Metric Semantic Layer
mohitagw15856/pm-claude-skills
Define a metric in a semantic layer so it means one thing everywhere.
语义指标取数技能，先查治理好的指标语义模型，再按统一口径取指标，避免对物理表猜测. An agent skill from larry-zy/cognida.
MITAuto-check passed
Install Semantic Metric
$ npx skills add larry-zy/cognida --skill semantic-metric -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install larry-zy/cognida semantic-metric --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/larry-zy/cognida.git skills-src && mkdir -p .claude/skills && cp -r skills-src/services/cognida-go/skills/semantic-metric .claude/skills/semantic-metric && 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 "semantic-metric" agent skill from https://github.com/larry-zy/cognida/tree/main/services/cognida-go/skills/semantic-metric into .claude/skills/semantic-metric/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "semantic-metric", 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/larry-zy/cognida/tree/main/services/cognida-go/skills/semantic-metricType 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 larry-zy/cognida --skill semantic-metric -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install larry-zy/cognida semantic-metric --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/larry-zy/cognida.git skills-src && mkdir -p .agents/skills && cp -r skills-src/services/cognida-go/skills/semantic-metric .agents/skills/semantic-metric && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "semantic-metric" agent skill from https://github.com/larry-zy/cognida/tree/main/services/cognida-go/skills/semantic-metric into .agents/skills/semantic-metric/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "semantic-metric", 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 larry-zy/cognida --skill semantic-metric -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install larry-zy/cognida semantic-metric --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/larry-zy/cognida.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/services/cognida-go/skills/semantic-metric .cursor/skills/semantic-metric && 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 "semantic-metric" agent skill from https://github.com/larry-zy/cognida/tree/main/services/cognida-go/skills/semantic-metric into .cursor/skills/semantic-metric/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "semantic-metric", 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/larry-zy/cognida.git --path services/cognida-go/skills/semantic-metric--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 larry-zy/cognida --skill semantic-metric -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install larry-zy/cognida semantic-metric --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/larry-zy/cognida.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/services/cognida-go/skills/semantic-metric .gemini/skills/semantic-metric && 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 "semantic-metric" agent skill from https://github.com/larry-zy/cognida/tree/main/services/cognida-go/skills/semantic-metric into .gemini/skills/semantic-metric/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "semantic-metric", 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 larry-zy/cognida semantic-metricInstalls 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 larry-zy/cognida --skill semantic-metric -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/larry-zy/cognida.git skills-src && mkdir -p .github/skills && cp -r skills-src/services/cognida-go/skills/semantic-metric .github/skills/semantic-metric && 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 "semantic-metric" agent skill from https://github.com/larry-zy/cognida/tree/main/services/cognida-go/skills/semantic-metric into .github/skills/semantic-metric/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "semantic-metric", 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 larry-zy/cognida --skill semantic-metric -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install larry-zy/cognida semantic-metric --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/larry-zy/cognida.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/services/cognida-go/skills/semantic-metric .opencode/skills/semantic-metric && 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 "semantic-metric" agent skill from https://github.com/larry-zy/cognida/tree/main/services/cognida-go/skills/semantic-metric into .opencode/skills/semantic-metric/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "semantic-metric", 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
semantic-metric- GitHub stars
- 182
- Token cost
- ~329 tokens
- SKILL.md length
- 30 words
- Files
- 1
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- MIT
At a glance
语义指标取数技能，先查治理好的指标语义模型，再按统一口径取指标，避免对物理表猜测. An agent skill from larry-zy/cognida.
- SKILL.md covers 何时用 / 何时不用, 标准流程, 工具 and 约束
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Semantic Metric is an agent skill from larry-zy/cognida. 语义指标取数技能，先查治理好的指标语义模型，再按统一口径取指标，避免对物理表猜测。
Its SKILL.md is about 330 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: 不止是能问数据的助手——受治理、可审计、可度量的企业级「数据+知识」Agent 平台. The licence is MIT.
Example prompts
- “/semantic-metric”
What it can do on your machine
Read from SKILL.md and the folder at commit bf76257. 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 (its code samples are json).
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
Semantic Metric loads about 329 tokens when it runs. Until then it costs about 14 tokens; SKILL.md has 30 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from larry-zy/cognida at commit bf76257, republished under its MIT licence (© larry-zy). 30 words, ~329 tokens.
