Planning With Files
jarrodwatts/claude-code-config
Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage.
Structured Chinese Chenggu (“bone weight”) fortune analysis for 称骨算命 / 袁天罡称骨 tasks.
$ npx skills add shizhilya/yuan --skill chenggu-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install shizhilya/yuan chenggu-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/shizhilya/yuan.git skills-src && mkdir -p .claude/skills && cp -r skills-src/references/chenggu .claude/skills/chenggu-analysis && rm -rf skills-srcUse ~/.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/
Install the "chenggu-analysis" agent skill from https://github.com/shizhilya/yuan/tree/main/references/chenggu into .claude/skills/chenggu-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chenggu-analysis", 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.
$skill-installer install https://github.com/shizhilya/yuan/tree/main/references/chengguType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add shizhilya/yuan --skill chenggu-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install shizhilya/yuan chenggu-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shizhilya/yuan.git skills-src && mkdir -p .agents/skills && cp -r skills-src/references/chenggu .agents/skills/chenggu-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "chenggu-analysis" agent skill from https://github.com/shizhilya/yuan/tree/main/references/chenggu into .agents/skills/chenggu-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chenggu-analysis", 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 shizhilya/yuan --skill chenggu-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install shizhilya/yuan chenggu-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shizhilya/yuan.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/references/chenggu .cursor/skills/chenggu-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "chenggu-analysis" agent skill from https://github.com/shizhilya/yuan/tree/main/references/chenggu into .cursor/skills/chenggu-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chenggu-analysis", 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.
$ gemini skills install https://github.com/shizhilya/yuan.git --path references/chenggu--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add shizhilya/yuan --skill chenggu-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install shizhilya/yuan chenggu-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shizhilya/yuan.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/references/chenggu .gemini/skills/chenggu-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "chenggu-analysis" agent skill from https://github.com/shizhilya/yuan/tree/main/references/chenggu into .gemini/skills/chenggu-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chenggu-analysis", 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 shizhilya/yuan chenggu-analysisInstalls 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 shizhilya/yuan --skill chenggu-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/shizhilya/yuan.git skills-src && mkdir -p .github/skills && cp -r skills-src/references/chenggu .github/skills/chenggu-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "chenggu-analysis" agent skill from https://github.com/shizhilya/yuan/tree/main/references/chenggu into .github/skills/chenggu-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chenggu-analysis", 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 shizhilya/yuan --skill chenggu-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install shizhilya/yuan chenggu-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shizhilya/yuan.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/references/chenggu .opencode/skills/chenggu-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "chenggu-analysis" agent skill from https://github.com/shizhilya/yuan/tree/main/references/chenggu into .opencode/skills/chenggu-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chenggu-analysis", 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.
chenggu-analysisStructured Chinese Chenggu (“bone weight”) fortune analysis for 称骨算命 / 袁天罡称骨 tasks.
Chenggu Analysis is an agent skill from shizhilya/yuan. Structured Chinese Chenggu (“bone weight”) fortune analysis for 称骨算命 / 袁天罡称骨 tasks. Use when the user wants a deterministic lookup + structured output pipeline from birth datetime or normalized lunar components.
Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including reference files and assets (for example `AGENTS.md`, `agents/openai.yaml` and `assets/input.schema.json`).
It sits in AI & LLM Engineering, covering Structured output and tool calling. The repository describes itself as: Yuan (元) — a unified destiny-reading skill for Codex, Claude Code, and Agent Skills runtimes. One input surface, six methods (BaZi / Cheng Gu / Numerology / Western / Vedic / Zi…
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit c417ae7. 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.
Chenggu Analysis loads about 663 tokens when it runs, and up to ~21k if it reads all its reference files. Until then it costs about 57 tokens; SKILL.md has 168 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 168 words (~663 tokens).
SKILL.md and 11 other files (references, assets) in references/chenggu of shizhilya/yuan.
