# davidondrej/skills

access to david ondrej's personal agent skills

Repository: https://github.com/davidondrej/skills
Canonical: https://ross.abutalabs.com/products/davidondrej-skills
Language: Python
License: MIT
License Family: permissive
Last push: 2026-08-23T18:27:28+00:00

## Health v2 (maintenance only)
Score: 58/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 5
- inputs: {"age_days": 70, "days_push": 10, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3764, forks 547 (observed 2026-08-28T04:08:17.941549+00:00)

## What it is
A collection of reusable Agent Skills for AI coding, research, and workflow agents, each packaged as a SKILL.md instruction file. It provides practical building blocks for tasks like agent orchestration, web research, documentation, and ops setup.

## Use cases
- find reusable skills for my AI coding agent
- orchestrate and delegate tasks across multiple AI agents
- write and publish my own agent skills
- research topics from the web and YouTube with an agent
- turn meeting transcripts into clear documentation
- set up and secure my dev machine with an agent

## When to choose
- you use AI agents (Claude, Cursor, etc.) that support SKILL.md-style skills
- you want curated, ready-made workflows for coding, research, and ops agents
- you want a reference for authoring your own agent skills

## When to avoid
- you need a runtime library or API rather than instruction files
- your agent platform doesn't support loading skill/context files
- you need production-grade, tested software rather than personal workflow prompts

## Facets
- artifact type: library
- maturity: active
- function: agent-framework, prompt-engineering, workflow-automation, developer-tools
- domain: artificial-intelligence, developer-tools
- platform: python, cli, cross-platform
- tags: agent-skills, skill-authoring, ai-coding-agents, reusable-workflows, skmd, ai-agents, automation

## Member repositories
- davidondrej/skills (main) score 58

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:17.941549+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:28:36.994439+00:00, confidence not recorded.
  - readme: https://github.com/davidondrej/skills (fetched 2026-08-28T04:08:17.941549+00:00, sha a6fb21488acc)
- Data as of 2026-08-30T08:39:29.467469+00:00.