Kpi Framework
ericrisco/rsc-harness
A skill your agent uses when a team must decide what to measure before building anything — picking one north-star metric, separating leading input drivers from lagging outputs, adding guardrails so…
Builds your north star metric, a metric tree with owned input metrics and guardrails, and a review cadence, as a one-page metrics spec you can paste into a doc.
Install Metrics
$ npx skills add menkesu/awesome-pm-skills --skill metrics -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install menkesu/awesome-pm-skills metrics --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/menkesu/awesome-pm-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/metrics .claude/skills/metrics && 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 "metrics" agent skill from https://github.com/menkesu/awesome-pm-skills/tree/main/skills/metrics into .claude/skills/metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metrics", 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/menkesu/awesome-pm-skills/tree/main/skills/metricsType 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 menkesu/awesome-pm-skills --skill metrics -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install menkesu/awesome-pm-skills metrics --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/menkesu/awesome-pm-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/metrics .agents/skills/metrics && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "metrics" agent skill from https://github.com/menkesu/awesome-pm-skills/tree/main/skills/metrics into .agents/skills/metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metrics", 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 menkesu/awesome-pm-skills --skill metrics -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install menkesu/awesome-pm-skills metrics --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/menkesu/awesome-pm-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/metrics .cursor/skills/metrics && 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 "metrics" agent skill from https://github.com/menkesu/awesome-pm-skills/tree/main/skills/metrics into .cursor/skills/metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metrics", 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/menkesu/awesome-pm-skills.git --path skills/metrics--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 menkesu/awesome-pm-skills --skill metrics -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install menkesu/awesome-pm-skills metrics --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/menkesu/awesome-pm-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/metrics .gemini/skills/metrics && 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 "metrics" agent skill from https://github.com/menkesu/awesome-pm-skills/tree/main/skills/metrics into .gemini/skills/metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metrics", 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 menkesu/awesome-pm-skills metricsInstalls 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 menkesu/awesome-pm-skills --skill metrics -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/menkesu/awesome-pm-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/metrics .github/skills/metrics && 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 "metrics" agent skill from https://github.com/menkesu/awesome-pm-skills/tree/main/skills/metrics into .github/skills/metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metrics", 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 menkesu/awesome-pm-skills --skill metrics -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install menkesu/awesome-pm-skills metrics --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/menkesu/awesome-pm-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/metrics .opencode/skills/metrics && 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 "metrics" agent skill from https://github.com/menkesu/awesome-pm-skills/tree/main/skills/metrics into .opencode/skills/metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metrics", 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
metrics- GitHub stars
- 434
- Token cost
- ~5k tokens
- SKILL.md length
- 2,807 words
- Files
- 4 (incl. references, assets)
- Skills in repo
- 25
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Builds your north star metric, a metric tree with owned input metrics and guardrails, and a review cadence, as a one-page metrics spec you can paste into a doc.
- Works in 3 steps: Diagnose (ask before answering) → Pick the play → Run it
- You ask what should our north star be
- SKILL.md covers When to use, Step 1 - Diagnose (ask before…, Step 2 - Pick the play and Step 3 - Run it, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Metrics is an agent skill from menkesu/awesome-pm-skills. Builds your north star metric, a metric tree with owned input metrics and guardrails, and a review cadence, as a one-page metrics spec you can paste into a doc. Use it when you ask 'what should our north star be', 'which metric should this team goal on', 'our dashboard is a mess', 'how do we measure AI productivity', 'activation metric', 'OKR metrics', 'vanity metrics', or 'metrics review cadence'. Draws on 254 insights from 118 Lenny's Podcast guests incl. Sarah Tavel, Crystal Widjaja and Jessica Lachs.
Its SKILL.md is about 5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files and assets (for example `references/frameworks.md` and `references/quotes.md`).
It sits in Product & Project Management, covering Product metrics, OKRs and executive reporting and Podcasting. The repository describes itself as: Product management workflows grounded in Lenny's Podcast, for Claude Code, Codex, and Cursor.
When your agent uses it
- You ask what should our north star be
- Which metric should this team goal on
- Our dashboard is a mess
- How do we measure AI productivity
Example prompts
- “what should our north star be”
- “which metric should this team goal on”
- “our dashboard is a mess”
- “/metrics”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Diagnose (ask before answering)
- Pick the play
- Run it
What it can do on your machine
Read from SKILL.md and the folder at commit c1b6e2d. 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 markdown).
