Matplotlib
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
渐进式研究当前产品，并把已经稳定、可追溯的产品认知增量写入根目录 SOUL.md。首次接入产品代码、原型或线上 URL，需要确认产品形态与已有能力，或某个增长 loop 在执行中发现新的产品事实、用户场景、问题与价值证据时使用。不得一次性臆造完整产品画像，也不得仅凭代码功能推断用户、问题或价值。
Install Research Product
$ npx skills add tsingyuai/growth-lab --skill research-product -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tsingyuai/growth-lab research-product --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/tsingyuai/growth-lab.git skills-src && mkdir -p .claude/skills && cp -r skills-src/collectors/research-product .claude/skills/research-product && 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 "research-product" agent skill from https://github.com/tsingyuai/growth-lab/tree/main/collectors/research-product into .claude/skills/research-product/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-product", 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/tsingyuai/growth-lab/tree/main/collectors/research-productType 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 tsingyuai/growth-lab --skill research-product -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tsingyuai/growth-lab research-product --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tsingyuai/growth-lab.git skills-src && mkdir -p .agents/skills && cp -r skills-src/collectors/research-product .agents/skills/research-product && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "research-product" agent skill from https://github.com/tsingyuai/growth-lab/tree/main/collectors/research-product into .agents/skills/research-product/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-product", 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 tsingyuai/growth-lab --skill research-product -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tsingyuai/growth-lab research-product --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tsingyuai/growth-lab.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/collectors/research-product .cursor/skills/research-product && 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 "research-product" agent skill from https://github.com/tsingyuai/growth-lab/tree/main/collectors/research-product into .cursor/skills/research-product/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-product", 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/tsingyuai/growth-lab.git --path collectors/research-product--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 tsingyuai/growth-lab --skill research-product -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tsingyuai/growth-lab research-product --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tsingyuai/growth-lab.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/collectors/research-product .gemini/skills/research-product && 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 "research-product" agent skill from https://github.com/tsingyuai/growth-lab/tree/main/collectors/research-product into .gemini/skills/research-product/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-product", 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 tsingyuai/growth-lab research-productInstalls 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 tsingyuai/growth-lab --skill research-product -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tsingyuai/growth-lab.git skills-src && mkdir -p .github/skills && cp -r skills-src/collectors/research-product .github/skills/research-product && 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 "research-product" agent skill from https://github.com/tsingyuai/growth-lab/tree/main/collectors/research-product into .github/skills/research-product/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-product", 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 tsingyuai/growth-lab --skill research-product -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tsingyuai/growth-lab research-product --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tsingyuai/growth-lab.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/collectors/research-product .opencode/skills/research-product && 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 "research-product" agent skill from https://github.com/tsingyuai/growth-lab/tree/main/collectors/research-product into .opencode/skills/research-product/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-product", 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.
Facts
- Skill name
research-product- GitHub stars
- 2k
- Token cost
- ~339 tokens
- SKILL.md length
- 68 words
- Files
- 3 (incl. references)
- Skills in repo
- 22
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
渐进式研究当前产品，并把已经稳定、可追溯的产品认知增量写入根目录 SOUL.md。首次接入产品代码、原型或线上 URL，需要确认产品形态与已有能力，或某个增长 loop 在执行中发现新的产品事实、用户场景、问题与价值证据时使用。不得一次性臆造完整产品画像，也不得仅凭代码功能推断用户、问题或价值。
- Works in 4 steps: 已观察事实：代码、配置、路由、界面、公开页面、真实数据或用户明确陈述直接支持。 → 暂定解释：多条事实共同支持，但仍需要使用或市场证据验证。 → 工作假设：为了推进当前 loop… → …
- Data & Analytics work in your project
- SKILL.md covers 证据层级, 每次执行, 写入边界 and 交付
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Research Product is an agent skill from tsingyuai/growth-lab. 渐进式研究当前产品，并把已经稳定、可追溯的产品认知增量写入根目录 SOUL.md。首次接入产品代码、原型或线上 URL，需要确认产品形态与已有能力，或某个增长 loop 在执行中发现新的产品事实、用户场景、问题与价值证据时使用。不得一次性臆造完整产品画像，也不得仅凭代码功能推断用户、问题或价值。
Its SKILL.md is about 340 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/soul-update.md`).
It sits in Data & Analytics. The repository describes itself as: An end-to-end growth tool that understands the product, fetch the data it needs, researches the market, executes campaigns, and reviews results to improve the next round of… The licence is Apache-2.0.
When your agent uses it
- Data & Analytics work in your project
Example prompts
- “/research-product”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 已观察事实：代码、配置、路由、界面、公开页面、真实数据或用户明确陈述直接支持。
- 暂定解释：多条事实共同支持，但仍需要使用或市场证据验证。
- 工作假设：为了推进当前 loop 提出的可能用户、问题、场景或价值，必须写明验证方式。
- 未知：没有证据时保留“未知”，不为了填满 SOUL 而补齐。
What it can do on your machine
Read from SKILL.md and the folder at commit 2d0807c. 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
Research Product loads about 339 tokens when it runs, and up to ~759 if it reads all its reference files. Until then it costs about 41 tokens; SKILL.md has 68 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.
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
The full file from tsingyuai/growth-lab at commit 2d0807c, republished under its Apache-2.0 licence (© tsingyuai). 68 words, ~339 tokens.
