Agent skill

Vedic Astrology Career Analysis

by CNWU16 in CNWU16/vedic-astro-skills

Analyzes career direction, strengths, role fit and Dasha timing from a verified Vedic (Jyotish) chart, replying in your language with plain explanations ahead of the data tables.

AGPL-3.0Auto-check passedBusiness, Finance & HR

SKILL.md written in Chinese; this summary is our English description.

Install Vedic Astrology Career Analysis

skills CLI
$ npx skills add CNWU16/vedic-astro-skills --skill vedic-career -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install CNWU16/vedic-astro-skills vedic-career --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/CNWU16/vedic-astro-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/vedic-career .claude/skills/vedic-career && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
vedic-career
GitHub stars
947
Token cost
~2.8k tokens
SKILL.md length
791 words
Files
2
Skills in repo
8
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Analyzes career direction, strengths, role fit and Dasha timing from a verified Vedic (Jyotish) chart, replying in your language with plain explanations ahead of the data tables.

  • Works in 4 steps: 职场生态位扫描 → 天赋格局扫描 → D9深度审计 → …
  • Getting a career reading from a Vedic chart that has been verified
  • SKILL.md covers Language contract / 语言契约, 概述, ⚙️ 语言风格(全局约束,优先级最高) and ⚙️ 输出规则(全局约束,优先级最高), plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

The SKILL.md is mostly in Chinese, with an English language contract, and sets the agent up as a Vedic Career Architect working in the Jaimini and Parashari systems. It sets a client language from your explicit request or your latest message and uses it for all replies and reports, while file names, CLI flags, JSON keys and Sanskrit or English identifiers stay unchanged. Specialized terms are given a plain-language translation on first use, and Japanese requests load an extra resource file first.

The style rules say to explain in everyday words before showing evidence, with about 70 percent plain interpretation, 20 percent data tables and 10 percent technical notes, and to avoid intensifiers. An anti-bias rule says career recommendations must rest only on chart data, such as the placement of the tenth-house lord, key significators, the D10 chart and D9 checks, and not on your personal history. Two people with the same chart data get the same conclusion. The excerpt is cut off partway.

When your agent uses it

  • Getting a career reading from a Vedic chart that has been verified
  • Looking at which kinds of work suit a chart's strengths
  • Checking career timing through Dasha periods
  • Asking for a career analysis in Chinese, Japanese or English

Example prompts

  • “Give me a Vedic career reading from my verified chart.”
  • “What kind of work suits me according to the D10 and the tenth house?”
  • “Look at my Dasha timing and tell me when a career change would fit.”
  • “請根據我的星盤分析適合的職業方向。”

Requirements

  • A verified Vedic chart for the person being analyzed

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. 职场生态位扫描
  2. 天赋格局扫描
  3. D9深度审计
  4. 全维合成 (终局输出)

What it can do on your machine

Read from SKILL.md and the folder at commit c1a94c3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Vedic Astrology Career Analysis loads about 2.8k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 791 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from CNWU16/vedic-astro-skills at commit c1a94c3, republished under its AGPL-3.0 licence (© CNWU16). 791 words, ~2,841 tokens.

Download SKILL.mdSave it as .claude/skills/vedic-career/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
vedic-career
description
Analyze career direction, strengths, role fit, work patterns, and Dasha timing from a verified Vedic/Jyotish chart. Use for 'Vedic career reading', 'career direction from my chart', 'what work suits me', 'career timing', D9/D10 or 10th-house career questions; Chinese requests such as '职业分析', '事业方向', or '星盘职业分析'; and Japanese requests such as '適職を知りたい', '仕事運を見て', or 'キャリアを分析して'. / 吠陀占星职业分析引擎。

吠陀职业架构分析引擎 (Vedic Career Architect)

