Knowledge base synthesized from the Guide to the Systems Engineering Body of Knowledge (SEBoK) v2.14 by the BKCASE Project. Use for the established systems-engineering canon: SE fundamentals and foundations (systems science, systems thinking, the systems approach, modelling/MBSE), the life cycle (ISO/IEC/IEEE 15288/24748/24774 process, development & agile approaches, model selection/tailoring), technical management, concept definition, architecture/realization (the Vee), V&V, maintenance/sustainment, SE standards, and the application contexts (product, service, enterprise, systems-of-systems, healthcare), plus enabling SE (business/team/individual), related disciplines, quality attributes/specialty engineering, implementation examples, and emerging knowledge. Good for grounding background, vocabulary, and prior-art positions across all eight SEBoK Parts. SCOPE LIMITS: this pack is SEBoK v2.14 only (released 2026-05-18); it synthesizes and signposts rather than reproducing the source — it does not reproduce ISO/IEC/IEEE standard text, is a curated guide (not a complete textbook), and is thin on AI-integration depth (Part 8 is a staging area, not settled practice). LICENCE: content is CC BY-NC-SA 3.0 — non-commercial use only, attribution to the BKCASE Project required, share-alike obligations carry forward.
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。
jgsystemsconsulting/jgs-se-knowledge-packs☆ 82026年10月9日 更新
Orchestrator (not a knowledge pack): routes a free-text systems-engineering question to the right catalogue pack(s), reads them with you, and answers with pack and chapter citations. Runs only on explicit `/se <question>`; carries no source content. Use when you do not know which `/pack` to ask.
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。
jgsystemsconsulting/jgs-se-knowledge-packs☆ 82026年10月9日 更新
Knowledge base from the NASA Fault Management Handbook (NASA-HDBK-1002, Draft 2, April 2012). Use for the systems-engineering discipline of designing what a system does when it fails — the fault/failure/anomaly vocabulary, the five FM strategies (two prevention strategies — design-time fault avoidance and operational failure avoidance — plus three tolerance strategies — failure masking, failure recovery, and goal change), the six FM process activities across NASA mission phases Pre-A to E, response-latency-versus-time-to-criticality (TTC) design trades, fault/failure containment regions and FEPPs, the four redundancy approaches, top-down FM requirements development, FM verification vs. validation, the seven dedicated FM milestone reviews (FMCR/FMARR/FMPDR/FMCDR/FMTRR/FMLRR/FMCERR), FM organizational structure, and mined NASA Lessons Learned. Space-mission oriented (flight/ground/operations); spacecraft examples throughout. IMPORTANT: built from an UNAPPROVED DRAFT — several sections (detailed architecture building blocks, the Assessment & Analysis guidance, and Operations & Maintenance) are placeholders in the source and are thin here. Thin on detailed FDIR algorithms, terrestrial/IT fault management, and any approved-standard terminology that may have changed since Draft 2.
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。
jgsystemsconsulting/jgs-se-knowledge-packs☆ 82026年10月9日 更新
Knowledge base from the FAA Human Factors Design Standard (HF-STD-001B, 2016) — the FAA's consolidated human-factors / human-systems-integration design criteria for systems it manages, operates, or maintains. Use for requirement-level design rules on: general human-factors design principles; automation and function allocation; designing equipment for maintenance; displays, controls, and visual indicators; alarms, audio, and voice communications; the computer-human interface (information presentation, coding, interaction styles, windows, dialogue); keyboards, input devices, and workstation/workplace ergonomics; system security, personnel safety, environment, anthropometry, and user documentation; plus intended-use and tailoring guidance. It is a quantified, source-attributed synthesis (heavily citing MIL-STD-1472G, MIL-HDBK-759C, DOD-HFDG-ATCCS, NUREG-0700, NASA-STD-3000, ANSI, OSHA, ISO 9241). Complements nasa-hsi as a parallel HSI tradition from the civil-aviation domain. Scope limits: it is design criteria, NOT an HSI lifecycle/process model (use nasa-hsi, nasa-npr-7123, or dau-se-guidebook for process); it does NOT reproduce the third-party standards it cites; it is FAA-acquisition-oriented (ATC, towers, TRACONs, airway facilities), not a general consumer-UX guide; and it is thin on modern touchscreen/mobile, web, and AI-driven interface patterns and on quantitative human-reliability 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。
jgsystemsconsulting/jgs-se-knowledge-packs☆ 82026年10月9日 更新
Knowledge base from MIL-HDBK-61B, the DoD Configuration Management (CM) guidance handbook (7 April 2020, cataloged with Change 1, 2025). Use for defense CM across the acquisition and sustainment life cycle: the five CM functions (planning, identification, control/change management, status accounting, verification & audit), the three configuration baselines (FBL/ABL/PBL) and FCD→ACD→PCD documentation, configuration items (CIs/HWCI/CSCI), change instruments (ECP/NOR/RFV), the CCB and Class I/II classification, CDCA/AA authority, FCA/PCA audits, data management and data rights (CDRL/DID, DFARS rights ladder, master/authoritative source), and tailoring CM by phase (EIA-649-1 R/T/NR matrix, Appendix C templates), plus digital-era CM (digital twin, viewpoints, MOSA). NOTE: 61B is advisory guidance that adopts and points to the SAE EIA-649 / EIA-649-1 / GEIA-HB-649 suite for the authoritative CM requirements — this pack names and describes that suite but does not reproduce its copyrighted requirement text. Thin on: the EIA-649 requirement clauses themselves, form-level detail (DD-form field instructions, full DID content), and non-DoD/commercial CM frameworks.
