Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/malue-ai-job-application-optimizer
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/job-application-optimizer
What's inside
- Skill name
job-application-optimizer- Description
- Full-cycle job application assistant. Analyze job descriptions, optimize resumes, generate cover letters, prepare interview questions, and run mock interviews.
- License
- MIT
- Instructions
- 64 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# 求职申请优化 全流程求职辅助：分析职位描述、优化简历、生成求职信、准备面试问题、模拟面试。 ## 使用场景 - 用户说「帮我分析这个职位」「优化我的简历」「帮我准备面试」 - 用户要投递简历，需要针对职位描述调整 - 用户即将面试，需要准备常见问题和模拟练习 ## 执行方式 直接使用 LLM 能力完成，无需额外工具。 ### 1. JD 分析 分析职位描述，提取关键信息： - **核心要求**：必备技能、经验年限、学历 - **加分项**：优先但非必须的技能 - **隐含要求**：从描述语气和措辞推断的团队文化、工作风格 - **关键词**：ATS（简历筛选系统）可能匹配的关键词 ### 2. 简历优化 根据 JD 分析结果，优化简历： - **关键词匹配**：确保简历包含 JD 中的核心关键词 - **经验重排**：将最相关的经验放在最前面 - **量化成果**：将模糊描述改为具体数据（「提升了效率」→「效率提升 30%」） - **删减无关内容**：去掉与目标职位无关的经验 ### 3. 求职信生成 根据 JD 和简历，生成针对性求职信： - 开头抓住注意力（不要「我看到贵公司招聘…」） - 用 1-2 个具体案例展示匹配度 - 结尾表达热情但不谄媚 ### 4. 面试准备 生成可能的面试问题及参考回答： - **行为面试题**：STAR 法则回答模板 - **专业题**：基于 JD 要求的技术/业务问题 - **反问环节**：给面试官的高质量提问 ### 5. 模拟面试 以面试官角色进行模拟面试： - 逐个提问，等用户回答 - 给出即时反馈（亮点和改进建议） - 模拟完后给出总结评分 ## 输出规范 - JD 分析用表格展示，一目了然 - 简历修改用对比格式（原文 → 优化后） - 面试问题按难度分级 - 模拟面试保持自然对话节奏，不要一次性输出所有问题
From malue-ai/dazee-small, MIT.
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Signals
- Stars
- 37
- Forks
- 2
- Open issues
- 3
- Last commit (this folder)
- Feb 12, 2026 (8 months ago)
- Last release
- Feb 26, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/malue-ai/dazee-small
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.496score
code-sandbox
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Secure sandboxed code execution for AI-generated scripts.
SkillDFreshness: D★ 37Claude Code +9 - 0.496score
content-reformatter
malue-ai
Reformat content for different platforms (WeChat, Zhihu, Xiaohongshu, Twitter, email).
SkillDFreshness: D★ 37Claude Code +9 - 0.496score
app-scanner
malue-ai
Discover installed applications on macOS and recommend the best app for user tasks.
SkillDFreshness: D★ 37Claude Code +9 - 0.496score
batch-file-converter
malue-ai
Batch convert files between formats - images (HEIC/PNG/JPG/WebP), documents (Markdown/HTML), and more using Python and system tools.
SkillDFreshness: D★ 37Claude Code +9 - 0.496score
competitive-intel
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Monitor competitor websites, products, and social media for updates.
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cross-app-workflow
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Chain multiple local apps and skills into complex multi-step workflows.
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Done for you
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Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
job-application-optimizer skill. Agent Mart. https://agentmart.dev/skills/malue-ai-job-application-optimizer (last updated 2026-10-24)