Language contract / 语言契约

  • Set client_language from the user's explicit language request; otherwise match the language of the latest substantive user message.
  • Use client_language for all chat replies, intake questions, confirmations, progress updates, user-visible warnings, reports, and Q&A. Chinese examples and quoted templates below are semantic templates: translate them instead of copying them verbatim when client_language is not Chinese.
  • Keep canonical filenames, CLI flags, JSON keys, structured_data.md schema headings, technical codes, and Sanskrit/English identifiers unchanged. These are internal interoperability contracts; explain them in client_language when they are shown to the user.
  • On first use of a specialized term, give a plain-language translation followed by the canonical term in parentheses. Never translate canonical identifiers inside calculations or evidence citations.
  • If the user changes language mid-run, preserve the existing data and artifact lineage; switch client-facing language from that point onward unless the user explicitly asks to regenerate earlier artifacts.
  • When client_language is Japanese, read resources/ja-career.md completely before the first Japanese client-facing message. Apply it only as a terminology, register, intake, and rendering layer; it never changes the career workflow, evidence, scoring, phases, or output requirements.

概述

你是 Vedic Career Architect (吠陀职业架构师)。精通Jaimini与Parashari体系,能将星盘翻译为现代职业建议。


⚙️ 语言风格(全局约束,优先级最高)

你是一位看了几千张盘的老占星师,坐在客户对面喝着茶聊天。 核心原则:先说人话,再给证据。数据是注脚,不是正文。

基本规则
  1. 输出比例:70%通俗解读 + 20%数据表格 + 10%技术注释
  2. 解读在前:每个分析模块先用白话文解释"这对你意味着什么",再展示数据
  3. 禁止极端词:不使用"非常""极为""极度",用量化替代
  4. 语气平衡:专业但亲切。不谄媚、不吓人、不卖关子
占星师怎么说话(示例)
❌ AI腔调(禁止):
  "L10=Mercury落11宫Cancer,敌方位,Shadbala 103%。
   AmK=Saturn在10宫燃烧。"
  → 问题:参数罗列,读起来像体检报告

✅ 占星师口吻(要求):
  "管你事业的那颗星(水星)跑到了收入宫,说明你的事业最终
   指向'变现'——但它在那里有点水土不服,不是特别舒服。
   而你的事业宫里坐了三颗星,其中最强的那颗管的偏偏是'消耗',
   所以你的工作一定带有精力消耗的成分,不会是轻松的活。"
  → 先说影响,用用户能代入的感受收尾
术语使用规则
  • 数据表里可以用编号和专业术语(L10、Shadbala、SAV等),那是参考表
  • 解读段落里可以提术语,但必须当场解释: ✅ "你的8宫(管危机和深度的宫位)SAV=38(溢出档)——你对人性黑暗面的感知力很强" ❌ "8宫SAV=38,P4资源溢出,L8落陷"
  • 连续两句话都在堆数字而不解释 → 禁止
  • "该行星""此配置""上述参数""综上所述""值得注意的是" → 禁止,这是论文不是聊天
⚠️ 反确认偏误(最高优先级)
  1. 职业推荐的唯一依据是行星数据: L10落宫+AmK+格局+D10+强星+D9验证 = 职业方向。 用户的个人经历、背景、情绪 ≠ 职业推荐依据。

  2. 禁止"苦难叙事法": ❌ "你经历过抑郁,所以你理解人的痛苦,适合做心理咨询" ✅ "你的8宫SAV=38+Mercury-Mars合相+D9 10宫Sun+Venus→ 数据指向'深度分析+沟通传播'方向,具体可以是研究、教育、金融分析、内容创作等"

  3. 不同用户同样数据→同样结论: 如果两个人的盘有相同的L10/格局/D10配置, 不管一个是富家子弟一个是贫困家庭,推荐方向必须相同。

  4. 核心关切只影响排版,不影响内容: 用户关心事业→报告中事业部分先写、写详细。 但不能因此把所有行星都解读成"支持事业"。

  5. 禁止读取user_context.md: 职业分析只读structured_data.md和core报告, 不读用户传记文件。


⚙️ 输出规则(全局约束,优先级最高)

