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Ask clarifying questions before implementing to ensure Python requirements are understood. Use when a task lacks detail, dependencies are unclear, or multiple interpretations are possible.

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 Python dependencies, lock files, and project environments using the uv package manager.

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 adding or changing REST endpoints or the OpenAPI contract — deriving endpoints from the Lean commands and views, writing documents/codebase/openapi.yaml first, then regenerating the backend controller interfaces and the frontend client.

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 infrastructure implementation phase after the backend follows the model — turning documents/infra-design decisions into infra/ (local container stack, production IaC), wiring cradle.json infra.up / infra.containers, adding IaC validate and image build steps to CI, and, once E2E passes, applying production once in a sandbox and recording it in the deployment table. Not for designing infrastructure (infra-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。

Use when you need the current position in the Lean spec-driven pipeline, or any deterministic check of a Cradle project — status, golden regression, Lean layer walls, regeneration impact, unslop lint, ddd cleanup. Runs the scripts under scripts/ and reports their output verbatim.

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 create, update or verify the Lean 4 executable specification under lean/ from the exploration documents (event-timeline, hotspots, ubiquitous-language, ux-review, model-review) — initial generation, reflecting a session's results, fixing lake build, adding a command or a screen, checking a proposed feature against the model. Formalization questions go to model-review.md as MQ, never to the expert 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。

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation

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 before implementing any feature, behavior change, or refactor - settles requirements and design, then gets the design independently reviewed and approved by the user before code is written

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。

学生問い合わせを AI 回答／有人対応に振り分ける基準を整備したい、24 時間対応化の設計をしたい、 履修・奨学金・証明書 FAQ のチャットボット導入企画書を書きたい場面で使う学生支援・教務職員向けスキル。 問い合わせ分類・AI/人間振り分け・有人エスカレーション経路・時間帯別応答設計の判断フレームを提供する。

claude-org-runtime のリリース (release-* タスク / vX.Y.Z タグ発行) を、 同 PyPI 発行を受ける claude-org-ja 側の expectation 同期と ペアで設計・委譲・完了させるためのワークフロー。 DEFAULT_NOTIFY 値・classifier vocabulary・role_configs_schema (ja 側ミラー: org_extension_schema)・attention.example.json テンプレ等が 変わるリリースで発動する。 CI cascade を予測・予防し、ja-side の red を回避することを目的とする。

Generate 3D models, textures, images, rig characters, and animate them using the Meshy AI API. Handles API key detection, setup, and all generation workflows via direct HTTP calls. Use when the user asks to create 3D models, convert text/images to 3D, texture models, rig or animate characters, or interact with the Meshy API.

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。

Create a construction plan for a multi-step engineering task that requires multiple PRs or a phased approach. Produces a self-contained plan file with dependency graph, review gates, and step-by-step execution instructions for coding agents. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex task, or describes work that clearly needs multiple PRs. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, user asks to modify/update an existing plan, user says "just do it", or user asks for code review/audit.

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。

Professional resume builder and personalizer. Use this skill when the user wants to create a new resume, update their existing one, or tailor a resume for a specific job description (ATS-friendly).

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。

Automatically syncs Gmail and Google Calendar with a Notion database to keep track of the status of job applications the user has submitted. Use this skill whenever the user asks to "sync my job applications," "update my job tracker," "check where my interviews stand," or something similar — even if they don't explicitly mention Notion, Gmail, or Calendar, and even if they don't have a Notion database set up for this yet. Requires (or guides the user through setting up) the Notion, Gmail, and Google Calendar MCP connectors.

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。

Install and wire a Telegram MCP server (chigwell/telegram-mcp, MTProto user account, not a bot) so Claude Code, Claude Desktop, Codex or any MCP client can read your chats and send replies. Use when connecting an agent to a personal Telegram account, applying the kit patches (shared SSE daemon, search_dialogs, multi-account), generating a session string, or debugging file tools that silently refuse, orphaned uv processes, database is locked, AuthKeyDuplicated or flood-wait.

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。

Intelligent README.md generation prompt that analyzes project documentation structure and creates comprehensive repository documentation. Scans ./ directory files and creates a README.md file for the project. Only used when creating a new repository. or when the README.md file is missing.

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。

Multi-timeframe crypto technical analysis with scored trading signals, structured trade plans, and position sizing via Binance public API. Use when user asks to "analyze BTC", "what's the signal on ETH/USDT", "crypto analysis", "trade setup for SOL", "scan crypto pairs", "check the trend on BTC", "multi-timeframe analysis", "generate a trading signal", "what's the bias on ETH", "TA on BTC/USDT", "is it a good time to buy BTC", or "position size for a crypto trade".

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。

Natural, identity-preserving portrait retouching with a local CLI and a Busabase-backed review app. Use when the user asks to 美颜, 修人像, 磨皮, 提亮肤色, portrait retouch, headshot cleanup, profile-photo polish, before/after comparison, or batch portrait enhancement. Default to local non-destructive processing, preserve facial structure and skin texture, and require explicit approval before replacing or publishing any image.

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 App-in-Skill control-panel/workspace for a deal analyst to model revenue-based-financing (RBF) deals for SME businesses (retail/F&B chain stores). Use when the user invokes $kelly-revshare-simulator or /kelly-revshare-simulator, wants to model a revenue-share or merchant-cash-advance deal, project cash flow and repayment, compute a Cash-Flow Payout Multiple, effective annualized merchant cost, or compare/underwrite multiple financing scenarios. Pure deterministic math, no external calls, no real trading/payment side effects. Scenario create/edit/delete and the underwriting decision are direct writes made by the analyst, not a review/approval queue.

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。

GitHub pull request review desk (Busabase App-in-Skill) using the gh CLI for real GitHub access, an AirApp review UI for human approval, and a trusted gh pr review execution step. Use when the user invokes /kelly-pr-review or $kelly-pr-review, asks to review GitHub PRs, generate a PR review batch, approve/comment/request changes through the review UI, or execute approved GitHub reviews.

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 App-in-Skill dashboard for a revenue-based-financing (RBF) fund or private-credit book of many small SME contracts. Use when the user invokes $kelly-portfolio-health or /kelly-portfolio-health, wants to check portfolio health, AUM, repayment progress, concentration risk, or a watchlist of contracts with declining revenue. Human actions (flag a contract for review, clear a flag, leave a note) write directly onto the contract's own Busabase record — this skill never moves money or changes contract terms. Generic and brand-free — not tied to any specific company or fund.

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 customer-support desk (help desk) that triages incoming support tickets from email, WhatsApp, web chat, contact forms, and WeChat, drafts KB-grounded replies, and proposes actions, then holds every send behind a human approval queue with a pre-send quality gate (support-qa) that outputs SHIP/FIX/BLOCK, plus SLA and CSAT tracking. Use when the user invokes $kelly-support or /kelly-support, mentions 客服 / 工单 / 支持台, a support desk, help desk, customer service, support tickets, ticket triage, a knowledge base or canned macros, SLA / first-response time, CSAT, escalations, or refund requests, wants incoming tickets triaged into a needs_review → approved → done pipeline, agent-drafted replies grounded in a knowledge base and reviewed before sending, refunds and commitments gated behind human approval, or breaching-SLA tickets surfaced. This is the OPERATOR desk (agent + human), distinct from a visitor-facing chat bubble.

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。