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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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npx skills add jgsystemsconsulting/jgs-se-knowledge-packs --skill gao-tra -a claude-code
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De ce 70
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
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- gao-costjgsystemsconsulting/jgs-se-knowledge-packsKnowledge base from the GAO Cost Estimating and Assessment Guide (GAO-20-195G). Use for program cost estimating: the four characteristics of a reliable estimate (comprehensive, well documented, accurate, credible) and the 18 best practices; the 12-step cost estimating process (purpose, plan, technical baseline, WBS, ground rules and assumptions, data, point estimate, sensitivity, risk/uncertainty, document, present, update); estimating methods (analogy, parametric, engineering build-up, learning curves); Monte Carlo risk/uncertainty analysis, confidence levels and contingency; auditing and validating an estimate against the characteristics; earned value management (EIA-748, BCWS/BCWP/ACWP, CPI/SPI/TCPI, EAC, PMB, IBR); and specialized techniques (software cost estimating, learning curves, Analysis of Alternatives, WBS templates, the Green Book internal-control framework). This is the cost-estimating companion to the GAO Schedule and Technology Readiness Assessment guides. Does not cover schedule estimating/riPlanificare★ 98
- mrl-deskbookjgsystemsconsulting/jgs-se-knowledge-packsKnowledge base from the Manufacturing Readiness Level (MRL) Deskbook (Version 2025, 1 May 2025, OSD ManTech / Joint Service/Industry MRL Working Group). Use for manufacturing maturity and producibility risk in defense acquisition: ten-level MRL scale (target, not grade); demonstration environments; nine Section 2.4 threads; Adaptive Acquisition Framework pathway targets; assessment-to-MMP loop; contract language (Section L/M, SOW, AS6500A, DIDs); criteria adaptation for S and T, sustainment and depot, limited systems including ships, and industry gates; and OT cybersecurity screening inside an assessment. Manufacturing-readiness focused: it measures producibility risk and frames mitigation; it is not a technology-readiness (TRL) guide, not a full systems-engineering process model, not a cost-estimating or schedule guide, and not a deep cybersecurity audit method (see sibling packs for those).Juridic★ 98
- gao-schedulejgsystemsconsulting/jgs-se-knowledge-packsKnowledge base from the GAO Schedule Assessment Guide (GAO-16-89G, 2015). Use for building, assessing, or auditing a program's integrated master schedule (IMS): the ten best practices of a reliable schedule (capture, sequence, resource, duration, traceability, valid critical path, reasonable total float, schedule risk analysis, updating, baseline), the four characteristics (comprehensive, well-constructed, credible, controlled), critical path method arithmetic (forward/backward pass, total float), schedule risk analysis (Monte Carlo, contingency), statusing and baseline control, and the Appendix II audit triad. Scheduling/time-management oriented: it is the authority on schedule reliability, but it is NOT a cost-estimating guide, a full SE process model, an agile guide, or a risk-management framework — see sibling packs (gao-cost, dau-se-guidebook, nasa-schedule, nasa-risk) for those.Altele★ 98
- digital-maturity-assessmentdatadrivenconstruction/DDC_Skills_for_AI_Agents_in_ConstructionAssess organization's digital transformation readiness. Evaluate data culture, technology adoption, and process maturity.Altele★ 391
- code-maturity-assessortrailofbits/skillsSystematic 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, then produces a scorecard with evidence-based ratings and a priority-ordered roadmap. Use when assessing or scoring the maturity of a smart contract or blockchain codebase, producing a maturity scorecard or evaluation, or judging how mature, well-tested, or well-documented such a project is against a rubric.Inginerie★ 8K
- ai-readiness-assessmentOneWave-AI/claude-skillsAssesses how ready a business is for AI adoption across six dimensions. Evaluates data maturity, tech stack, team skills, process documentation, budget, and culture. Generates a comprehensive ai-readiness-report.md with scores, gap analysis, and recommended starting points. Aligned with OneWave AI's audit methodology.Altele★ 412
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