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。
jgsystemsconsulting/jgs-se-knowledge-packs☆ 82026年10月9日 更新
Signpost (not a knowledge pack) for the functional safety standards landscape: IEC 61508, ISO 26262, ISO/SAE 21434, UL 4600, SAE J3016, and ASPICE. Contains NO source content: designation, edition, owner, status, and an official catalogue URL only. Use when you need to identify or locate a functional safety standard. All six are paywalled or carry no redistribution grant and cannot be packaged; open paths point at US Government packs, which are not equivalents.
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。
jgsystemsconsulting/jgs-se-knowledge-packs☆ 82026年10月9日 更新
Knowledge base from the GAO Schedule Assessment Guide (GAO-16-89G, 2015). Use for building, assessing, or auditing a program's integrated master schedule (IMS): the ten best practices of a reliable schedule (capture, sequence, resource, duration, traceability, valid critical path, reasonable total float, schedule risk analysis, updating, baseline), the four characteristics (comprehensive, well-constructed, credible, controlled), critical path method arithmetic (forward/backward pass, total float), schedule risk analysis (Monte Carlo, contingency), statusing and baseline control, and the Appendix II audit triad. Scheduling/time-management oriented: it is the authority on schedule reliability, but it is NOT a cost-estimating guide, a full SE process model, an agile guide, or a risk-management framework — see sibling packs (gao-cost, dau-se-guidebook, nasa-schedule, nasa-risk) for those.
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。
jgsystemsconsulting/jgs-se-knowledge-packs☆ 82026年10月9日 更新
Knowledge pack from 'Towards Digital Engineering: The Advent of Digital Systems Engineering' (Huang et al., Old Dominion University, arXiv:2002.11672, 2020). Use when reasoning about digital engineering, the DoD Digital Engineering Strategy and its five goals, the Authoritative Source of Truth, digitalization vs. digitization, digital augmentation, digitalized models, provenance, unique identification, and the four-level (vision/strategy/action/foundation) DSE research framework. Covers the conceptual/vision layer of the field. SCOPE LIMITS: this is a single ~28-page vision paper, not a methods handbook — it is thin on step-by-step procedures, tooling, case studies, and quantitative evaluation, and it predates 2020 so it does not cover later digital-engineering standards or recent AI/LLM advances. Use the sebok pack for established SE canon and MBSE depth.
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。
jgsystemsconsulting/jgs-se-knowledge-packs☆ 82026年10月9日 更新
Knowledge base from the FAA Systems Engineering Manual (SEM) v1.0.1. Use for civil-agency systems engineering as the FAA practices it inside the Acquisition Management System (AMS) and the National Airspace System (NAS): the five-phase AMS lifecycle and its decision points; operational concept development and implementation-free functional analysis (ConOps, FFBD/N², CMLs); requirements analysis and architectural design synthesis (PRS→MRS, the PRD ratchet pPRD→iPRD→fPRD, RAM, ISEF/DoDAF views, CPRs); the seven technical management disciplines (Integrated Technical Management/SEMP, Interface Management/IRD-ICD, Risk-Issue-Opportunity, Configuration Management, SE Information Management, Decision Analysis, Verification & Validation); and the specialty disciplines (RMA via Service Threads/STLSC, Life Cycle Engineering, E3/Spectrum, Human Factors, Information Security via the NIST RMF, System Safety via the SMS, and Hazardous Materials/Environmental/EOSH). Scope limits: this is FAA-specific guidance, not policy — it is a tailorable menu that points outward to companion handbooks (FAA-HDBK-006A for RMA, the SMS Manual, the NIST 800-series) rather than restating generic SE theory; it is thin on detailed cost estimating, contracting/FAR law, software-development methodology, named anti-pattern catalogues, and any non-FAA or non-civil-aviation lifecycle. Source has no page numbers in the extracted text (~360 pp.).
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。
jgsystemsconsulting/jgs-se-knowledge-packs☆ 82026年10月9日 更新
Signpost (not a knowledge pack) for the automotive standards landscape: ISO 26262, ASPICE, SAE J3016, UNECE R155, UNECE R156, and the NHTSA vehicle set. Contains NO source content: designation, edition, owner, status, and an official catalogue URL only. Use when you need to identify or locate an automotive standard. Most are paywalled or carry no redistribution grant and cannot be packaged; the one open path is the nhtsa-vehicle pack.
