「board」の検索結果

Busabase-backed project-based PPT production App-in-Skill. Use when the user invokes $kelly-ppt-factory or /kelly-ppt-factory, mentions PPT factory, 规模化 PPT, bulk PPTX, batch decks, reusable PowerPoint style systems, presentation production workflows, pitch decks, sales decks, training decks, report decks, slide-card/storyboard planning, style-consistent deck generation, PPTX QA, or wants to manage many PPTX files through project to deck to slide card to review to generate to render QA.

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。

SEO + GEO (AI-search) + brand-entity desk (Busabase App-in-Skill) — wired to Google Search Console for a dashboard over search analytics and an agent-prepared SEO opportunities review queue, plus an AI-visibility tracker (are we cited in ChatGPT / Perplexity / Gemini / Claude / Copilot answers), a GEO content-optimization queue gated by geo-qa, and an entity / knowledge-panel readiness checklist. Use when the user invokes $kelly-seo or /kelly-seo, mentions SEO, Google Search Console, GSC, search analytics, search performance, queries, keywords, rankings, positions, impressions, clicks, CTR, striking-distance queries, title/meta rewrites, content briefs, internal links, SEO opportunities review, GEO, generative engine optimization, AI search, AI visibility, being cited by AI answer engines, ChatGPT/Perplexity/Gemini/Claude/Copilot citations, brand entity, knowledge panel, Wikidata, schema.org, or entity readiness.

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 source content into channel-ready drafts with a Busabase App-in-Skill review and export workflow. Use when the user asks to write content, make a content pack, turn a main blog/long article/transcript/notes into Xiaohongshu, WeChat, newsletter, LinkedIn, X/Twitter, short video scripts, SEO snippets, or a multi-platform publishing plan; also use when they ask for a content approval dashboard or App-in-Skill content workflow.

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。

Busabase App-in-Skill dashboard over a fixed, deterministic mock user-behavior funnel dataset (browse → search → compare → booking attempt/abandon → complete) for a generic consumer booking product. Use when the user invokes $kelly-behavior-predict or /kelly-behavior-predict, wants to review funnel drop-off, per-segment predicted next actions, or backtest a rule-based "predicted next action" heuristic against a mock historical sample. Fully deterministic mock data and a hand-recomputable rule — never a real ML/LLM model, never a live system.

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-drama and product-video development skill for planning drama projects through a bundled Busabase App-in-Skill UI, with each project linked to a specified HyperFrame project and each episode linked to a HyperFrame composition for final motion/video tuning. Use when the user asks to create, edit, organize, or review short-drama scripts, product explainer episodes, character consistency cards, series bibles, episode beat sheets, storyboard shots, HyperFrame project/composition links, production checklists, or a drama planning workbench.

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。

Review board (Busabase App-in-Skill) that runs a fixed suite of mock test cases against a baseline vs candidate agent version and surfaces rubric-scored regressions before a release. Use when the user invokes $kelly-agent-eval or /kelly-agent-eval, wants to review agent-version regressions, compare baseline vs candidate quality, triage a release, or record a release approve/block decision. Deterministic mock rubric scores only — not a real LLM-judge call, and it never deploys anything.

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, analyze, repair, and audit finance three-statement models and operating forecasts. Use when the user invokes $kelly-finance, asks for 财务三表, 三表模型, income statement, balance sheet, cash flow statement, forecast model, budget model, financial projections, FP&A model, SaaS/unit economics forecast, fundraising model, board finance pack, investor model, model checks, balance-sheet balancing, cash runway, working capital, capex/depreciation schedules, debt schedules, scenario/sensitivity cases, or Excel/Sheets-ready finance outputs.

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。

Busabase-backed, read-only App-in-Skill portfolio dashboard that aggregates Webull brokerage holdings (accounts, positions, cash/margin, market value, unrealized P/L, day change, buying power). Use when the user invokes $kelly-invest-webull or /kelly-invest-webull, wants to review their Webull portfolio, holdings, positions, accounts (cash/margin), asset allocation, market value, unrealized P/L, day change, cash, or buying power. Read-only aggregation only — it never places, modifies, or cancels orders and never moves money.

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 Busabase-backed job-search outreach desk with a bundled Hono App-in-Skill deployable to AirApp. Use when the user invokes $kelly-jobhunt or /kelly-jobhunt, wants to turn a resume into a structured profile and a typeset PDF, wants to find target companies and their contact addresses instead of applying through a job board, wants one tailored application email drafted per company, or wants to review and approve each send. Four subcommands - setup, profile, research, send - plus the desk itself. One company receives exactly one email; mailbox credentials live in the Busabase Vault and never reach browser code.

