Load when the user asks to create, find, update, assign, label, prioritize, transition, or organize ISLAMU Event issues/cycles/modules in Plane via MCP; not for local todo lists or implementation-plan markdown.
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。
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Load when the user asks to create, find, update, assign, label, prioritize, transition, or organize ISLAMU Event issues/cycles/modules in Plane via MCP; not for local todo lists or implementation-plan markdown.
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。
Load when evaluating an Islamic software feature, provider policy, AI behavior, moderation, monetization, privacy, defaults, ranking, self-hosting, or deployment model for provider responsibility and Islamic value-sensitive design; not for generic fiqh rulings or ordinary technical implementation.
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。
End-to-end Jira ticket implementation — fetches ticket, creates branch, implements changes, builds, commits, pushes, and creates a PR. Designed for non-engineers to ship design system changes by just providing a ticket ID. Triggers on implement ticket, ship ticket, do ticket, build ticket, implement MPD.
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。
Knowledge base from NIST SP 800-160 Vol 1 (Engineering Trustworthy Secure Systems) and Vol 2 (Developing Cyber-Resilient Systems). Use for systems security engineering (SSE): the three SSE framework contexts (problem/solution/trustworthiness), the 30+ design principles for trustworthy secure design, trustworthiness and assurance/assurance cases, security across the ISO/IEC/IEEE 15288 life-cycle process groups, and the Vol 2 cyber-resiliency engineering framework — 4 goals (anticipate/withstand/recover/adapt), objectives, 14 techniques, implementation approaches, and design principles for the APT/adverse-conditions threat model. Bridges systems engineering and the NIST security cluster (CSF/SSDF/RMF). Does not reproduce ISO/IEC/IEEE 15288 process text, nor cover SP 800-53 control catalogs in 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。
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。
Knowledge base from NASA Human Systems Integration (HSI) Practitioner's Guide (NASA/SP-2015-3709). Use for HSI process implementation, lifecycle phase activities, function allocation, ConOps development, HSI Plan writing, HSI metrics (MOE/MOP/TPM/KPP), HITL testing strategy, HSI team organisation, scaling/tailoring for program size, and V&V planning. Does not cover the specific human engineering design standards (NASA-STD-3001 content) or detailed HFE methods beyond what the guide itself provides.
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。
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。
Knowledge base from MIL-STD-881F (13 May 2022), DoD Standard Practice for Work Breakdown Structures for Defense Materiel Items. Use for Program/Contract/Subcontract WBS construction, 100% rule and dictionary discipline, commodity appendices A–J, Common Elements (K), sustainment CES reporting (L), Government ST&E (M), and RFP/post-award implementation. Technical planning & WBS and PM/measurement focus—not a cost manual substitute for CAPE policy.
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。
Knowledge base from EU Artificial Intelligence Act — Regulation (EU) 2024/1689. Use for AI system classification (high-risk vs prohibited vs general), conformity assessment procedures, GPAI model obligations, transparency and disclosure requirements, governance structure (AI Office / AI Board), penalty tiers, value-chain operator obligations, post-market monitoring, and Annex III use-case analysis. Does not cover EU liability rules for AI (separate proposed directive) or implementation guidance documents issued after July 2024.
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。
Knowledge base from NASA NPR 7150.2D — NASA Software Engineering Requirements. Use for NASA's Agency-wide software-engineering requirements: the software classification scheme (Classes A–F), the Requirements Mapping Matrix and class-driven applicability, tailoring and Technical Authority governance, the SWE-### 'shall' requirements across software management (Ch 3) and the engineering life cycle (Ch 4), the supporting disciplines (configuration management, risk, peer reviews/inspections, measurement, non-conformance — Ch 5), safety-critical and cybersecurity requirements, IV&V applicability, traceability, and the Appendix A definitions. Does not cover detailed software-assurance/safety procedures (see NASA-STD-8739.8), implementation how-to and document content (see NASA-HDBK-2203), the systems-engineering process framework (see NPR 7123.1), or program/project management (see NPR 7120.5).
