Offer Negotiation
reactive-resume/reactive-resume
Evaluates and negotiates job offers. An agent skill from reactive-resume/reactive-resume.
Build a reusable career-evidence bank, match it to a job description (JD), select the best installed resume skill, and deliver an application-ready resume.
$ npx skills add Elowwwen/resume-evidence-workflow --skill resume-evidence-workflow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Elowwwen/resume-evidence-workflow resume-evidence-workflow --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "resume-evidence-workflow" agent skill from https://github.com/Elowwwen/resume-evidence-workflow/tree/main into .claude/skills/resume-evidence-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resume-evidence-workflow", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Elowwwen/resume-evidence-workflow --skill resume-evidence-workflow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Elowwwen/resume-evidence-workflow resume-evidence-workflow --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "resume-evidence-workflow" agent skill from https://github.com/Elowwwen/resume-evidence-workflow/tree/main into .agents/skills/resume-evidence-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resume-evidence-workflow", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Elowwwen/resume-evidence-workflow --skill resume-evidence-workflow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Elowwwen/resume-evidence-workflow resume-evidence-workflow --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "resume-evidence-workflow" agent skill from https://github.com/Elowwwen/resume-evidence-workflow/tree/main into .cursor/skills/resume-evidence-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resume-evidence-workflow", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Elowwwen/resume-evidence-workflow --skill resume-evidence-workflow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Elowwwen/resume-evidence-workflow resume-evidence-workflow --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "resume-evidence-workflow" agent skill from https://github.com/Elowwwen/resume-evidence-workflow/tree/main into .gemini/skills/resume-evidence-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resume-evidence-workflow", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Elowwwen/resume-evidence-workflow resume-evidence-workflowInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Elowwwen/resume-evidence-workflow --skill resume-evidence-workflow -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "resume-evidence-workflow" agent skill from https://github.com/Elowwwen/resume-evidence-workflow/tree/main into .github/skills/resume-evidence-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resume-evidence-workflow", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Elowwwen/resume-evidence-workflow --skill resume-evidence-workflow -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Elowwwen/resume-evidence-workflow resume-evidence-workflow --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "resume-evidence-workflow" agent skill from https://github.com/Elowwwen/resume-evidence-workflow/tree/main into .opencode/skills/resume-evidence-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resume-evidence-workflow", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
resume-evidence-workflowBuild a reusable career-evidence bank, match it to a job description (JD), select the best installed resume skill, and deliver an application-ready resume.
Resume Evidence Workflow is an agent skill from Elowwwen/resume-evidence-workflow. Build a reusable career-evidence bank, match it to a job description (JD), select the best installed resume skill, and deliver an application-ready resume. Use for career deep-dives, evidence-backed resume tailoring, or choosing among resume skills for a specific market, role, and language. Accept typed, dictated, transcribed, and audio-derived narratives. Do not use merely to format a finished resume or answer one isolated interview question.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 24 other files, including reference files and assets (for example `README.md`, `agents/openai.yaml` and `references/application-ready-resume.md`).
It sits in Business, Finance & HR, covering Resume and CV writing, Recruiting and HR and Interview preparation. The repository describes itself as: 一套以经历为基础的 AI 简历工作流,用于经历深挖、JD 匹配、简历改写,并覆盖可辅助面试的经历过程。 The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit c06d98d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Resume Evidence Workflow loads about 2.4k tokens when it runs, and up to ~16k if it reads all its reference files. Until then it costs about 118 tokens; SKILL.md has 1,204 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from Elowwwen/resume-evidence-workflow at commit c06d98d, republished under its MIT licence (© Elowwwen). 1,204 words, ~2,423 tokens.
.claude/skills/resume-evidence-workflow/SKILL.md (or your agent's skills folder). This skill also uses 21 other files; get the full folder from GitHub.Run only the stage the user currently needs. Resume from existing files instead of restarting completed work. The full path is:
When no job description (JD) is available, complete the evidence stage and preserve it for later tailoring. Do not imply that the complete product ends there.
The evidence bank preserves what the user supplied and confirmed. The application resume may use a presentation choice explicitly requested by the user without rewriting the underlying evidence record.
Do not proactively add information that the user neither supplied nor requested. When the user explicitly asks for a different presentation of dates, titles, responsibilities, results, metrics, or other content, treat that request as the user's decision and pass it through to the selected resume skill. If a choice has a material downstream explanation risk, mention that risk once and continue without moralizing or requiring another confirmation. Read evidence and user agency when the evidence record and resume presentation differ.
