菜单
Measure project cost/schedule performance and forecast final outcomes with Earned Value Management using the PRA package. Use when a user provides a budget (BAC), a planned schedule curve, and actual costs/progress and wants SPI, CPI, variances, or an Estimate at Completion (EAC).
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Compute and update the probability of a risk event from root causes, and turn risk probabilities into project cost distributions, using the PRA package. Use when a user has a risk register with root-cause probabilities and wants a prior risk probability, a Bayesian update after observing causes, or a cost-impact distribution.
Quantify structural coupling between project tasks through shared resources and risks using the PRA package's Design Structure Matrices. Use when a user provides a resource–task matrix (and optionally a risk–resource matrix) and wants to see which task pairs are coupled and therefore tend to fail together.
Fit sigmoidal (S-curve) learning curves and forecast future values with the PRA package. Use when a user has historical time/completion (or unit/cost) data showing slow start, rapid acceleration, and plateau, and wants a fitted model plus predictions with confidence intervals.
Run Monte Carlo (or fast Second Moment) schedule/cost risk simulations with the PRA package. Use when a user provides task-level uncertainty distributions and needs the range of possible project outcomes — mean, standard deviation, and P5/P50/P95 percentiles — optionally accounting for task correlation.
Route a project risk analysis request to the right PRA tool. Use this as the entry point whenever a user asks about project cost/schedule uncertainty, earned value, risk probabilities, learning curves, or task dependencies and you are unsure which PRA capability applies. Points to the method-specific skills and the underlying MCP tools served by pra_mcp_server().
Size a project contingency reserve and rank the tasks that drive total uncertainty, using the PRA package. Use after (or alongside) a Monte Carlo simulation when a user asks "how much reserve do I need?" or "which tasks should I focus mitigation on?"
| name | pra-earned-value |
| description | Measure project cost/schedule performance and forecast final outcomes with Earned Value Management using the PRA package. Use when a user provides a budget (BAC), a planned schedule curve, and actual costs/progress and wants SPI, CPI, variances, or an Estimate at Completion (EAC). |
The user has a Budget at Completion, a cumulative planned-value curve, current progress, and actual costs, and wants performance indices or forecasts.
evm_analysis_tool(bac, schedule_json, time_period, actual_per_complete, actual_costs_json, cumulative) runs the complete ANSI/EIA-748 suite in one
call — do not chain the individual metrics manually.
bac: Budget at Completion (total planned budget).schedule_json: JSON array of cumulative planned completion fractions, e.g.
[0.1, 0.2, 0.4, 0.7, 1.0].time_period: current period (1-based index into the schedule).actual_per_complete: actual percent complete as a decimal (e.g. 0.35).actual_costs_json: JSON array of actual costs per period, e.g.
[10000, 22000, 37000].cumulative: "true" if the costs are already cumulative, else "false".BAC / CPI — current trend continues.AC + (BAC − EV) — current variance is a one-off.AC + (BAC − EV) / (CPI × SPI) — schedule pressure affects cost.