Measuring and demonstrating DevRel impact through data and analytics
Scanned 9/2/2026
Install to Claude Code
npx -y skills add majiayu000/claude-skill-registry --skill devrel-metrics --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Devrel Metrics?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/majiayu000-devrel-metrics)More formats (shields.io, HTML) on the badges page.
---
name: devrel-metrics
description: Measuring and demonstrating DevRel impact through data and analytics
sasmp_version: "1.4.0"
version: "2.0.0"
updated: "2025-01"
bonded_agent: 07-metrics-analyst
bond_type: PRIMARY_BOND
---
# DevRel Metrics Skill
## Overview
Define, collect, and analyze metrics that demonstrate the value of developer relations activities.
## Core Topics
### Key Metrics Categories
- Awareness metrics (reach, impressions, followers)
- Engagement metrics (comments, shares, participation)
- Acquisition metrics (signups, trials, activations)
- Retention metrics (active users, churn, NPS)
### Data Collection
- Analytics tools (Google Analytics, Mixpanel, Amplitude)
- Community metrics platforms
- Survey and feedback tools
- Attribution and tracking
### Reporting & Dashboards
- Executive reporting frameworks
- Real-time dashboards
- Goal setting (OKRs for DevRel)
- Benchmarking and comparisons
### Demonstrating ROI
- Linking DevRel to revenue
- Qualitative vs quantitative value
- Case studies and success stories
- Budget justification
## Learning Objectives
- Define meaningful DevRel metrics
- Build effective dashboards and reports
- Communicate DevRel value to leadership
- Use data to improve DevRel programs
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
**Complete production-ready guide for Google Gemini embeddings API** This skill provides comprehensive coverage of the `gemini-embedding-001` model for generating text embeddings, including SDK usage, REST API patterns, batch processing, RAG integration with Cloudflare Vectorize, and advanced use cases like semantic search and document clustering. ---
Interview, source-challenge, verify, save, and ADR-gate fuzzy coding requests into Codex-ready implementation specs. Use when a feature, bugfix, refactor, migration, repo-wide change, or architecture task needs user-verified requirements, source-backed decisions, durable architecture decisions, acceptance criteria, validation commands, rollout notes, saved spec/ADR files, and a Codex execution prompt. Do not use when already fully specified or when the user wants direct implementation now.
Use when a repo needs CodeGraph plus ast-grep for Codex MCP setup, exploration, impact analysis, structural search, or safe refactor planning.