bigtech-interview-project-upgrader
bigtech-interview-project-upgrader is a Career & job search skill for AI agents, published by YingaoWang-casia in the shushu-ProjectProof repository on GitHub. Skillspace rates bigtech-interview-project-upgrader C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Helps users upgrade real resumes, internships, small-company projects, toy demos, Agent/LLM apps, data-cleaning tasks, internal tools, CRUD systems, frontend/backend projects, speech projects, or algorithm projects into credible big-tech interview-ready narratives. Use when the user wants JD-to-resume mapping, evidence-bound resume rewriting, weak-project diagnosis, large-company technical interview drills, interviewer-style deep dives, bad-case discovery, contribution boundary clarification, truthful project enhancement plans, or SP/SSP-level internship preparation without fabricating experience.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 67
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 93 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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