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Build project-level design systems based on Material Design principles. Use when creating a new design system, extracting one from an existing product, extending tokens or components, or reviewing UI for design system compliance. Outputs a project-level Agent Skill with token definitions and component specifications.

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。

Generate HTML reports and structured metrics from model evaluation results. Creates publication-ready reports with embedded outputs (images, audio, charts) and metrics.json for cross-model comparison. Use when generating reports, writing metrics, creating evaluation summaries, or formatting benchmark results. Triggers on "generate report", "write metrics", "create report", "evaluation summary", "benchmark results", "format results".

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。

Updates the llms.txt file to reflect changes in documentation. Use when editing repository details or specifications. For creating from scratch, see create-llms.

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。

Creates an llms.txt file from scratch based on repository structure. Use when configuring LLM discovery files. For updating existing configurations, see update-llms.

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。

Complaint/ticket triage-and-dispatch App-in-Skill (Busabase App-in-Skill) for property managers, facilities teams, and helpdesk leads. Use when the user invokes $kelly-tickets or /kelly-tickets, or asks for complaint triage, ticket dispatch, 投诉, 工单, 派单, property management complaints, helpdesk queue, intake from WeChat exports/call logs/front-desk forms, crew assignment, SLA board, dispatch approval, or ticket resolution tracking.

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。

Lesson-plan generation and compliance-check desk (Busabase App-in-Skill) for a dean of studies or training-program lead. Use when the user invokes $kelly-lesson or /kelly-lesson, mentions lesson plan, 备课, 教案, teaching plan compliance, curriculum template, dean of studies, teacher training, wants lesson plans drafted from curriculum materials and the school template, teacher drafts imported and checked against quality standards, a review queue for approving plans, or a library of approved plans exported as documents.

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。

Team standup board (Busabase App-in-Skill) for team leads. Use when the user invokes $kelly-standup or /kelly-standup, or asks for standup, daily standup, 晨会, daily check-in, team status board, 团队日报, blockers, who's working on what, team digest, check-in streaks, missing check-in reminders, or collecting async updates from Slack/WeCom/Discord/WhatsApp/docs into one board.

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。

Curate Busabase training examples, create immutable dataset snapshots, run reproducible LoRA or QLoRA fine-tunes on a local Apple Silicon Mac with MLX-LM, compare the untouched baseline and adapter on locked evaluations, and register approved adapters. Use when the user wants to train, fine-tune, evaluate, compare, promote, or manage a local language model with Busabase as the workflow source of truth. Do not use for RAG-only knowledge retrieval, cloud training, or training a foundation model from scratch.

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。

Listing factory (上架工作台, Busabase App-in-Skill) for a cross-border e-commerce seller. Use when the user invokes $kelly-listing or /kelly-listing, mentions 上架, listing, Amazon title bullets, A+ content, flat file, TikTok Shop listing, listing compliance, 禁用词, multi-locale listings, wants platform listings drafted from product source material or a kelly-picks brief, deterministic compliance checks against per-platform rule sets, a review queue for approving drafts, or approved listings exported as Markdown/CSV for upload.

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。

Personal App-in-Skill voice-of-customer desk (Busabase App-in-Skill) aggregating user feedback from support email, Discord/Slack communities, X replies, app-store reviews, surveys, and interviews into clustered feature requests and a roadmap decision queue. Use when the user invokes $kelly-feedback or /kelly-feedback, or mentions user feedback, voice of customer, feature requests, roadmap decisions, feedback clustering, feedback triage, request dedupe, changelog replies, decline replies, or reviewing what users are asking for.

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。

Personal finance anomaly review desk (Busabase App-in-Skill) that imports the three business tables — orders, invoices, payments/receipts (回款) — from CSV/JSON exports, flags anomalies with deterministic rules, and runs a human review queue with auditable decisions. Use when the user invokes $kelly-audit or /kelly-audit, mentions finance audit, order invoice payment reconciliation, 对账, 应收, 回款, 发票异常, receivables aging, overdue receivables, duplicate payments, missing invoices, amount mismatches, or anomaly review.

