Explainer Formats
koolamusic/claudefiles
A skill your agent uses when asked to explain a topic, codebase, process, or document in a specific output format — plain language or Simplified Technical English (STE, in the style of ASD-STE100…
Generate evidence-based Chinese delivery-review reports from the installed Candao AGE connector.
Install Candao Review Expert Analysis Prod
$ npx skills add infometa/workbuddyskills --skill candao-review-expert-analysis-prod -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills candao-review-expert-analysis-prod --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/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/candao-age/skills/candao-review-expert-analysis-prod .claude/skills/candao-review-expert-analysis-prod && 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 "candao-review-expert-analysis-prod" agent skill from https://github.com/infometa/workbuddyskills/tree/main/connectors/candao-age/skills/candao-review-expert-analysis-prod into .claude/skills/candao-review-expert-analysis-prod/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "candao-review-expert-analysis-prod", 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/infometa/workbuddyskills/tree/main/connectors/candao-age/skills/candao-review-expert-analysis-prodType 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 infometa/workbuddyskills --skill candao-review-expert-analysis-prod -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills candao-review-expert-analysis-prod --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/connectors/candao-age/skills/candao-review-expert-analysis-prod .agents/skills/candao-review-expert-analysis-prod && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "candao-review-expert-analysis-prod" agent skill from https://github.com/infometa/workbuddyskills/tree/main/connectors/candao-age/skills/candao-review-expert-analysis-prod into .agents/skills/candao-review-expert-analysis-prod/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "candao-review-expert-analysis-prod", 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 infometa/workbuddyskills --skill candao-review-expert-analysis-prod -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills candao-review-expert-analysis-prod --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/connectors/candao-age/skills/candao-review-expert-analysis-prod .cursor/skills/candao-review-expert-analysis-prod && 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 "candao-review-expert-analysis-prod" agent skill from https://github.com/infometa/workbuddyskills/tree/main/connectors/candao-age/skills/candao-review-expert-analysis-prod into .cursor/skills/candao-review-expert-analysis-prod/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "candao-review-expert-analysis-prod", 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/infometa/workbuddyskills.git --path connectors/candao-age/skills/candao-review-expert-analysis-prod--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 infometa/workbuddyskills --skill candao-review-expert-analysis-prod -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills candao-review-expert-analysis-prod --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/connectors/candao-age/skills/candao-review-expert-analysis-prod .gemini/skills/candao-review-expert-analysis-prod && 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 "candao-review-expert-analysis-prod" agent skill from https://github.com/infometa/workbuddyskills/tree/main/connectors/candao-age/skills/candao-review-expert-analysis-prod into .gemini/skills/candao-review-expert-analysis-prod/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "candao-review-expert-analysis-prod", 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 infometa/workbuddyskills candao-review-expert-analysis-prodInstalls 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 infometa/workbuddyskills --skill candao-review-expert-analysis-prod -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/connectors/candao-age/skills/candao-review-expert-analysis-prod .github/skills/candao-review-expert-analysis-prod && 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 "candao-review-expert-analysis-prod" agent skill from https://github.com/infometa/workbuddyskills/tree/main/connectors/candao-age/skills/candao-review-expert-analysis-prod into .github/skills/candao-review-expert-analysis-prod/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "candao-review-expert-analysis-prod", 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 infometa/workbuddyskills --skill candao-review-expert-analysis-prod -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install infometa/workbuddyskills candao-review-expert-analysis-prod --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/connectors/candao-age/skills/candao-review-expert-analysis-prod .opencode/skills/candao-review-expert-analysis-prod && 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 "candao-review-expert-analysis-prod" agent skill from https://github.com/infometa/workbuddyskills/tree/main/connectors/candao-age/skills/candao-review-expert-analysis-prod into .opencode/skills/candao-review-expert-analysis-prod/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "candao-review-expert-analysis-prod", 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.
Facts
- Skill name
candao-review-expert-analysis-prod- GitHub stars
- 348
- Token cost
- ~1.8k tokens
- SKILL.md length
- 366 words
- Files
- 9 (incl. scripts, references)
- Skills in repo
- 218
- Repo updated
- First seen
- Licence
- None found
At a glance
Generate evidence-based Chinese delivery-review reports from the installed Candao AGE connector.
- Works in 4 steps: 获取失败判定（先于一切，命中即终止）：调用工具后，先校验返回是否可用；只要命中以下… → available=false：原样说明… → hasData=false：说明所选范围暂无评价数据，停止分析，不编造报告。 → …
- Broad requests such as 评价日报、周报、月报、整体评价或评价分析报告
- SKILL.md covers 查询, 结果处理, 报告内容速览（生成器产出） and 数据诚实边界（新版 schema）, plus 1 more section
- Runs Python scripts from its folder; calls python
What it does
Candao Review Expert Analysis Prod is an agent skill from infometa/workbuddyskills. Generate evidence-based Chinese delivery-review reports from the installed Candao AGE connector. The only data source is getreviewexpertanalysisdata. Use for broad requests such as 评价日报、周报、月报、整体评价或评价分析报告. Generate a plain-language summary and a self-contained interactive HTML chart report; do not use for a single metric, ranking, tag-only question, a few review samples, or a complete paginated list.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `references/data-contract.md`, `references/interactive-report-guide.md` and `references/mcp-tool-get_review_expert_analysis_data.md`).
It sits in Writing & Content, covering HTML artifacts and Plain language and style rules. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.
