財務三表や企業価値評価、資金調達の予測を、数式でつながるExcelモデルにまとめます。入力・計算・結果を分け、前提条件の変更による影響や数値の整合性も確認します。
- 財務三表を連動させて予測したいとき
- DCFで企業価値を試算したいとき
- 前提条件による結果の違いを比較したいとき
3.1万 件 ・ 関連度順
概要と使いどころ
財務三表や企業価値評価、資金調達の予測を、数式でつながるExcelモデルにまとめます。入力・計算・結果を分け、前提条件の変更による影響や数値の整合性も確認します。
障害の振り返りに向けて、Google Docsの報告書ひな形を作り、Google Calendarでレビュー会議を設定して、Chatでチームに知らせるスキル。
判断が必要な場面で、スキップや中止を含む明確な選択肢を示し、利用者の返答まで実行を止めます。保存先の選定や削除前の確認などに使える対話の手順です。
Pythonのプロバイダーアダプターを作成・修正・テスト・パッケージ化するスキルです。フレームワーク別の依存関係や公開インポート、型推論、メタデータを扱います。
症例ファイルと保険者の規定を照合し、医療サービスの事前承認や紹介状の要否、不足情報を整理して、人による確認に使う資料とチェックリストを作ります。
Takes an approved content brief and executes a campaign end-to-end: builds the posting calendar, generates Canva designs for social posts, drafts caption and email copy, and stages social sends in HubSpot. Canva is used for social posts only (Instagram, Facebook, X, LinkedIn) — email content is drafted as plain text and surfaced inline for the owner to send from their own tool. Every step requires explicit owner approval. This is the one-shot campaign executor: a finished brief goes in, a complete campaign comes out. Use when the owner hands off an approved brief or points at one — "run this brief," "execute the campaign," "turn this brief into posts," "build the campaign from the plan we approved." For day-to-day posting with no brief — "I need to post more," "what should we post" — use social-content-engine instead; it owns the standing calendar.
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。
Reconcile accounts by comparing GL balances to subledgers, bank statements, or third-party data. Use when performing bank reconciliations, GL-to-subledger recs, intercompany reconciliations, or identifying and categorizing reconciling items.
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 the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms. Also use when the user mentions 'LinkedIn post,' 'Twitter thread,' 'social media,' 'content calendar,' 'social scheduling,' 'engagement,' or 'viral content.' This skill covers content creation, repurposing, and platform-specific strategies.
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 incident response framework from detection through resolution and post-incident review. Battle-tested SRE/DevOps practices: severity classification, timeline reconstruction, structured post-incident analysis. Use when declaring an incident, coordinating multi-team response during an outage, leading a post-mortem, or setting up on-call practices for a new service.
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。
Senior SecOps engineer skill for application security, vulnerability management, compliance verification, and secure development practices. Runs SAST/DAST scans, generates CVE remediation plans, checks dependency vulnerabilities, creates security policies, enforces secure coding patterns, and automates compliance checks against SOC2, PCI-DSS, HIPAA, and GDPR. Use when conducting a security review or audit, responding to a CVE or security incident, hardening infrastructure, implementing authentication or secrets management, running penetration test prep, checking OWASP Top 10 exposure, or enforcing security controls in CI/CD pipelines.
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。
/cs:decide <memo> — Log a decision to two-layer memory via decision-logger. Approved memo becomes durable; raw transcripts kept for reference. Use when the founder has approved a boardroom memo and the decision must become durable company memory — e.g. right after /cs:boardroom concludes.
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。
Financial leadership for startups and scaling companies. Financial modeling, unit economics, fundraising strategy, cash management, and board financial packages. Use when building financial models, analyzing unit economics, planning fundraising, managing cash runway, preparing board materials, or when user mentions CFO, burn rate, runway, fundraising, unit economics, LTV, CAC, term sheets, or financial 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。
Generates operational guidance for CI/CD deployment pipelines, observability, monitoring, logging, and incident management on Google Cloud based on the design principles and recommendations in the Operational Excellence pillar of the Google Cloud Well-Architected Framework (WAF). Use when the user asks about operations-related topics like capacity management, change management, incident and problem management, configuration management, deployment automation using infrastructure as code (IaC), or operational health checks for Google Cloud workloads.
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。
Deploys a baseline landing zone foundation for a Google Cloud Organization, establishing security guardrails using Organization Policies, resource hierarchy folders and projects, billing association, and centralized logging and monitoring. Deploys Google Cloud's recommended security controls and architecture. Use when setting up a new Google Cloud Organization or establishing a secure, enterprise-grade landing zone foundation. Don't use for individual project onboarding (use google-cloud-recipe-onboarding or product-specific skills instead).
