# Career > Manages career workflows: resume review and scoring, job evaluation with apply recommendations, rubric development, content extraction from conversations, and pipeline quality audits. - Skill: `joshuashepherd/career` (Agent Skill) - Install (CLI): `npx skillmds add joshuashepherd/career` - Raw SKILL.md: https://api.skillmd.com/api/skills/joshuashepherd/career/raw - Safety review: PASS (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Productivity - Tags: Career, Content Extraction, Job Evaluation, Pipeline Audit, Resume, Rubric - Author: JoshuaShepherd (https://skillmd.com/u/joshuashepherd) - Updated: 2026-08-22 - Page: https://skillmd.com/skills/joshuashepherd/career --- # Career Career management including resume coaching, job evaluation, and career pipeline tools. ## When to Invoke User can say things like: - "Run a resume review on [file or role]" - "Review my resume for [formatting / design / content / this job]" - "Score this job" / "Evaluate this job posting" / "Should I apply to this role?" - "Help with rubric development" or "Evaluate this resume adaptation" - "Develop the content set from remaining convos" or "Pull more from conversations" - "Audit the resume chain" or "Can I trust this pipeline?" Route to the right workflow below. ## Configuration | Variable | Description | |----------|-------------| | `{{DOCS_ROOT}}` | Path to resume master docs directory (e.g. `resume-docs/master/`) | | `{{PROMPTS_ROOT}}` | Path to extraction/tailoring prompt templates (e.g. `resume-docs/prompts/`) | | `{{INDEX_ROOT}}` | Path to processing index files (e.g. `resume-docs/_index/`) | | `{{CONVERSATIONS_DIR}}` | Path to exported conversation archives (if using content extraction) | --- ## 1. Resume Review **Purpose:** Formatting/design, content quality, or job-specific content decisions. **Steps:** 1. **Identify scope** from the user: full review, formatting-only, content-only, or review against a specific job description. 2. **Load context:** The resume (or path) and, if job-specific, the job posting. Optionally load master docs to check traceability to evidence. 3. **Apply standards** from the tailored resume prompt and **score using** the resume quality rubric (target 100): - Structure: header, headline, executive summary, competencies, experience (reverse chronological), education. - Bullets: Action + Scope + Method + Outcome; quantified where possible. - Tone: confident, precise, outcomes-oriented; no vague claims without evidence. - ATS: single-column, parseable; no meta text in canonical output (no Status/DONE/draft). 4. **Deliver:** Concise feedback (formatting / content / job-fit) with specific edits or suggestions; optionally include rubric score (0-100). If job-specific, note keyword coverage and gaps. **Output format:** - Summary (2-3 lines) - By section or theme: what works, what to change, optional rewrite snippets - Optional: requirement-coverage note if a JD was provided --- ## 2. Job Evaluation -- Scores, Recommendation, and Resume Revisions **Purpose:** Score any job (browser-found or user-supplied JD) for fit and interview likelihood; give a clear apply/not-apply recommendation; for strong fits, output specific resume revision recommendations. **Steps:** 1. **Load:** The job description/posting (and optional company context). Load the universal job rubric and the master docs needed to map evidence. 2. **Score:** Apply Rubric A (Ideal Job Match 0-100) and Rubric B (Interview Odds 0-100). Use only documented evidence from master docs. 3. **Recommend:** Map scores (and any deal-breakers) to exactly one tier: - **Definite No Go** | **Nah** | **Meh** | **Good Fit** | **Freaking Apply Now** 4. **Why:** Provide 2-4 sentences citing both scores and 1-2 concrete factors that drove the recommendation. 5. **Resume revision recommendations:** **Only** if recommendation is **Good Fit** or **Freaking Apply Now**, produce: - Summary edits - Core competencies adjustments - Experience bullets by role - Keywords to integrate - Cover letter/application notes Every item must be specific, actionable, and traceable to master docs. **Deliver:** Scores -> Recommendation tier -> Why -> [If Good Fit+] Resume revision recommendations (copy-paste applicable). --- ## 3. Rubric Development and Resume Adaptation Evaluation **Purpose:** Create or refine scoring rubrics; evaluate how well a resume (or adaptation) matches a role or meets criteria. **Steps:** 1. **Clarify:** New rubric (e.g. for a role type or org) vs. evaluating an existing resume/adaptation against current rubrics. 