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/edit-resume

Edit existing resume/CV or cover letter from critique feedback and user suggestions

From plugin
claude-resume-kit
2126 skills
Install
$ npx -y skills add ARPeeketi/claude-resume-kit --skill edit-resume --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/edit-resume

Context preview

The summary Claude sees to decide when to auto-load this skill.

Edit existing resume/CV or cover letter from critique feedback and user suggestions

SKILL.md

edit-resume.SKILL.md
description: Edit existing resume/CV or cover letter from critique feedback and user suggestions
user-invocable: true

/edit-resume

**User input:** `$ARGUMENTS`

Parse `$ARGUMENTS`: First argument is the .tex file path (required). A `.md` path is the critique file. Text in quotes is inline instructions.

  • `/edit-resume output/Acme/e2e_acme_resume.tex`
  • `/edit-resume output/Acme/e2e_acme_resume.tex output/Acme/critique_acme.md`
  • `/edit-resume output/Acme/e2e_acme_resume.tex "shorten Position 1 header, fill last page"`

If only .tex path and no instructions: ask the user what to fix.

---

Safety Rules (ALWAYS ENFORCED)

**Accuracy > Relevance > Impact > ATS > Brevity**

Read `config.md` Provenance Flags before editing any content. Verify every claim against that table.

  • Use the email from `config.md` Personal Info in all outputs
  • Source ALL bullet content from `resume_builder/experience/` files. Never fabricate.
  • Resume bullets: ALL variable bullets must be 2L (CV: 2L/3L mix OK, check `config.md` Document Preferences)
  • Run `python3 resume_builder/helpers/char_count.py` after edits — the tool is authoritative

FIXED Sections — Refuse if Asked to Edit

Check `config.md` FIXED Sections for the list of template-locked sections. Say no and explain: these are template-locked across all outputs.

VARIABLE sections only: Summary, Technical Skills, Research Experience bullets/headers.

---

User Input During Execution

If the user provides feedback, corrections, or suggestions at any point: 1. Acknowledge the input immediately 2. If it affects an already-applied edit: go back, fix it, re-run char count gate 3. If it changes the edit plan: update session file, adjust remaining edits 4. If it's a question: answer it, then continue from current step 5. Never restart a phase — resume from current position

---

Startup

Read `resume_builder/reference/shared_ops.md` — Fresh Session Startup + Session File Derivation. Read `CLAUDE.md` — check Active Sessions and KB Corrections. Read `config.md` — load Provenance Flags, email, FIXED Sections, document preferences. Find and read the session file (use derivation protocol from shared_ops.md).

**Recovery check:**

  • Read session file, check for existing Edit N Status
  • If Edit N Status shows IN_PROGRESS: read .tex, identify which edits are done, resume
  • If no edit in progress: proceed to Phase 1

---

Phase 1: Load Context

Read in this order: 1. **Session file** (`output/<FolderName>/session_<name>.md`) — note: Framing Strategy, Company Context, Bullet Plan, Edit History 2. `resume_builder/reference/resume_reference.md` — char limits, budgets, fixed sections 3. The .tex file being edited 4. Critique file (if provided in `$ARGUMENTS`) 5. JD file (path from session file's JD Info section) 6. Compile current .tex and record baseline page count 7. Run: `python3 resume_builder/helpers/char_count.py -f [resume|cv] [file.tex]`

**Record baseline in session file** under `## Edit [N] Baseline` (scan existing Edit History sections; next N = max existing + 1, or 1 if none):

## Edit [N] Baseline
- Pages: [N]
- Char violations: [list or "none"]
- Orphan violations: [list or "none"]
- White space last page: [N lines]
- Variable bullets: [N]
- Rendered lines: [N]

Progress: "Reading session file — [company], [role type] bundle..." / "Baseline: 2 pages, 0 char violations, 1 orphan..."

---

Phase 2: Diagnose & Plan Edits

Gather change requests from THREE sources: 1. **User instructions** from `$ARGUMENTS` (highest priority) 2. **Critique file** (Tier 1 fixes first, then Tier 2) 3. **Auto-detected issues** from Phase 1 (char violations, orphans, page fill)

Cross-check against **session file framing strategy** — edits must stay consistent with decisions from `/make-resume`.

**For each change, classify:**

  • **MODIFY:** Change text of existing bullet/summary/skills. Budget unchanged.
  • **SWAP:** Replace one bullet with another. Budget unchanged if same variant.
  • **ADD:** Insert new bullet. Budget increases by rendered lines.
  • **REMOVE:** Drop a bullet. Budget decreases.
  • **VARIANT CHANGE:** e.g., 2L → 3L. Budget changes by rendered line delta.
  • **FIXED:** Blocked — show in plan with `[FIXED — cannot edit]` and explain why.

**Budget revalidation (if any change is ADD, REMOVE, SWAP-with-different-variant, or VARIANT CHANGE):** Recalculate total variable bullets and rendered lines. Compare against budget from resume_reference.md. If OVER budget: present overflow and ask user which bullet to drop or shorten. Show: `Budget: [N] bullets ([M] rendered lines) vs target [T]. PASS/FAIL`

If edit targets **cover letter** (not resume/CV): note this — Phase 4 will use CL-specific gates. Load CL .tex path from session file Output Files section.

>>>>>> MANDATORY STOP — DO NOT PROCEED <<<<<<

Present numbered edit plan. Each item shows: what, why, source, classification (MODIFY/ADD/SWAP/FIXED). **You MUST wait for the user's explicit text response before continuing.** Proceeding without confirmation may make unwanted edits that break package consistency.

---

Phase 3: Load Reference Files (only confirmed edits)

Load ONLY what the confirmed edits need:

  • **All edits:** `resume_builder/support/ai_fingerprint_rules.md` — scan for banned words/patterns before and after edits
  • **Bullet expand/rewrite/add:** `resume_builder/experience/` files + matching bundle + `resume_builder/support/achievement_reframing_guide.md`
  • **Summary rewrite:** Bundle (S2 summary guide) + `resume_builder/support/skills_taxonomy.md`
  • **Cover letter edits:** `resume_builder/support/significance_*.md` + `resume_builder/reference/cl_reference.md`
  • **Simple fixes** (orphans, headers, spacing): No extra files needed

---

Phase 4: Execute Edits

Apply edits one section at a time. After each edited section:

1. Run char count gate:

   python3 resume_builder/helpers/char_count.py -f [resume|cv] output/<FolderName>/[file].tex

2. Fix any OVER v

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Ships withclaude-resume-kit

Most AI resume tools work the same way: paste resume + paste JD, get a rewrite. They don't know which of your papers is published vs. under review. They don't know you only ran the simulations, not the experiments.

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Repo: ARPeeketi/claude-resume-kit