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「vision」の検索結果

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概要と使いどころ

Synthesized reference notes from three US Government vehicle-safety sources: NHTSA Cybersecurity Best Practices for the Safety of Modern Vehicles (updated 2022, final), NHTSA Automated Driving Systems 2.0: A Vision for Safety (2017), and a 16-section selection of 49 CFR Part 571 (FMVSS) pinned at eCFR versioner date 2025-01-01. Use for voluntary vehicle cybersecurity practices, the ADS 2.0 twelve priority safety design elements, and FMVSS occupant protection, brakes/stability/lighting, and fuel/EV integrity requirements. Not ISO 26262, not ASPICE, not ISO/SAE 21434, not UNECE R155/R156, not SAE J3016, and not the full Part 571; the FMVSS material is a selection of vehicle-level minimum performance standards, not a process standard.

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-packs82026年10月9日 更新

Knowledge base from NIST SP 800-37 Revision 2, the Risk Management Framework (RMF) for information systems and organizations. Use for the seven RMF steps (Prepare, Categorize, Select, Implement, Assess, Authorize, Monitor) and their tasks; the three-tier organization-wide risk model; authorization boundaries; the requirements-to-controls relationship; security categorization (FIPS 199/200 high-water mark) and control selection/tailoring (SP 800-53/53B baselines); assessment, the authorization decision and risk acceptance, continuous monitoring and ongoing authorization; the security/privacy distinction; and supply chain risk management. This is the security-and-privacy-risk-governance edge of systems engineering — it governs how much protection and whether to accept residual risk, complementing the disciplines that decide how protection is built. Does NOT reproduce the SP 800-53 control catalog or its baselines, the FIPS impact tables, or the ISO/IEC/IEEE 15288 process text; it names and routes to them rather than restating them.

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-packs82026年10月9日 更新

faa-rma

無料

Knowledge base from FAA-HDBK-006D (2020), the FAA's System Reliability, Maintainability, and Availability (RMA) Handbook for National Airspace System (NAS) hardware and software. Use for RMA figures of merit (MTBF, MTBO, MTTR, the availability variants), the bathtub curve and probability distributions, the four-stage RMA lifecycle mapped to the FAA Acquisition Management System (AMS), the six-task RMA technical-management/acquisition process, service-thread criticality and the NAS-RD severity-to-target table, the RMA analysis toolbox (RBD, FMEA/FMECA, FTA, Ishikawa, Monte Carlo, Bayesian, FRACAS, ALT, reliability-growth/recovery tests), software reliability (early prediction + reliability growth), and tailorable example RMA requirements for a Program Requirements Document. Scope limits: it is FAA/NAS-specific guidance (not a requirement, by its own statement), centred on hardware-plus-software availability — it brackets out human/service/facility/communications availability, names but does not reproduce the math derivations or external standards (MIL-STDs, IEEE 1633, RTCA DO-178C/DO-278A, SAE JA1011), is thin on detailed worked numerical examples and on safety-case method, and predates any current revision beyond 006D.

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-packs82026年10月9日 更新

Knowledge base from FAA-STD-025f (Preparation of Interface Documentation). Use for IRD/ICD family definitions, common format and content, IRD shall-requirements, ICD design characteristics, verification/VRTM, and CM/revision/approval of FAA Enterprise Subsystem interfaces. Covers rev F preparation rules only; does not replace FAA-STD-005 drawing/spec prep, Order 1800.66 full CM procedures, or non-FAA interface standards.

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-packs82026年10月9日 更新

Knowledge base from the FAA Requirements Engineering Management Handbook (DOT/FAA/AR-08/32). Use for writing requirements for real-time, embedded control systems — the avionics/medical slant — via the Handbook's eleven recommended practices: system overview and boundary (monitored/controlled variables), operational concepts (use cases), environmental assumptions, change-tolerant functional architecture (dependency diagrams), safety-driven architecture revision (FHA/PSSA/fault tree), system modes, detailed behavior and performance requirements (ideal value + tolerance + latency), the four-variable model bridge to software requirements (MON/CON/NAT/REQ, IN'/REQ'/OUT', DO-178B mapping), subsystem allocation, and rationale. Carries the Isolette Thermostat and Flight Control System worked examples. Slanted toward control systems with sensors and actuators; thin on information-system / enterprise / agile requirements, on requirements-management tooling, and on the formal-methods internals of SCR/RSML/SpecTRM (it names them, does not re-teach them). Does not reproduce the IEEE/DO-178B/ARP standards it cites.