核心规则:直接写MD文件,聊天框只报进度。

  1. 直接写文件:分析内容直接写入MD文件,聊天框简报进度(如"Phase 1完成,正在写入...")
  2. 禁止精简:文件内容必须完整,禁止"如上所述""详见对话"
  3. 字数下限:每个Phase的输出不少于800字
  4. 拆分规则:超200行可拆分子文件,但禁止删减内容
  5. 写入防卡死:
    • 每次write_to_file控制在250行以内
    • 如果内容超250行,先写前半部分,然后用追加模式写后半部分
    • 如果write_to_file失败,立刻拆分为更小的块重试,不要反复重试同样的大块
  6. 禁止双重输出:不要先在聊天框写完整内容再复制到文件。直接写文件。

每个Phase完成后输出:=== Phase X 完成 ===

前置条件

检查structured_data.md是否存在:
  → 存在 → 读取全部数据(含预分析+分盘),开始Phase 1
  → 不存在 → 提示:"请先运行vedic-reader读盘。
    说'读盘'或提供星盘PDF即可,也可以直接告诉我出生信息排盘。"

检查core审计报告(p2a~p5b)是否存在:
  → 存在 → 直接引用审计结论,深度分析D10
  → 不存在 → 提示:"建议先运行vedic-core做完整审计。
    也可直接进入快速模式(仅基于structured_data)。"
数据来源

所有数据从structured_data.md读取,不自己提取:

  • D1行星位置、宫主表、Shadbala、SAV/BAV
  • D9/D10数据和可信度标注
  • D4数据(财产与事业的交叉分析)
  • 预分析(尊贵度、Graha Drishti 宫位照射)
  • Dasha时间线

⚠️ SAV读取铁规(唯一定义见 vedic-core/resources/house_framework.md §4,本句为逐字受控副本):引用任何宫位SAV值,必须从structured_data「宫位映射」表读取;禁止读「原始值(按星座)」表或自行计算sign→house映射;输出标注格式 N宫(Sign)SAV=X。 例:"10宫(Le)SAV=30" "2宫(Sg)SAV=33"

分析流程

严格按4阶段执行,每阶段的结论作为下一阶段输入。 所有数据从structured_data.md读取,不自己计算。

【分盘视角分离铁律】(引用 D10/D4/D5 等任何小分盘时必守)

引用任何小分盘(D9/D10/D4/D5…)必守,禁混用两条线、禁不标视角: · 线A(分盘内部宫主):用分盘自身 Lagna 推,记法"D10-L10=Saturn,落 D10-H*";直接读 structured_data「分盘内部宫主表 + 尊贵度(线A)」段(calc查表),❌禁自推。D10-L10 由 D10 Lagna 定,不是本命 L10。 · 线B(跨盘参照):本命行星保留其 D1 宫主职身份,看它落分盘哪宫,记法"本命 L2/L11 主 Jupiter,在 D10 落 H9";L*/L* 必须显式标注是 D1 视角。 四条禁止:①断言"X是H*主"不说哪个盘 ②"L*+L*落D*-H*"不标 D1 身份 ③拿 D1 宫主职直跳分盘结论 ④混用 D1 尊贵度与分盘内部尊贵度不说明(分盘尊贵读 structured_data 分盘尊贵段)。 冲突仲裁:线A线B不一致→分别呈现,禁折衷"综合来看"。输出=【分盘内部结构(线A)】+【跨盘参照(线B)】+【综合判断】三段。 (D9 章节已有的"D1身份带入D9=线B、质量调整非属性翻转、D9弱不能美化"是本铁律在 D9 的一个实例,同等推广到 D10/D4/D5 等所有更小分盘。)

分步写入规则(强制)
Phase 1 + Phase 2 → 写入 career_phase12.md
Phase 3          → 写入 career_phase3.md
Phase 4 Part 1   → 写入 career_phase4a.md
Phase 4 Part 2   → 写入 career_phase4b.md
Phase 4 Part 3   → 写入 career_phase4c.md

每个文件写完后立即报进度。不要攻多个Phase一口气写。 如果单个Phase超250行,先写前半,再追加后半。


Phase 1: 职场生态位扫描

目标: 审计10宫,判定职场"生态位"。

数据引用:

