From career-navigator
Retrieves competency-matched interview stories from a persistent corpus for prep and mock interview workflows, returning compact context sets with STAR readiness status.
How this skill is triggered — by the user, by Claude, or both
Slash command
/career-navigator:story-retrievalThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Select targeted stories from the persistent story corpus for immediate interview use.
Select targeted stories from the persistent story corpus for immediate interview use.
{user_dir} and gateRequire {user_dir}/CareerNavigator/StoryCorpus.json.
If missing or empty:
mine-stories first (or run it now with user approval if appropriate).ExperienceLibrary.json only if the user wants to proceed immediately.Use available interview context:
application_id or company + roleinterview_stageDerive desired competencies/themes for this specific interview.
For each story in corpus, score by:
Return only a small subset:
Output each item as:
story_idraw_summarystar_ready)For top stories with incomplete STAR fields:
star_ready: true only when S/T/A/R are each concrete and evidence-backedStoryCorpus.jsonWhen invoked by prep/mock flows, provide a compact handoff payload:
{
"retrieval_context": {
"company": "...",
"role": "...",
"interview_stage": "..."
},
"selected_stories": [
{
"story_id": "...",
"summary": "...",
"competencies": ["..."],
"themes": ["..."],
"star_ready": true
}
]
}
This payload is the preferred interview evidence input for interview-coach.
npx claudepluginhub tmargolis/career-navigator --plugin career-navigatorBuilds and incrementally updates a JSON interview story corpus from journal entries, PKM notes, debriefs, resumes, and related documents for interview prep.
Coaches full job search lifecycle: JD decoding, resume/LinkedIn optimization, storybank building, mock interviews, transcript analysis, comp negotiation. 23 /coach commands with persistent state.
Conducts structured behavioral interviews using the STAR method with standardized questions and scoring. Useful during hiring to ask competency-based questions that predict job performance.