Analyze VPC personas to detect alignment gaps and generate drift reports.
npx skills add https://github.com/fjpulidop/specrails-core --skill vpc-drift
Please help me install this Agent Skill. Skill: vpc-drift Source: https://github.com/fjpulidop/specrails-core/tree/main/specrails-plugin/skills/vpc-drift Command: npx skills add https://github.com/fjpulidop/specrails-core --skill vpc-drift
Detect when user personas defined in the VPC drift from actual usage patterns, surfacing alignment gaps and concrete VPC updates.
Run /specrails:vpc-drift to generate a drift report for your project.
High-intent search queries and answers about installing and using this skill.
User persona drift is detected by analyzing backlog signals, implemented features, and agent-memory patterns to surface alignment gaps between documented VPC attributes and actual delivery. This produces per-persona drift scores and concrete recommendations.
VPC persona drift is the misalignment between defined user personas and actual usage patterns. It is measured by fusing cross-backlog and feature signals to generate per-persona drift scores, identify drifted attributes, and output structured JSON or Markdown reports.
To fix persona alignment gaps, the analysis generates actionable VPC update recommendations across multiple phases based on detected drifted attributes. It uses keyword-based matching and semantic assessment to provide clear drift levels and misalignment indicators.
Yes, VPC drift reports can be exported in structured JSON or Markdown formats. The system outputs per-persona drift scores, drifted attributes, and concrete VPC update recommendations with clear drift levels and misalignment indicators for downstream use.
VPC drift detection operates without external dependencies or components, relying on internal analysis of backlog signals, implemented features, and agent-memory patterns to evaluate alignment gaps and generate per-persona drift scores.
You should run a VPC drift report when documented user personas potentially diverge from actual delivery. The analysis identifies drifted attributes and alignment gaps using semantic assessment and cross-backlog signal fusion to recommend VPC updates.
fjpulidopGenerate GitHub Issues labeled product-driven-backlog from Value Proposition Canvas-based proposals.
fjpulidopExtract GitHub issue backlog data and compute dependency-ordered priorities.
akaszubskiValidate feature alignment against PROJECT.md goals, scope, and constraints.
edwardmonteiroGenerate a structured user story map from persona and goals.