2. **For rubric development:** - Read existing rubrics for structure reference. - Propose or refine criteria and weights; document in the same style. 3. **For adaptation evaluation:** - Load the resume and the target job. Score using Ideal Job Match and Interview Odds. - Check resume against the suggested resume revision recommendations (if any) and requirement coverage. - List strong alignment and risks/gaps; suggest improvements. 4. **Deliver:** Rubric draft or evaluation summary with scores, strengths, risks, and concrete next steps. --- ## 4. Content / Data Set Development from Conversations **Purpose:** Enrich master docs and bullet list from conversation archives not yet processed. **Steps:** 1. **Check processed list:** `{{INDEX_ROOT}}/processed_conversations.md` -- which prompts have been run for which conversation IDs. 2. **Identify gaps:** Which conversation files are not yet processed for the prompts relevant to the user's goal (employers, timeline, skills, achievements, portfolio, AI, roles, story, descriptions, cross-check). 3. **One run = one (or few) conversation files in context.** Do not load the entire archive at once. Use the prompt chain: - Prompts 1-9: extract employers, timeline, skills, achievements, portfolio, AI work, roles, story, bullet-ready content into master docs and update the processed list. - Prompt 10: cross-check and append gaps/conflicts to `{{INDEX_ROOT}}/gaps-and-conflicts.md`; update processed list. 4. **Rules:** Only write under `{{DOCS_ROOT}}`. After each run, update the processed list for the prompt(s) used. No fabrication; cite conversation_id and angle for additions. 5. **Deliver:** Short summary of what was processed, what was added, and any conflicts or suggested follow-ups. --- ## 5. Trust and Quality Audit of the Resume Pipeline **Purpose:** Let the user trust the pipeline and know where quality is enforced. **Steps:** 1. **Map the chain:** List the pipeline components: - **Data:** Master docs, populated by extraction prompts and cross-check. - **Tailoring:** Tailored resume prompt with scoring, requirement mapping, evidence mapping, bullet rewriting, keyword integration. - **Output:** Markdown (canonical), ATS plain text, optional HTML/PDF. 2. **Quality checkpoints:** - No fabrication; evidence only from master docs or approved extraction. - Scoring before writing; requirement extraction -> evidence mapping -> positioning; quality checklist before finalizing. - Traceability: every claim in a resume should map to a master doc or a cited conversation. 3. **Optional audit:** For a given tailored resume, verify: - Bullets trace to master bullet list or other master docs - Keywords align with stated job - Dates/titles consistent with master timeline and employers/roles doc 4. **Deliver:** Short "chain overview" plus where quality is enforced; if an audit was run, report traceability and any issues. --- ## Suggested File Structure | Purpose | Path | |---------|------| | Master docs (source of truth) | `{{DOCS_ROOT}}/00-master-timeline.md` ... `08-*.md` | | Universal job rubric | `{{DOCS_ROOT}}/10-universal-job-rubric-and-apply-recommendation.md` | | Ranked jobs | `{{DOCS_ROOT}}/11-ranked-jobs-with-apply-recommendations.md` | | Resume quality rubric (0-100) | `{{DOCS_ROOT}}/09-resume-quality-rubric.md` | | Master bullet list | `{{DOCS_ROOT}}/07-master-bullet-list.md` | | Tailored resume prompt | `{{PROMPTS_ROOT}}/prompt-11-master-tailored-resume.md` | | Extraction prompts | `{{PROMPTS_ROOT}}/prompt-01-employers.md` ... `prompt-10-cross-check.md` | | Processed list | `{{INDEX_ROOT}}/processed_conversations.md` | | Gaps/conflicts | `{{INDEX_ROOT}}/gaps-and-conflicts.md` | --- ## Quality Rules - **No fabrication** -- every claim must trace to a master doc or cited conversation - **Score before you write** -- always evaluate fit before tailoring - **One conversation at a time** -- don't load entire archives - **Update the index** -- mark conversations as processed after each run - **Traceability** -- every bullet should map to evidence