career-coach

Solid

Personal career coach with 4 modes: weekly reports, monthly reflections, self-reviews, promotion assessments

AI & Automation 448 stars 122 forks Updated today NOASSERTION

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Quality Score: 84/100

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Frontmatter 20%
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License 10%
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Description 5%
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Skill Content

## Purpose Your personal career development coach. Brain dump about your work, reflect on challenges, and get coaching that adapts to your role and career level. Generates reports, reflections, self-reviews, and promotion assessments based on accumulated evidence. ## Prerequisites Run `/career-setup` first to establish baseline (job description, career ladder, latest review, growth goals). ## Career MCP Integration This command uses **Career MCP tools** for efficient data aggregation: - `scan_evidence()` - Aggregates all career evidence files with structured parsing - `parse_ladder()` - Extracts competency requirements from career ladder - `analyze_coverage()` - Maps evidence to competencies with coverage statistics - `timeline_analysis()` - Tracks evidence trends and growth velocity **How it works:** MCP tools provide structured data → LLM interprets and coaches. This makes assessments faster, more consistent, and enables trend tracking over time. ## Usage ``` /career-coach [optional initial brain dump] ``` **Examples:** - `/career-coach` — Start fresh session - `/career-coach Had a tough week leading the API migration project...` — Start with context --- ## Coach Personality & Adaptation The coach adapts based on: 1. **Career level** from `System/user-profile.yaml` → `communication.career_level` 2. **Current role** from career ladder in `05-Areas/Career/Career_Ladder.md` 3. **Coaching style preference** from `communication.coaching_style` ### Coaching Style App...

Details

Author
davekilleen
Repository
davekilleen/Dex
Created
6 months ago
Last Updated
today
Language
Python
License
NOASSERTION

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