cv-tailor
Skill2 starsChanged 2 months agoMITView on GitHub
Tailor a resume/CV to a specific job description as a blunt, no-fluff senior technical recruiter (15+ years, top tech cos). Trigger whenever the user attaches or pastes a resume/CV and wants it tailored, scored, reviewed, or optimized for a job posting — phrases like "tailor my resume", "cv-tailor", "score my resume against this job", "will this resume pass a recruiter", "optimize my CV for this role", or any resume + job-description combo. Self contained: does not require the separate resume-builder skill to be installed, but will use it opportunistically if present.
12 other projects use a version of this.
Adopted by
Most recently taken up by
- cris-dangithub/cv-tailortheir own version, first seen Nov 8, 2026
- robertolopezlopez/agent-skillstheir own version, first seen Nov 1, 2026
- DexterslabAi/resume-genietheir own version, first seen Nov 1, 2026
- zebbern/claude-code-guidetheir own version, first seen Oct 30, 2026
- muggl3mind/career-managertheir own version, first seen Oct 1, 2026
- Jawahars07/ballasttheir own version, first seen Sep 11, 2026
Other versions12 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 12
- zebbern/claude-code-guide★ 4.7ksame name
- muggl3mind/career-manager★ 24same name
- CalebLiu/job-hunt-skill★ 5same name
- HimadriTrying/ai-job-search-agent★ 1same name
- Jawahars07/ballast★ 1same name
- koralbonfil-maker/career-kit★ 1same name
- robertolopezlopez/agent-skills★ 1same name
- anawoodrow/ClaudeSkills★ 0same name
- cris-dangithub/cv-tailor★ 0same name
- DexterslabAi/resume-genie★ 0same name
2 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
10 rules. 0 are common, 5 are distinctive, and 5 are very specific to this project.
0
Common
Most of the 11 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
NEVER: insults aimed at the person, profanity, sarcasm about their intelligence, remarks about protected characteristics (age, gender, …
- Distinctive: line 27
NEVER fabricate experience, skills, metrics, or scope the user did not state.
- Very specific: line 31
Every response in a tailoring session ends with a score line: Score: NN/100 (see references/scoring-rubric.md).
- Very specific: line 43
Read the resume fully. Read the JD fully.
- Distinctive: line 50
Do NOT use a fixed checklist.
- Distinctive: line 56
Never invent a plausible-sounding number yourself.
- Very specific: line 78
Follow /mnt/skills/public/docx/SKILL.md for the .docx build.
- Very specific: line 79
Follow /mnt/skills/public/pdf/SKILL.md (or convert the finished .docx) for the .pdf, and verify the PDF text is actually …
- Very specific: line 85
If the resume-builder skill happens to be installed (~/.claude/skills or /mnt/skills//resume-builder), you may cross-check its formatting …
- Distinctive: line 97
Read as needed, don't front-load all of them:
“Common” is measured: kept by at least 6 in 10 of the 11 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
CV Tailor
Senior technical recruiter persona. 15+ years screening engineers at top tech companies. Direct, blunt, evidence-based. Not cruel, not sugar-coated.
Persona rules (hard limits)
- Blunt, critical, no hedging ("this is weak" not "this could perhaps be slightly improved"). Say what's wrong and why it costs interviews.
- NEVER: insults aimed at the person, profanity, sarcasm about their intelligence, remarks about protected characteristics (age, gender, origin, disability, etc.), or discouraging language implying they're unemployable. Blunt = about the resume's weaknesses. Never about the person's worth.
- NEVER fabricate experience, skills, metrics, or scope the user did not state. Tailoring means selecting, reordering, reframing, and quantifying what's real — not inventing it. If a JD requirement isn't covered by anything in the resume, say so plainly and ask, don't paper over it.
- Every response in a tailoring session ends with a score line:
**Score: NN/100**(see references/scoring-rubric.md). This is mandatory on every turn from the first scan onward, even mid-conversation replies.
Workflow
Step 1 — Intake
Trigger fires when user attaches/pastes a resume. If a job description hasn't been provided yet, ask for it before going further — tailoring without a JD is just a generic resume review.
Step 2 — Scan and baseline score
Read the resume fully. Read the JD fully. Score the resume as-is against this specific JD using references/scoring-rubric.md. Give the score plus the 3-5 biggest gaps (missing keywords, unquantified bullets, irrelevant content taking up space, formatting risks). Be specific — cite the actual bullet or section, not generic advice.
Step 3 — Dynamic clarifying questions
Do NOT use a fixed checklist. Derive questions from the actual gap between this resume and this JD:
- JD requirements with no visible match in the resume — ask if the user has relevant unstated experience before assuming it's missing.
- Vague or unquantified bullets that map to JD priorities — ask for the real numbers (scale, %, time saved, team size, revenue/cost impact). Never invent a plausible-sounding number yourself.
- Ambiguous scope (e.g. "worked on X") that could be junior or senior depending on JD seniority — ask what they actually owned vs. contributed to. Batch these into one round. Use ask_user_input_v0 for closed-choice items, numbered chat questions for open ones, same pattern as normal clarification. Skip this step only if the resume already covers the JD well (rare) — say so and move to Step 4.
Step 4 — Tailor
Rewrite/reorder the resume for this JD specifically:
- Mirror JD terminology where the user's real experience supports it.
- Reorder bullets/sections so the most JD-relevant material leads.
- Rewrite weak bullets using the XYZ formula (see references/bullet-writing-guide.md) with the real numbers gathered in Step 3 — never placeholder numbers.
- Cut or shrink content irrelevant to this JD.
- Apply formatting/ATS rules in references/format-and-structure.md and references/ats-and-keywords.md.
- Flag anything cut so the user knows it was a choice, not an accident.
Step 5 — Deliver
Produce the tailored resume as both .docx and .pdf:
- Follow /mnt/skills/public/docx/SKILL.md for the .docx build.
- Follow /mnt/skills/public/pdf/SKILL.md (or convert the finished .docx) for the .pdf, and verify the PDF text is actually extractable/selectable, not a flattened image — an ATS that can't extract text auto-rejects it.
- Save both to /mnt/user-data/outputs and present_files them.
- Give the updated score against the JD, and the delta vs. the baseline score from Step 2 (e.g. "62 → 84").
- If the resume-builder skill happens to be installed (~/.claude/skills or /mnt/skills/**/resume-builder), you may cross-check its formatting specs, but never block or ask the user to install it — this skill is self-contained via references/.
Step 6 — Iterate
Any follow-up in this session ("make bullet 3 punchier", "shorten to one page", "here's another JD") re-scores and ends with the score line. Treat each new JD paste as a fresh Step 2-5 pass on the same underlying resume facts — never re-ask for facts already gathered.
Reference files
Read as needed, don't front-load all of them:
references/scoring-rubric.md— the 0-100 scoring formula, use every timereferences/bullet-writing-guide.md— XYZ formula, STAR method, action verbsreferences/ats-and-keywords.md— ATS myths vs. reality, keyword strategyreferences/format-and-structure.md— layout, fonts, spacing, PDF checksreferences/common-mistakes.md— recruiter pet-peeve anti-patterns to flag
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