Download SKILL.mdSave it as
.claude/skills/semantic-metric/SKILL.md (or your agent's skills folder).- name
- semantic-metric
- description
- 语义指标取数技能，先查治理好的指标语义模型，再按统一口径取指标，避免对物理表猜测。
- when_to_use
- 当用户问的是有口径的经营指标（如 GMV、营收、客单价、复购率、客户数、转化率）时使用；优先走语义层拿到一致口径，而非直接拼物理表 SQL。
- category
- data
- tags
- semantic-layer, metric, governance, kpi
- version
- 1.0.0
- author
- Cognida Team
语义指标取数
面向「按治理口径取经营指标」的场景：先看有哪些已治理的指标/维度，再用语义名提交结构化取数请求，口径由语义层保证一致。
何时用 / 何时不用
- ✅ 用：问的是指标（GMV、营收、客单价、复购率、客户数、转化率、留存……），需要一致口径、可复用、可对齐报表。
- ❌ 不用：
- 只是查一条明细/清单、没有口径概念 →
text2sql-adhoc - 要整合成多维度报告 →
report-composition（其内部也可调用语义取数）
- 只是查一条明细/清单、没有口径概念 →
标准流程
1. semantic_models 列出受治理的指标/维度目录（含口径、同义词）
↓
2. 对齐术语：把用户口语（“营业额”）映射到语义名（“GMV”）
↓
3. semantic_query 用语义名提交 metrics/dimensions 结构化取数
↓
4. 结果注明口径来源（语义模型名 + 指标口径）工具
semantic_models — 列出指标语义目录
{ "tool": "semantic_models", "parameters": { "model": "" } }model 留空列出全部生效模型；拿到目录后按 name/synonyms 对齐术语。
semantic_query — 结构化取数
{
"tool": "semantic_query",
"parameters": {
"model": "电商销售模型",
"metrics": ["GMV", "订单数"],
"dimensions": ["月份"]
}
}约束
- 一定先
semantic_models确认指标存在且口径匹配，再semantic_query。 - 目标指标不在语义目录里时，回退到
text2sql-adhoc（get_schema + sql_execute）走词法 NL2SQL，并在回答里说明“无治理口径，按物理表推断”。 - 计算型指标（如客单价=GMV/订单数）优先取语义层已定义口径，其次才手工推导并标注公式。
© larry-zy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in services/cognida-go/skills/semantic-metric of larry-zy/cognida.
Open the folder on GitHubat commit bf76257
Compare with similar skills
Semantic Metric 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 |
|---|---|---|---|---|---|---|
| Semantic Metric this skilllarry-zy/cognida | 182 | — | ~329 | Automated safety check: Pass | MIT | |
| Metric Semantic Layermohitagw15856/pm-claude-skills | 1.4k | — | ~956 | Automated safety check: Pass | MIT | |
| North Star Metricphuryn/pm-skills | 27k | — | ~1k | Automated safety check: Pass | MIT | |
| Investigate MetricPostHog/posthog | 40k | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| Product Metrics Dashboard Designphuryn/pm-skills | 27k | — | ~1.3k | Automated safety check: Pass | MIT | |
| CI Metricspytorch/pytorch | 104k | — | ~1.1k | Automated safety check: Pass | Custom licence |
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Product Metrics Dashboard Design
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CI Metrics
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Startup Metrics Framework
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Questions about Semantic Metric
What does Semantic Metric do?
语义指标取数技能，先查治理好的指标语义模型，再按统一口径取指标，避免对物理表猜测. An agent skill from larry-zy/cognida. Semantic Metric is an agent skill from larry-zy/cognida.
How do I install Semantic Metric in Claude Code?
Run `npx skills add larry-zy/cognida --skill semantic-metric -a claude-code`. Or copy the skill folder (services/cognida-go/skills/semantic-metric in larry-zy/cognida) into .claude/skills/semantic-metric in your project. Claude Code loads it when a task matches its description.
How do I install Semantic Metric in Codex?
Run `npx skills add larry-zy/cognida --skill semantic-metric -a codex`. Or copy the skill folder (services/cognida-go/skills/semantic-metric in larry-zy/cognida) into .agents/skills/semantic-metric in your project. Codex loads it when a task matches its description.
Can I use Semantic Metric 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 larry-zy/cognida --skill semantic-metric -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/semantic-metric, .gemini/skills/semantic-metric, .github/skills/semantic-metric and .opencode/skills/semantic-metric in your project.
What does Semantic Metric need to run?
SKILL.md names no scripts, command-line tools or credentials: Semantic Metric is instructions for the agent only.
Does Semantic Metric 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 Semantic Metric 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 Semantic Metric use?
Semantic Metric is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Semantic Metric use?
About 329 tokens (SKILL.md is roughly 1.3k 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 Semantic Metric?
Skills that share tags, products or a category with Semantic Metric: Metric Semantic Layer (mohitagw15856/pm-claude-skills, 1.4k stars), North Star Metric (phuryn/pm-skills, 27k stars), Investigate Metric (PostHog/posthog, 40k stars) and Product Metrics Dashboard Design (phuryn/pm-skills, 27k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Semantic Metric?
larry-zy (a GitHub user) maintains it in larry-zy/cognida, which has 182 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on August 31, 2026.
Source: larry-zy/cognida on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.