Shep Research

Shep Research is an AI Engineering skill for Claude Code, published by shep-ai in shep.

247 stars53 forkson shep-ai/shepAdded 2026/09/02Repository updated 2026/08/28

agent-orchestrationagentic-aiaiai-agentsai-code-generationai-codingai-nativeautomationclaudeclaude-codeclicursordeveloper-toolsdevtoolsgeminigit-worktreesparallel-developmentsdlctypescriptworktrees

Install in seconds

Install Shep Research

Copy Shep Research into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/shep-ai/shep/tree/main/.claude/skills/shep-kit-research ~/.claude/skills/shep-kit-research

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/shep-ai/shep.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: .claude/skills/shep-kit-research/SKILL.md in shep-ai/shep
Installs to: ~/.claude/skills/shep-kit-research
Collection: One of 19 skills cataloged from this repository
Category: AI Engineering — 2631 skills

What Shep Research does

Shep Research analyzes technical approaches, library choices, and architecture decisions for a feature. Use it after a new-feature spec when you need trade-offs, recommendations, and documentation in research.yaml.

Shep Research is cataloged under AI Engineering on DirSkills. Shep Research comes from a repository tagged agent-orchestration, agentic-ai, ai, ai-agents and ai-code-generation.

Documentation

README

Excerpt

Research Technical Approach

Document technical decisions, library evaluations, and architectural choices for a feature.

Full workflow guide: docs/development/spec-driven-workflow.md

Prerequisites

Feature spec exists at specs/NNN-feature-name/spec.yaml (YAML source of truth)
On the feature branch feat/NNN-feature-name

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Shep Research

What else does shep-ai publish alongside Shep Research?
Shep Research is one of 19 skills that DirSkills catalogs from shep-ai/shep, the repository it ships in. Its siblings there include Architecture Reviewer, Commit PR and Cross-Validate Artifacts. Each one is a separate skill with its own page in this directory, installs the same way Shep Research does, and is maintained by shep-ai in that same repository. The rest of the collection is listed on the shep-ai/shep page.
How does Shep Research compare to other AI Engineering skills?
Shep Research ranks #2343 by stars among the 2631 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Shep Research against them. Open each page to compare what they document and how they install.