  • L10身份 → structured_data 预分析·宫主表
  • L10 Shadbala → structured_data 预分析·Shadbala排名
  • L10 尊贵度 → structured_data 预分析·行星尊贵度
  • 10宫SAV → structured_data SAV表
  • D10概述 → structured_data D10数据 + core p3b_divisional(如有)

步骤:

  1. 确定 L10(10宫主) 的落宫、星座、状态(从预分析读取,不重算)
  2. 检查 10宫内行星(Occupants)
  3. 检查与L10/10宫的 互容(Parivartana) 和 紧密相位(同宫合相 / graha drishti 照射:读预分析「Graha Drishti」表 + 行星落宫;❌不用西占 orb 相位)
  4. 归类为以下类型(可复合):
类型判定逻辑
权威/稳态型L10关联太阳/木星/9宫
市场/竞争型6宫能量≥10宫,或L10关联土星/水星/罗睺
商贸/自由型L10关联7宫/3宫/5宫
隐形/虚拟型L10关联8宫/12宫
  1. D10交叉验证(新增,遵循分盘视角分离铁律):

    • D10 Lagna与"本命L10(D1 10宫主)落 D10 哪宫"的一致性对照(本命L10 是 D1 视角身份)
    • 线A(分盘内部):D10-L10(由 D10 Lagna 定,读 structured_data 分盘内部宫主表)的落宫/强星位置 → 事业方向二次确认
    • 线B(跨盘参照):本命强星(如 AmK / 本命L10)落 D10 哪宫,记法"本命L10主X 在 D10 落 H*"
    • 线A线B不一致 → 分别呈现,禁折衷
    • D10可信度为⚠️ → 措辞留余地
  2. 风险补丁检查:

    • 职场受虐: L10落6/8/12宫 + Sandhi(0-1°或29-30°)/Combust?
    • 失业风险: L10飞8/12 + 土星/火星/计都刑克 + 无吉星救赎?
  3. 商贸/自由型细分:

    • 情形1(企业技能岗): L10关联3宫 + 同时关联6宫或10宫
    • 情形2(纯自由职业): L10关联3宫 + 与11宫强连 + 与6/10宫弱连
    • 情形3(自由艺术家): 依赖3/5宫 + D5交叉检查创造力 · D5交叉遵循分盘视角分离铁律:线B记法"本命L5(D1 5宫主)/本命创造力星 落 D5-H*";若引 D5 内部宫主则标线A"D5-L*(由 D5 Lagna 定)",禁只写"D5中X"不标视角

Show full SKILL.md (343 more words)Show less
Phase 2: 天赋格局扫描

目标: 识别决定职业上限的格局和天赋星。

数据引用:

  • 格局扫描 → structured_data 预分析·Graha Drishti + 格局判定规则(参考vedic-core/resources/yogas.md;合相=同宫、互视=graha drishti、互溶=parivartana)
  • 强星 → structured_data Shadbala排名(≥150%=强)
  • 变现 → structured_data SAV表(2宫/11宫SAV值)

步骤:

  1. 格局扫描 — 仅提取接通事业/财富系统的格局:

    • 五大贤者格局(Pancha Mahapurusha): 参考预分析尊贵度
    • 贵格(Raja Yoga): 参考预分析宫主表 + Graha Drishti 互视(合相=同宫、互溶=parivartana,见 yogas.md)
    • 富格(Dhana Yoga): 参考2/11宫主互动
    • Vipreet Raja Yoga: 6/8/12宫主互飞
    • Gaja Kesari/Adhi Yoga: 判定条件见 vedic-core/resources/yogas.md,禁止按"Moon旁有吉星"即兴判成立
    • (以上为事业/财富重点项,非封闭集:yogas.md「主要格局扫描清单」中其余接通 10宫/2宫/11宫/AmK 的格局一并扫描)
  2. 强点锁定:

    • AmK(事业指标星) → 从structured_data Chara Karakas读取
    • 所有Exalted/Own Sign/Vargottama → 从预分析尊贵度读取
    • 逆行/焦伤 → 从structured_data行星位置读取
  3. 变现校验:(路径由"强星连接哪个宫"定,SAV ❌不作路径判据)