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。

Busabase-backed family-office App-in-Skill that consolidates multi-entity investment holdings into one read-only dashboard. Use when the user invokes $kelly-family-office or /kelly-family-office, wants a consolidated family office view, multi-entity aggregation across an individual, trust, company, fund, or foundation, total AUM in a base currency, asset allocation by asset class, by entity/member, or by custodian/institution, multi-currency FX consolidation, CSV import of holdings, unrealized P/L, or read-only portfolio monitoring. It reads Busabase only and NEVER moves money or trades.

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。

Busabase-backed household pooled-pension / elder-care fund App-in-Skill (家庭统筹基金) that keeps one read-only bookkeeping dashboard where transparency equals fairness. Use when the user invokes $kelly-family-fund or /kelly-family-fund, wants to pool two elders' pensions (退休金) managed by one steward (统筹人), pay a fixed care cost (养老院 / nursing home), and share the surplus across sibling families (交通/聚餐/生日礼物/人情/social gifts), track a household fund balance and monthly income/expense/net, see per-family cumulative benefit, share %, and fairness deviation (公平), a per-category spend split, CSV import or manual ledger entry (记账). It reads Busabase only and NEVER moves money.

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。

Generates account research briefs, personalized outreach sequences, persona-specific talk tracks, and objection handling frameworks for B2B SaaS BDR teams. Use when preparing BDR outreach for target accounts, building prospecting sequences, creating call scripts, developing objection responses, onboarding new BDRs, or reviewing outreach performance. Also use when asked to "write outreach emails," "build a prospecting sequence," "create a call script," "handle objections," or "research an account for outreach." Designed for BDR teams selling compliance, security, and GRC platforms to mid-market and enterprise buyers with multi-persona buying committees.

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。

Generates standard operating procedures for B2B SaaS marketing operations: campaign naming conventions, UTM governance, tool administration, workflow QA, data hygiene, lead routing, and incident response playbooks. Use when setting up or auditing marketing ops processes, onboarding a new marketing ops hire, standardizing campaign tracking, fixing broken lead routing, cleaning up HubSpot or CRM data, building QA checklists for campaign launches, or creating incident response procedures for marketing system failures. Also use when asked to "fix our UTM mess," "standardize campaign naming," "build a QA checklist," "audit our marketing ops," or "create an ops runbook." Designed for B2B SaaS marketing teams running HubSpot with multi-geo, multi-segment operations.

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 multi-touch pipeline attribution models and generates stakeholder-ready narratives from campaign performance data. Use when analyzing channel contribution to pipeline, preparing monthly/quarterly revenue reports for leadership, diagnosing pipeline misses, modeling budget reallocation scenarios, or translating raw attribution data into board-deck language. Designed for B2B SaaS demand gen teams that report on pipeline and revenue, not leads or MQLs.

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 and verify Notifications list for Data-heavy application with Bootstrap v5.3 using a working semantic implementation, responsive RTL/LTR behavior, theme tokens, test plan and design verification.

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 and verify Adaptive navbar for Data-heavy application with Bootstrap v5.3 using a working semantic implementation, responsive RTL/LTR behavior, theme tokens, test plan and design verification.

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 and verify Pagination control for Data-heavy application with Bootstrap v5.3 using a working semantic implementation, responsive RTL/LTR behavior, theme tokens, test plan and design verification.

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 and verify Newsletter signup for Data-heavy application with Bootstrap v5.3 using a working semantic implementation, responsive RTL/LTR behavior, theme tokens, test plan and design verification.

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 and verify Multi-step workflow for Data-heavy application with Bootstrap v5.3 using a working semantic implementation, responsive RTL/LTR behavior, theme tokens, test plan and design verification.

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 and verify Mega navigation menu for Data-heavy application with Bootstrap v5.3 using a working semantic implementation, responsive RTL/LTR behavior, theme tokens, test plan and design verification.

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 and verify Mobile drawer for Data-heavy application with Bootstrap v5.3 using a working semantic implementation, responsive RTL/LTR behavior, theme tokens, test plan and design verification.

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 and verify Mobile bottom navigation for Data-heavy application with Bootstrap v5.3 using a working semantic implementation, responsive RTL/LTR behavior, theme tokens, test plan and design verification.

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 and verify Animated headings shell for Data-heavy application with Bootstrap v5.3 using a working semantic implementation, responsive RTL/LTR behavior, theme tokens, test plan and design verification.

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 and verify Statistics metric row for Data-heavy application with Bootstrap v5.3 using a working semantic implementation, responsive RTL/LTR behavior, theme tokens, test plan and design verification.

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。