When your agent uses it
- Broad requests such as 评价日报、周报、月报、整体评价或评价分析报告
- A single metric
- Tag-only question
- A few review samples
Example prompts
- “/candao-review-expert-analysis-prod”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 获取失败判定（先于一切，命中即终止）：调用工具后，先校验返回是否可用；只要命中以下任一情形，即判定为数据获取失败，立即终止整个流程——不得落盘 data.json、不得运行 build_report.py（含底层 gen_report.py）、不得调用…
- available=false：原样说明 notice，停止分析，不用其他评论工具拼凑。
- hasData=false：说明所选范围暂无评价数据，停止分析，不编造报告。
- hasData=true：自动产出两类交付物（用户无需额外说"做总结/做图表"；其中 HTML 报告文件是唯一文件交付物，data.json 为生成临时输入不交付）
What it can do on your machine
Read from SKILL.md and the folder at commit 91b77ea. 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
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
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
Candao Review Expert Analysis Prod loads about 1.8k tokens when it runs, and up to ~36k if it reads all its reference files. Until then it costs about 110 tokens; SKILL.md has 366 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.
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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 366 words (~1,795 tokens).
“调用 get_review_expert_analysis_data 一次取得完整证据包，再自动向用户产出两部分：① 中文文案总结（讲人话的总结，由 LLM 基于工具 JSON 生成）；② 自包含、可交互的 HTML 图表报告（由 scripts/gen_report.py 生成，LLM 不手写 HTML）。不要串联其他工具重复取数，也不要调用旧 Dify 专家工具。”
- name
- candao-review-expert-analysis-prod
Files
SKILL.md and 8 other files (scripts, references) in connectors/candao-age/skills/candao-review-expert-analysis-prod of infometa/workbuddyskills.
- SKILL.md
- references/data-contract.md
- references/interactive-report-guide.md
- references/interactive-report-template.html
- references/mcp-tool-get_review_expert_analysis_data.md
- references/migration-runbook.md
- references/report-guide.md
- scripts/build_report.py
- scripts/gen_report.py
Open the folder on GitHubat commit 91b77ea
Compare with similar skills
Candao Review Expert Analysis Prod 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 |
|---|---|---|---|---|---|---|
| Candao Review Expert Analysis Prod this skillinfometa/workbuddyskills | 348 | — | ~1.8k | Automated safety check: Pass | None | |
| Explainer Formatskoolamusic/claudefiles | 130 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Moai Domain HTML Reportmodu-ai/moai-adk | 1.2k | — | ~6.4k | Automated safety check: Notes | Apache-2.0 | |
| No AI Slophuytieu/COG-second-brain | 1.3k | — | ~5.9k | Automated safety check: Pass | MIT | |
| Eli5mblode/agent-skills | 144 | — | ~861 | Automated safety check: Pass | MIT | |
| Eval Suite Plannermicrosoft/eval-guide | 138 | — | ~2.3k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Candao Review Expert Analysis Prod
What does Candao Review Expert Analysis Prod do?
Generate evidence-based Chinese delivery-review reports from the installed Candao AGE connector. Candao Review Expert Analysis Prod is an agent skill from infometa/workbuddyskills. Generate evidence-based Chinese delivery-review reports from the installed Candao AGE connector.
When should I use Candao Review Expert Analysis Prod?
Candao Review Expert Analysis Prod fits situations like: broad requests such as 评价日报、周报、月报、整体评价或评价分析报告; A single metric; tag-only question; A few review samples.
How do I install Candao Review Expert Analysis Prod in Claude Code?
Run `npx skills add infometa/workbuddyskills --skill candao-review-expert-analysis-prod -a claude-code`. Or copy the skill folder (connectors/candao-age/skills/candao-review-expert-analysis-prod in infometa/workbuddyskills) into .claude/skills/candao-review-expert-analysis-prod in your project. Claude Code loads it when a task matches its description.
How do I install Candao Review Expert Analysis Prod in Codex?
Run `npx skills add infometa/workbuddyskills --skill candao-review-expert-analysis-prod -a codex`. Or copy the skill folder (connectors/candao-age/skills/candao-review-expert-analysis-prod in infometa/workbuddyskills) into .agents/skills/candao-review-expert-analysis-prod in your project. Codex loads it when a task matches its description.
Can I use Candao Review Expert Analysis Prod 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 infometa/workbuddyskills --skill candao-review-expert-analysis-prod -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/candao-review-expert-analysis-prod, .gemini/skills/candao-review-expert-analysis-prod, .github/skills/candao-review-expert-analysis-prod and .opencode/skills/candao-review-expert-analysis-prod in your project.
What does Candao Review Expert Analysis Prod need to run?
Going by SKILL.md and its folder, Candao Review Expert Analysis Prod needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Candao Review Expert Analysis Prod 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 Candao Review Expert Analysis Prod 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Candao Review Expert Analysis Prod use?
No licence was found for Candao Review Expert Analysis Prod or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Candao Review Expert Analysis Prod use?
About 1.8k tokens (SKILL.md is roughly 7.2k 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 34k tokens, read only when the agent opens those files.
What are the alternatives to Candao Review Expert Analysis Prod?
Skills that share tags, products or a category with Candao Review Expert Analysis Prod: Explainer Formats (koolamusic/claudefiles, 130 stars), Moai Domain HTML Report (modu-ai/moai-adk, 1.2k stars), No AI Slop (huytieu/COG-second-brain, 1.3k stars) and Eli5 (mblode/agent-skills, 144 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Candao Review Expert Analysis Prod?
infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 348 GitHub stars. The repository holds 218 skills in this directory. The repository was last updated on October 9, 2026.
Source: infometa/workbuddyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.