Audit trail, confidence tagging, and ethical checks on every AI decision your operator produces.
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概要と使いどころ
Audit trail, confidence tagging, and ethical checks on every AI decision your operator produces.
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。
Maxim L2 pack. Bundles: L1.1 AI Governance + L1.2 MemPalace Pro + L1.3 Proactive Watch. Primary framework: Fogg Behavior Model.
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Enterprise and solution architecture — system design, scalability, cloud strategy, digital transformation, data architecture, governance, technology strategy. Practitioner-level TOGAF, C4, ArchiMate, Zachman, Wardley mapping and ADR authoring.
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Plan and track delivery — plan, sprint, project, timeline, milestone, task breakdown, backlog, Kanban, RACI, changelog governance. The COO office's workflow coordination domain.
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Audit MCP (Model Context Protocol) server configurations for security issues. Use this skill when: - Reviewing .mcp.json files for security risks - Checking MCP server args for hardcoded secrets or shell injection patterns - Validating that MCP servers use pinned versions (not @latest) - Detecting unpinned dependencies in MCP server configurations - Auditing which MCP servers a project registers and whether they're on an approved list - Checking for environment variable usage vs. hardcoded credentials in MCP configs - Any request like "is my MCP config secure?", "audit my MCP servers", or "check .mcp.json" keywords: [mcp, security, audit, secrets, shell-injection, supply-chain, governance]
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Master TDD orchestrator specializing in red-green-refactor discipline, multi-agent workflow coordination, and comprehensive test-driven development practices. Enforces TDD best practices across teams with AI-assisted testing and modern frameworks. Use PROACTIVELY for TDD implementation and governance.
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Designs EF Core data layer architecture. Read/write split, aggregate boundaries, N+1 governance.
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Use as the single visible starter and controller for workspace work that may change files, runtime assets, planning state, docs, settings, or governance. Normalize the request into the Super Agent lifecycle: intake, spec registration for non-trivial work, planning registration, specialist routing, execution, testing, review, closeout, and planning-state updates before implementation begins.
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Discover and inventory shadow API endpoints that operate outside documented specifications using traffic analysis, code scanning, and API discovery platforms.
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Apply bottom-up and top-down role mining techniques to discover optimal RBAC roles from existing user-permission assignments, reducing role explosion and enforcing least privilege.
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Build a vulnerability exception and risk acceptance tracking system with approval workflows, compensating controls documentation, and expiration management.
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Own whether a multi-document product-architecture binder is internally consistent, complete against its stated customer/contingency/architecture coverage, and honest about which older product ambitions it has absorbed, superseded, deferred, contradicted, orphaned, or rejected. Use when running a binder Architect of Record pass, before an implementation chain cites a binder chapter as ready, when a proof-gate owner is missing, or when reconciling the binder against the older ambition corpus (website, plans, examples, ADRs). NOT for auditing a single Claude Skill bundle's structure or frontmatter (use skill-hygiene), rendering a single-PM accept/reject verdict on one finished deliverable (use port-daddy-user-surrogate-pm-review), or sequencing/stewarding a roadmap's sidequests once a gap or operator decision has been surfaced (use legible-roadmap-with-sidequests).
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。