Swarma
glitch-rabin/swarma
Agent teams that run growth experiments and build their own playbook.
Decompose a north-star metric into a driver tree — the inputs and sub-inputs that actually move it — so a team knows which levers to pull.
Install Metric Tree Builder
$ npx skills add mohitagw15856/pm-claude-skills --skill metric-tree-builder -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills metric-tree-builder --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/metric-tree-builder .claude/skills/metric-tree-builder && 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 "metric-tree-builder" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/metric-tree-builder into .claude/skills/metric-tree-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metric-tree-builder", 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/mohitagw15856/pm-claude-skills/tree/main/skills/metric-tree-builderType 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 mohitagw15856/pm-claude-skills --skill metric-tree-builder -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills metric-tree-builder --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/metric-tree-builder .agents/skills/metric-tree-builder && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "metric-tree-builder" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/metric-tree-builder into .agents/skills/metric-tree-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metric-tree-builder", 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 mohitagw15856/pm-claude-skills --skill metric-tree-builder -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills metric-tree-builder --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/metric-tree-builder .cursor/skills/metric-tree-builder && 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 "metric-tree-builder" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/metric-tree-builder into .cursor/skills/metric-tree-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metric-tree-builder", 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/mohitagw15856/pm-claude-skills.git --path skills/metric-tree-builder--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 mohitagw15856/pm-claude-skills --skill metric-tree-builder -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills metric-tree-builder --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/metric-tree-builder .gemini/skills/metric-tree-builder && 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 "metric-tree-builder" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/metric-tree-builder into .gemini/skills/metric-tree-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metric-tree-builder", 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 mohitagw15856/pm-claude-skills metric-tree-builderInstalls 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 mohitagw15856/pm-claude-skills --skill metric-tree-builder -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/metric-tree-builder .github/skills/metric-tree-builder && 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 "metric-tree-builder" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/metric-tree-builder into .github/skills/metric-tree-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metric-tree-builder", 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 mohitagw15856/pm-claude-skills --skill metric-tree-builder -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills metric-tree-builder --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/metric-tree-builder .opencode/skills/metric-tree-builder && 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 "metric-tree-builder" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/metric-tree-builder into .opencode/skills/metric-tree-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metric-tree-builder", 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
metric-tree-builder- GitHub stars
- 1.4k
- Token cost
- ~881 tokens
- SKILL.md length
- 422 words
- Files
- 1
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
Decompose a north-star metric into a driver tree — the inputs and sub-inputs that actually move it — so a team knows which levers to pull.
- Works in 5 steps: The decomposition → Relationships → Highest-leverage levers → …
- Asked to build a metric tree
- SKILL.md covers Working from a brief, Required Inputs, Output Format and Quality Checks, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Metric Tree Builder is an agent skill from mohitagw15856/pm-claude-skills. Decompose a north-star metric into a driver tree — the inputs and sub-inputs that actually move it — so a team knows which levers to pull. Use when asked to build a metric tree, break down a north-star metric, map metric drivers, or find the inputs behind an output metric. Produces a hierarchical tree from the top metric down to actionable input metrics, with the relationships, the highest-leverage levers, and what to instrument.
Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Product & Project Management, covering Product metrics. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.
When your agent uses it
- Asked to build a metric tree
- Break down a north-star metric
- Map metric drivers
- Find the inputs behind an output metric
Example prompts
- “/metric-tree-builder”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 1cbf1f0. 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 mermaid).
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
Metric Tree Builder loads about 881 tokens when it runs. Until then it costs about 113 tokens; SKILL.md has 422 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 mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 422 words, ~881 tokens.
Download SKILL.mdSave it as
.claude/skills/metric-tree-builder/SKILL.md (or your agent's skills folder).- name
- metric-tree-builder
- description
- Decompose a north-star metric into a driver tree — the inputs and sub-inputs that actually move it — so a team knows which levers to pull. Use when asked to build a metric tree, break down a north-star metric, map metric drivers, or find the inputs behind an output metric. Produces a hierarchical tree from the top metric down to actionable input metrics, with the relationships, the highest-leverage levers, and what to instrument.
Metric Tree Builder Skill
A north-star metric you can't decompose is a number you can't move. This skill breaks it into the multiplicative/additive drivers beneath it, down to metrics a team can actually act on — and points at the highest-leverage levers.
Working from a brief
Given a top metric and a rough business model, build the full tree anyway, inferring the standard driver structure for that model and marking assumptions. Never stop at one level; push down to input metrics someone owns.
Required Inputs
Ask for (if not already provided):
- The north-star / top metric (e.g. weekly active revenue, MRR, GMV, activated users)
- Business model (subscription, marketplace, ads, transactional, freemium)
- Where the team can act (which teams own which surfaces)
- Current pain (the metric is flat / dropping — optional, focuses the tree)
Output Format
1. The decomposition
Express the top metric as an equation of its drivers, e.g.:
Revenue = New customers × Avg first order + Retained customers × Repeat rate × AOV
Then break each driver down a level or two, until you reach input metrics a team can directly influence (e.g. signup conversion, activation rate, email open→click, time-to-value).
