "turn this need into modules and objectives", "draft the curriculum for this workshop" or "what should this training cover". Do not use for quiz items from finished content, use training-quiz-builder instead; for needs from surveys and manager notes, use training-needs-synthesis; for a new starter's first weeks, use onboarding-plan-builder. Drafts for human review; never approves, authorises or signs off.
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。
Synthesises training survey responses and manager notes into a DRAFT training needs report by role: coded needs with record counts per role (n of N), the evidence type behind each count, anonymised quotes cited to record codes, disagreements between what staff report and what managers observe, gaps where a role is under-represented or a required skill has no evidence, and follow-up questions to settle before any course is designed. Never rates an individual, ranks a team or turns a count into a competence verdict. Use when the user asks to "analyse this training survey", "what training do our teams need", "summarise the manager feedback on skills gaps", "build a training needs analysis by role" or "which roles have the biggest skill gaps". Do not use for turning an agreed need into a course, use course-outline-builder instead; for exit interviews, use exit-interview-synthesis. Drafts for human review; never approves, authorises or signs off.
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 a supplied portrait or pet photo into a humorous pirate-anime wanted poster with a recognizable manga portrait, a playful alias and a fictional bounty. Use for 海贼王式通缉令, 大航海悬赏令, or a pirate bounty photo poster.
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。
Transform a supplied photo into a charming cartoon pixel-art scene with recognizable subjects, source-derived colors and an optional short life-save caption. Use for 卡通像素风, 像素生活存档, retro game scene portraits, pets or travel-photo pixel illustrations.
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。
Coach German writing and conversation with minimal corrections, persistent root-cause mistake tracking (FehlerDNA), mistake-based spaced repetition with a new sentence every time, roleplay whose words return in spaced reviews, continuing preparation for real-life goals across sessions, and an honest progress profile. Use for German correction, personalized review, vocabulary, progress, roleplay, or preparation for an interview, presentation, appointment, or other concrete event; do not use for translation-only requests without learning or 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。
Draft short, in-voice reply candidates to a fresh community shortlist: read the nightly detector report, pick posts in safe or opinion topics, pull a grounding snippet from the local corpus, and write the drafts. Drafts only, and the owner posts. Triggers: "/sostav-comments", "draft replies to the shortlist".
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。
Full-text keyword search across every conversation at once (Telegram, Facebook, ChatGPT, Claude, notes, transcripts) over a local BM25/FTS5 catalog: instant, zero tokens, with snippets and chat-title hits. The exact-words lane, complementary to semantic search. Triggers: "/search <words>", "where did I write about <X>".
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。
Researches a company from its URL and produces a Brand DNA file covering positioning, audience, competitors, voice, and messaging. Use when starting work with a new brand or customer.
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。
Package a contribution (gist, script, fix or skill) as a product instead of a bare snippet: README with problem and result, install steps, a test, license, honest limits and a clear entry point. Use before publishing a gist, sharing a fix or releasing a slice of internal tooling. Triggers: /pack, package this properly, make it a product, ship it with quality.
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, grade, rewrite, and issue funny evidence-backed tickets for generic AI-slop patterns in prose, social posts, UI/design, and code. Use when asked to de-slop writing, humanize AI copy, grade a draft, review a landing page or generated interface, remove vague claims and repetitive rhetoric, inspect AI-written code for generic abstractions and happy-path-only logic, or ticket someone for a specific quality offense. Do not use to determine whether AI authored something.
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 screenshots, websites, moodboards, competitors, or visual examples are provided and the task needs design DNA extraction, comparison, remixing, or translation into an original design direction.
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 to audit a generated or heavily templated interface for generic AI aesthetics, unjustified trend patterns, component-registry residue, vague copy, repetitive motion, novelty theater, or visual decisions that lack brand/UX rationale.
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。
Operational guide for the NV oOS WordPress Playground demo blueprints — the Content Graph "Project Asteria" demo, the Complete bundle × local Ollama demo, and the Docs Hub wp.org Live Preview demo. Covers blueprint authoring patterns (embedded runPHP seed snippets, generator scripts, preview-safe vs standalone split), CORS hosting gotchas, the CI Plugin Check gate (built-ZIP scan, rsync/distignore sync, ABSPATH guards), Playground worker crash modes (PHP-side localhost fetches, inline-script UTF-8, SPA SSE-hold mount bursts, crash-truncation SyntaxErrors), local Ollama integration (OLLAMA_ORIGINS, browser policy matrix, plugin settings + assistant meta keys), and the CLI validation harness (probe builder, mount quirks, server-mode 502 boot). Use when extending or debugging the demo blueprints, adding a new Playground demo, or triaging a crashing Playground instance.
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。
Perform quick web searches, local business lookups, and URL content extraction. Covers web_search for general queries, brave_local_search for location-based discovery, and run_crawl4ai_job for deep page crawling. Use when fact-checking, trend spotting, doing competitor analysis, looking up local businesses, extracting page content, or performing content research that doesn't need multi-step deep research.
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。
Perform comprehensive, multi-source research on any topic using AI-powered web search and analysis. Covers deep_research for broad discovery and semantic_content_search for site-specific knowledge retrieval. Use when you need to research brands, markets, competitors, or trends with citations — before creating content, planning campaigns, or making strategic decisions.
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 GitHub Copilot CLI in non-interactive mode to ask questions, review code, or generate snippets without manual interaction.
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 asks to "codify how our founder sounds", "build a founder voice dossier", or "set our content pillars"; runs an 80%-extraction interview over the user's OWN posts, emails, and decks (never competitor scraping, never an invented persona) and produces the versioned voice record — a per-platform register map (incl. 小红书/微信公众号), banned phrases, per-context disclosure lines (the ECHO C2 upstream), a few-shot bank built exclusively from own posts, and 3-5 content pillars with Estimated %-allocations — submitted via memory/events/channels.ndjson for channel-registry to store as voice-dossier.md, the record every Craft-phase skill reads first. Not for the brand-level voice canon — use brand-language-codifier; not for audience/persona research — use audience-mapper. 声音档案/品牌语气/创始人语气/内容支柱/披露声明
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 asks to "analyze the SERP" or "SERP分析"; maps SERP features, layout, ranking factors, search intent, AI Overviews, and snippet opportunities for a query. Not for keyword demand discovery — use keyword-research. SERP分析/搜索结果
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 Profound AI-visibility and citation-tracking data when an authorized connector is available. Use for time-series brand mentions, cited prompts, competitor co-mentions, and AI-answer visibility trends.
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 SE Ranking organic and AI-visibility data when an authorized connector is available. Use for rankings, competitors, backlinks, SERP features, and cross-platform AI share-of-voice 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。
Design or evaluate pricing and packaging using customer value, willingness-to-pay evidence, competitive context, unit economics and experiment design.
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。