NotebookLM Research Assistant
PleasePrompto/notebooklm-skill
Lets Claude Code ask questions of your Google NotebookLM notebooks through browser automation and return answers grounded in your uploaded sources.
A skill your agent uses when turning results into an explicit contribution statement for a Journal of Marketing Research (JMR) manuscript — clearing JMR's dual bar by stating both the…
$ npx skills add franklee16/academic-research-skills --skill jmr-contribution-framing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install franklee16/academic-research-skills jmr-contribution-framing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Awesome-Journal-Skills-main/Journal-of-Marketing-Research-Skills/skills/jmr-contribution-framing .claude/skills/jmr-contribution-framing && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "jmr-contribution-framing" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Journal-of-Marketing-Research-Skills/skills/jmr-contribution-framing into .claude/skills/jmr-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jmr-contribution-framing", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Journal-of-Marketing-Research-Skills/skills/jmr-contribution-framingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add franklee16/academic-research-skills --skill jmr-contribution-framing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install franklee16/academic-research-skills jmr-contribution-framing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Awesome-Journal-Skills-main/Journal-of-Marketing-Research-Skills/skills/jmr-contribution-framing .agents/skills/jmr-contribution-framing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jmr-contribution-framing" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Journal-of-Marketing-Research-Skills/skills/jmr-contribution-framing into .agents/skills/jmr-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jmr-contribution-framing", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add franklee16/academic-research-skills --skill jmr-contribution-framing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install franklee16/academic-research-skills jmr-contribution-framing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Awesome-Journal-Skills-main/Journal-of-Marketing-Research-Skills/skills/jmr-contribution-framing .cursor/skills/jmr-contribution-framing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "jmr-contribution-framing" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Journal-of-Marketing-Research-Skills/skills/jmr-contribution-framing into .cursor/skills/jmr-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jmr-contribution-framing", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/franklee16/academic-research-skills.git --path Awesome-Journal-Skills-main/Journal-of-Marketing-Research-Skills/skills/jmr-contribution-framing--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add franklee16/academic-research-skills --skill jmr-contribution-framing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install franklee16/academic-research-skills jmr-contribution-framing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Awesome-Journal-Skills-main/Journal-of-Marketing-Research-Skills/skills/jmr-contribution-framing .gemini/skills/jmr-contribution-framing && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "jmr-contribution-framing" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Journal-of-Marketing-Research-Skills/skills/jmr-contribution-framing into .gemini/skills/jmr-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jmr-contribution-framing", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install franklee16/academic-research-skills jmr-contribution-framingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add franklee16/academic-research-skills --skill jmr-contribution-framing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Awesome-Journal-Skills-main/Journal-of-Marketing-Research-Skills/skills/jmr-contribution-framing .github/skills/jmr-contribution-framing && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "jmr-contribution-framing" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Journal-of-Marketing-Research-Skills/skills/jmr-contribution-framing into .github/skills/jmr-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jmr-contribution-framing", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add franklee16/academic-research-skills --skill jmr-contribution-framing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install franklee16/academic-research-skills jmr-contribution-framing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Awesome-Journal-Skills-main/Journal-of-Marketing-Research-Skills/skills/jmr-contribution-framing .opencode/skills/jmr-contribution-framing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "jmr-contribution-framing" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Journal-of-Marketing-Research-Skills/skills/jmr-contribution-framing into .opencode/skills/jmr-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jmr-contribution-framing", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
jmr-contribution-framingA skill your agent uses when turning results into an explicit contribution statement for a Journal of Marketing Research (JMR) manuscript — clearing JMR's dual bar by stating both the…
Jmr Contribution Framing is an agent skill from franklee16/academic-research-skills. Use when turning results into an explicit contribution statement for a Journal of Marketing Research (JMR) manuscript — clearing JMR's dual bar by stating both the substantive/theoretical insight and, where relevant, the methodological advance. Frames why marketing researchers should care because the design is credible.
Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Comprehensive collection of Claude Code skills for academic research in economics, finance, and social sciences.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 9a4b2db. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Jmr Contribution Framing loads about 912 tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 385 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 385 words (~912 tokens).
“JMR is the AMA's methods-forward flagship, and it judges papers on two contributions at once. State both, in the introduction and the discussion:”
Just SKILL.md in Awesome-Journal-Skills-main/Journal-of-Marketing-Research-Skills/skills/jmr-contribution-framing of franklee16/academic-research-skills.
Open the folder on GitHubat commit 9a4b2db
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in franklee16/academic-research-skills, which our catalogue first saw on October 7, 2026.
Jmr Contribution Framing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Jmr Contribution Framing this skillfranklee16/academic-research-skills | 223 | 1 repos | ~912 | Automated safety check: Pass | None | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Agent ReachPanniantong/Agent-Reach | 95k | — | ~1.4k | Automated safety check: Pass | MIT |
PleasePrompto/notebooklm-skill
Lets Claude Code ask questions of your Google NotebookLM notebooks through browser automation and return answers grounded in your uploaded sources.
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Panniantong/Agent-Reach
Routes web research and platform lookups across 16 sites, including Twitter, Reddit, YouTube, Bilibili, Xiaohongshu and GitHub, through one command-line tool.
allenpeng0705/EnvoyMesh
Searches the web through the Tavily API with LLM-friendly output: clean structured results, optional AI-written answers, domain filters, news mode, images and raw content.
franklee16/academic-research-skills
End-to-end econometric analysis and economics/management paper-writing workflow.
franklee16/academic-research-skills
Comprehensive workflow for handling journal Revise and Resubmit (R&R) decisions.
franklee16/academic-research-skills
A skill your agent uses when researchers need Chinese academic prose translated into publication-oriented English or English manuscript paragraphs and complete sections polished for SCI, SSCI, or…
franklee16/academic-research-skills
Assess and monitor an ongoing research project's competitor landscape, novelty risk, and method/data opportunities from a proposal, paper, research question, data or method notes, or a suspected…
franklee16/academic-research-skills
Generate or fill in academic grant application forms (project statement, education plan, pathway to impact, references) using draft research material.
franklee16/academic-research-skills
A skill your agent uses when a user needs通用中文参考文献、GB/T 7714-style bibliography entries, Chinese academic reference formatting, or BibTeX completion from Chinese or English literature titles…
A skill your agent uses when turning results into an explicit contribution statement for a Journal of Marketing Research (JMR) manuscript — clearing JMR's dual bar by stating both the…. Jmr Contribution Framing is an agent skill from franklee16/academic-research-skills. Use when turning results into an explicit contribution statement for a Journal of Marketing Research (JMR) manuscript — clearing JMR's dual bar by stating both the substantive/theoretical insight and, where relevant, the methodological advance.
Jmr Contribution Framing fits situations like: the methodological advance.
Run `npx skills add franklee16/academic-research-skills --skill jmr-contribution-framing -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/Journal-of-Marketing-Research-Skills/skills/jmr-contribution-framing in franklee16/academic-research-skills) into .claude/skills/jmr-contribution-framing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add franklee16/academic-research-skills --skill jmr-contribution-framing -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/Journal-of-Marketing-Research-Skills/skills/jmr-contribution-framing in franklee16/academic-research-skills) into .agents/skills/jmr-contribution-framing in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add franklee16/academic-research-skills --skill jmr-contribution-framing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jmr-contribution-framing, .gemini/skills/jmr-contribution-framing, .github/skills/jmr-contribution-framing and .opencode/skills/jmr-contribution-framing in your project.
SKILL.md names no scripts, command-line tools or credentials: Jmr Contribution Framing is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
No licence was found for Jmr Contribution Framing or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 912 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Jmr Contribution Framing: NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars), Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars) and Nature Paper Card (Yuan1z0825/nature-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
franklee16 (a GitHub user) maintains it in franklee16/academic-research-skills, which has 223 GitHub stars. The repository holds 1,617 skills in this directory. The repository was last updated on September 18, 2026.
Source: franklee16/academic-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.