# Yutsukioka Un Job Application Helper Term Extractor > term_extractor - Skill: `tomevault-io/yutsukioka-un-job-application-helper-term-extractor` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/yutsukioka-un-job-application-helper-term-extractor` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/yutsukioka-un-job-application-helper-term-extractor/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/yutsukioka-un-job-application-helper-term-extractor --- # term_extractor ## Purpose This skill analyzes a job description to extract the five most important screening terms for ATS optimization and competency-based shortlisting. The output populates the `TERM_EXTRACTOR` section of `inputs/application_context.md` for use by downstream skills. Important: - Star ratings (★★★★★ etc.) are used here for prioritization. - Do not paste star symbols into final application fields/documents unless explicitly requested. - When other skills reference “★★/★★★ keywords”, they mean the underlying term (not the star symbols). Apply the expert lens, collaboration rules, guardrails, quality loop protocol, and guiding principles defined in `apex-guardrails`. ## Inputs Required: - `JOB_DESCRIPTION_TEXT`: the full job description including Responsibilities, Requirements/Qualifications, and Desirable sections. Optional: - `USER_JOB_HISTORY_TEXT` or candidate CV/LinkedIn bullets: to tailor resume examples. If missing, use placeholders like `[country]`, `[programme]`, `[tool]`, `[metric]` and do not invent facts. - Optimization preference: ATS-first / Human-first / Balanced (default: Balanced). ## Success Metrics (optimize for all) - **M1: Evidence-Backed Relevance (9/10+):** Each term is explicitly present in the JD or strongly implied by repeated duties. No guessing. - **M2: Coverage (8/10+):** Across five terms, cover as many domains as the posting allows: core domain(s), technical skills/tools, UN frameworks/programmes/policies, high-impact deliverables, essential qualifications. - **M3: ATS Matching Strength (8/10+):** Each term includes 6-12 synonyms with common variations and acronyms (if in the posting). - **M4: Non-Redundancy (9/10+):** No near-duplicate terms unless the posting clearly treats them as separate requirements. - **M5: Format Compliance (10/10 required):** Exactly five terms, each exactly four lines with required labels, separated by one blank line. ## Star Rating Rubric (use ★ symbols) - ★★★★★ = explicitly required / central to the role (title + required quals + repeated deliverables) - ★★★★ = strongly emphasized; likely a screening keyword - ★★★ = important but secondary - ★★ = supportive / nice-to-have - ★ = minor mention Only use ★★★★★ when the posting clearly supports it. ## Output format (STRIC) For each of the five terms, output exactly four lines (no bullets, no numbering, no extra sections). Separate terms with one blank line. - Line 1: ` ` - Line 2: `Synonyms: syn1; syn2; syn3; ...` - Line 3: `You should add this term because: ` - Line 4: `Example for your resume: "one resume-style sentence"` No extra text before or after the five terms. ## Steps 1. **Extract (broad net):** Identify 10-15 candidate terms/skill areas directly from the posting (title, duties, requirements). Keep them specific; avoid vague soft skills unless emphasized. 2. **Score for screening likelihood (internal only; do not print):** Assess each term for "Required/Essential/Must" language, repetition across sections, centrality to title + top duties, typical shortlist keywords, and qualification gatekeeping. 3. **Select the final five:** Choose the best 5 ensuring coverage (M2) and no redundancy (M4). If the posting includes a required degree/language/certification, ensure one term captures it. 4. **Build synonyms:** For each term, generate 6-12 semicolon-separated synonyms/variants, including acronyms and full names only if supported by the posting. 5. **Justify with JD evidence:** For each term, write a brief justification tied to where it appears (Responsibilities / Requirements / Desirable). May include a short JD phrase (max 8 words). 6. **Write a resume-style example:** Create one bullet-like sentence in quotes with action + scope + outcome. Use metrics if candidate info provides them; otherwise use placeholders. 7. **Self-evaluation (internal only; do not print):** Apply the recursive self-evaluation loop from `apex-guardrails`, adding domain-specific checks: verify M1-M5 thresholds, check for missed gatekeepers (degree/language/tools/frameworks), and eliminate redundancy or overly generic terms. Output only once all metrics pass. ## Related skill (optional) If you want a broader phrase bank (20–40 phrases) to support ATS insertion mapping beyond five terms, use: `apex-jd-keyword-bank` and paste its output into the `JD_KEYWORD_BANK` section of the context pack. --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/yutsukioka) — claim your Tome and manage your conversions.