Never place a real user's identifying facts in public documentation, demonstrations, screenshots, tests, or case libraries. Use wholly fictional identities, organizations, dates, metrics, and stories.
Inspect supplied resumes, profiles, portfolios, notes, transcripts, and existing evidence files before asking questions. Accept document-led and narrative-led entry. If speech or transcription is involved, read voice-input.md.
When a resume is supplied for the first time, read resume-workspace.md and offer to preserve a reusable 基础简历.md and 简历版式档案.md beside the evidence bank. After these files exist, treat them as the default resume source for later job-description (JD) tailoring. Do not ask the user to upload or reparse the same PDF for every job description (JD). Re-import only when the user says the source resume changed, requests a different design, or the saved files are missing or materially incomplete.
At the start of an experience, give a non-binding estimate of the likely core questions and name the main directions. Let one complete answer resolve several themes. Use clear natural language rather than resume or interview jargon; preserve professional terms the user already uses accurately.
Use three passes:
After a substantial answer, briefly show only the neutral information that would be added or changed in the evidence bank, using slightly professional but not fully optimized resume language. This lets the user correct the record without rereading the file. Stop when added detail would be repetitive, trivial, unrecoverable, or unlikely to affect future use.
When creating or changing the bank, read evidence-schema.md. For substantial multi-project work, also read project-logic-and-interview-evidence.md. Use behavioral-question-coverage.md only as a lightweight event-discovery lens when process evidence is likely; do not turn this workflow into interview preparation.
Keep the job description (JD) visible through the rewrite. Extract its business objective, must-haves, preferred signals, role family, seniority, market, language, ATS terms, and likely evidence standard.
Before requesting a resume, look for the reusable files defined in resume-workspace.md. Use 基础简历.md for current selection and wording, 简历版式档案.md for layout, and the evidence bank for deeper or newly relevant facts. A PDF is a calibration source, not a recurring prerequisite.
Before rewriting, show a requirement-to-evidence matrix distinguishing direct, adjacent, weak, and absent evidence. Explain intended emphasis, compression, movement, and gaps. Do not rewrite first and rationalize the match afterward.
Read jd-and-skill-routing.md. Use installed skill descriptions to shortlist plausible candidates, then read only the complete SKILL.md files of the best two or three. Select one primary content-rewrite skill and, only if needed, one separate artifact/rendering skill.
If no suitable skill is installed, offer either a conservative direct rewrite using application-ready-resume.md, or a read-only search for up to three relevant public skills. Do not install or execute third-party code without the user's choice and required permission.
Before deleting or materially merging an experience, project, overview, bullet, education item, or user-supplied section, show the proposal and obtain approval. Lack of job-description relevance is a reason to recommend removal, not authorization to remove it.
Before drafting, ask whether the user wants self-positioning/professional summary, self-evaluation, or an intended position, and whether the resume is dedicated to one job description (JD) or reused across roles.
Read resume-section-structure.md before arranging sections. Determine sections from the candidate's actual career stage and relationship types. Formal employment, internships, and non-employment experience must remain distinguishable; section names may adapt to the job description (JD) without obscuring or upgrading the relationship type.
Give the selected skill the job description (JD), matching matrix, relevant evidence, required retained content, and the user's explicit presentation instructions. Let that skill determine the writing method. Then read application-ready-resume.md for workflow and artifact validation. If HTML is selected, additionally read editable-html-output.md and use assets/editable-resume-base.html. A static HTML page is not an acceptable substitute for the editable artifact. Include the template’s description-only copy panel for application forms: one experience body per block, excluding employer, role, dates and other metadata; see the HTML reference for markup and validation.
Before drafting repeated experience angles from scratch, read reusable resume content. Reuse a verified expression only when its evidence boundary and target angle still fit the current job description (JD); tailor it rather than copying mechanically.
If the reusable workspace already contains 基础简历.html, copy that master and patch only the content blocks and approved section changes. Do not rewrite its HTML shell, CSS, toolbar, or print script for each job description (JD). Use the generic asset only when no compatible master exists.
During job-description matching and rewriting, promptly record genuinely new evidence, corrections, newer metric snapshots, later project developments, or changed status. Check for an existing equivalent record first. Tell the user concisely what neutral fact will be added or changed so they can stop, merge, or correct the update.
Do not automatically overwrite 基础简历.md with every tailored version. Update it only when the user adopts a change as a new general default. Updating evidence does not automatically change the base resume; updating the base resume does not replace more precise evidence.
