xixu-me/awesome-persona-distill-skills

Curated list of Agent Skills centered on people, relationships, commemorative scenes, and methodological perspectives

View on GitHub ↗Jump to charts ↓Open shareable report →

xixu-me/awesome-persona-distill-skills has 4.5k+ stars and 500+ forks on GitHub, is written in JavaScript, and was last pushed on Oct 18, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 44 minutes ago
Type:Curated List / Learning ResourceCategory(s):MCP Servers, Agent Skills & PromptsAI Agents & LLM Apps
Added to GitGenius on October 7th, 2026
Created on April 6th, 2026
Open Issues & Pull Requests: 3 (+0)
GitHub issues: Enabled
Number of forks: 514
Total Stargazers: 4,703 (+0)
Total Subscribers: 19 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.2 hours
Mean response time: 2.4 days
90th percentile: 9.0 hours
Tracked items: 27

Maintainer activity

1 person did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 18, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 3
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 88 days
Stale 30+ days: 3
Stale 90+ days: 2

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • approved (26)

Most active issues this week

Sign in to see which issues are moving.
Sign in

Detailed Description

Awesome Persona Distill Skills is a curated list of Agent Skills centered on people, relationships, commemorative scenes, and methodological perspectives.

The project addresses the need to organize and discover skills designed for AI agents that capture and emulate human personas, communication styles, decision-making frameworks, and interaction patterns. It defines persona distillation as the extraction of expressive style, decision frameworks, and interaction methods from conversations, works, materials, or digital traces, without claiming to fully reconstruct real individuals. The approach works as a categorized directory organized by repository name for ease of retrieval and maintenance, with sections covering self-distillation and meta-tools, workplace and academic relationships, intimate relationships and family memory, public figures and methodological perspectives, and specialized spiritual themes.

Developers considering this resource should understand it functions as a discovery and reference tool rather than a software library to integrate directly. It suits teams building or exploring AI agent systems that need to incorporate persona-based skills, or researchers studying how to distill and represent human communication patterns in agent form. The project explicitly notes that list ordering reflects organizational convenience rather than quality ranking or recommendation priority, helping users understand the structure is designed for maintenance rather than endorsement hierarchy.

Maintainers respond to issues and pull requests within hours, indicating active engagement with the community. Work in the issue tracker centers on approved items, suggesting a structured curation process where submissions undergo review before inclusion.