Skills for Real Engineers. Straight from my .agents directory.
amj-contribution-framing
Agent skill frombrycewang-stanford/Awesome-Journal-Skills
Use when turning results into an explicit theoretical contribution for an Academy of Management Journal (AMJ) manuscript — the "what new theory do we learn?" statement and the discussion section. Frames the contribution and implications; it does not build the original theory (amj-theory-development) or run the analysis (amj-data-analysis).
How to install amj-contribution-framing
npx skills add brycewang-stanford/Awesome-Journal-Skills# or add only this skill to Claude Code: copy the folder
Academy-of-Management-Journal-Skills/skills/amj-contribution-framing/
# into
~/.claude/skills/amj-contribution-framing/ (all projects)
.claude/skills/amj-contribution-framing/ (one project)
1# Contribution Framing & Discussion (amj-contribution-framing)23## When to trigger45- Results are in but the "so what for theory" is vague or missing6- The discussion restates findings instead of advancing the theory7- A reviewer says the contribution is "incremental," "descriptive," or "unclear"8- You can describe what you found but not what the field now knows that it did not before9- The practical-implications paragraph is generic ("managers should pay attention to X")1011## The contribution question AMJ asks1213AMJ evaluates every paper on **three criteria**: a strong empirical contribution, a meaningful **theoretical** contribution, and **practical relevance**. The empirical contribution must be paired with a theoretical one: *what do we now understand about the theory that we did not before?* — and the discussion must also speak to why it matters for management practice. A clear, defensible theoretical answer is essential; strong results with no theoretical advance read as a technical report, not an AMJ paper. AMJ's *From the Editors* tradition frames this as the "so what?" and "who cares?" tests.1415## Types of theoretical contribution (claim the right one)1617| Contribution type | What it does |18|------------------------------|--------------------------------------------------------------------|19| Reveal a new mechanism | Explains *why* an established effect occurs |20…
Excerpt shown under the repository's MIT license.
More skills in Awesome-Journal-Skills
Similar skill repositories
Public repository for Agent Skills
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
Production-grade engineering skills for AI coding agents.
The 1st Collaborative AI Design Agent Workspace. Local-first and open source. Create motion, prototypes, websites, apps, dashboards, presentations, images, and videos with your team and AI agents. Share work, exchange feedback, and iterate together in one workspace.
Turn any idea, plan, or codebase into a beautiful interactive diagram. An agent skill for Claude Code, Codex, and more.
