菜单
Use when reporting on hiring health or investigating a stalled role — measures funnel conversion and time-in-stage, locates bottlenecks and drop-offs, and turns each finding into a recommended fix with a named owner.
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
Use when you need to assess whether a client account is healthy, at risk, or slipping — before renewal, after a rough patch, or on a regular cadence — and decide what to do about it.
Use when a client request is ready to become production work and you must brief creative or media — turning a vague ask into an objective, an audience, and constraints the team can build against.
Use when responding to an RFP or writing a new-business proposal — to decide whether to pursue it, shape the offer, and produce a document a client can say yes to.
Use when preparing the quarterly review a client account faces — to report results against the objective honestly, read what worked, and set what the next quarter buys.
Use when you need to write or change a statement of work — turning an agreed offer into a scope, deliverables, price, and terms that both protect the client and defend the agency's margin.
Use when reviewing compensation for a role, a team, or the whole population — checks where people sit against defensible bands, finds equity gaps, and produces a ranked, costed set of adjustments.
| name | pipeline-health-report |
| description | Use when reporting on hiring health or investigating a stalled role — measures funnel conversion and time-in-stage, locates bottlenecks and drop-offs, and turns each finding into a recommended fix with a named owner. |
A playbook for turning the pipeline's raw activity into a decision-ready read on where hiring is winning and where it's leaking. The failure mode it prevents: a dashboard full of numbers that names no bottleneck, assigns no owner, and changes nothing.
Pipeline health report: funnel table (counts, conversion, time-in-stage vs. baseline) → ranked bottlenecks with cost in hires → drop-off/decline analysis by cause → recommended fixes with owner and success metric → data-quality notes.
