Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of recent attention, adoption, and active maintenance.
This collection provides structured guidance for scaling commercial activities, from optimizing onboarding flows to managing deal desks. It translates complex business growth strategies into actionable skill sets for practitioners focused on conversion rates and commercial policy.
Growth marketers and RevOps professionals can use these frameworks to standardize competitive teardowns, prevent churn, and refine channel economics through a systematic approach to business operations.
WHO IT'S FOR
Growth Marketers
optimizing conversion rates and onboarding flows
Revenue Operations Managers
managing deal desks and commercial policies
Customer Success Leads
reducing churn and improving customer retention
Product Strategists
performing competitive teardowns and market analysis
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
Installs: The individual ceo-advisor and cto-advisor skills from the C-Level advisory collection. · Claude Code, Cursor, Codex, Gemini CLI, Copilot, Windsurf, Cline, Aider, Goose
Before you start
Node.js 18 or newer
Run these commands in a terminal. To force a supported target instead of auto-detection, the author documents the optional --to <target> argument; replace <target> with the intended assistant name if you use it.
Actual wins, learnings, and blockers from the past week
Current OKR or goal measurements and targets
One to three priorities for next week
Use the weekly-review skill to draft a concise review of my past week. I will provide my actual wins, learnings, blockers, current goal or OKR progress versus target, and one to three priorities for next week. Ask only the two or three missing questions that would most change the result; if I ask you to proceed anyway, state your assumptions. Organize the result around wins, learnings, blockers, goal progress, and next-week priorities.
Project directory replacing <project-path>, or the relevant project files attached when using Claude.ai
CI/CD platform: GitHub Actions, GitLab CI, Jenkins, or CircleCI
Deployment strategy: rolling, blue-green, canary, or feature-flag
Target cloud and infrastructure-as-code scope
Use the senior-devops skill to inspect the project files I provide and draft a CI/CD pipeline configuration plus a short rollout plan. When the assistant has local filesystem access, I will replace <project-path> with the actual project directory; when using Claude.ai, I will attach the relevant project files instead. Before drafting, confirm the CI/CD platform, deployment strategy, and target cloud or infrastructure scope. Include fail-fast checks, caching, immutable artifacts, promotion gates, health checks, and a rollback approach where relevant.
Dataset path replacing <data-file>, or the dataset attached when using Claude.ai
Expected schema or data contract, if available
Any known freshness or anomaly expectations
Use the senior-data-engineer skill to profile the dataset I provide and give me a compact assessment of schema characteristics, missing or anomalous values, likely data-quality risks, and the next checks worth adding. When the assistant has local filesystem access, I will replace <data-file> with the actual dataset path; when using Claude.ai, I will attach the dataset itself. Ask for the expected schema or data contract if it would materially affect the assessment.
Claude
Codex
Cursor
Gemini CLI
Copilot
Windsurf
Amp
OpenCode
Goose
Cline