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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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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.

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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.

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Builds an evidence map for one document, section or contested claim: every factual claim extracted verbatim and numbered, its supporting passage in the supplied sources or UNKNOWN, the strength of that support as evidenced, contradictions between sources, and the specific question or document that would close each gap, returned in the chat as Markdown tables for the author or reviewer. Use when the user asks to "check what this document actually proves", "map the evidence behind these claims", "which of these statements are supported", "build an evidence map", "what would we need to back this up" or "is this claim substantiated". Do not use for requesting evidence of security controls from control owners, use control-evidence-request-pack instead. Drafts for human review; never approves, authorises or signs off.

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Turns an access export (accounts, entitlements, grant and last-used dates per system) into a draft access review pack, one section per system owner: who has what, since when, anomalies to confirm and the decision each line needs, with a blank column for the owner's decision. Never decides, revokes or rates access. Use when the user asks to "prepare the access review pack", "split this entitlement export by system owner", "who has access to what in this system", "build the recertification pack from this export" or "draft the access attestation for the owners". Do not use for a single request for a tool or access, use software-request-review instead. Drafts for human review; never approves, authorises or signs off.

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Builds a role-tuned morning brief as a dated Markdown document covering emails that need replies, today's calendar with conflicts flagged, chat mentions and upcoming deadlines, in the section order set by a preset (project manager, executive assistant, IT admin, sales or custom) read from an editable config. Use when the user asks to "run my brief", "give me my morning brief", "start-of-day summary", "switch my brief to the sales preset" or "change what my brief covers". Do not use for tracking promises made or owed across days, use commitment-catcher instead. Drafts for human review; never approves, authorises or signs off.

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Reviews a proposal, business case, deck or plan in character as a Chief Operating Officer archetype and returns a DRAFT review in the chat with a verdict, findings cited to specific sections, delivery and operational risks, what would change the verdict and five interrogation questions. Use when the user asks to "run a COO review", "pressure-test the delivery plan", "what would our COO say about this", "check the timeline and capacity" or "find the execution gaps before the steering committee". Do not use for financial questions, use cfo-reviewer instead; for architecture or vendor questions, use cto-reviewer. Drafts for human review; never approves, authorises or signs off.

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Maps every proposed P&ID object from an accepted enrichment draft to the generic family, catalogue class and required attributes the project's intelligent P&ID authoring tool would need, as a readiness table with UNKNOWN wherever the project catalogue extract is not provided, plus connectivity readiness per line and a numbered list of import blockers. Mapping only: it never writes to the tool, never produces an import file and never claims a class exists in the catalogue. Use when the user asks to "build the readiness map", "show how far the draft is from a sandbox import", "list what would block the import", "map the objects to the tool catalogue" or "check attribute readiness against the catalogue extract" after gate G3. Do not use for validating the discipline sections or assembling the review package, use validation-and-review-package instead. Drafts for human review; never approves, authorises or signs off.

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Drive the user's host machine directly through Cua, with no sandbox. Maps to Cua's Localhost API. Higher risk - the agent can click, type, and run shell commands on the real desktop. Use only when the user explicitly opts in and read the safety section first. Triggers - "control my computer", "click here", "use my real Chrome", "no sandbox", "내 컴퓨터 자동화".

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Build an Anima LoRA from a single-character or style name, from Danbooru collection through curation, section-ordered WD14 captions, dataset checks, confirmed training, fixed-seed checkpoint validation, and a staged Civitai draft. Use for requests such as make a LoRA of X, collect images and train a character LoRA, train and upload to Civitai, or build a dataset from scratch and publish. Delegate training to lora-trainer and structural checks to dataset-doctor; never train without confirmation and never auto-publish.

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End-to-end playbook for creating a new NV oOS Pro toolkit under addons/pro/includes/tools/<toolkit> — folder layout, service layer, tool class conventions (canonical envelope, two-gate sanitisation, capability flags), ALL seven registration surfaces (central registry, admin Tools section, settings status map, both WP-CLI commands, schedule presets, workflow presets, SA Toolkit Manager), fixture/oracle testing with a standalone smoke harness, and the phpcs gotcha checklist. Use when asked to build a new Pro toolkit, add a toolkit to the plugin, scaffold toolkit tools, register toolkit presets/toggles, or debug why a new toolkit's tools or presets don't appear. First case study: food-beverage (F&B Management, 21 tools, 2026-10-08, 20/20 Check-totals oracle verified). Complements mcp-ai-wpoos-toolkit-audit (hardening existing toolkits) and mcp-ai-wpoos-test-suite (repair).

