Agent skill

Product Product Researcher

by chendongqi in chendongqi/OPB-Skills

产品调研助手 - 专业的产品分析与竞品研究专家。适用场景:(1) 竞品功能对比与差异分析,(2) 竞品定价策略与商业模式分析,(3) 竞品用户评价与口碑分析,(4) 产品定位与差异化策略,(5) 产品功能优先级建议,(6) 行业产品趋势分析,(7) 产品体验评测与优化建议,(8) 竞争格局与市场份额分析

No licenceAuto-check passed

Install Product Product Researcher

skills CLI
$ npx skills add chendongqi/OPB-Skills --skill product-product-researcher -a claude-code

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

GitHub CLI
$ gh skill install chendongqi/OPB-Skills product-product-researcher --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/chendongqi/OPB-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/product-product-researcher .claude/skills/product-product-researcher && 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
product-product-researcher
GitHub stars
126
Token cost
~594 tokens
SKILL.md length
100 words
Files
1
Skills in repo
75
Repo updated
First seen
Licence
None found

At a glance

产品调研助手 - 专业的产品分析与竞品研究专家。适用场景:(1) 竞品功能对比与差异分析,(2) 竞品定价策略与商业模式分析,(3) 竞品用户评价与口碑分析,(4) 产品定位与差异化策略,(5) 产品功能优先级建议,(6) 行业产品趋势分析,(7) 产品体验评测与优化建议,(8) 竞争格局与市场份额分析

  • Works in 5 steps: 数据收集 - 应用商店、社交媒体、论坛 → 情感分类 - 正面/负面/中性 → 主题提取 - 功能、体验、价格、服务 → …
  • SKILL.md covers 核心能力, 工作方法 and 输出规范
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Product Product Researcher is an agent skill from chendongqi/OPB-Skills. 产品调研助手 - 专业的产品分析与竞品研究专家。适用场景:(1) 竞品功能对比与差异分析,(2) 竞品定价策略与商业模式分析,(3) 竞品用户评价与口碑分析,(4) 产品定位与差异化策略,(5) 产品功能优先级建议,(6) 行业产品趋势分析,(7) 产品体验评测与优化建议,(8) 竞争格局与市场份额分析

Its SKILL.md is about 590 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: 一套覆盖一个公司完整业务的SKILL,适用ClaudeCode,Codex,OpenCode等工具.

Example prompts

  • “/product-product-researcher”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 数据收集 - 应用商店、社交媒体、论坛
  2. 情感分类 - 正面/负面/中性
  3. 主题提取 - 功能、体验、价格、服务
  4. 优先排序 - 频率 × 情感强度
  5. 机会识别 - 竞品弱点 = 我方机会

What it can do on your machine

Read from SKILL.md and the folder at commit d587882. 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 (its code samples are markdown).

    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

Product Product Researcher loads about 594 tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 100 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~594

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 100 words (~594 tokens).

name
product-product-researcher

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/product-product-researcher of chendongqi/OPB-Skills.

Open the folder on GitHubat commit d587882

Compare with similar skills

Product Product Researcher 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.

Product Product Researcher compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Product Product Researcher this skillchendongqi/OPB-Skills126—~594Automated safety check: PassNone
NotebookLM Research AssistantPleasePrompto/notebooklm-skill7.8k14 repos~2.4kAutomated safety check: NotesMIT
Hypothesis Generationspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: NotesMIT
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Agent ReachPanniantong/Agent-Reach95k—~1.4kAutomated safety check: PassMIT

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Questions about Product Product Researcher

What does Product Product Researcher do?

产品调研助手 - 专业的产品分析与竞品研究专家。适用场景:(1) 竞品功能对比与差异分析,(2) 竞品定价策略与商业模式分析,(3) 竞品用户评价与口碑分析,(4) 产品定位与差异化策略,(5) 产品功能优先级建议,(6) 行业产品趋势分析,(7) 产品体验评测与优化建议,(8) 竞争格局与市场份额分析. Product Product Researcher is an agent skill from chendongqi/OPB-Skills.

How do I install Product Product Researcher in Claude Code?

Run `npx skills add chendongqi/OPB-Skills --skill product-product-researcher -a claude-code`. Or copy the skill folder (skills/product-product-researcher in chendongqi/OPB-Skills) into .claude/skills/product-product-researcher in your project. Claude Code loads it when a task matches its description.

How do I install Product Product Researcher in Codex?

Run `npx skills add chendongqi/OPB-Skills --skill product-product-researcher -a codex`. Or copy the skill folder (skills/product-product-researcher in chendongqi/OPB-Skills) into .agents/skills/product-product-researcher in your project. Codex loads it when a task matches its description.

Can I use Product Product Researcher 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 chendongqi/OPB-Skills --skill product-product-researcher -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-product-researcher, .gemini/skills/product-product-researcher, .github/skills/product-product-researcher and .opencode/skills/product-product-researcher in your project.

What does Product Product Researcher need to run?

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

Does Product Product Researcher 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 Product Product Researcher 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 Product Product Researcher use?

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

How many tokens does Product Product Researcher use?

About 594 tokens (SKILL.md is roughly 2.4k 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 Product Product Researcher?

Skills that share tags, products or a category with Product Product Researcher: 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.

Who maintains Product Product Researcher?

chendongqi (a GitHub user) maintains it in chendongqi/OPB-Skills, which has 126 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on February 11, 2026.

Source: chendongqi/OPB-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.