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。

Insurance-industry App-in-Skill for read-only data governance, backed by an operator-provisioned Busabase workspace (one Drive node for the file drive plus four Bases for QA pairs, featured information, insurer notices, and user feedback) and trusted export/restore/PDF-text-backfill scripts. Use when the user invokes $kelly-insure-data or /kelly-insure-data, wants an insurance data workspace with UI, needs to review insurance files, metadata completeness, QA pairs, featured information, insurer notices, or user feedback, wants to back up or restore a Kelly Insure Data Busabase workspace from local PDFs, or wants Busabase Drive/Base data surfaced for data quality review and ongoing data governance.

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。

Outbound email-marketing desk (Busabase App-in-Skill) for building segments, drafting campaigns, newsletters, and sequences, running pre-send deliverability and subject-line QA, and approving every send before it is scheduled. Structured around the SEND discipline — Setup, Engage, Nurture, Deliver — with an email-quality-auditor gate (EQS score + SHIP/FIX/BLOCK verdict). Use when the user invokes $kelly-campaigns or /kelly-campaigns, or mentions email marketing, campaigns, newsletters, drip/welcome/win-back sequences, broadcasts, segments, subject-line A/B tests, deliverability (SPF/DKIM/DMARC/spam score/inbox placement), or wants to review and approve marketing email before it is sent. This is OUTBOUND marketing to a subscriber list, distinct from kelly-email inbox triage (incoming mail). 出站邮件营销：策划分群、起草营销活动 / 新闻邮件 / 邮件序列，发送前做可送达性与主题行质检，人工审批后再排期发送。

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 publish-ready LinkedIn posts for B2B SaaS marketing leaders writing from an operator point of view: real decisions, real trade-offs, real constraints, and defensible lessons. Use when turning an internal observation, framework, campaign decision, miss, or shipped artifact into a public LinkedIn post. Best for demand generation, ABM, marketing ops, product marketing, and SaaS GTM leaders building credibility through practical operating insight. Not intended for generic brand posts, company announcements, sales outreach, or long-form 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。

Generates and maintains competitive battlecards from win/loss data, competitor intel, G2 reviews, and sales feedback. Use when building battlecards for a specific competitor, updating existing battlecards with new intel, preparing BDRs or AEs for competitive deals, analyzing win/loss patterns against a competitor, or responding to a competitor's product launch or pricing change. Also use when asked to "build a battlecard," "update competitive intel," "how do we beat [competitor]," "what do we say when a prospect mentions [competitor]," or "analyze our win/loss against [competitor]." Designed for B2B SaaS teams selling against known competitors in deals 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 the monthly revenue-accountable marketing report that B2B SaaS marketing leaders deliver to CEOs, CFOs, executive teams, and boards. Use when preparing the monthly CEO report, drafting the marketing section of a board deck, defending budget decisions, diagnosing pipeline gaps, or transitioning marketing from MQL/SQO reporting to revenue, CAC payback, and forward pipeline coverage. Designed for B2B SaaS demand generation leaders who own pipeline targets across segments, geos, and motions, and need to explain marketing's revenue contribution in executive language.

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。

Assess a company's economic moat, EBITA margin trajectory, and organic growth trajectory from analyst reports, earnings transcripts, or long-form articles. Produces structured qualitative outlook that feeds into the Financial Modeling skill's assumption generation.

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。

Execute a single deterministic Python script to compute all derived financial metrics (EBITA, Invested Capital, Tax Rates, Summary Table) from extracted financial 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。

Extracts the WACC, assumptions, and DCF projections from the markdown metadata file and converts them into a clean, structured JSON file for the frontend interactive viewer.

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 balance sheet, income statement, shares outstanding, organic growth, and GAAP reconciliation data from financial PDFs. Standardize via Tiger-Transformer and append structured output to the document markdown.

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 a final packaged video from an approved project and the project satisfies Gate 10 packaging prerequisites.

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。

Resolve registered vertical composition inputs from source-grounded framing evidence, source A/V identity, layout anchors, and safe degradation. Use when a blueprint contains framing candidates or visual intents for a vertical delivery.

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。

Manage GoClaw AI agent gateway servers from Claude Code. Use this skill when the user mentions "goclaw", "gateway server", "AI agent platform", or wants to execute shell commands remotely on a server, manage AI agents, approve agent actions, inspect chat sessions, or administer multi-tenant AI infrastructure. Wraps the `goclaw` CLI to call REST + WebSocket APIs of GoClaw Gateway.

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。