Show it as an indented tree or a table:
| Level | Metric | Driven by | Owner / lever |
|---|---|---|---|
| 0 | North star | — | |
| 1 | Driver | sub-inputs | |
| 2 | Input metric | actions | team |
2. Relationships
Note where drivers are multiplicative (a small % gain compounds) vs additive, and any that trade off against each other.
3. Highest-leverage levers
The 2–3 input metrics where a realistic improvement moves the north star most — and why (sensitivity × how movable it is).
Show full SKILL.md (168 more words)Show less
4. Instrumentation gaps
Which input metrics aren't being measured yet but should be, to make the tree usable.
5. The tree, drawn
Also render the decomposition as a Mermaid flowchart so the structure is visible at a glance (it renders live in the playground and exports as PNG/SVG). North star at the top, drivers below, input metrics as leaves; keep labels short.
flowchart TD
NS[North star] --> D1[Driver A]
NS --> D2[Driver B]
D1 --> I1[Input metric]
D1 --> I2[Input metric]
D2 --> I3[Input metric]Quality Checks
- The top metric is expressed as an actual equation of its drivers
- The tree bottoms out in input metrics a team can act on, not more outputs
- Multiplicative vs additive relationships are noted
- Identifies the highest-leverage levers with reasoning
- Flags metrics that need to be instrumented
Anti-Patterns
- A "tree" that's just a flat list of unrelated KPIs
- Stopping at output metrics no one can directly move
- Ignoring how drivers combine (treating everything as additive)
- No view on which lever actually matters most
Example Trigger Phrases
- "Build a metric tree."
- "Break down a north-star metric."
- "Map metric drivers."
- "Find the inputs behind an output metric."
© mohitagw15856, 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 skills/metric-tree-builder of mohitagw15856/pm-claude-skills.
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
Metric Tree Builder 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 |
|---|---|---|---|---|---|---|
| Metric Tree Builder this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~881 | Automated safety check: Pass | MIT | |
| Swarmaglitch-rabin/swarma | 173 | — | ~4.4k | Automated safety check: Notes | MIT | |
| Prdjuanandresgs/claude-ctrl | 193 | — | ~2.9k | Automated safety check: Pass | None | |
| AI Product Strategy InterviewerPrepLabsAI/InterviewMentor | 112 | — | ~4.5k | Automated safety check: Pass | MIT | |
| Investigate MetricPostHog/posthog | 40k | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| Weekly Creative Reportreal-simple-labs/parker-brain | 102 | — | ~4.7k | Automated safety check: Pass | Custom licence |
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Questions about Metric Tree Builder
What does Metric Tree Builder do?
Decompose a north-star metric into a driver tree — the inputs and sub-inputs that actually move it — so a team knows which levers to pull. Metric Tree Builder is an agent skill from mohitagw15856/pm-claude-skills. Decompose a north-star metric into a driver tree — the inputs and sub-inputs that actually move it — so a team knows which levers to pull.
When should I use Metric Tree Builder?
Metric Tree Builder fits situations like: asked to build a metric tree; break down a north-star metric; map metric drivers; find the inputs behind an output metric.
How do I install Metric Tree Builder in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill metric-tree-builder -a claude-code`. Or copy the skill folder (skills/metric-tree-builder in mohitagw15856/pm-claude-skills) into .claude/skills/metric-tree-builder in your project. Claude Code loads it when a task matches its description.
How do I install Metric Tree Builder in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill metric-tree-builder -a codex`. Or copy the skill folder (skills/metric-tree-builder in mohitagw15856/pm-claude-skills) into .agents/skills/metric-tree-builder in your project. Codex loads it when a task matches its description.
Can I use Metric Tree Builder 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 mohitagw15856/pm-claude-skills --skill metric-tree-builder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/metric-tree-builder, .gemini/skills/metric-tree-builder, .github/skills/metric-tree-builder and .opencode/skills/metric-tree-builder in your project.
What does Metric Tree Builder need to run?
SKILL.md names no scripts, command-line tools or credentials: Metric Tree Builder is instructions for the agent only.
Does Metric Tree Builder 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 Metric Tree Builder 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 Metric Tree Builder use?
Metric Tree Builder 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 Metric Tree Builder use?
About 881 tokens (SKILL.md is roughly 3.5k 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 Metric Tree Builder?
Skills that share tags, products or a category with Metric Tree Builder: Swarma (glitch-rabin/swarma, 173 stars), Prd (juanandresgs/claude-ctrl, 193 stars), AI Product Strategy Interviewer (PrepLabsAI/InterviewMentor, 112 stars) and Investigate Metric (PostHog/posthog, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Metric Tree Builder?
mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.
Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.