Download SKILL.mdSave it as
.claude/skills/research-product/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- research-product
- description
- 渐进式研究当前产品，并把已经稳定、可追溯的产品认知增量写入根目录 SOUL.md。首次接入产品代码、原型或线上 URL，需要确认产品形态与已有能力，或某个增长 loop 在执行中发现新的产品事实、用户场景、问题与价值证据时使用。不得一次性臆造完整产品画像，也不得仅凭代码功能推断用户、问题或价值。
渐进式产品研究
目标不是完成一份产品报告，而是让 Agent 在真实执行中逐步认识产品。每次只研究当前任务需要的部分，并更新能够跨轮次复用的稳定认知。
证据层级
按以下顺序区分，不得混写：
- 已观察事实：代码、配置、路由、界面、公开页面、真实数据或用户明确陈述直接支持。
- 暂定解释：多条事实共同支持，但仍需要使用或市场证据验证。
- 工作假设：为了推进当前 loop 提出的可能用户、问题、场景或价值，必须写明验证方式。
- 未知：没有证据时保留“未知”，不为了填满 SOUL 而补齐。
代码通常只能直接证明产品形态、组成和可见能力。不得从“存在某功能”直接推断“用户最需要它”“它解决了某个核心问题”或“这是产品差异化”。
每次执行
- 读取现有
SOUL.md和当前 Model 的相关 Memory，确定这次真正缺少哪一小块产品认知。 - 定位产品载体：当前/相邻本地仓库、用户指定路径、原型、线上 URL 或用户描述。
- 只读检查与问题直接相关的代码、文档、路由、配置和页面，不进行无目标的全仓扫描。
- 需要验证可见行为时，让调用方 Model 使用 screenshot-assets 获取真实页面证据；截图和本次研究记录进入该 Model 的 Memory。
- 列出“新增事实 / 被修正事实 / 新假设 / 仍未知”，每项附来源路径、URL、截图或用户陈述。
- 按 SOUL 增量写入协议 修改
SOUL.md。只更新本轮有新证据的字段，不重写整份文件。 - 将带时间的检查过程、证据清单和下一步验证动作写入调用方 Model 的
memory/<model-name>/products/<product-slug>/。
写入边界
SOUL.md：产品的稳定认知、明确假设、关键未知和证据链接。- Model Memory：本轮检查过程、截图、页面状态、临时分析、冲突证据和后续验证任务。
- 产品仓库：产品实现本身；除非用户要求修改，不因研究而写入。
- Collector：只维护研究方法，不保存某个产品的事实。
发现冲突时保留旧说法和新证据，先降级为“待验证”，不要静默覆盖。用户明确纠正产品事实时，记录为用户陈述，并在能验证时补上产品证据。
交付
报告本轮实际研究了什么、SOUL 哪些行发生变化、哪些结论仍只是工作假设、证据保存在哪里，以及下一次应在什么真实行动中验证。不要宣称已经“完整理解产品”。
© tsingyuai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (references) in collectors/research-product of tsingyuai/growth-lab.
- SKILL.md
- agents/openai.yaml
- references/soul-update.md
Open the folder on GitHubat commit 2d0807c
Compare with similar skills
Research Product 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 |
|---|---|---|---|---|---|---|
| Research Product this skilltsingyuai/growth-lab | 2k | — | ~339 | Automated safety check: Pass | Apache-2.0 | |
| MatplotlibzLanqing/codex-claude-academic-skills | 4.7k | 17 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Exploratory Data Analysisspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.7k | 16 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Chart Visualizationbytedance/deer-flow | 84k | 1 repos | ~840 | Automated safety check: Pass | MIT | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Research Product
What does Research Product do?
渐进式研究当前产品，并把已经稳定、可追溯的产品认知增量写入根目录 SOUL.md。首次接入产品代码、原型或线上 URL，需要确认产品形态与已有能力，或某个增长 loop 在执行中发现新的产品事实、用户场景、问题与价值证据时使用。不得一次性臆造完整产品画像，也不得仅凭代码功能推断用户、问题或价值。. Research Product is an agent skill from tsingyuai/growth-lab.
When should I use Research Product?
Research Product fits situations like: data & Analytics work in your project.
How do I install Research Product in Claude Code?
Run `npx skills add tsingyuai/growth-lab --skill research-product -a claude-code`. Or copy the skill folder (collectors/research-product in tsingyuai/growth-lab) into .claude/skills/research-product in your project. Claude Code loads it when a task matches its description.
How do I install Research Product in Codex?
Run `npx skills add tsingyuai/growth-lab --skill research-product -a codex`. Or copy the skill folder (collectors/research-product in tsingyuai/growth-lab) into .agents/skills/research-product in your project. Codex loads it when a task matches its description.
Can I use Research Product 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 tsingyuai/growth-lab --skill research-product -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-product, .gemini/skills/research-product, .github/skills/research-product and .opencode/skills/research-product in your project.
What does Research Product need to run?
SKILL.md names no scripts, command-line tools or credentials: Research Product is instructions for the agent only.
Does Research Product 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 Research Product 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 Research Product use?
Research Product is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Research Product use?
About 339 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. Its references folder adds about 420 tokens, read only when the agent opens those files.
What are the alternatives to Research Product?
Skills that share tags, products or a category with Research Product: Matplotlib (zLanqing/codex-claude-academic-skills, 4.7k stars), Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars) and Chart Visualization (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Research Product?
tsingyuai (a GitHub organization) maintains it in tsingyuai/growth-lab, which has 2,000 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on September 28, 2026.
Source: tsingyuai/growth-lab on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.