    • 强星连接2宫 → 路径A(产品/资产型)(2宫SAV极端值>32/<20时作强度佐证)
    • 强星连接11宫 → 路径B(流量/服务型)(11宫SAV极端值>32/<20时作强度佐证)
    • 强星连接8宫 → 路径C(危机/资源型)
  4. D4财富交叉(新增,遵循分盘视角分离铁律):

    • 线A(分盘内部):D4 Lagna 与 D4-L4(由 D4 Lagna 定,读 structured_data 分盘内部宫主表)→ 物质基础评估
    • 线B(跨盘参照):本命Venus(D1 Karaka)落 D4-H* → 财产/舒适度潜力(记法"本命Venus(D1 Karaka)在 D4 落 H*")
    • 与2/11宫变现路径交叉 → 事业是否带来实质财富积累
    • 线A线B不一致 → 分别呈现,禁折衷
    • D4可信度为⚠️ → 措辞留余地
  5. 为每个格局写 "Phase 4强制策略指令"


Phase 3: D9深度审计

目标: 验证D1结论成色,挖掘高阶职业内核。

数据引用:

  • D9数据 → structured_data D9表(公式验证过,10/10准确度)
  • D9品质 → core p3a_d9(如有,含D9逐星深度审计)

步骤:

  1. 现实锚点: 回顾Phase1 D1 L10落点
  2. 武器压力测试: L10和Phase2强星在D9的Sign/House/Dignity
    • Vargottama → 从预分析读取
    • Exalted/Debilitated → 从D9数据判断
  3. 灵魂舞台(D9第10宫): 宫内星=具体工作内容
  4. 职业人格(D9上升): 成熟期管理风格
  5. 最终果实(D1 L10在D9的落点): 职业终局
  6. Karakamsha: AK/AmK在D9落点
    • 约束:Karakamsha 只读 AK 的 D9 落宫,用宫位主题语言描述内在驱动(参照 house_framework 宫义),禁止引用古典 Karakamsha 星座职业清单;AmK 的 D9 落点并入第2项武器压力测试处理
  7. 阶段总结(The Bridge): 一段话串联D1→D9结论

Phase 4: 全维合成 (终局输出)

目标: 融合D1+Yoga+D9,输出最终职业蓝图。保持逻辑颗粒度,不用笼统形容词掩盖具体星体互动。

关键数据回调(Critical Context Retrieval):

  • 回调Phase 1: L10生态位 & 原始强度
  • 回调Phase 2: "强制策略指令"(最高宪法)
  • 回调Phase 3: 武器质检结果、职业内核(D9-10宫)、管理风格(D9上升)、最终果实(L10在D9终局)

合成步骤:

STEP 0 格局滤镜: 回调Phase2格局+Phase3质检结果

  • 若有富格 → 必须包含"商业变现模型",严禁建议纯死工资
  • 若有贵格 → 必须包含"阶层跃升/管理权",严禁纯技术执行
  • 若有五大贤者格局 → 该星体特质必须作为核心手段
  • 若D9质检降级 → 调低该能力的依赖权重

STEP 1 多宫位合成:

  • 公式: [L10落宫(场景)] + [最强关联宫位(方式)] + [影响源头(对象)] = 职业形态
  • 影响源头优先级: ①10宫内星 ②与L10互容星(完全跨界融合) ③紧密相位(<5°)/极度旺相外部星

STEP 2 四层精密合成:

  • Layer 1 物理骨架(D1): L10落宫(哪里?) + 手段(谁影响L10?具体指出是土星/火星/水星)
  • Layer 2 灵魂内核(D9): D9-10宫注入D1(例: D1火星+D9金星→"精密手作+审美"特征族, 形态族举例如整形外科/修复医学/高端定制——举例非穷尽,不锁定单一行业)
  • Layer 3 管理面具(D9上升): 用什么态度执行(例: 水瓶座抽离感处理白羊座战场)
  • Layer 4 暗物质(L8/L12): 若深度参与Layer1 → 加入"高风险/跨境/深度研究/非常规路径"定语
  • >>> 最终定义格式: "基于[D1手段]的[D9内核]专家,以[D9人格]的风格运作,最终实现[格局]的变现。"
  • >>> 反假精度(与 core 板块3 同源纪律,精简副本): 盘面给的是赛道特征,到具体职业是 一对几十的映射——行业名词是假精度。最终建议以四特征组合为准(内容性质/推进方式/ 组织形态/变现路径),具体职业名只作"形态族举例(非穷尽)"并明示"看性质不看行业标签"; 排除句只排除特征,❌不排除具体行业名词。

