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xp-harness の skill / agent に関する作業 (新規作成 / 設計 / 改修 等) で必ず発火させる、skill 設計の流儀 (構造 / 境界原則 / description の書き方) と判断軸。

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Build integrated IS/BS/CF financial workbooks in Excel.

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Build auditable financial workbooks headless via openpyxl.

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Build leveraged buyout workbooks with IRR/MOIC in Excel.

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Build discounted cash flow valuation workbooks in Excel.

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Build PowerPoint decks headless with python-pptx.

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Build M&A accretion/dilution workbooks in Excel.

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Build comparable-company valuation workbooks in Excel.

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Create, read, edit Excel .xlsx spreadsheets and CSVs.

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Knowledge base from the DoD Manufacturing Readiness Level (MRL) Deskbook (Version 2022, OSD ManTech / Joint Service–Industry MRL Working Group). Use for assessing and managing manufacturing maturity and producibility risk in defense acquisition: the 10-level MRL scale and its non-linear, target-not-grade nature; the five demonstration environments (laboratory → production-relevant → production-representative → pilot line → production line); the nine manufacturing-risk threads and sub-threads; how MRL targets map onto Adaptive Acquisition Framework milestones (MRL 4/6/7/8/9); conducting an MRL Assessment; building a Manufacturing Maturation Plan; putting MRL maturity into contract language (Section L/M, SOW, AS6500A, DIDs); tailoring criteria for S&T, single-system, ship, sustainment, and industry contexts; and screening operational-technology cybersecurity. Manufacturing-readiness focused — it measures producibility risk and frames mitigation; it is NOT a technology-readiness (TRL) guide, a full systems-engineering process model, a cost-estimating or schedule guide, or a deep cybersecurity audit method (see sibling packs for those).

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ユーザーストーリー一覧の新規作成・更新・レビューを支援する。AI駆動開発成果物フローのビジネス要求(D1)に位置する成果物で、プロダクト要求仕様書(PRD)とドメイン要求仕様書群を上流とし、利用者視点での要求事項を Connextra 形式の単一フラット表(1 ストーリー 1 アクター・ID は通し連番)で一覧化する文書。ドメイン別の章分割をせずスプレッドシート/Excel への移送を想定したフラット構造。下流のユースケース一覧・機能一覧(D2)・画面要件群(D2)・テスト計画の起点となる。PRD・ドメイン要求仕様書群の策定後、利用者視点での要求集約段階で呼び出す。

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ユースケース一覧の新規作成・更新・レビューを支援する。AI駆動開発成果物フローのビジネス要求(D1)に位置する成果物で、ユーザーストーリー一覧・ドメイン要求仕様書群を上流とし、**1 オペレーション(操作。ドメイン要求仕様書の業務状態遷移における 1 遷移)= 1 UC = 1 シーケンス図** の単位に分割した一覧。1 UC 1 行のフラット表で章分割せず、ID は通し連番(`UC-1`, `UC-2`, …)。**後続の D2 システム要件・D3 システム設計工程における最重要成果物であるシーケンス図の分割単位** となるため、各 UC は 1 本のシーケンス図に無理なく収まるオペレーション粒度(例: 設計書作成=「商品・特約選択」「保険料試算」「意向整合検証」「プラン比較提示・確定」に分割)とし、工程まるごとを 1 UC にしない。同一アクターのインライン例外(IRR)は同一 UC の alt 分岐に、別アクター・別トリガの収束業務とプロダクト共通能力(認証/中断再開/通知/帳票/同意/縮退/例外UX)は独立 UC に切り出す。ユーザーストーリー一覧の策定後、業務局面のオペレーション分解段階で呼び出す。

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Discover and execute specialized skills from a curated marketplace catalog on GitHub, fetched on-demand and run ephemerally (no permanent installation). The catalog covers a broad and growing range — document generation (PDF/Word/Excel/PowerPoint), visual design, presentations, web app testing, animated GIFs, dev tooling (MCP scaffolding, frontend components), creative outputs (algorithmic art), technical documentation lookup (library/API/framework references), and more. Consult this skill whenever the user asks for a capability that could plausibly be covered by a community skill — the catalog is the source of truth, not this description.

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Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

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中文求职统一入口。理解岗位发现、简历匹配、岗位比较和求职探索需求，按已明确的校招、实习或社招方向读取规则，决定必要补问、搜索策略和评估范围，复用公开招聘来源并交付候选清单或匹配 Excel；持续关注衔接岗位雷达。

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Generate professional documents — PDF, Word (.docx), Excel (.xlsx), and invoices — from natural language descriptions or structured data. Covers AI-powered and simple document creation, HTML-to-PDF conversion, PDF extraction/OCR, merging, watermarking, and data export. Use when you need to create campaign decks, reports, proposals, invoices, spreadsheets, or any shareable document — especially for Step 7 monthly presentations, campaign briefs, and analytics reports.

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Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

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Daily attendance register: check-in and check-out, hours worked, work mode, late minutes, leave and regularisation flags, as CSV, SQL, JSON Schema or Notion on request. Use for payroll input.

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Asset and IT register: serial, model, condition, assignee, location, purchase value, warranty expiry and return date, as CSV, SQL, JSON Schema or Notion on request. Use for asset audits.

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Alumni and re-hire register: former role, last working day, re-hire eligibility, current employer and re-engagement date, as CSV, SQL, JSON Schema or Notion on request. Use for alumni outreach.

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Announcement board: author, category, department, priority, audience, publish and expiry dates, status and acknowledgements, as CSV, SQL, JSON Schema or Notion on request. Use for internal notices.

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Access matrix of role-by-module permissions, with per-role scope, confidentiality level and SME tier, as CSV, SQL, JSON Schema or Notion on request. Use for access reviews.

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Read and write files in the shared session workspace. Use this to access files created by any skill — code-agent outputs, office documents, images, and more. All within the same isolated session.

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Test and prototype code in a sandboxed environment. Use for debugging, verifying logic, or installing packages.

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