Growth Factors Mining

Growth Factors Mining is a Data skill for Claude Code, published by acogood in diffmode_free.

161 stars0 forkson acogood/diffmode_freeAdded 2026/09/08+1% in starsRepository updated 2026/08/10

agentsaibootstrappedclaude-codeclaude-plugincodexdevtoolsfoundersgrowthgrowth-hackingmarketingmarketing-strategyopen-sourcesaasskillsstartupstartup-tools

Install in seconds

Install Growth Factors Mining

Copy Growth Factors Mining into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/acogood/diffmode_free/tree/main/plugin/skills/growth-factors-mining ~/.claude/skills/growth-factors-mining

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/acogood/diffmode_free.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: plugin/skills/growth-factors-mining/SKILL.md in acogood/diffmode_free
Installs to: ~/.claude/skills/growth-factors-mining
Collection: One of 13 skills cataloged from this repository
Category: Data — 812 skills

What Growth Factors Mining does

Growth Factors Mining builds a fresh per-run database of atomic growth mechanisms from public case studies for the Diffmode demand-generation pipeline. It is used when you need transferable growth vectors without reading the proprietary tactics database.

Growth Factors Mining is cataloged under Data on DirSkills. Growth Factors Mining comes from a repository tagged agents, ai, bootstrapped, claude-code and claude-plugin.

Documentation

README

Excerpt

Growth-Factors Mining (per-run LIGHT vector DB)

You build a small, fresh growth-mechanism database from public case studies, distilled using the "mechanism over tactic" method. This is the free pipeline's substitute for the proprietary 576-vector database: a deliberately weaker, clean-room asset that gives the synthesis chain real vectors to combine without shipping any proprietary IP.

⚠️ Clean-room rule (moat-critical — non-negotiable)

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Growth Factors Mining

What else does acogood publish alongside Growth Factors Mining?
Growth Factors Mining is one of 13 skills that DirSkills catalogs from acogood/diffmode_free, the repository it ships in. Its siblings there include Acquisition Tactics Research, Audience JTBD Analysis and Competitor Gaps. Each one is a separate skill with its own page in this directory, installs the same way Growth Factors Mining does, and is maintained by acogood in that same repository. The rest of the collection is listed on the acogood/diffmode_free page.
How does Growth Factors Mining compare to other Data skills?
Growth Factors Mining ranks #764 by stars among the 812 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Growth Factors Mining against them. Open each page to compare what they document and how they install.