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
Metrics loads about 5k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 129 tokens; SKILL.md has 2,807 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 2,807 words (~4,981 tokens).
“Turn a fuzzy 'what should we measure' into one north star, a tree of inputs each team can actually move, guardrails against gaming, and a ritual that changes decisions. Built from 254 insights from 118 Lenny's Podcast guests. Lead team…”
- name
- metrics
Files
SKILL.md and 3 other files (references, assets) in skills/metrics of menkesu/awesome-pm-skills.
- SKILL.md
- assets/card.png
- references/frameworks.md
- references/quotes.md
Open the folder on GitHubat commit c1b6e2d
Compare with similar skills
Metrics 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 |
|---|---|---|---|---|---|---|
| Metrics this skillmenkesu/awesome-pm-skills | 434 | — | ~5k | Automated safety check: Pass | Custom licence | |
| Kpi Frameworkericrisco/rsc-harness | 180 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Analytics Productsickn33/agentic-awesome-skills | 47k | 2 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Kpi Tree Builderrevfactory/harness-100 | 1.3k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Algo Social Engagementasgard-ai-platform/skills | 242 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Product Metrics Dashboard Designphuryn/pm-skills | 27k | — | ~1.3k | Automated safety check: Pass | MIT |
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Analytics Product
sickn33/agentic-awesome-skills
Analytics de produto — PostHog, Mixpanel, eventos, funnels, cohorts, retencao, north star metric, OKRs e dashboards de produto.
Kpi Tree Builder
revfactory/harness-100
Methodology for systematically designing KPI trees (metric hierarchy) and defining drill-down structures.
Algo Social Engagement
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Calculate and benchmark social media engagement rates across platforms and variants.
Product Metrics Dashboard Design
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Designs a product metrics dashboard: a North Star and input metrics, a definition table with data sources, chart types and alert thresholds, and a screen layout.
Prd V03 Outcome Definition
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Define measurable success metrics (KPIs) tied to product type during PRD v0.3 Commercial Model.
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Related
Questions about Metrics
What does Metrics do?
Builds your north star metric, a metric tree with owned input metrics and guardrails, and a review cadence, as a one-page metrics spec you can paste into a doc. Metrics is an agent skill from menkesu/awesome-pm-skills. Builds your north star metric, a metric tree with owned input metrics and guardrails, and a review cadence, as a one-page metrics spec you can paste into a doc.
When should I use Metrics?
Metrics fits situations like: you ask what should our north star be; which metric should this team goal on; our dashboard is a mess; how do we measure AI productivity.
How do I install Metrics in Claude Code?
Run `npx skills add menkesu/awesome-pm-skills --skill metrics -a claude-code`. Or copy the skill folder (skills/metrics in menkesu/awesome-pm-skills) into .claude/skills/metrics in your project. Claude Code loads it when a task matches its description.
How do I install Metrics in Codex?
Run `npx skills add menkesu/awesome-pm-skills --skill metrics -a codex`. Or copy the skill folder (skills/metrics in menkesu/awesome-pm-skills) into .agents/skills/metrics in your project. Codex loads it when a task matches its description.
Can I use Metrics 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 menkesu/awesome-pm-skills --skill metrics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/metrics, .gemini/skills/metrics, .github/skills/metrics and .opencode/skills/metrics in your project.
What does Metrics need to run?
SKILL.md names no scripts, command-line tools or credentials: Metrics is instructions for the agent only.
Does Metrics 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 Metrics 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 Metrics use?
Metrics has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Metrics use?
About 5k tokens (SKILL.md is roughly 20k 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 7.8k tokens, read only when the agent opens those files.
What are the alternatives to Metrics?
Skills that share tags, products or a category with Metrics: Kpi Framework (ericrisco/rsc-harness, 180 stars), Analytics Product (sickn33/agentic-awesome-skills, 47k stars), Kpi Tree Builder (revfactory/harness-100, 1.3k stars) and Algo Social Engagement (asgard-ai-platform/skills, 242 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Metrics?
menkesu (a GitHub user) maintains it in menkesu/awesome-pm-skills, which has 434 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 6, 2026.
Source: menkesu/awesome-pm-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.