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。
Knowledge base from the FAA AMS Lifecycle V&V Guidelines (verification and validation), Version 3.0, dated April 2017. Use for applying verification and validation across the FAA Acquisition Management System (AMS) lifecycle: the verify-vs-validate distinction (built right vs. right thing), the work-product/component/product tiers, the nine V&V planning elements, the four method catalogs (Appendix C), decision-point-gated V&V (SASP, CRD, Investment Analysis, Solution Implementation, In-Service Management), the Appendix B document checklists (PRD/APB/ISPD/PMP), and the DT/OT/IOA test triad. Scope limits: this is an FAA acquisition-V&V doctrine, NOT a general SE process model, requirements-engineering manual, or test-design textbook. It borrows its core V&V definitions from CMMI v1.2 (SEI, paraphrased) and presumes the surrounding AMS lifecycle (see the FAA SEM pack); its phase tables are policy snapshots as of April 2017 and it is thin on detailed test methods, tool specifics, and anything outside FAA acquisition governance.
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。
Knowledge base from NASA-STD-7009B (Standard for Models and Simulations) with implementation depth from NASA-HDBK-7009B. Use for M&S criticality and programmatics, development evidence and capability assessment, verification/validation domains, uncertainty and sensitivity, use-phase results assessment, risk-informed decision reporting, and handbook life-cycle products. Covers STD-7009B (2024-03-05) + HDBK-7009B (2026-02-03) synthesized notes only; does not replace program-specific TA direction, NPR 7150.2 software requirements detail, or full PRA methodology.
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。
Knowledge base from the DoD Digital Engineering Strategy (2018, OUSD/ODASD(SE)). Use for the Department of Defense's five digital engineering goals — (1) formalize the development, integration, and use of models; (2) provide an enduring authoritative source of truth; (3) incorporate technological innovation; (4) establish supporting infrastructure and environments; (5) transform the culture and workforce — plus their focus areas, the document-to-model and design-build-test→model-analyze-build shifts, model formalisms/provenance, governance and access control of the authoritative source of truth, and the coordinate→plan→pilot→sustain rollout. A vision-and-policy strategy, deliberately non-prescriptive. Does NOT provide a how-to method, tool tutorials, MBSE/SysML mechanics, or implementation-plan content; thin on metrics, acquisition-policy detail, and step-by-step procedure. Excludes the CAC-gated Digital Engineering Body of Knowledge (DEBoK).
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。
Structured problem solving in 6 steps: Problem definition, goals, brainstorming, evaluation, implementation, and review.
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。
Graded exposure for anxiety disorders: Fear hierarchy, SUDs scale, exposure planning and guidance. Psychoeducation only, not implementation.
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。
Prepares a change request pack (description and justification, scope, schedule, implementation plan, risk as stated, rollback, test evidence as provided, communications, approvals route) from an engineer's notes, ticket or pull request description, with UNKNOWN for anything not provided and a question list for the engineer. Never rates risk or marks a change tested or approved. Use when the user asks to "write the change request for this", "fill in the change ticket from my notes", "prepare the CAB submission" or "turn this pull request into an RFC". Do not use for the step-by-step procedure with commands and rollback, use runbook-drafter instead; for release notes describing what shipped, use release-notes-writer. 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。
Use when starting creative work (features, components, functionality, or behavior changes) to clarify user intent, requirements, and design before implementation.
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。
Tutor the user step by step on a plan, implementation, codebase, or topic to pay down understanding debt left by AI tooling. Explicit invocation only.
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。
Quiz the user on a plan, implementation, or codebase to pay down understanding debt left by AI tooling. Explicit invocation only.
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。
Resolve complex or high-impact problems when the cause, solution path, requirements, or proof boundary is genuinely uncertain. Use when work needs evidence-led diagnosis, consequential design or implementation, or a completion audit; do not trigger merely because work has multiple steps, or for simple facts, fully specified routine changes, or pure creative generation.
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 a detailed implementation plan before coding. Use when starting a new feature, multi-step refactor, or complex task. Invoked by saying "plan", "create a plan", or "plan this task".
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 converting a design direction into maintainable production frontend code, selecting architecture within the existing stack, implementing semantics, assets, loading behavior, CSS/layout, components, and progressive enhancement.
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 for end-to-end website or interface design, redesign, implementation, or major visual polish; orchestrates discovery, references, art direction, systems, build, critique, QA, and release gates.
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 as an independent design-review pass after rendering a website; evaluates macro, meso, micro craft, applies the Design Quality rubric, identifies root causes, and prioritizes changes without defending the implementation intent.
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。