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。
Instrument an AI application with DeepEval's native tracing so its behavior is visible in Confident AI. TRIGGER when the user wants to add DeepEval tracing or @observe to an LLM app, agent, RAG pipeline, or chatbot; wire a framework, model-provider, or vector-database integration (LangGraph, LangChain, OpenAI Agents, LlamaIndex, Pydantic AI, CrewAI, and others); choose between a native integration and manual instrumentation; set span types, tags, or metadata; or send DeepEval-SDK traces to Confident AI's Observatory. DO NOT TRIGGER for building DeepEval pytest eval suites, datasets, goldens, metrics, or deepeval test run (use the `deepeval` skill), or for raw OpenTelemetry / OTLP export without the deepeval package (use the `deepeval-otel` skill). This skill is purely DeepEval-SDK instrumentation — producing well-formed traces, not running evals.
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 the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms. Also use when the user mentions 'LinkedIn post,' 'Twitter thread,' 'social media,' 'content calendar,' 'social scheduling,' 'engagement,' or 'viral content.' This skill covers content creation, repurposing, and platform-specific strategies.
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。
Review an existing verdaccio/verdaccio pull request end to end — description, diff, review threads, CI, labels, changeset, release-line coverage — verify the findings, and report them; optionally fix them on the PR branch when asked. Use when given a PR number or URL to review, re-review, or "review and fix".
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。
Take a change through a verdaccio/verdaccio pull request — branch, checks, changeset, title, body, labels, draft-to-ready, then the CI and review rounds after every push, plus the port PRs to other release lines. Use when opening a PR, after pushing to one, when a check fails, or when review comments arrive.
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。
Triage an incoming verdaccio/verdaccio GitHub issue against the codebase, the affected release line, and related issues, then choose the labels from the repository's existing taxonomy. Use whenever the user asks to triage, classify, assess, reproduce, prioritize, or label an issue, especially when an issue URL or number is 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。
Walk the user through design or implementation decisions one at a time, or review completed code one change at a time. Use when the user says "walk me through each decision", "let's decide together", "help me work through these choices", "walk me through what you did", or "QA step by step". Present concise context, mutually exclusive options, log each answer, and finish with a summary.
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。
ARS-Codex research, writing, manuscript review, study screening, and experiments. Use for deep research, literature or systematic reviews, meta-analysis, research questions, drafts, revisions, roadmaps, abstracts, citations, integrity checks, peer review, research-to-paper. Screen records: sr-screener. Citation triggers: check citations, look over the refs, 檢查引用, 檢查參考文獻, 인용 확인, 인용 형식 검사. Korean: 논문 심사, 논문 수정, 초록 작성, 체계적 문헌고찰, 연구부터 논문까지. Español: revisión de literatura, revisar artículo, enmendar mi artículo, escribir resumen, investigación a artículo. Also use for ARS aliases: /ars-plan, /ars-outline, /ars-abstract, /ars-lit-review, /ars-citation-check, /ars-disclosure, /ars-format-convert, /ars-3w, /ars-revision-coach, /ars-revision, /ars-reviewer, /ars-mark-read, /ars-unmark-read, /ars-cache-invalidate, /ars-rebuttal-audit, /ars-full. Prompts, references, templates, and contracts live under ars/.
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。
Defines service level objectives, creates error budget policies, designs incident response procedures, develops capacity models, and produces monitoring configurations and automation scripts for production systems. Use when defining SLIs/SLOs, managing error budgets, building reliable systems at scale, incident management, chaos engineering, toil reduction, or capacity planning.
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 citability scoring and optimization. Analyzes web page content to determine how likely AI systems (ChatGPT, Claude, Perplexity, Gemini) are to cite or quote passages from the page. Provides a citability score (0-100) with specific rewrite suggestions.
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。
Social engineering attack techniques beyond email phishing for authorized red team and physical penetration testing engagements. Covers pretexting methodology (persona creation, authority and urgency psychological triggers, rapport building), vishing (voice phishing via caller ID spoofing, IVR system exploitation, VoIP infrastructure setup with Twilio/Asterisk), smishing (SMS-based phishing, carrier gateway abuse, short code impersonation), physical social engineering (tailgating and piggybacking, RFID badge cloning with Proxmark3, lock picking and bypass, dumpster diving for sensitive documents), USB drop attacks (Rubber Ducky keystroke injection, Bash Bunny multi-vector payloads, O.MG cable covert implants, BadUSB firmware attacks), watering hole attack planning and execution, and OSINT-driven targeting (LinkedIn harvesting, organizational chart reconstruction, employee pattern analysis). Integrates with the Social Engineering Toolkit for attack automation, Proxmark3 for RFID/NFC cloning, USB Rubber Ducky and Bash Bunny for physical payload delivery, and BeEF for browser exploitation. Maps to MITRE ATT&CK T1598 (Phishing for Information), T1566 (Phishing), T1091 (Replication Through Removable Media), and T1189 (Drive-by Compromise). All techniques require explicit written authorization and defined rules of engagement.
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。