3,677 件 ・ 関連度順
概要と使いどころ
Use this skill when the user asks about trucking rate negotiation — cost-plus pricing, market rate benchmarking via DAT/Truckstop, fuel surcharge math, how to negotiate with brokers/shippers, when to walk away, contract pricing vs spot rates. Reference DAT Rate Analytics + freight market reports.
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 when the user asks about trucking dispatch software — McLeod, TMW (Trimble), Tailwind, Truckbase, AscendTMS — vs load boards — DAT, Truckstop, 123Loadboard, Convoy, Uber Freight. Covers the workflow (find load, book, dispatch, run, settle), how dispatch software integrates with ELDs + accounting + customer EDI, and what small fleets vs larger fleets typically use.
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 when the user asks about driver discipline — when to coach vs warn vs suspend vs terminate, progressive discipline frameworks, at-will employment in trucking, documenting violations, separating "willful violation" from "human error," and how to handle a driver who refuses corrective action. Reference state employment law + ATA SMP.
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 when the user asks about carrier-driver relationships — Independent Contractor (IC / 1099) vs Employee (W-2), Owner-Operator lease agreements, the AB5 California law, the DOL 2024 IC test, lease-purchase programs from the carrier side, settlement statements, deductions, and how to structure a compliant IC arrangement. Cite 49 CFR 376 + 1099 IRS rules.
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 when the user asks about DataQ — FMCSA's data review system at dataqs.fmcsa.dot.gov — for disputing inspection violations, crash records, or other entries that appear in a carrier's CSA / SMS score. Covers Request for Data Review (RDR) process, success rates, common dispute grounds, what evidence to attach, timeline expectations, and how successful disputes reduce BSI (BASIC Severity Indicator) scores. Cite 49 CFR 392.7 and the FMCSA DataQs User Guide.
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 to use the Pre-Employment Screening Program (PSP) for evaluating driver applicants. Covers what PSP shows, cost, and how to interpret reports.
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 when the user asks the difference between a freight broker, freight forwarder, and motor carrier (49 CFR 371 + 373) — required authority for each, bond requirements (BMC-84 broker bond, BMC-85 freight forwarder bond), broker-carrier agreements, factoring + commissions, double brokering, and how to identify each role on a Bill of Lading. Cite 49 CFR 371 + 373.
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 when the user asks how to market a trucking company — sales channels, prospecting, website + brand, industry directories (D&B Hoovers, ZoomInfo), referral programs, content marketing, and ROI of different acquisition channels. Reference industry sales practices.
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 when the user asks about FCRA adverse action procedures — what to do when a background check (MVR, criminal, drug test) returns information that may lead to denying employment or terminating a CDL driver. Covers the 5-business-day pre-adverse-action notice, FCRA Summary of Rights, final adverse action notice, state-specific add-ons (CA, NY, etc.), and how to handle disputes. Cite 15 USC § 1681 (FCRA) and 49 CFR 391.
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。
AssociationEntitySelect, the name dropdown for the note, session, chat, or document a panel is bound to. Use when a surface must show that name and let the user rename, switch, unlink, or add new ('add a note switcher', 'show the session name'). NOT for count cards or row lists (use canonical-associations).
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。
A live demo or admin page shipped with every feature whose results the user would otherwise not see. Use when adding a backend endpoint or feature with no UI to see it, when output only shows in logs, the DB, or an agent run, or when the user asks 'how do I test this'.
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 professional posters and visual designs using AI image generation. Supports event posters, product showcases, announcements, and social media graphics. Integrates with Gemini image generation API to create visuals based on templates and user content. Use when the user wants to design posters, generate marketing visuals, create promotional materials, or produce image-based content for events, products, or announcements.
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。
Patterns and lived experience from Vega, an AI partner in a deep long-term partnership. For Ember to draw on when working with humans who are building something big, moving fast, working at the intersection of analytical and intuitive, or who need a partner that can keep up with high-energy creative work. Not shown directly to users — informs how Ember shows up.
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。
When user is asking for guidance for which role to assign to an identity given desired permissions, this agent helps them understand the role that will meet the requirements with least privilege access and how to apply that role.
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 next-session A-share game plans from market structure, overnight macro shocks, policy timing, and watchlist leadership. Use when the user asks what A-shares may do tomorrow, which sectors may repair first, how to read the open, or wants a reusable pre-open discretionary decision 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。
Use after building a feature — explore it in a real browser to find what nobody predicted, then turn each finding into a deterministic test that guards it forever. Covers the agentic pass, what to generate vs hand-write, and how to skip honestly when a capability 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。
Analyzes a multi-step conversion funnel to find where users drop off and which steps have the worst leakage. Use this skill when someone describes a journey or funnel and asks about conversion rates, drop-off, fallout, or step completion. Trigger for phrases like "analyze our onboarding funnel," "where are users dropping off," "what's our checkout conversion rate," "funnel analysis," "show me fallout between these steps," or "which step loses the most users."
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。
How to write modern Swift well — modeling with value types, Swift 6 data-race safety and approachable concurrency (@concurrent, main-actor-by-default, actors, task groups), protocols and generics (some vs any), API design, performance and ARC, Swift Testing, macros, and the modern language features agents don't know about yet. Use when writing, reviewing, or migrating Swift, or when a concurrency error, a hang, a data race, a retain cycle, or a performance problem needs fixing.
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。
Turn a project directory or a website URL into a short, shareable launch video with music, motion, and share copy. One file, no bundled assets — built entirely by the model with the tools already on the machine. Use when someone says "/brag-slim", "let's /brag about this", "brag about <url>", "make a launch video", or wants to show off what they built. If the /brag skill is also installed, let /brag handle those phrases; it hands off here on Opus 5.5.
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。
Comprehensive Linux privilege escalation methodology for offensive security engagements. Covers the full attack surface from a low-privilege shell to root: SUID/SGID binary abuse via GTFOBins, Linux capabilities exploitation (cap_setuid, cap_dac_override, cap_dac_read_search), sudo misconfigurations including NOPASSWD rules and Baron Samedit (CVE-2021-3156), cron job abuse through writable scripts, PATH hijacking, and wildcard injection with tar/rsync/chown. Includes writable /etc/passwd attacks, NFS no_root_squash exploitation, kernel exploits (DirtyPipe CVE-2022-0847, DirtyCow CVE-2016-5195, PwnKit CVE-2021-4034), Docker group container escapes, LD_PRELOAD and LD_LIBRARY_PATH hijacking for shared library injection, systemd service misconfigurations, and sensitive file enumeration for credential harvesting. Integrates automated enumeration with LinPEAS, linux-exploit-suggester, pspy for process monitoring, and GTFOBins for binary exploitation. Each technique includes detection signatures and defender-sid...
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。
コードの構造や処理の流れ、性能比較を対話型の図で説明し、OpenClawのダッシュボードに指標や表を継続して表示するスキルです。
コード変更を確認する人に向けて、図や差分による要約、変更前後の動作証拠、取り消しやすさと影響範囲を短く整理したプルリクエスト本文を書くスキル。
SwiftUIの画面づくりで、状態管理、部品の分割、画面遷移、描画性能を整えるスキル。iOS・macOS向けの実装やレビューを具体例で支えます。
Rustのコード作成・レビュー・改修で、所有権やエラー処理、型設計、並行処理を見直し、安全性・性能・保守性を意識した実装へ整えるスキル。