Which platforms are supported for data extraction?

The skill supports GitHub for PRs, Jira for tickets, Confluence for documentation, Google Drive for files, and Slack for communication patterns.

How does it handle peer identification across different services?

It uses a config/peers.json file to map a person's display name to their specific usernames and IDs across GitHub, Jira, Slack, and email.

Can I use this with my company's specific competency framework?

Yes, you can provide an optional --c2 flag pointing to a competency framework file to map contributions directly to your specific rubric.

Does it only provide raw data metrics?

No, it is narrative-driven. It uses the data to build 'Contribution Narratives' that explain the context, action, and impact of a peer's work.

Peer Feedback & Contribution Extractor

Name: Peer Feedback & Contribution Extractor
Author: jduarte

byjduarte

0•

Collaboration Tools

Automates the gathering and analysis of peer work contributions across GitHub, Jira, Slack, and other platforms to generate narrative-driven performance feedback.

The Peer Work Extract skill streamlines the performance review process by automatically synthesizing a colleague's contributions from multiple professional data sources. By integrating with GitHub, Jira, Confluence, Google Drive, and Slack, it transforms raw activity logs into cohesive narrative case studies that highlight impact and growth. This skill is specifically designed for teams that need to provide evidence-based feedback, map contributions to competency frameworks like Salsify's C2, and generate insightful follow-up questions to bridge observability gaps in the review process.

Key Features

01Narrative-first reporting that prioritizes storytelling and impact over raw statistics

02AI-generated follow-up questions to bridge data gaps and deepen feedback quality

03Automated peer identity resolution using a centralized configuration file

04Optional C2 competency framework mapping with rubric-aligned ratings and evidence

05Multi-source data synthesis from GitHub, Jira, Confluence, Slack, and Google Drive

060 GitHub stars

Use Cases

01Preparing comprehensive peer performance reviews during quarterly or annual assessment cycles

02Gathering evidence of technical leadership and cross-functional impact for promotion packets

03Mapping engineering contributions to specific organizational competency frameworks automatically

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jduarte/claude-code-dotfiles peer-work-extract

For use in Claude.ai and ChatGPT

Download Skill