Dev-Card: A Claude Code Skill That Generates Developer Identity Cards from Git History

Dev-Card is a Claude Code skill that analyzes a git repository and generates a shareable Developer Identity Card. The tool assigns developers one of 11 archetypes based on their git history analysis.
How It Works
The skill runs a Python analyzer that processes git data locally without API calls. It examines four key metrics:
- Commit timing: Hour-of-day and day-of-week distribution
- Language breakdown: Programming languages used in the repository
- Commit message patterns: Ratios of fix/feat/refactor/wip commit types
- Commit size distribution: Distinguishes between sprinter vs. marathon coding styles
The Python analyzer outputs JSON data, which Claude then reads along with an archetypes reference to generate the final card. The result includes a developer archetype name, tagline, and specific metrics about coding patterns.
Example Output
One user's result on their repository showed:
# 🃏 Dev Card: K — The Dawn Deployer > "Ships before standup. Commits at dawn." | Peak Window | 6am – 8am | | Most Active | Monday | | Commit Style | Marathon · avg 417 lines/commit | | Dominant Intent | Feature builder (77%) |
The archetype "The Dawn Deployer" was assigned based on commit timing showing peak activity between 6am-8am, with Monday being the most active day. The commit style was identified as "Marathon" with an average of 417 lines per commit, and 77% of commits were feature-related.
The skill is available as an open-source project on GitHub at https://github.com/likw99/agent-skills.
📖 Read the full source: r/ClaudeAI
👀 See Also

Automated Session State Management for Claude Code Handoff
A GitHub project provides automated hooks to maintain a live session state file (.claude/session-state.md) throughout Claude conversations, addressing autocompact context loss and mid-conversation context degradation. The system uses four bash scripts with jq to track important events and file edits.

TEMM1E v3.0.0 Introduces Swarm Intelligence for AI Agent Coordination
TEMM1E v3.0.0 adds 'Many Tems' swarm intelligence that coordinates AI agent workers through stigmergy signals instead of LLM calls, achieving 5.86x faster performance and 3.4x lower cost on complex tasks with zero coordination tokens.
DuckDB’s Quack Protocol Enables Client-Server with Multiple Concurrent Writers
DuckDB introduces the Quack remote protocol, allowing two DuckDB instances to communicate as client and server, supporting concurrent writers and leveraging HTTP for transport.

Klaw.sh: Kubernetes-Style Orchestration for AI Agents
Klaw.sh provides an orchestration solution for AI agent deployment, modeled on Kubernetes. It simplifies management with clusters, namespaces, and channels, achieving memory reduction by rewriting from Node.js to Go.