Open the folder on GitHubat commit c417ae7
Chenggu 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Chenggu Analysis this skillshizhilya/yuan | 201 | — | ~663 | Automated safety check: Pass | None | |
| Planning With Filesjarrodwatts/claude-code-config | 1.1k | 5 repos | ~967 | Automated safety check: Pass | None | |
| Tool Use Data Synthesissunny-glow/Auto-BenchMax | 1.3k | — | ~3.3k | Automated safety check: Pass | None | |
| Agent Harness ConstructionKartikLabhshetwar/mind-mentor | 148 | 6 repos | ~500 | Automated safety check: Pass | Apache-2.0 | |
| Prompt Engineering Patternswshobson/agents | 40k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Model Benchmarkstheopenco/llmgateway | 1.7k | — | ~1.1k | Automated safety check: Notes | Custom licence |
jarrodwatts/claude-code-config
Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage.
sunny-glow/Auto-BenchMax
Synthesize training data for ANY tool-use / agentic benchmark, in ANY repo.
KartikLabhshetwar/mind-mentor
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
wshobson/agents
Reference for designing and tuning production LLM prompts: few-shot examples, chain-of-thought, structured outputs, templates and system prompts.
theopenco/llmgateway
Run and report repository model or provider-mapping benchmarks.
mastra-ai/mastra
Universal quality bar and final audit rubric for any agent system prompt.
shizhilya/yuan
Perform structured Ziwei Dou Shu (紫微斗数 / Zi Wei Dou Shu) system design, chart interpretation, and implementation planning.
shizhilya/yuan
Compute and interpret a Western tropical natal chart (birth chart / natal chart / 本命盘 / 星盘) from birth datetime and location.
shizhilya/yuan
使用传统吠陀占星(Vedic astrology)流程“星盘 → Nakshatra → Vimshottari Dasha”分析出生信息,输出只含“业力”和“阶段”的结构化 JSON。Use when a user asks for Vedic astrology, Nakshatra, Janma Nakshatra, Dasha, Vimshottari, karmic themes…
shizhilya/yuan
A skill your agent uses when the user asks for Yuan, 元, Great Origin, 玄学, 算命, 命理, 八字, 称骨, 紫微斗数, 数字命理, western astrology, Vedic astrology, or a combined destiny reading.
shizhilya/yuan
Compute symbolic numerology from a person's name and birthdate using deterministic mappings only.
Categories
Structured Chinese Chenggu (“bone weight”) fortune analysis for 称骨算命 / 袁天罡称骨 tasks. Chenggu Analysis is an agent skill from shizhilya/yuan. Structured Chinese Chenggu (“bone weight”) fortune analysis for 称骨算命 / 袁天罡称骨 tasks.
Chenggu Analysis fits situations like: the user wants a deterministic lookup + structured output pipeline from birth datetime; normalized lunar components.
Run `npx skills add shizhilya/yuan --skill chenggu-analysis -a claude-code`. Or copy the skill folder (references/chenggu in shizhilya/yuan) into .claude/skills/chenggu-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add shizhilya/yuan --skill chenggu-analysis -a codex`. Or copy the skill folder (references/chenggu in shizhilya/yuan) into .agents/skills/chenggu-analysis 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 shizhilya/yuan --skill chenggu-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/chenggu-analysis, .gemini/skills/chenggu-analysis, .github/skills/chenggu-analysis and .opencode/skills/chenggu-analysis in your project.
SKILL.md names no scripts, command-line tools or credentials: Chenggu Analysis 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.
No licence was found for Chenggu Analysis or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 663 tokens (SKILL.md is roughly 2.7k 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 21k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Chenggu Analysis: Planning With Files (jarrodwatts/claude-code-config, 1.1k stars), Tool Use Data Synthesis (sunny-glow/Auto-BenchMax, 1.3k stars), Agent Harness Construction (KartikLabhshetwar/mind-mentor, 148 stars) and Prompt Engineering Patterns (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
shizhilya (a GitHub user) maintains it in shizhilya/yuan, which has 201 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on April 27, 2026.
Source: shizhilya/yuan on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.