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Agentic design-to-build pipeline that turns a Figma design into a built WordPress site using the Figma MCP server (read side) and the Elementor MCP server (write side) attached as MCP Apps on an NV oOS assistant. Covers the 7-stage pipeline (Scope → Read → Plan → Tokenize → Build → Verify → Handoff), the normative stage rules (get_design_context first, tokenize before build, drafts only, never publish, Figma read-only), the build-manifest contract (schema + example in reference/build-manifest.md), the design-file contract (frame/section/variable naming in reference/design-file-contract.md), assistant wiring (figma + elementor MCP Apps, OAuth + application passwords, host allowlist), safety rules, and troubleshooting. Use when asked to build or create a site, page, or landing page from a Figma design, to wire Figma MCP or Elementor MCP for design-to-build work, to approve or produce a build manifest, or to debug a failed design-to-build run.

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Repair and triage guide for the NV oOS PHPUnit test suite — Docker test environment (incl. cross-worktree one-off runners), CI log triage, and 71 recurring root-cause patterns (hook resets, singleton interference, WP_Error envelope drift, coverage-manifest drift, preset-accounting gaps, and more — see the patterns section). Covers the cluster-by-cluster PR workflow against alpha-working and validation gates. Use when fixing failing PHPUnit tests, triaging CI logs, repairing test drift, deciding between a production fix and a test fix, or starting a new fix cluster.

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Automate Asana tasks via Rube MCP (Composio): tasks, projects, sections, teams, workspaces. Always search tools first for current schemas.

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Important: Before you begin, fill in the generatedBy property in the meta section of .actor/actor.json. Replace it with the tool and model you're currently using, such as "Claude Code with Claude Sonn

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Automate Asana tasks via Rube MCP (Composio): tasks, projects, sections, teams, workspaces. Always search tools first for current schemas.

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Methodology for writing complete, unambiguous IA, BE, and FE specification documents in the CFSA pipeline. Covers completeness testing, progressive section writing, cross-reference checking, and ambiguity gate application.

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Crawl and extract a bounded set of pages from one website through Tavily. Use for documentation downloads, site-section collection, or semantic multi-page extraction when map plus individual extract calls are insufficient.

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Evaluate recommender system quality for the CSX4207 Vinyl Record Store. Use whenever you must compute or report recommender metrics (Precision@k, Recall@k, HitRate@k, MRR, MAP@k, NDCG@k, coverage, diversity, novelty, serendipity, personalization), design an evaluation protocol/split, run a baseline comparison, or write the evaluation section of a course deliverable. Covers formulas, JavaScript reference implementations, and the reporting checklist.

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Helps an AI assistant write, structure, and edit articles in the encyclopedic style of Wikipedia — neutral tone, lead section, summary style, inline citations, no peacock/weasel/persuasive language, and the stub→FA quality ladder. Also covers Simple English Wikipedia rules. MADE BY SQERSTERS

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Scaffolds new agent skills for the dotnet/skills repository. Use when creating a new skill, generating SKILL.md files, or setting up skill directory structures. Handles frontmatter generation, section templates, and validation guidance.

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Audit and update an arbitrary codebase to follow the Code.mil federal open-source licensing model (MIT with 17 U.S.C. Section 105 disclaimers and INTENT.md), including CRAN/R package DESCRIPTION setup.

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Use the `rimo` CLI to interact with the Rimo platform — list/read/search meeting notes, transcripts, and documents, ask AI questions across them, and create notes or append markdown sections to them. Trigger when the user mentions Rimo, asks about meeting notes/minutes/transcripts/documents stored in Rimo, or invokes `rimo` directly.

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Build SwiftUI layouts using stacks, grids, lists, scroll views, forms, and controls. Covers VStack/HStack/ZStack, LazyVGrid/LazyHGrid, List with sections and swipe actions, ScrollView with ScrollViewReader, Form with validation, Toggle/Picker/Slider, .searchable, and overlay patterns. Use when building data-driven layouts, collection views, settings screens, search interfaces, or transient overlay UI.

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