resume-kit
01Plugin Claude Code
Plugin marketplace listing 1 plugin: resume-intelligence.
Plugin Claude Code
Plugin marketplace listing 1 plugin: resume-intelligence.
MCP server Claude CodeCodexCursor +2
MCP server "resume-kit" as configured in dcassil/resume-kit. Launched with resume-kit-mcp.
Instructions file CodexOpenCode
AGENTS.md instructions for dcassil/resume-kit, covering agents.md — orchestration conventions for resume-kit, branches, git ownership, work claims and task decomposition.
Plugin Claude Code
Resume Intelligence Toolkit skills: single-responsibility, self-gating flow (resume-workflow guide) — resume/job → JSON, ATS-structure check, keyword match, gap analysis, truth-gated keyword injection + terminology mirroring, truth validation, candidate evidence, version compare/select, and PDF/DOCX export — over the…
Command
Install the resume-kit package that powers this plugin's MCP tools and CLI-backed skills.
Hook
Runs when a session starts on startup, executing check-resume-kit.sh. From dcassil/resume-kit.
Skill Claude CodeCodex
Show "what the ATS sees" for a resume — the detected sections, the extracted entities (name/contact/links, per-role dates → computed years-of-experience, degrees), and the zoned keyword breakdown, exactly as an ATS parser would read them. Read-only: it reports, it never edits the resume. Job-INDEPENDENT (no keyword…
Skill Claude CodeCodex
Check a resume against generic, job-INDEPENDENT best practices — buzzwords, weak/duty openers, missing quantification, bullet quality — and report each finding classified autosuggestible vs needsuserinput. Read-only: it scores and reports, it never edits the resume. Drives the deterministic analyze-best-practices…
Skill Claude CodeCodex
Check and produce ONLY the missing / injectable keyword list between a tailored resume, a proof surface, and a job description — which job keywords are missing from the tailored resume, which can be proved from a distinct master resume and/or confirmed Flow 1 learning-evidence (injectable), and which are not proved by…
Skill Claude CodeCodex
Check resume↔job keyword coverage — the percentage of the job's keywords the resume already covers, plus the matched and missing keyword lists — for a resume against a specific job description. Presents ONLY the keyword slice; no composite / overall ATS score. Honors the project synonym index (aliasfile) so grown…
Skill Claude CodeCodex
Check resume-only structural / parse issues that make an ATS mis-parse, miss, or error on a resume — section completeness plus deterministic structural recommendations (contact info, missing sections, dates, non-ASCII / formatting risks). Resume-ONLY: needs no job and produces NO keyword coverage and NO composite ATS…
Skill Claude CodeCodex
Deterministically compare two resume versions (base vs candidate) against a job description and return a structured diff of their relative strengths. No LLM required.
Skill Claude CodeCodex
Composite resume-intelligence workflow for producing a tailored, fitted, and exported resume from one prepared resume plus one or more jobs. Use when the user wants the complete end-to-end path or needs to understand the repeated use pattern across the four composable flows.
Skill Claude CodeCodex
Render a ResumeDocument to a downloadable PDF or DOCX artifact. Fully deterministic and requires no LLM provider — always works with nollm. Uses ReportLab (PDF) and python-docx (DOCX) inside packages/export; no Chromium or upstream frontend involved.
Skill Claude CodeCodex
Deterministically extract a list of CandidateEvidence records from a resume, optionally seeded with pre-approved claims. No LLM required.
Skill Claude CodeCodex
Run the final job-aware fit and export over a tailored resume, enforce the rendered page hard gate, and do no preparation, job ingest, or tailoring. Best run in a subagent.
Skill Claude CodeCodex
Parse a job and grow terminology learning against an existing prepared-resume learning base. Safe to run repeatedly for multiple jobs, and assumes Flow 1 has run. Best run in a subagent.
Skill Claude CodeCodex
Interactive, truth-gated interview over a job's MISSING requirements. When tailoring finishes and the score is still below par (or a required must-have is uncovered), this skill walks the user through the missing items in the job's own priority order — required → preferred/nice-to-have → remaining unmatched keywords …
Skill Claude CodeCodex
Learn the user's outcome for an in-flight edit suggestion through the record-edit-feedback surface, then refresh preferences. Uses the structured EditFeedbackReasonCode enum plus an optional note, and records a PreferencePair when the outcome implies a preferred-vs-rejected comparison. No LLM required. Best run in a…
Skill Claude CodeCodex
The shared truth-gated growth loop for the project synonym index. When a deterministic ATS/match/gap run reports a job keyword as "missing" that the resume plausibly satisfies under a DIFFERENT surface term, this workflow proposes an alias, runs the truthfulness gate, asks the user to confirm, and ONLY THEN appends a…
Skill Claude CodeCodex
Parse a job posting (pasted text, URL content, or a PDF/DOCX/MD/text file) into the canonical resume-kit JobDescription JSON, with structured requirements and skill keywords. This skill ORCHESTRATES a pipeline: for file inputs, resume-tool extract-text pulls the raw text deterministically (no LLM); pasted text / URL…
Skill Claude CodeCodex
Parse a resume file (PDF, DOCX, Markdown, or plain text) into the canonical resume-kit ResumeDocument JSON, faithfully and losslessly. This skill ORCHESTRATES a deterministic pipeline: resume-tool extract-text pulls the raw text (no LLM), a confined interpretation subagent maps that text into the schema, and…
Skill Claude CodeCodex
Final job-aware fit for a tailored resume: run the deterministic budget-fit capability, present ranked trim/compression candidates, drive decisions through the existing edit-session UX or use --auto-fit, and write the final resume only behind claim, ledger, and export page gates. No fabrication.
Skill Claude CodeCodex
Prepare one resume without needing a job: produce an ATS-ready, no-custom canonical artifact for downstream tailoring, and seed durable full-resume learning from the source resume first so custom and unmapped content remain available as evidence. Best run in a subagent.