Extract and consolidate reusable components, design tokens, and patterns into your design system. Identifies opportunities for systematic reuse and enriches your component library. Use when the user asks to create components, refactor repeated UI patterns, build a design system, or extract tokens.
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。
youranreus/note☆ 122026年8月6日 更新
[Documentation] Use when scanning the codebase to (re)generate ONE project-reference doc. Parameterized by `--target=<key>`: project-structure | backend-patterns | frontend-patterns | scss-styling | design-system | code-review-rules | domain-entities | feature-spec | docs-index | e2e-tests | integration-tests | seed-test-data | ui-system. Shared 4-phase scan engine; per-target detail lives in references/targets.md. `ui-system` is an orchestrator meta-target (`kind: orchestrator`) that runs the 3 UI child scans in parallel instead of the 4-phase engine.
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。
duc01226/EasyPlatform☆ 112026年8月21日 更新
system-spec-harness の正規フローで仕様を作りたいとき、確定した仕様・architecture を source lineage 付きで dev-graph に取り込みたいときに使う。
daishiman/harness-dev☆ 102026年10月13日 更新
Extract and consolidate reusable components, design tokens, and patterns into your design system. Identifies opportunities for systematic reuse and enriches your component library. Use when the user asks to create components, refactor repeated UI patterns, build a design system, or extract tokens.
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。
waynesutton/agent-ready-component☆ 92026年8月28日 更新
Extract and consolidate reusable components, design tokens, and patterns into your design system. Identifies opportunities for systematic reuse and enriches your component library. Use when the user asks to create components, refactor repeated UI patterns, build a design system, or extract tokens.
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。
get-convex/components-submissions-directory☆ 92026年10月13日 更新
Detects rootkit presence on compromised systems by identifying hidden processes, hooked system calls, modified kernel structures, hidden files, and covert network connections using memory forensics, cross-view detection, and integrity checking techniques. Activates for requests involving rootkit detection, hidden process discovery, kernel integrity checking, or system call hook 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。
andycungkrinx91/konoha☆ 92026年10月9日 更新
Examine file system slack space, MFT entries, USN journal, and alternate data streams to recover hidden data and reconstruct file activity on NTFS volumes.
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。
andycungkrinx91/konoha☆ 92026年10月9日 更新
Prepare a defense-contractor environment for CMMC Level 2 certification: scope CUI and FCI, implement the 110 NIST SP 800-171 Rev 2 security requirements across 14 families, compute the SPRS score with the DoD Assessment Methodology, manage a compliant POA&M, and ready the organization for a C3PAO assessment. Use when an organization handles Controlled Unclassified Information (CUI) under a DoD contract, when a contract carries DFARS clause 252.204-7012/7019/7020/7021, when preparing for or responding to a CMMC assessment, when computing or improving an SPRS score, when building a System Security Plan or POA&M for 800-171, or when scoping which systems are in the CUI boundary. Keywords: CMMC, CMMC Level 2, NIST 800-171, SP 800-171 Rev 2, CUI, FCI, SPRS, DFARS 7012, C3PAO, POA&M, System Security Plan, DoD Assessment Methodology, 110 controls, defense industrial base, DIB, FedRAMP equivalency.
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。
andycungkrinx91/konoha☆ 92026年10月9日 更新
HTCMC PCHSystem 专用 skill——为各子服务目录生成与更新「分布式 CLAUDE.md」(提炼该服务的雷点、关键要素、文档索引)。当新建子服务、子服务架构发生变更、或需要补齐/更新某个服务的 CLAUDE.md 时使用。传入服务名(mcdr-plugin / user-service / project-service / scoring-service / title-service / wiki-service / alert-service / frontend),本 skill 自动读取对应架构文档,按统一模板生成或增量更新该服务目录下的 CLAUDE.md。在 PCHSystem 项目内,只要用户提到「子服务 CLAUDE.md」「为某服务生成/更新 CLAUDE.md」「补齐服务雷点」「服务记忆文件」,或正在新增/改动某个服务目录,就应使用本 skill——禁止手写子服务 CLAUDE.md。
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。
YuShenLiu06/PCHSystem☆ 92026年10月13日 更新
HTCMC PCHSystem 专用 skill——指导如何在 git worktree 中正确启动/迁移开发栈 (根 docker-compose 的 postgres+backend、TestServer 的 mc-test、前端 Vite dev)。 PCHSystem 的栈路径锚定主仓(bind mount / external 网络 / MCDR 挂载 / 根 .env 插值), worktree 的目录隔离与之天然冲突,常踩「端口对不上 / token 对不上 / 配置在别的分支」三类坑。 本 skill 给出按「worktree 改了什么」选择的迁移策略 + 端口/token/网络对齐清单 + 红线陷阱。 当用户在 worktree 里要起栈测试、提到「worktree 跑后端/前端/mc-test」「worktree 端口冲突」 「token 对不上 / 401」「主仓有 WIP 没法 checkout 分支」「MCDR reload 看不到 worktree 改动」, 或要在 worktree 改了 Dockerfile / pyproject / 端口 / .env 后验证时,就应使用本 skill。 不用:纯文档或单文件编辑、不涉及运行栈的常规开发、或仅在主仓主线本地开发(不起 worktree)。
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。
YuShenLiu06/PCHSystem☆ 92026年10月13日 更新
Knowledge base from the NIST Framework for Cyber-Physical Systems (SP 1500-201/202/203, v1.0, 2017). Use for engineering and analyzing cyber-physical systems (CPS) and IoT: the CPS Framework's aspect × facet grid (nine aspects of concern examined through conceptualization, realization, and assurance facets), cross-property trustworthiness risk management (safety/security/privacy/reliability/resilience together), data interoperability (syntactical/semantic/contextual, canonical models, identifiers, provenance), the timing aspect (time-interval classes, time domains, time-aware networking) and secure/resilient time (GNSS jamming/spoofing, PTP/NTP attacks, holdover, the clock-error model and Allan/MTIE metrics), plus the use-case requirements method. Bridges IT and OT under a clock. Scope limits: a 2017 living/draft document, thin on post-2017 standards and on detailed control catalogs; it names but does not reproduce ISO/IEC/IEEE 42010 and 15288 process text or permission-licensed third-party figures.