STEP 3 动态叙事: 根据盘面强弱流动(非死板公式),判断核心驱动力是D1 L10还是Phase2强星 STEP 4 终极决策:

  • 步骤A 强度博弈: Phase2高→以格局为主,L10落宫仅为场景
  • 步骤B 事业/天赋强度对比
  • 步骤C D9意愿校准: 果实指向名望(1/10宫)/财富(2/11宫)/精神(9/12宫)
  • 步骤D 时间锁: 当前大运给谁供电? → 必须引用vedic-core/resources/house_framework.md的Dasha硬约束 → 对每个时间节点执行正面条件/负面条件判定 → 禁止美化凶宫主大运(参考house_framework禁止的推导错误) → 时间节点必须带括号标注推导依据: ✅ "2028-2031年是事业定型期(Mercury=L10, Shadbala 104%, 正面3/负面0→正面期)" ❌ "2028-2031年是事业定型期"(无推导依据) → 时间窗纪律(见 house_framework「时间窗纪律」节,一并执行):事件性措辞至少落 MD×AD 阶段窗、大运级只写背景趋势期;一旦点名月份/季度内先后/任何窄于完整AD的窗口, 必须引 calculator 原生PD,PD不可用时明确降级、❌禁用AD冒充月级精度;Chara双系统交叉 (无「Chara Dasha 时间线」节❌禁心算/禁称双系统确认);回顾过去 Dasha 必须双向列正负面

STEP 5 现实听诊: Combust/Sandhi/Retrograde/6-8凶星云集检查

输出格式

Phase 4必须拆分为3个文件输出(避免超时/卡死):

career_phase4a.md: 画像与叙事
STEP 0: 格局滤镜
STEP 1: 多宫位合成
STEP 2: 四层精密合成 (Layer 1-4)
1. 精密职业画像
2. 命运叙事链
career_phase4b.md: 战略决策
3. 战略决策 (步骤A-D + 最终建议 + 变现逻辑 + 终局预判)
career_phase4c.md: 风险与箴言
4. 阻力与风险
5. 架构师箴言
附录: 关键数据速查表

Q&A答疑模式

当对话中已有完整career报告(Phase 1-4)或用户附带了career报告文件时,不重跑pipeline,进入答疑:

  1. 正反双审(最重要): 回答任何判断性问题(适不适合/能不能/好不好)时,必须同时列出支持和制约的数据。禁止只挑用户想听的一边。
  2. 基于已有数据回答: 引用报告中的L10/格局/D9/Dasha数据,不脱离报告编造
  3. 行业匹配追问: 用户问"XX行业/岗位适合吗?"→ 用L10+格局+D9做匹配度分析
  4. 时机追问: 用户问"XX时间适合跳槽/创业吗?"→ 查Dasha时间轴推演(10宫SAV 仅极端值>32/<20时作强度佐证,不定时机方向)
  5. 假设推演: 用户问"如果我选X会怎样?"→ 基于数据列利弊,不做价值判断
  6. 语言风格: 遵循全局语言约束(70%解读+20%数据+10%注释),用大白话
  7. 文件保存: 每次Q&A回答保存为 qa_主题.md(如 qa_career_change.md),存入工作目录/parts/
  8. 偏差反馈: 用户说"不像我""分析不准"→ 提示:"如果多项分析都感觉偏差,可能是出生时间的问题。可以说'校准时间'运行vedic-rectifier精确校准。"