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-packs82026年10月9日 更新

Knowledge base from NASA-STD-8729.1A — NASA's R&M (Reliability and Maintainability) standard covering spaceflight and support systems (Revision A, 2017-06-13). Use for NASA's objectives-driven R&M framework — the R&M objectives hierarchy (one Top Objective decomposed into four sub-objectives, paired with tailorable strategies), how R&M requirements are established inside the SMA Plan required by NPR 7120.5, the SMA Technical Authority concurrence/independent-evaluation governance, milestone vs. readiness review gates, the reliability/maintainability/availability vocabulary (Ai vs. Ao, the failure causal chain, risk as a triplet), and the R&M Evidentiary Methods catalogue (FMEA/FMECA, FTA, RBDA, RCM, LORA, plus the space-environment and parts-pedigree analyses). Scoped to NASA spaceflight and support systems and to assurance planning: it is an objectives-and-strategies standard, so it deliberately does NOT prescribe step-by-step analysis procedures (those live in the referenced NASA Preferred Reliability Practices) and is thin on facility R&M, detailed math/derivations, and non-NASA or commercial life cycles.

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-packs82026年10月9日 更新

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。

jgsystemsconsulting/jgs-se-knowledge-packs82026年10月9日 更新

Knowledge base from the NASA Schedule Management Handbook (2024 edition, Revision 2). Use for program/project schedule management of aerospace and large engineering efforts: the five sub-functions (Planning, Development, Assessment & Analysis, Maintenance & Control, Documentation & Communication); the Integrated Master Schedule (IMS) and the WBS/OBS/CBS breakdown structures; the Schedule Management Plan (SMP) and Basis of Estimate (BoE); Critical Path Method, logic, durations, float and margin; tiered schedule assessment (Requirements/Health/Basis checks, the Shock Test) and the Dimensions of Schedule Reliability; Schedule Risk Analysis (SRA), Integrated Cost-Schedule Risk Analysis (ICSRA), Monte Carlo, correlation, merge bias, and the Joint Confidence Level (JCL); baselining, replan vs. rebaseline, EVM schedule metrics (SPI, BEI, CEI, HMI, Earned Schedule, CPLI), and status/progress/forecast reporting. This is NASA's scheduling doctrine grounded in NPR 7120.5 and the GAO Schedule Assessment Guide. Thin on the underlying mechanics of CPM, statistics, and EVM (it points to companion handbooks); aerospace/space-flight-centric; anchored to the 2024 second edition.

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-packs82026年10月9日 更新

Turns the text of a regulatory change (new regulation, amendment, rule, guidance or standard revision) into a DRAFT impact note: what changed against the prior text where supplied, who is affected as the text scopes it, an obligations table with dates and owners to confirm, and open interpretation questions for legal. States only what the text says; the rest is UNKNOWN. Use when the user asks to "brief legal on this new regulation", "list what we must do by when under this amendment", "compare the new standard with the version it replaces", "turn this directive into an obligations table" or "what does this rule mean for us". Do not use for assessing existing controls against a requirement set, use controls-gap-pack instead; for gapping a policy against a standard, use policy-gap-review. 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-skills82026年9月19日 更新

Proposes the piping content a P&ID adds to an accepted PFD process model: line inventory with off-page continuity and required ancillary lines, line identification elements per the project line numbering procedure, connection items at nozzles matched to a quoted schedule, per quoted standards, specification break questions and observations. Every proposal cites its source and revision; no source, no proposal; never sizes a line or selects a class. Use when the user asks to "run the piping enrichment", "start the discipline enrichment", "list the lines the P&ID adds to this PFD" or "fill the line identifiers from the numbering procedure" after gate G2. Do not use for instruments, loops or instrument tags, use instrumentation-and-control-enrichment instead; do not use before gate G2, use process-model-check. 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-skills82026年9月19日 更新

Checks a master document register extract for gaps and returns a DRAFT question list for document control: missing or out-of-sequence revisions, overdue or slipping deliverables, numbering that breaks the project convention, duplicates and incomplete rows, each with row, test and quoted evidence. Never edits the register, re-baselines a date or marks a deliverable complete. Use when the user asks to "check the MDR", "find the gaps in the deliverables list" or "prepare questions on the drawing register". Do not use for drafting a transmittal from a document list, use transmittal-drafter 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-skills82026年9月19日 更新