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 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-packs☆ 82026年10月9日 更新
Knowledge base from the SD-22 DMSMS Guidebook (DSPO, FY24 working draft). Use for managing Diminished Manufacturing Sources and Material Shortages (DMSMS) and obsolescence across a long-lived system's life cycle: the five-step process (Prepare, Identify, Assess, Analyze, Implement) plus the Strategize overlay; standing up a DMSMS Management Team (DMT) and Management Plan (DMP); risk-based monitoring and surveillance (the risk cube, predictive tools, vendor surveys, GIDEP/DLA PDNs, critical-materials analysis); health assessments and resolution timing; costing and selecting resolutions (life-of-need buys, substitutes, redesign, technology refreshment) by AoA/BCA; and budgeting/executing resolutions through modification funding and the ECP process. Defense-sustainment / DoD-acquisition framing throughout. Does NOT teach general systems engineering, parts-management standards, or contracting law in depth, and does not reproduce DoD policy text or the source's tables and figures.
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 DOE Systems Engineering Methodology (SEM) Version 3 — the DOE SDLC for IT investments. Use for staged systems lifecycle planning through maintenance, Stage Exits, Structured Walkthroughs, In-Stage Assessments, requirements traceability, and CMM-aligned process discipline. Covers SEM3 (2002) guidance only; does not replace modern DevSecOps tooling standards, DOE O 413.3B capital-asset directives, or current CIO policy supersessions.
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 Expanded Guidance for NASA Systems Engineering (NASA/SP-2016-6105-SUPPL, Volume 1, March 2016) — the practitioner-depth supplement to the NASA SE Handbook. Use for the load-bearing mechanics the handbook compresses: the SE Engine's per-phase cadence and the iterative-vs-recursive distinction, the AS9100 crosswalk, life-cycle tailoring vs. customization and the Compliance Matrix, the recursive system-design consistency loop (ConOps vs. Operations Concept, requirement flow/type/ownership, successive refinement), product realization (verify/qualify/accept/certify cardinality, protoflight, 'test the way we fly' coverage, two-form transition), and the crosscutting technical-management procedures (six-step scheduling, cost-estimating method selection, JCL, interface document family, RIDM/CRM, CM baselines, EVM arithmetic, MOE/MOP/KPP/TPM, the three required leading indicators, and the decision-analysis method catalog). This is the DEPTH layer — it deliberately does NOT restate the base definitions; pair it with the nasa-se-handbook pack. Scope: NASA space-flight SE practice (Vol 1 Practices); thin on the Vol 2 process-appendix detail, on non-NASA/commercial life cycles, and on software-engineering 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。
jgsystemsconsulting/jgs-se-knowledge-packs☆ 82026年10月9日 更新
Knowledge base from MIL-STD-882E (DoD System Safety). Use for the system safety process, hazard analysis tasks (PHA/SSHA/SHA/O&SHA), the risk assessment matrix (severity x probability), software safety criticality, and risk acceptance. US-gov public domain.
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 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-packs☆ 82026年10月9日 更新
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).
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 Systems Engineering Handbook (NASA/SP-2016-6105 Rev 2). Use for NASA's systems-engineering process model — the SE Engine and 17 common technical processes, the program/project life cycle (Pre-Phase A through F), Key Decision Points and technical reviews (MCR/SRR/PDR/CDR/…), stakeholder expectations, technical requirements, design solution, product verification and validation, and crosscutting technical management (planning, risk, configuration, interfaces, data, assessment, decision analysis). Strong for aerospace/spaceflight project SE and lifecycle gating; NASA-specific terminology (KDPs, NPR 7123.1).
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
系统化与焦点解决方法:奇迹提问、刻度提问、例外探索、循环提问、假设性提问、恶化提问、应对提问。合并自 solution-focused-therapy 与 systemic-questioning。
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12日 更新
Métodos sistémicos y enfocados en soluciones: pregunta del milagro, escala, exploración de excepciones, preguntas circulares, preguntas hipotéticas, preguntas de empeoramiento, preguntas de afrontamiento. Fusionado de solution-focused-therapy y systemic-questioning.
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12日 更新
Systemic questioning techniques: Circular questions, scaling questions, miracle question, and exception questions for reflection and perspective expansion.
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12日 更新