interview-import

Import SPEC.md, PHASES.md, and RESEARCH.md files into the interview prep feature log.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/jacobrocks1212/claude-config --skill interview-import
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: interview-import
Source: https://github.com/jacobrocks1212/claude-config/tree/main/user/plugins/local-tools/plugins/work-logging-plugin/skills/interview-import
Command: npx skills add https://github.com/jacobrocks1212/claude-config --skill interview-import

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Planning artifacts such as SPEC.md, PHASES.md, and RESEARCH.md often reside across repos and are hard to assemble into interview prep materials. This skill automates importing these artifacts into the interview prep workflow, creating centralized features for interview readiness.

Core Features & Use Cases

  • Automated import of SPEC.md, PHASES.md, and RESEARCH.md from project repositories into the interview feature log.
  • Idempotent updates by content hashing to avoid duplicates when re-importing unchanged files.
  • Extracts feature titles from the first H1 headings for quick review.

Quick Start

Run /interview-import <directory> [project-name] to import SPEC.md, PHASES.md, and RESEARCH.md into your interview prep feature log.

Frequently Asked Questions about interview-import

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I import SPEC.md and RESEARCH.md files from project repos into interview prep materials?▼

To import planning artifacts for interview prep, run a recursive directory scan targeting SPEC.md, PHASES.md, and RESEARCH.md files. The tool extracts feature titles from the first H1 heading and logs centralized entries into a dedicated interview feature log.

Why does importing planning artifacts repeatedly create duplicate entries in my feature log?▼

Importing planning artifacts repeatedly should not create duplicates because the process uses content hashing for idempotent updates. If a file's content hash matches a previous import, the system skips it, ensuring your interview feature log remains clean during re-imports.

Can I filter which planning artifacts get imported or do a dry run before committing changes?▼

You can filter planning artifacts using optional artifact_types parameters and execute a dry_run to preview changes. The dry run scans directories recursively without writing to the feature log, while filters restrict imports to specific SPEC.md, PHASES.md, or RESEARCH.md files.

What is the best way to consolidate project specs across multiple repositories for interview readiness?▼

The best way to consolidate project specs for interview readiness is running an automated recursive directory scan across repositories. It assembles scattered SPEC.md, PHASES.md, and RESEARCH.md files into a centralized features.jsonl log with tracked import history.

Where are imported interview features stored after scanning project directories?▼

Imported interview features are stored in ~/.interview-prep/features.jsonl after scanning project directories. The system also maintains an import-index.jsonl file recording the complete import history and content hashes for idempotent tracking.

Do I need specific heading structures in my planning artifacts for the import to work?▼

You need a first H1 heading in your planning artifacts for the import to extract feature titles effectively. The system relies on these H1 headings to generate quick review titles when creating centralized interview feature entries from your specs.