render-role-skill-radar
将 score-resume-role-fit 生成的多岗位评分 JSON 渲染为 AI 产品、AI 全栈/Agent 工程、FDE 雷达图、响应式 HTML 和中文缺口摘要。用户要求雷达图、可视化比较岗位匹配度、展示优势短板或导出能力画像时使用。
Skill by SuperMikasa
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/supermikasa-render-role-skill-radar
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
Use cases: frontend, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
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
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/render-role-skill-radar
What's inside
- Skill name
render-role-skill-radar- Description
- 将 score-resume-role-fit 生成的多岗位评分 JSON 渲染为 AI 产品、AI 全栈/Agent 工程、FDE 雷达图、响应式 HTML 和中文缺口摘要。用户要求雷达图、可视化比较岗位匹配度、展示优势短板或导出能力画像时使用。
- License
- MIT
- Instructions
- 19 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (4)
- SKILL.md
- openai.yaml · agents/
- radar-contract.md · references/
- render_role_skill_radar.py · scripts/
SKILL.md (first lines)
# Render Role Skill Radar 1. 读取 `resume-role-fit.json`。 2. 运行： ```bash python3 scripts/render_role_skill_radar.py \ --fit <resume-role-fit.json> \ --output-dir <output-dir> ``` 3. 回读 `role-fit-radar.html`、三个岗位 SVG 和 `role-fit-radar.md`。 4. 雷达图外圈代表岗位 Top 能力目标 100；候选人多边形代表简历证据分。 5. 图旁只列优先缺口和建议，不把地点/毕业/签证等约束画进能力轴。 6. 若输入地图为 provisional，在页面顶部显示醒目标识。 视觉口径见 [radar-contract.md](references/radar-contract.md)。
From SuperMikasa/signalfit, MIT.
More from SuperMikasa/signalfit
- 0.526score
score-resume-role-fit
SuperMikasa
读取 Markdown、TXT、PDF 或 DOCX 简历，按最新多岗位能力地图分别计算 AI 产品、AI 全栈/Agent 工程、FDE 匹配度，返回可定位的简历证据、能力缺口、学习动作和独立硬约束清单。用户要求判断简历匹配度、比较适合岗位、找缺失能力或制定补强计划时使用。
SkillBFreshness: BClaude Code +9 - 0.523score
build-role-capability-map
SuperMikasa
从官方 JD 原子信号和已验收真实面经生成 AI 产品、AI 全栈/Agent 工程、FDE 等岗位的独立能力地图、Top 能力和约束清单。用户要求更新岗位能力地图、比较岗位方向、找市场 Top 能力或为简历匹配准备岗位基准时使用。
SkillBFreshness: BClaude Code +9 - 0.516score
run-signalfit-locally
SuperMikasa
在本机读取 Markdown、TXT、PDF 或 DOCX 简历，使用公开 AI 岗位能力基线生成 AI 产品、AI 全栈/Agent 工程和 FDE 的证据匹配分、缺口清单、SVG 与 HTML 雷达图。用户要求通过 OpenCode、Claude Code、Codex 或其他 Coding Agent…
SkillBFreshness: BClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 1
- Last commit (this folder)
- Aug 14, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/SuperMikasa/signalfit
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from SuperMikasa
- 0.526score
score-resume-role-fit
SuperMikasa
读取 Markdown、TXT、PDF 或 DOCX 简历，按最新多岗位能力地图分别计算 AI 产品、AI 全栈/Agent 工程、FDE 匹配度，返回可定位的简历证据、能力缺口、学习动作和独立硬约束清单。用户要求判断简历匹配度、比较适合岗位、找缺失能力或制定补强计划时使用。
SkillBFreshness: BClaude Code +9 - 0.523score
build-role-capability-map
SuperMikasa
从官方 JD 原子信号和已验收真实面经生成 AI 产品、AI 全栈/Agent 工程、FDE 等岗位的独立能力地图、Top 能力和约束清单。用户要求更新岗位能力地图、比较岗位方向、找市场 Top 能力或为简历匹配准备岗位基准时使用。
SkillBFreshness: BClaude Code +9 - 0.516score
run-signalfit-locally
SuperMikasa
在本机读取 Markdown、TXT、PDF 或 DOCX 简历，使用公开 AI 岗位能力基线生成 AI 产品、AI 全栈/Agent 工程和 FDE 的证据匹配分、缺口清单、SVG 与 HTML 雷达图。用户要求通过 OpenCode、Claude Code、Codex 或其他 Coding Agent…
SkillBFreshness: BClaude Code +9
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render-role-skill-radar. Agent Mart. https://agentmart.dev/skills/supermikasa-render-role-skill-radar (last updated 2026-10-24)