1.2万 件 ・ 関連度順
概要と使いどころ
Local SEO audit — assess a location-based business's Google Business Profile against local competitors, check Maps and local-pack visibility for its main queries, and recommend the few fixes that win nearby searches. Use when asked to "improve our local SEO", "why don't we show up on Google Maps", "audit our Google Business Profile", "rank in the local pack", or "local search for [city]".
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。
Control a whole Windows desktop from one persistent Python session with foreground-first input (focus holding, SendInput with pen/message fallbacks), background screenshots, UI Automation, Browser Harness, clipboard paste, PowerShell, and filesystem access. Use for native, Electron, browser, dialog, file, or cross-app 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。
Business ethics, corporate governance, and stakeholder responsibility for firms operating in complex social and regulatory environments. Covers ethical frameworks applied to business, stakeholder vs shareholder theory, board structure and fiduciary duty, conflicts of interest, whistleblowing, CSR and ESG, and the distinction between legal compliance and ethical conduct. Use when evaluating a decision with ethical stakes, designing a governance structure, or diagnosing a corporate scandal.
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。
Project state awareness and session recovery for GSD-managed projects. Use this skill whenever: starting a new work session, resuming after a break, the user asks "where did we leave off" or "what's the current state", before making substantial code changes (to check for existing plans), the user seems disoriented about project status, or when something seems off and STATE.md might have relevant context. Also activates when the user references .planning/ files, milestones, phases, or project progress.
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 at write time to vector/embedding memory — Grove content-addressed insertion, chroma/pgvector upserts, memory-consolidation promoting session traces to MEMORY.md, or embedding externally-ingested content. Scores each candidate record against a fixed panel of sentinel queries and quarantines any record that would become the nearest neighbor of too many unrelated queries — a hub — whether from adversarial poisoning or accidental over-generality. This is the memory-record-side sibling of skill-injection-guardian (file-side) and the write-side complement of memory-use-warrant (read-side). Quarantine, never silently drop; a human reviews. Backed by the admission-time hubness gate (arxiv 2606.19692v1). Triggers on inserting into vector memory, consolidating memory, and embedding stranger content.
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。
Evaluate a single skill's quality against its stated purpose. Classifies the skill's purpose type, then scores applicable quality categories — universal dimensions always apply; structural dimensions (scripts, references, assets) are scored only when warranted by the skill's purpose. A focused 20-line behavioral skill with no bundled resources scores fully on all applicable categories. Use when auditing skill quality, checking marketplace readiness, evaluating skill completeness, performing pre-publication evaluation.
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。
Time and timezone utilities for getting current time and converting between timezones. Use when: (1) Getting current time in any timezone, (2) Converting time between different timezones, (3) Working with IANA timezone names, (4) Scheduling across timezones, (5) Time-sensitive operations. Triggers: "what time is it", "current time", "convert time", "timezone", "time in [city]".
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。
Financial statements, business segments, dividends, valuation multiples (PE/PB/PS), industry comparison, operating data, corporate actions, company and executive profiles, cross-stock comparison, and valuation ranking via Longbridge. Also: DCF models, value investing screens (low PE/PB, margin of safety), and behavioral finance analysis frameworks. Triggers: "财报", "三表", "利润表", "资产负债", "现金流", "估值", "PE", "PB", "分红", "公司信息", "高管", "行业估值", "并购", "DCF", "内在价值", "低估值", "安全边际", "行为金融", "小盘成长", "专精特新", "主营业务", "业务构成", "收入结构", "业务分析", "是做什么的", "是干嘛的", "公司画像", "行业排名", "行业龙头", "市场份额", "收入占比", "业务结构", "財報", "估值", "分紅", "內在價值", "安全邊際", "主營業務", "業務構成", "收入結構", "行業排名", "行業龍頭", "financial report", "income statement", "balance sheet", "valuation", "dividend", "company info", "industry valuation", "DCF", "value screen", "behavioral finance", "main business", "business composition", "revenue structure", "what does XX do", "industry ranking", "market share", "利潤表", "資產負債", "現金流", "行業估值", "併購", "行為金融", "小盤成長"
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。
Extracts a company's tone of voice from its own content and turns it into rules a writer or an AI can follow. Phase 1 analyses 15 to 20 pages for sentence, paragraph, word and structure patterns with frequency counts; after the user reviews it, Phase 2 writes the guidelines: tone attributes with before and after examples, a We are / We are not table, tone by context, vocabulary to use and avoid, and open questions. Triggers: "tone of voice", "brand voice", "voice guidelines", "writing style guide", "extract voice from our website", "TOV". Not for visual identity (use /brand-kit) or messaging (use /messaging).
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。
Evaluate a codebase for agent-friendliness based on autonomous agent best practices. Use when asked to "evaluate for agents", "check agent readiness", "audit for autonomous execution", "assess agent-friendliness", or when reviewing infrastructure for unattended agent operation. Also use when asked about making a codebase more suitable for AI agents or autonomous workflows.
