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Guides privacy program maturity assessment using the AICPA/CIPT Privacy Maturity Model with five levels: Ad Hoc, Repeating, Defined, Managed, and Optimized. Covers assessment methodology across ten privacy domains, scoring criteria, gap analysis, maturity roadmap generation, and benchmarking against industry peers. Keywords: privacy maturity, AICPA, maturity model, assessment, roadmap, benchmarking.
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Assesses smart contract and blockchain codebases against Trail of Bits’ nine-category maturity framework. Produces evidence-backed ratings covering areas such as arithmetic, access controls, documentation, and testing, plus a prioritized improvement roadmap with effort estimates.
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根据OpenClaw的功能分类和QA证据，复核质量、功能完整性及长期支持评价，验证输入数据并更新成熟度评分卡文档，同时记录评价理由和复核条件。
Use when designing organizational structure (team topologies, Conway's Law alignment), mapping stakeholders by power-interest for change initiatives, defining team interface contracts (APIs, SLAs, decision rights, handoffs), assessing capability maturity (DORA, CMMC, agile maturity models), planning org restructures (functional to product teams, platform teams, shared services), or when user mentions "org design", "team structure", "stakeholder map", "team interfaces", "capability maturity", "Conway's Law", or "RACI".
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Structures debt maturity analysis with refinancing risk, market access assumptions, and liability management opportunities. Use when analyzing maturity walls, planning refinancing, or optimizing debt tenor.
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Assess organizational AI maturity. TRIGGERS - Use when user needs help with ai-maturity-model related tasks.
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The NIST Cybersecurity Framework (CSF) 2.0, released in February 2024, provides a comprehensive taxonomy for managing cybersecurity risk through six core Functions - Govern, Identify, Protect, Detect, Respond, and Recover. bu skill covers conducting a maturity assessment against the CSF using Implementation Tiers to measure organizational cybersecurity posture and create improvement roadmaps.
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Assess organizational AI maturity. TRIGGERS - Use when user needs help with ai-maturity-model related tasks.
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Assess how your product team uses AI across five capabilities, from shared context to team review practices. Identify whether work is simply faster or fundamentally redesigned, and choose which capability to strengthen next.
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Manage for output using Grove's "High Output Management": a manager's output is their organization's output, raised by high-leverage activities. Use when the user mentions "high output management", "managerial leverage", "one-on-ones", "1:1 agenda", "OKRs", "performance review", "task-relevant maturity", "delegation", "meeting overload", "new manager", "how do I run a 1:1", or "just got promoted to manager". Also trigger when structuring a manager's calendar and meeting cadence, designing team metrics, running planning, coaching delegation, or preparing performance reviews. Covers leverage, production principles, meetings as the medium of management, decisions, OKRs, and task-relevant maturity. For intrinsic motivation, see drive-motivation. For a company operating system, see traction-eos.
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Scans the biomarker landscape of a disease area by biomarker type, clinical/research use case, evidence layer, validation status, and maturity level. Use this skill when a user wants a field-level biomarker evidence map rather than a generic literature summary. Always separate exploratory biomarkers from externally validated or clinically embedded biomarkers, and never imply clinical maturity without explicit evidence support.
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NIST Cybersecurity Framework 2.0 implementation, assessment, and compliance management. Use for CSF 2.0 gap analysis, cybersecurity risk management, maturity assessment, CSF profiles, and cross-framework compliance mapping.
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Use when the user has run multiple evaluation skills and wants a comprehensive analysis — maturity assessment, cross-skill signals, trends, prioritized actions, and an executive summary. Also use when the user mentions eval health check, evaluation audit, ship readiness, evaluation maturity, or "how good is my evaluation system itself." This is a read-only analysis skill.
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Assess organization's digital transformation readiness. Evaluate data culture, technology adoption, and process maturity.
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Vendor privacy risk tiering methodology for processor management. Covers scoring factors including data volume, sensitivity, transfer locations, certifications, breach history, and control maturity with weighted risk calculation and tier assignment.
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CRE Capital Markets and Debt Maturity suite - 8 specialist skills for maturity diagnostics, refinance proceeds gaps, extensions, workouts, rescue capital, term sheet comparison, CMBS special servicing readiness, lender updates, and recap IC memos.
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Design a threat hunting program — maturity assessment, hunting calendar, and playbook library. Use when asked to "build a threat hunting program", "assess our hunting maturity", or "create a hunt playbook library".
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Survey existing cloud cost controls — tagging coverage, alerting, and FinOps maturity. Use when asked to "audit our cost controls", "is our tagging complete", or "assess our FinOps maturity".
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Systematic code maturity assessment using Trail of Bits' 9-category framework. Analyzes codebase for arithmetic safety, auditing practices, access controls, complexity, decentralization, documentation, MEV risks, low-level code, and testing. Produces professional scorecard with evidence-based ratings and actionable recommendations. (project, gitignored)
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Detect project maturity stage (new/early/mid/mature) from file structure and route to appropriate onboarding workflow
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Use when assessing the maturity of a CTI programme, the user asks "how mature is our CTI?" / "what should we improve next?", or wants a benchmark against the five-level model across six dimensions.
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Use when the user wants a security-maturity scorecard / posture assessment of a module — category ratings with evidence, not a vulnerability hunt. Also on 'wie sicher ist dieses Modul aufgestellt?'
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Knowledge base from the GAO Technology Readiness Assessment Guide (GAO-20-48G, 2020). Use for evaluating technology maturity in acquisition programs and projects: Technology Readiness Levels (TRL 1–9) and related scales (MRL, IRL), identifying Critical Technology Elements (CTEs), the five-step process for a high-quality TRA, the four characteristics of a reliable TRA (comprehensive, well-documented, credible, defensible), Technology Maturation Plans (TMPs), and using TRA results in knowledge-based, milestone decisions. Assessment/maturity oriented: it measures readiness and frames risk — it is not a full SE process model, cost-estimating, or schedule guide (see sibling packs for those).
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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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