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Navigate execution flow from an entry point, mapping call chains, external dependencies, and side effects.

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。

Refactor Python code to improve quality while keeping functionality intact. Use when cleaning up complexity, removing duplication, or tightening structure.

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 the RIPE Atlas REST API v2 to find probes, inspect measurements, create and monitor network measurements, and fetch results. Use when the user asks about Atlas probes, measurements, ping, traceroute, DNS, HTTP, TLS, NTP, or globally distributed reachability checks.

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 for the frontend phase after the API contract exists — deciding the screens as units of work (one job a person finishes in one go, per actor of the event timeline), collecting the views and commands each screen needs, keeping the screen map in frontend/README.md, building against the Lean CLI, then handing over to frontend-ux-review and the human screen check. Not for the spec-animation mockup (domain-mockup).

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 automatic keepalive for Appwrite free-tier projects to prevent them from being paused after 7 days of inactivity. Use when working in a codebase that uses Appwrite, when the developer mentions Appwrite free tier, project pausing, or keeping an Appwrite project alive, or when you detect Appwrite configuration (node-appwrite dependency, APPWRITE_ env vars, Appwrite SDK imports).

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。

Read the network instead of the DOM. Snoop JSON API responses, wait for a request instead of sleeping, collect items while scrolling, record a QA flight trace (jsonl, HAR, screenshots), and intercept requests with routes.

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。

Fetch Airbnb income estimate (ADR, occupancy, monthly revenue) for any area using the official Airbnb GraphQL API — the same data the Airbnb host simulator shows. Input: station/area name. Output: per-night rate, avg nights, monthly estimate for entire_home and private_room.

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 whenever helping someone build, design, or troubleshoot layouts in Elementor Pro V4 using the visual editor. Triggers on ANY mention of Elementor, page builder, Flexbox widget, Div block, section layout, widget configuration, responsive breakpoints, dark mode, scroll animations, Interactions tab, Variables Manager, Class Manager, Custom Code snippets, or any visual design work inside the Elementor panel. Also trigger when someone asks how to position elements, set spacing, apply typography, configure dark mode, prevent FOUC, or build scroll-triggered effects in Elementor. ALWAYS use this skill before suggesting any Elementor V4 implementation — it contains critical V4-specific panel structure, common AI mistakes to avoid, and production-tested patterns.

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 helping users configure LoRA training — select presets, understand parameters, and pick the right settings for their model type. Covers SD1.5, SDXL, SD3, and Flux1 with real-world presets.

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。

Deep web research skill using Firecrawl MCP. Use when estimating market size (TAM/SAM/SOM), analyzing trends, or scraping competitors. For competitor teardowns, see competitor-analysis.

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。

Structured competitor teardown skill. Use when scraping competitor sites, extracting pricing/features/positioning, or analyzing strategic gaps. For general research, see market-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。

Kelly Retail Intel: App-in-Skill daily industry intelligence cockpit for retail stores and consumer brands (Busabase App-in-Skill). Use when the user asks about retail, stores, promotions, merchandising, shopping trends, weather/event sales opportunities,零售, or门店 scenes. Prepares news/source signals, buyer-intent interpretation, approved sales actions, and channel drafts for review before any external handoff.

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。

Product-launch command desk (Busabase App-in-Skill) built on the RAMP discipline — Research / Assemble / Mobilize / Prove. The agent assembles the launch checklist and drafts launch assets, channel submissions (Product Hunt / Hacker News / directories), press pitches, and the launch-day runbook; the human approves the launch-readiness gate and steers launch day in a review UI. Use when the user invokes $kelly-launch or /kelly-launch, or mentions launching / shipping a product, a launch checklist or runbook, launch readiness, RAMP, Product Hunt / Show HN / press-kit / launch-email drafting, or wants to review and approve launch assets and channel submissions before they go public. This is launch OPERATIONS — the checklist, assets, submissions, and runbook — not a launch video (for a promo video use product-launch-video).

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。

Extract invoices, receipts, credit notes, statements, PDFs, images, docs, and spreadsheet-like invoice exports into a reviewable table with field confidence, line items, approval decisions, and CSV/JSON export. Use when the user invokes /kelly-invoice-sheet or $kelly-invoice-sheet, asks for "Invoice转表格", invoice OCR, receipt-to-spreadsheet, invoice data extraction, bookkeeping import prep, or a Lido-style Extract Data workflow with a Busabase-backed App-in-Skill UI.

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。

Digital-human implementation and demo skill for choosing, prototyping, and QA-ing low-cost 2D photoreal digital humans and high-control 3D custom digital humans. Use when the user wants a digital-human avatar, AI host, customer-service presenter, multimodal voice-to-lip-sync video stream, vendor comparison for services such as Silicon Intelligence / Tencent Zhiying / ZEGO-like real-time providers, or a UE/Unity 3D digital-human architecture and launch-ready demo.

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。

Ask the local Claude CLI to review plans, diffs, full codebases, completed work, and exploit chains when the user explicitly wants a Claude second opinion.

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。

Finish an existing Japanese creator, challenge, comeback, vlog, or community-building vertical social rough cut as an evidence-grounded short-form story. Use for strong opening declarations, identity and struggle arcs, crisis-to-goal recovery, multi-source B-roll and evidence stills, emotional typography, semantic punch-ins, pinned SFX, dialogue-first audio, platform-added music delivery, and creator-short retention 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。

Fetch a URL and save the body to a temp file so you can pipe it through rg / jq / awk instead of dumping the whole page into the conversation. Use this whenever a user gives you a URL to read - articles, docs, PRs, gists, README files, blog posts, anything HTTP. Returns a path on disk; the agent then greps the path for the relevant section and quotes only what matters. Strongly preferred over the built-in webfetch tool when (a) the page is more than a few KB, (b) the user wants to find a specific phrase / table / code block on the page, (c) you need to keep the long page out of context, or (d) you want to inspect raw HTML alongside rendered markdown. Triggers: 'fetch', 'fetch this URL', 'fetch and save', 'fetch the page', 'pull this', 'grab this article', 'read this URL', 'read the docs at', 'mirror this page', 'page is too long', 'save the page so I can grep it', 'put it on disk so I can rg', 'cache this URL'.

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。

Cinematic lighting: production-level key/fill/rim, ambient, shadows, tone mapping. Use when implementing, reviewing or testing cinematic lighting for React, Vite, Next.js or Perfect_AI projects.

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。

VibeFarsi design themes: production-level token mapping and palette integration. Use when implementing, reviewing or testing vibefarsi design themes for React, Vite, Next.js or Perfect_AI projects.

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。

Color science: production-level linear sRGB, Oklab, OKLCH gamut mapping. Use when implementing, reviewing or testing color science for React, Vite, Next.js or Perfect_AI projects.

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。

Detect lateral movement in network traffic using Zeek (formerly Bro) log analysis. Parses conn.log, smb_mapping.log, smb_files.log, dce_rpc.log, kerberos.log, and ntlm.log to identify SMB file transfers, Pass-the-Hash activity, remote service execution, and anomalous internal connections.

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。