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。
Extract voice patterns from existing content (website, blog, social, sales-call transcripts) and codify into voice rules. Produces voice analysis + voice guidelines (rules per pattern + violation pattern + fix template). Writes to marketing/brand/brand-voice.md as the canonical voice rules every content skill reads. Triggers - "tone of voice", "brand voice", "voice guidelines", "TOV audit", "writing rules", "extract voice"
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 for ANY financial market, investment, or macro-economic analysis. ALWAYS trigger this skill — do not skip it — when the user asks about: BTC, bitcoin, crypto, gold, silver, oil, stocks, forex, bonds, interest rates, Fed policy, inflation, deflation, stagflation, market structure, trading setups, portfolio allocation, asset allocation, investment strategy, price analysis, market outlook, geopolitics affecting markets, or any question involving "should I buy/sell/hold [any asset]", "what will [asset] do", or "analyze [market/asset]". Apply Genesis Protocol (First Principle + System Thinking) combined with SMC Layer analysis to produce structured insights with explicit scenarios, entry/exit zones, and uncertainty. For non-market strategic thinking, use genesis-mind-strategic-intelligence instead.
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 for ANY financial market, investment, or macro-economic analysis. ALWAYS trigger this skill — do not skip it — when the user asks about: BTC, bitcoin, crypto, gold, silver, oil, stocks, forex, bonds, interest rates, Fed policy, inflation, deflation, stagflation, market structure, trading setups, portfolio allocation, asset allocation, investment strategy, price analysis, market outlook, geopolitics affecting markets, or any question involving "should I buy/sell/hold [any asset]", "what will [asset] do", or "analyze [market/asset]". Apply Genesis Protocol (First Principle + System Thinking) combined with SMC Layer analysis to produce structured insights with explicit scenarios, entry/exit zones, and uncertainty. For non-market strategic thinking, use genesis-mind-strategic-intelligence instead.
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 the optimization loop, improve agent performance, evolve the agent, or iterate on quality. Requires .evolver.json to exist (run harness:setup first).
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 user-centered, accessible interface copy (microcopy) for digital products including buttons, labels, error messages, notifications, forms, onboarding, empty states, success messages, and help text. Use when writing or editing any text that appears in apps, websites, or software interfaces, designing conversational flows, establishing voice and tone guidelines, auditing product content for consistency and usability, reviewing UI strings, or improving existing interface copy. Applies UX writing best practices based on four quality standards — purposeful, concise, conversational, and clear. Includes accessibility guidelines, research-backed benchmarks (sentence length, comprehension rates, reading levels), expanded error patterns, tone adaptation frameworks, and comprehensive reference materials.
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。
Kai Marketing OS router - shows all 49 marketing skills organized by workflow, business stage, and frequency. Use when "kai help", "what marketing skills are available", "how do I use the harness", "marketing help", or any general marketing question where the right skill isn't obvious.
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 a structured content brief using the marketing harness brief schema. Selects persona, defines angle, sets quality targets. Use when "create a brief", "content brief", "plan this content", "brief for [topic]", "what persona should I use", or before any content creation to define the strategy. Outputs a brief that /kai-write and /kai-email-system consume.
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 the ENTIRE tdmcp roadmap-to-1.0 to completion as a resumable, wave-by-wave campaign — Milestone 4 (generative-AI bridge wave), Milestone 5 (mixer scene arming), and the v1.0 consolidation gates G1–G6 — routing each class of work to the right existing sub-harness. Use whenever the user wants to "implement everything / all the milestones / the whole roadmap / finish the road to 1.0", run the next milestone, close the consolidation gates, or build a long autonomous campaign across M4/M5/G1–G6. ALSO use for every follow-up: continue/resume the roadmap campaign, run the next wave, re-run a failed wave, fold in QA results, check campaign status, re-prioritize, or scope to one milestone/gate. This is the CAMPAIGN layer ABOVE tdmcp-pipeline / tdmcp-feature-lead / tdmcp-backlog-campaign — it sequences across MULTIPLE sub-harnesses (tools, mixer, coverage, docs, bridge, recipes, submission), which the generic backlog-campaign does not. For a SINGLE feature use tdmcp-pipeline; for one tool-shaped backlog file use tdmcp-backlog-campaign. Simple questions can be answered directly.
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。
Blender MCP expert for scene inspection, Python scripting, GLTF export, and material/animation extraction. Activate when: (1) using Blender MCP tools (get_scene_info, execute_python, screenshot, etc.), (2) writing Blender Python scripts for extraction or manipulation, (3) exporting scenes to GLTF/GLB for web (Three.js, R3F), (4) debugging material or texture export losses, (5) optimizing GLB files with gltf-transform, (6) using asset integrations (PolyHaven, Sketchfab, Hyper3D Rodin, Hunyuan3D). Covers critical export gotchas, material mapping survival, texture optimization pipeline, headless CLI patterns, and known failure modes.
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。
Assesses startup viability through business model canvas analysis, unit economics validation, and market timing evaluation. Use when evaluating startup pitches, analyzing business model sustainability, or assessing product-market fit.
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。
Evaluates IPO preparedness across financial reporting, governance, compliance, and operational maturity dimensions. Use when assessing IPO readiness, identifying pre-IPO gaps, or planning public market transitions.
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。
LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
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。
Copy this repo's skills into another agent harness's skills directory by name — resolves the harness alias to its path via scripts/sync-targets.json and runs sync-skills.sh. Use only when the user asks to copy/sync/push the skills to another harness (oh-my-pi, opencode, kimi, codex, etc.) — never trigger automatically.
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。
Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business type (brick-and-mortar, SAB, hybrid) and industry vertical (restaurant, healthcare, legal, home services, real estate, automotive). Use when user says "local SEO", "Google Business Profile", "GBP", "map pack", "local pack", "citations", "NAP consistency", "local rankings", "service area", "multi-location", or "local search".
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。