Agent skill

Nbr Qualitative Case

by franklee16 in franklee16/academic-research-skills

A skill your agent uses for qualitative theory-building submitted to 《南开管理评论》 (Nankai Business Review) — multi-case comparison (replication logic, case selection), grounded-theory coding (open /…

No licenceAuto-check passedDatabases

Install Nbr Qualitative Case

skills CLI
$ npx skills add franklee16/academic-research-skills --skill nbr-qualitative-case -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install franklee16/academic-research-skills nbr-qualitative-case --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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/Nankai-Business-Review-Skills/skills/nbr-qualitative-case .claude/skills/nbr-qualitative-case && rm -rf skills-src

Use ~/.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/

Facts

Skill name
nbr-qualitative-case
GitHub stars
223
Used in
1 other repo
Token cost
~412 tokens
SKILL.md length
49 words
Files
1
Skills in repo
1,617
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses for qualitative theory-building submitted to 《南开管理评论》 (Nankai Business Review) — multi-case comparison (replication logic, case selection), grounded-theory coding (open /…

  • Qualitative theory-building submitted to 《南开管理评论》 (Nankai Business Review) — multi-case comparison (replication logic
  • SKILL.md covers 触发时机, 案例选择与逻辑, 扎根编码(开放—主轴—选择) and 理论饱和与可信度, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Case selection)

What it does

Nbr Qualitative Case is an agent skill from franklee16/academic-research-skills. Use for qualitative theory-building submitted to 《南开管理评论》 (Nankai Business Review) — multi-case comparison (replication logic, case selection), grounded-theory coding (open / axial / selective), theoretical saturation, and trustworthiness (data triangulation, member checking, audit trail). Use when the contribution is built inductively from cases or interviews rather than from survey/experiment data.

Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Databases, covering OKRs and executive reporting and Database administration. The repository describes itself as: Comprehensive collection of Claude Code skills for academic research in economics, finance, and social sciences.

When your agent uses it

  • Qualitative theory-building submitted to 《南开管理评论》 (Nankai Business Review) — multi-case comparison (replication logic
  • Case selection)
  • Grounded-theory coding (open / axial / selective)
  • Theoretical saturation

Example prompts

  • “/nbr-qualitative-case”

What it can do on your machine

Read from SKILL.md and the folder at commit 9a4b2db. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Nbr Qualitative Case loads about 412 tokens when it runs. Until then it costs about 106 tokens; SKILL.md has 49 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~106
When it runs · the whole SKILL.md, loaded when a task matches
~412

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.

Safety

Auto-check passed

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.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 49 words (~412 tokens).

name
nbr-qualitative-case

Read the full SKILL.md on GitHub

Files

Just SKILL.md in Awesome-Journal-Skills-main/Nankai-Business-Review-Skills/skills/nbr-qualitative-case of franklee16/academic-research-skills.

Open the folder on GitHubat commit 9a4b2db

Used in 1 other repository

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.

Compare with similar skills

Nbr Qualitative Case 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.

Nbr Qualitative Case compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Nbr Qualitative Case this skillfranklee16/academic-research-skills2231 repos~412Automated safety check: PassNone
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Building Streamlit Dashboardsiusztinpaul/designing-real-world-ai-agents-workshop512—~1.1kAutomated safety check: PassApache-2.0
Advanced Analytics Dashboardsickn33/agentic-awesome-skills47k1 repos~3.3kAutomated safety check: PassMIT
Building Soc Metrics And Kpi Trackingmukul975/Anthropic-Cybersecurity-Skills34k—~2.9kAutomated safety check: PassApache-2.0

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Questions about Nbr Qualitative Case

What does Nbr Qualitative Case do?

A skill your agent uses for qualitative theory-building submitted to 《南开管理评论》 (Nankai Business Review) — multi-case comparison (replication logic, case selection), grounded-theory coding (open /…. Nbr Qualitative Case is an agent skill from franklee16/academic-research-skills. Use for qualitative theory-building submitted to 《南开管理评论》 (Nankai Business Review) — multi-case comparison (replication logic, case selection), grounded-theory coding (open / axial / selective), theoretical saturation, and trustworthiness (data triangulation, member checking, audit trail).

When should I use Nbr Qualitative Case?

Nbr Qualitative Case fits situations like: qualitative theory-building submitted to 《南开管理评论》 (Nankai Business Review) — multi-case comparison (replication logic; case selection); grounded-theory coding (open / axial / selective); theoretical saturation.

How do I install Nbr Qualitative Case in Claude Code?

Run `npx skills add franklee16/academic-research-skills --skill nbr-qualitative-case -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/Nankai-Business-Review-Skills/skills/nbr-qualitative-case in franklee16/academic-research-skills) into .claude/skills/nbr-qualitative-case in your project. Claude Code loads it when a task matches its description.

How do I install Nbr Qualitative Case in Codex?

Run `npx skills add franklee16/academic-research-skills --skill nbr-qualitative-case -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/Nankai-Business-Review-Skills/skills/nbr-qualitative-case in franklee16/academic-research-skills) into .agents/skills/nbr-qualitative-case in your project. Codex loads it when a task matches its description.

Can I use Nbr Qualitative Case in Cursor, Gemini CLI or GitHub Copilot?

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 nbr-qualitative-case -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nbr-qualitative-case, .gemini/skills/nbr-qualitative-case, .github/skills/nbr-qualitative-case and .opencode/skills/nbr-qualitative-case in your project.

What does Nbr Qualitative Case need to run?

SKILL.md names no scripts, command-line tools or credentials: Nbr Qualitative Case is instructions for the agent only.

Does Nbr Qualitative Case access the network?

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.

Is Nbr Qualitative Case safe to install?

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.

What licence does Nbr Qualitative Case use?

No licence was found for Nbr Qualitative Case or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Nbr Qualitative Case use?

About 412 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Nbr Qualitative Case?

Skills that share tags, products or a category with Nbr Qualitative Case: Alternatives (JoelLewis/finance_skills, 206 stars), Roblox Networking (gamedev-skills/awesome-gamedev-agent-skills, 1.4k stars), Building Streamlit Dashboards (iusztinpaul/designing-real-world-ai-agents-workshop, 512 stars) and Advanced Analytics Dashboard (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nbr Qualitative Case?

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.