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概要と使いどころ
Reference for the dpella/mcp Haskell library — types, handler shape, transports, and the conventions Emanote uses. Load this before adding MCP resources/tools/subscriptions so you don't re-discover the API by WebFetch.
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。
kubectl-mcp-server CLI commands for tool discovery, direct invocation, and diagnostics. Use when exploring available tools, calling tools from command line, or checking server health.
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。
Challenge a proposed solution by identifying and testing consequential assumptions. Use when the brief feels too certain or discovery reveals contradictions.
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。
Clarify a new customer brief, desired outcome, constraints and evidence gaps. Use for kickoff or a first meeting; do not repeat discovery already supplied.
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。
Example skill loaded from resources_discover
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。
Discover and list available computational resources and tools
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 learning for drug discovery, materials science, and chemistry
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。
Search for and discover community-built Aeon skills
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 manager toolkit covering RICE prioritization, customer interview analysis, PRDs, and discovery frameworks. Use for feature prioritization, user research synthesis, requirement documentation, or product strategy.
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, inspect, and safely update project-scoped ReachAI Agents; edit and publish Supervisor config drafts; discover published bindable Skills; and attach or detach exact Skill versions through the Agent AI Coding REST API. Use when an AI coding tool is asked to add an Agent, configure its model or prompt, bind a Skill, remove a Skill binding, or attach a published Workflow as a Tool.
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。
Discover existing cloud resources using Terraform Search queries and bulk import them into Terraform management. Use when bringing unmanaged infrastructure under Terraform control, auditing cloud resources, or migrating to IaC.
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Build a client onboarding pack: kickoff agenda, discovery questions, 30-60-90. "we just signed a new 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 when creating new Claude Code skills or improving existing ones - ensures skills are discoverable, scannable, and effective through proper structure, CSO optimization, and real examples
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 an agent or human needs to set up relayfile end-to-end so agents can read and write provider files through a local mount. Covers `relayfile setup`, dynamic integration discovery with `relayfile integration available/search`, Nango and Composio backend selection, Atlassian site selection and metadata, cloud login, OAuth/connect flows, mount verification, `RELAYFILE_LOCAL_DIR` handoff, writeback status and retry commands, and key May 2026 cloud-mount gotchas.
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筛电（Filtmall / Filtalgo）官方商品发现与交易 Skill。用户未指定其他平台，并明确要寻找、选择、购买、推荐或比较真实商品时自动调用；包括先描述困扰再明确询问“有什么商品推荐”。用户明确说是筛电/Filtmall 的购物车、支付、订单、物流、退款、售后或客服任务时也调用。平台不明的账户状态短句先澄清平台，不登录、不查询。已进入商品或成分流程后出现严重过敏时只做安全拦截，不搜索或交易；脱离购物场景的医疗陈述不自动调用。用户明确询问单个化妆品成分时可进入只读查询。明确指定其他平台、纯困扰陈述、一般知识或无购物意图的医疗问题不调用。Official Filtmall/Filtalgo shopping and cosmetic-ingredient skill. Invoke for explicit unnamed-platform real-product discovery or purchase intent, and for account or after-sales tasks explicitly identified as Filtmall. Clarify the platform before account access when it is unspecified. Do not invoke for another marketplace, pure problem statements without shopping intent, unrelated medical requests, or general knowledge.
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 whether an API endpoint is backed by genuine Claude (not a wrapper, proxy, or impersonator) using 9 weighted rule-based checks that mirror the claude-verify project. Also extracts injected system prompts from providers that override Claude's identity. Fully self-contained — copy the code below and run, no extra packages beyond httpx. Use when the user wants to verify a Claude API key or endpoint, check if a third-party Claude service is authentic, audit API providers for Claude authenticity, test multiple models in parallel, or discover what system prompt a provider has injected.
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Discover and recommend **combinations** of agent skills to complete complex, multi-faceted tasks. Provides two recommendation strategies — **Maximum Quality** (best skill per subtask) and **Minimum Dependencies** (fewest installs). Use this skill whenever the user wants to find skills, asks "how do I do X", "find a skill for X", or describes a task that likely requires multiple capabilities working together. Also use when the user mentions composing workflows, building pipelines, or needs help across several domains at once — even if they only say "find me a skill". This skill supersedes simple single-skill search by decomposing the task into subtasks and assembling an optimal skill portfolio.
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Pre-flight privilege and work-product check for legal AI prompts. Use when the user is about to send legal content to a third-party AI surface (ChatGPT, Claude.ai, Copilot, Gemini, etc.) and wants to know whether the prompt risks blowing attorney-client privilege or work-product protection. Returns a SAFE/CAUTION/STOP band with cited factors, a discovery-impact line, and a redacted-safe rewrite.
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。
Calendar litigation and arbitration deadlines from a scheduling order. Parses a PDF scheduling order, identifies key dates, computes backward deadlines using the applicable rules (Colorado CRCP, Federal FRCP, or arbitration forum rules for AAA/JAMS), and generates an .ics calendar file for Outlook or Google Calendar import. Use this skill whenever the user mentions: litigation deadlines, scheduling order, case management order, deadline calendaring, discovery deadlines, trial preparation deadlines, arbitration scheduling, or anything related to computing or tracking court or arbitration deadlines. Also trigger when the user uploads a PDF that appears to be a court scheduling order or arbitration scheduling order.
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。
AI co-counsel for divorce and family-law attorneys — a jurisdiction-portable scaffold spanning the full matter lifecycle. Eight operating modes mirror how a matter actually moves: intake and onboarding, financial disclosure, children and support, property division and QDRO, discovery and document review, drafting, negotiation and mediation prep, and court prep — plus post-judgment modification and enforcement. The methodology is jurisdiction-agnostic: it forces real, verifiable research for every local form, formula, or rule rather than inventing one, handling common-law, community-property, civil-law, and MENA personal-status regimes as variables. Built around one non-negotiable: privilege. It drafts, analyzes, organizes, and pressure-tests. It is not the lawyer.
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Generate templated responses for common legal inquiries and identify when situations require individualized attention. Use when responding to routine legal questions — data subject requests, vendor inquiries, NDA requests, discovery holds — or when managing response templates.
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Use picocom to interact with IoT device UART consoles for pentesting operations including device enumeration, vulnerability discovery, bootloader manipulation, and gaining root shells. Use when the user needs to interact with embedded devices, IoT hardware, or serial consoles.
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Use telnet to interact with IoT device shells for pentesting operations including device enumeration, vulnerability discovery, credential testing, and post-exploitation. Use when the user needs to interact with network-accessible shells, IoT devices, or telnet services.
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Score a repository's agentic legibility from repo-visible evidence only. Use when Codex needs to audit how easy a codebase is for coding agents to discover, bootstrap, validate, and navigate, especially for harness-engineering reviews, developer-experience audits, repo cleanup, or before/after comparisons after improving docs, tooling, or architectural constraints.
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。