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。
jgsystemsconsulting/jgs-se-knowledge-packs☆ 82026年10月9日 更新
Ориентированная на решение краткосрочная терапия по де Шейзеру и Берг: Чудо-вопрос, исследование исключений, шкалирование, активация ресурсов.
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。
ellmos-ai/skills☆ 82026年10月14日 更新
Terapia Breve Centrada en Soluciones según de Shazer y Berg: Pregunta del milagro, exploración de excepciones, escalamiento, activación de recursos.
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。
ellmos-ai/skills☆ 82026年10月14日 更新
ドゥ・シェーザーとバーグによる解決志向ブリーフセラピー(SFBT):ミラクル・クエスチョン、例外の探索、スケーリング、リソースの活性化。
ellmos-ai/skills☆ 82026年10月14日 更新
德·沙泽尔与伯格的焦点解决短期心理治疗(SFBT):奇迹提问、例外探索、评定量表、资源激活。
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。
ellmos-ai/skills☆ 82026年10月14日 更新
Genogram work: Recognizing and reflecting on family relationship patterns. Multigenerational perspective, genogram symbols, pattern recognition, and resources in family history.
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。
ellmos-ai/skills☆ 82026年10月14日 更新
Fetch video transcripts (subtitles) and metadata from online video sources and output them as Markdown, JSON, or plain text. Currently supported: YouTube. Prefers manually created subtitles, falls back to auto-generated ones.
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。
ellmos-ai/skills☆ 82026年10月14日 更新
Points to the standalone module law-checker ("Legal Department"): source-grounded AI first-look legal assessments for German law with a statute registry and a statute-embodiment agent. Use this skill when a situation, contract, official notice, or legal question under German law should be checked with exact citations (article/section, paragraph, sentence) -- with a clear boundary: AI-assisted first orientation, not a substitute for a lawyer.
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。
ellmos-ai/skills☆ 82026年10月14日 更新
Use whenever several decisions are pending or have accumulated -- whether within a topic, project, document, or over the course of a session: inventory them, present a numbered briefing with options A/B/C/D and a marked recommendation, accept letter answers (including batches), record the results, and write them back into the source documents.
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。
ellmos-ai/skills☆ 82026年10月14日 更新
Genogramm-Arbeit: Familien-Beziehungsmuster erkennen und reflektieren. Mehrgenerationen-Perspektive, Genogramm-Symbole, Muster-Erkennung und Ressourcen in der Familiengeschichte.
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。
ellmos-ai/skills☆ 82026年10月14日 更新
Project-first Research pipeline with live gates, source/PDF evidence, claim boundaries, compute and publication controls; includes an optional PubMed/arXiv standard-library helper.
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。
ellmos-ai/skills☆ 82026年10月14日 更新
Creates a personalised daily newspaper from RSS feeds and web sources. Ported from the BACH news system (news.py + newspaper_generator.py). Own SQLite store (no Origin-DB). feedparser optional — XML fallback via stdlib. PDF export via Edge Headless (msedge.exe).
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。
ellmos-ai/skills☆ 82026年10月14日 更新
Route planning from A to B via OSRM (Open Source Routing Machine). Supports car, bicycle and pedestrian. No API key required.
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。
ellmos-ai/skills☆ 82026年10月14日 更新
Builds a DRAFT proposal skeleton from a discovery summary (call notes, discovery brief, CRM record, emails) and the organisation's own proposal template: every template section in order, pre-filled only where the discovery material supports it with the source beside each line, and every section still needing a human input marked HUMAN INPUT with the owner role and the question to answer. Use when the user asks to "start the proposal for <prospect>", "build the proposal skeleton from the discovery notes", "pre-fill our proposal template", "what do we already have for the proposal" or "first cut of the proposal". Do not use for answering a formal RFP, RFQ or tender question set, use rfp-response-drafter instead; for turning a priced estimate into a statement of work use estimate-to-sow. Drafts for human review; never approves, authorises or signs off.
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。
kesslernity/awesome-copilot-agent-skills☆ 82026年9月19日 更新
Drafts one weekly status update or team status email (done, in progress, blocked, next, asks) from the notes, task lists, tracker exports and messages the user attaches, pastes or makes reachable, every bullet traced to a source and every gap marked UNKNOWN, returned in the chat as Markdown for the user to review and send. Use when the user asks to "write my weekly status update", "draft the team status email", "turn my notes into a status report", "what did we get done this week", "summarise this week for my manager" or "prepare Friday's update". Do not use for maintaining a project's living logs or a project-level report built from them, use project-status-tracker instead. Drafts for human review; never approves, authorises or signs off.
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。
kesslernity/awesome-copilot-agent-skills☆ 82026年9月19日 更新