Agent skill

Nbr Fit Positioning

by franklee16 in franklee16/academic-research-skills

A skill your agent uses to judge whether a manuscript fits 《南开管理评论》 (Nankai Business Review) before investing in revision, and to re-route off-fit papers — math models to 管理科学学报, macro…

No licenceAuto-check passedMarketing & SEO

Install Nbr Fit Positioning

skills CLI
$ npx skills add franklee16/academic-research-skills --skill nbr-fit-positioning -a claude-code

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

GitHub CLI
$ gh skill install franklee16/academic-research-skills nbr-fit-positioning --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-fit-positioning .claude/skills/nbr-fit-positioning && 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-fit-positioning
GitHub stars
223
Used in
1 other repo
Token cost
~354 tokens
SKILL.md length
51 words
Files
1
Skills in repo
1,617
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses to judge whether a manuscript fits 《南开管理评论》 (Nankai Business Review) before investing in revision, and to re-route off-fit papers — math models to 管理科学学报, macro…

  • Judge whether a manuscript fits 《南开管理评论》 (Nankai Business Review) before investing in revision
  • SKILL.md covers 触发时机, 对口画像(命中越多越对口), 改投对照表 and 自检清单, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • To re-route off-fit papers — math models to 管理科学学报

What it does

Nbr Fit Positioning is an agent skill from franklee16/academic-research-skills. Use to judge whether a manuscript fits 《南开管理评论》 (Nankai Business Review) before investing in revision, and to re-route off-fit papers — math models to 管理科学学报, macro policy-evaluation to 管理世界 / 中国工业经济, capital-market governance to 会计研究 / 金融研究. Use when the topic, method, or framing might be a mismatch for a theory-building management journal.

Its SKILL.md is about 350 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 Marketing & SEO, covering OKRs and executive reporting and Positioning and messaging. 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

  • Judge whether a manuscript fits 《南开管理评论》 (Nankai Business Review) before investing in revision
  • To re-route off-fit papers — math models to 管理科学学报
  • Macro policy-evaluation to 管理世界 / 中国工业经济
  • Capital-market governance to 会计研究 / 金融研究

Example prompts

  • “/nbr-fit-positioning”

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 Fit Positioning loads about 354 tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 51 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~354

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 51 words (~354 tokens).

name
nbr-fit-positioning

Read the full SKILL.md on GitHub

Files

Just SKILL.md in Awesome-Journal-Skills-main/Nankai-Business-Review-Skills/skills/nbr-fit-positioning 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 Fit Positioning 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 Fit Positioning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Nbr Fit Positioning this skillfranklee16/academic-research-skills2231 repos~354Automated safety check: PassNone
Product Marketing Context Globalminhnv0807/ai-business-skills609—~2.1kAutomated safety check: PassMIT
Startup Validatorailabs-393/ai-labs-claude-skills4551 repos~2.8kAutomated safety check: PassMIT
Competitive Analysis BriefNateBJones-Projects/OB14.7k—~1.1kAutomated safety check: PassCustom licence
Analyticsericrisco/rsc-harness190—~2.8kAutomated safety check: PassMIT
Strategy AgentAtmosphere/atmosphere3.8k—~280Automated safety check: PassApache-2.0

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Questions about Nbr Fit Positioning

What does Nbr Fit Positioning do?

A skill your agent uses to judge whether a manuscript fits 《南开管理评论》 (Nankai Business Review) before investing in revision, and to re-route off-fit papers — math models to 管理科学学报, macro…. Nbr Fit Positioning is an agent skill from franklee16/academic-research-skills. Use to judge whether a manuscript fits 《南开管理评论》 (Nankai Business Review) before investing in revision, and to re-route off-fit papers — math models to 管理科学学报, macro policy-evaluation to 管理世界 / 中国工业经济, capital-market governance to 会计研究 / 金融研究.

When should I use Nbr Fit Positioning?

Nbr Fit Positioning fits situations like: judge whether a manuscript fits 《南开管理评论》 (Nankai Business Review) before investing in revision; to re-route off-fit papers — math models to 管理科学学报; macro policy-evaluation to 管理世界 / 中国工业经济; capital-market governance to 会计研究 / 金融研究.

How do I install Nbr Fit Positioning in Claude Code?

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

How do I install Nbr Fit Positioning in Codex?

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

Can I use Nbr Fit Positioning 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-fit-positioning -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-fit-positioning, .gemini/skills/nbr-fit-positioning, .github/skills/nbr-fit-positioning and .opencode/skills/nbr-fit-positioning in your project.

What does Nbr Fit Positioning need to run?

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

Does Nbr Fit Positioning 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 Fit Positioning 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 Fit Positioning use?

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

How many tokens does Nbr Fit Positioning use?

About 354 tokens (SKILL.md is roughly 1.4k 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 Fit Positioning?

Skills that share tags, products or a category with Nbr Fit Positioning: Product Marketing Context Global (minhnv0807/ai-business-skills, 609 stars), Startup Validator (ailabs-393/ai-labs-claude-skills, 455 stars), Competitive Analysis Brief (NateBJones-Projects/OB1, 4.7k stars) and Analytics (ericrisco/rsc-harness, 190 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nbr Fit Positioning?

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.