spec-driven-behavioral-interviews

Add or improve Markdown bold emphasis for key phrases in behavioral interview JSON text. Use when highlighting competency briefs, prompts, prompt variants, interviewer intent, evidence, decision criteria, trade-offs, operating mechanisms, red flags, follow-up probes, or rubric signals with **key phrase** markers while preserving valid project data.

Promote a specific behavioral interview on LinkedIn from a provided interview.json URL or path. Use when drafting LinkedIn copy that explains behavioral interviews, their education and interviewing value, the project, and includes both the concrete interview anchor link and the full catalog link.

Review behavioral interview specs in this repository for realism, balance, educative value, interviewer usability, and data quality. Use when asked to critique interviews, audit the catalog, identify gaps, score interview quality, or write/update REVIEW.md with findings and recommendations.

Review behavioral interview specs in this repository for realism, balance, educative value, interviewer usability, and data quality. Use when asked to critique interviews, audit the catalog, identify gaps, score interview quality, or write/update REVIEW.md with findings and recommendations.

Create new behavioral interview specs for the spec-driven-behavioral-interviews repository. Use when adding a new interview dataset, choosing category placement, scaffolding data/book or data/examples entries, filling the JSON schema, or preparing a new interview for the static explorer.

Improve existing behavioral interview specs in this repository. Use when upgrading an interview JSON file, making generic examples more concrete, strengthening strong and weak answer patterns, deepening follow-up probes, improving evaluation rubrics, or aligning an existing interview with the project schema and quality bar.

Add or improve concrete example stories, prompt variants, weak and strong answer variants, and follow-up angles for behavioral interview specs in this repository. Use when a user asks for more concrete examples inside each interview, more variants by role or level, or better example coverage.

Plan, add, and generate visual assets for behavioral interview specs in this repository. Use when deciding where interviews should be illustrated, adding assets.icon, explainerComic, strong/weak answer pattern aiVisual, strong/weak signal visuals, or exampleStories aiVisual fields, running dry-run image generation scripts, or improving visual prompts and generated interview imagery.

Find, vet, group, and add credible external resources for behavioral interview specs in this repository. Use when researching books, articles, interviews, podcasts, official frameworks, engineering-leadership resources, responsible-tech references, or when populating the toProbeFurther.links list in interview.json datasets.