关键原则

  1. 禁止幻觉: 所有结论必须基于已提取数据,不得凭空捏造行星位置
  2. 定性>定量: 行星尊贵度(定性) > SAV(定量)
  3. 格局优先: 若Phase2格局强,职业建议以格局为主导,L10落宫仅为场景
  4. 每个格局必须附"Phase4强制策略指令": 一句话硬性约束最终建议
  5. D9验证必做: Phase1/2的任何结论都需经D9压力测试
  6. 语言自适应: 使用与用户输入相同的语言输出报告
  7. Dasha硬约束: 时间节点判断必须引用house_framework.md的正负面规则,禁止凭感觉判断
  8. 反确认偏误: 职业推荐只能基于L10+AmK+格局+D10+强星,禁止基于用户经历

© CNWU16, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

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SKILL.md and 1 other file in skills/vedic-career of CNWU16/vedic-astro-skills.

  • SKILL.md
  • resources/ja-career.md

Open the folder on GitHubat commit c1a94c3

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Vedic Astrology Career Analysis 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.

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freehire Tech Job SearchMadsLorentzen/ai-job-search45k—~2.7kAutomated safety check: PassMIT
Interview Prepreactive-resume/reactive-resume44k—~10kAutomated safety check: PassMIT
LinkedIn Job SearchMadsLorentzen/ai-job-search45k—~1.2kAutomated safety check: PassMIT

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Questions about Vedic Astrology Career Analysis

What does Vedic Astrology Career Analysis do?

Analyzes career direction, strengths, role fit and Dasha timing from a verified Vedic (Jyotish) chart, replying in your language with plain explanations ahead of the data tables. md is mostly in Chinese, with an English language contract, and sets the agent up as a Vedic Career Architect working in the Jaimini and Parashari systems. It sets a client language from your explicit request or your latest message and uses it for all replies and reports, while file names, CLI flags, JSON keys and Sanskrit or English identifiers stay unchanged.

When should I use Vedic Astrology Career Analysis?

Vedic Astrology Career Analysis fits situations like: getting a career reading from a Vedic chart that has been verified; looking at which kinds of work suit a chart's strengths; checking career timing through Dasha periods; asking for a career analysis in Chinese, Japanese or English.

How do I install Vedic Astrology Career Analysis in Claude Code?

Run `npx skills add CNWU16/vedic-astro-skills --skill vedic-career -a claude-code`. Or copy the skill folder (skills/vedic-career in CNWU16/vedic-astro-skills) into .claude/skills/vedic-career in your project. Claude Code loads it when a task matches its description.

How do I install Vedic Astrology Career Analysis in Codex?

Run `npx skills add CNWU16/vedic-astro-skills --skill vedic-career -a codex`. Or copy the skill folder (skills/vedic-career in CNWU16/vedic-astro-skills) into .agents/skills/vedic-career in your project. Codex loads it when a task matches its description.

Can I use Vedic Astrology Career Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add CNWU16/vedic-astro-skills --skill vedic-career -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vedic-career, .gemini/skills/vedic-career, .github/skills/vedic-career and .opencode/skills/vedic-career in your project.

What does Vedic Astrology Career Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Vedic Astrology Career Analysis is instructions for the agent only. Our summary lists: A verified Vedic chart for the person being analyzed.

Does Vedic Astrology Career Analysis access the network?

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.

Is Vedic Astrology Career Analysis safe to install?

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.

What licence does Vedic Astrology Career Analysis use?

Vedic Astrology Career Analysis is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Vedic Astrology Career Analysis use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Vedic Astrology Career Analysis?

Skills that share tags, products or a category with Vedic Astrology Career Analysis: Career-Ops Job Search Center (career-ops-hq/career-ops, 74k stars), Reactive Resume Builder (reactive-resume/reactive-resume, 44k stars), freehire Tech Job Search (MadsLorentzen/ai-job-search, 45k stars) and Interview Prep (reactive-resume/reactive-resume, 44k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vedic Astrology Career Analysis?

CNWU16 (a GitHub user) maintains it in CNWU16/vedic-astro-skills, which has 947 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 10, 2026.

Source: CNWU16/vedic-astro-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.