After the user accepts the final resume, make at most one incremental reuse-library update pass. Tell the user which reusable module was added, changed, or left unchanged. Do not spend a separate generation pass when nothing materially reusable changed. Read reusable resume content for duplicate, replacement, and notification boundaries.
Do not route into mock interviews or generate interview packages as part of this workflow. The evidence bank can nevertheless preserve compact examples of decisions, collaboration, difficulty, and retrospective learning that the user may reuse elsewhere.
© Elowwwen, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 21 other files (references, assets) in the repository root of Elowwwen/resume-evidence-workflow.
Open the folder on GitHubat commit c06d98d
Resume Evidence Workflow next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Resume Evidence Workflow this skillElowwwen/resume-evidence-workflow | 166 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Offer Negotiationreactive-resume/reactive-resume | 44k | — | ~10k | Automated safety check: Pass | MIT | |
| LLM Intern Skillwanyichen06/LLMInternSkill | 326 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Resume Tailorreactive-resume/reactive-resume | 44k | — | ~8.3k | Automated safety check: Pass | MIT | |
| Offer Toolkit Skillyanliudesign/offer-toolkit-skill | 520 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Resume Critiquelow-hands/MyCareer | 108 | — | ~872 | Automated safety check: Pass | MIT |
reactive-resume/reactive-resume
Evaluates and negotiates job offers. An agent skill from reactive-resume/reactive-resume.
wanyichen06/LLMInternSkill
A skill your agent uses when polishing, diagnosing, tailoring, or exporting resumes for LLM, RAG, Agent, Agentic RL, post-training, pretraining, AIGC, search/ranking, multimodal, AI backend, or LLM…
reactive-resume/reactive-resume
Tailors one resume to one specific job posting. An agent skill from reactive-resume/reactive-resume.
yanliudesign/offer-toolkit-skill
求职工具包。把「找岗位 → 签 offer」拆成六个独立子 skill:⓪ Job Hunt 批量发现岗位,① Job Description 解码具体 JD,② Resume 定向简历,③ BQ 准备行为面试,④ Offer Compare 对比多份 offer,⑤ Salary Negotiation 谈 package。任何求职相关请求(找工作、该不该投、改简历、准备面试、选…
low-hands/MyCareer
Critique one resume version as a document for the role it is aimed at, without a job description.
OneWave-AI/claude-skills
Optimize job applications by tailoring resumes to job postings, generating customized cover letters, and preparing role-specific interview questions.
Categories
Build a reusable career-evidence bank, match it to a job description (JD), select the best installed resume skill, and deliver an application-ready resume. Resume Evidence Workflow is an agent skill from Elowwwen/resume-evidence-workflow. Build a reusable career-evidence bank, match it to a job description (JD), select the best installed resume skill, and deliver an application-ready resume.
Resume Evidence Workflow fits situations like: career deep-dives; evidence-backed resume tailoring; choosing among resume skills for a specific market.
Run `npx skills add Elowwwen/resume-evidence-workflow --skill resume-evidence-workflow -a claude-code`. Or copy the skill folder (the Elowwwen/resume-evidence-workflow repository) into .claude/skills/resume-evidence-workflow in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Elowwwen/resume-evidence-workflow --skill resume-evidence-workflow -a codex`. Or copy the skill folder (the Elowwwen/resume-evidence-workflow repository) into .agents/skills/resume-evidence-workflow in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Elowwwen/resume-evidence-workflow --skill resume-evidence-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/resume-evidence-workflow, .gemini/skills/resume-evidence-workflow, .github/skills/resume-evidence-workflow and .opencode/skills/resume-evidence-workflow in your project.
SKILL.md names no scripts, command-line tools or credentials: Resume Evidence Workflow is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Resume Evidence Workflow is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.4k tokens (SKILL.md is roughly 9.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 14k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Resume Evidence Workflow: Offer Negotiation (reactive-resume/reactive-resume, 44k stars), LLM Intern Skill (wanyichen06/LLMInternSkill, 326 stars), Resume Tailor (reactive-resume/reactive-resume, 44k stars) and Offer Toolkit Skill (yanliudesign/offer-toolkit-skill, 520 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Elowwwen (a GitHub user) maintains it in Elowwwen/resume-evidence-workflow, which has 166 GitHub stars. The repository was last updated on September 29, 2026.
Source: Elowwwen/resume-evidence-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.