From career-navigator
Retrieves a small, competency-matched subset of interview stories from CareerNavigator/StoryCorpus.json for prep and mock interview workflows. Returns only the highest-fit stories so the model can expand into STAR responses without loading full raw journals.
npx claudepluginhub tmargolis/career-navigator --plugin career-navigatorThis skill uses the workspace's default tool permissions.
Select targeted stories from the persistent story corpus for immediate interview use.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
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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.