Build a complete but efficient Nature-style Chinese PPTX presentation from a remote-sensing, Earth-observation, geospatial AI, or broader scientific paper, preprint, PDF, article text, abstract, figure legends, or reading notes. Use this skill whenever the user asks to make slides/PPT/PPTX for journal club, group meeting, paper sharing, thesis seminar, lab meeting, department report, or academic presentation from a remote-sensing research paper. It identifies the paper type and argument, selects only the figures needed for the story, writes Chinese slide content and speaker notes, creates the actual .pptx deck, and runs an explicit self-review/corrective revision loop focused on figure quality, text overflow prevention, and non-template visual design before delivery. Also trigger on general academic-presentation requests even without the word "Nature", such as turning a paper into slides, building an academic talk deck, conference/defense presentations, and Chinese phrasings like 论文做PPT、遥感论文汇报、组会PPT、文献汇报、学术汇报、做幻灯片、讲paper、读书报告PPT.

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。

thislzm/SKILL82026年6月6日 更新

Use when the user asks to "log this launch", query a launch date/embargo, record a stage transition, or update submissions/outcomes; curates launch facts through the append-only launches event stream with optimistic revisions and derived dossier/calendar views. Not for RAMP scoring — use launch-readiness-auditor; not for planning tier/window — use launch-tier-planner. 发布台账/发布日历/阶段与禁运期记录

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。

unempyd/revenueos72026年9月14日 更新

Use when the user asks to "review this influencer content" or "check if this post meets brand guidelines"; runs the typed STAR pre-publish gate, scores Trust and Appeal on the deliverable, folds in the creator Suitability read, computes the profile-weighted SQS, checks the disclosure/claim/brand-safety and fraud/fake-engagement vetoes, and writes constructive revision feedback. Not for drafting the brief — use brief-generator; not for partnership terms — use contract-helper. 达人内容审核/发布前质检

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。

unempyd/revenueos72026年9月14日 更新

Automates Flutter iOS and Android deployment using Fastlane. Use when setting up `fastlane match` for iOS certificate and provisioning profile management, automating TestFlight uploads via `upload_to_testflight`, pushing Android releases to Google Play via `upload_to_play_store`, auto-incrementing build numbers, writing Fastfile lanes for Flutter release workflows, integrating Fastlane with GitHub Actions or Codemagic, or configuring App Store Connect API Key and Google Play Service Account JSON credentials.

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。

Poorgramer-Zack/dart-expert-skills72026年8月11日 更新

Trace BIRD routing-daemon behavior through the actual C source tree. Use for implementation questions, suspected upstream bugs, parser/keyword origins, filter instructions, protocol state machines, route attributes, birdc commands, stack traces, or BIRD 2 versus BIRD 3 source comparisons. Prefer a local checkout or exact upstream tag/commit and cite concrete files, functions, and revisions. Route config linting to bird-agent and active incidents to bird-troubleshooting.

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。

bird-chinese-community/BIRD.skills72026年8月7日 更新

Prepares mobile releases across Flutter, native Android, native iOS, React Native and Kotlin Multiplatform, including separate Android/iOS artifacts from a shared KMP revision. Covers versions, signing, symbols, store readiness, rollout, release notes and CI/CD. Use for release audits, store submission, build pipelines or rollout 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。

wrsilva/reis-mobile72026年10月13日 更新

Write operator-facing and public documentation plans for AI-Controlled Party mixer/Soundcraft Ui24R scene arming. Use for runbooks, rehearsal checklists, show-day checklists, EN/PT docs updates, demo scripts, safety wording, and follow-up documentation revisions.

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。

hybridlabor-api/aos62026年10月14日 更新

Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.

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。

amurata/cc-tools62025年11月28日 更新

Orchestrate operational workspace setup before implementation slices across scaffold, CI/CD, hosting, and data provisioning shards

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。

RepairYourTech/cfsa-antigravity62026年8月16日 更新

Provision hosting targets, configure domains/environments, integrate deployment pipeline, and verify staging access

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。

RepairYourTech/cfsa-antigravity62026年8月16日 更新

Provision database infrastructure, initialize migration framework, configure environments, and verify connectivity/migration 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。

RepairYourTech/cfsa-antigravity62026年8月16日 更新

Scoring rubrics for all 5 pipeline layers (Vision, Architecture, IA, BE, FE). Use when auditing specs, running self-checks, or remediating ambiguity gaps.

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。

RepairYourTech/cfsa-antigravity62026年8月16日 更新

Utility — fill the surface stack map in tech-stack.md and provision skills using intelligent resolution. Called by pipeline commands when tech stack info changes.

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。

RepairYourTech/cfsa-antigravity62026年8月16日 更新