Produck Feedback To Build
tryproduck/produck-skills
Pulls full in-context user feedback tickets through the Produck MCP server and turns them into an aligned product change instead of a guess.
Plan a user research questionnaire, or turn collected responses into evidence-linked input for a PRD, with the AI Product Development Toolkit's research prompts.
Install User Research
$ npx skills add TechNomadCode/AI-Product-Development-Toolkit --skill user-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install TechNomadCode/AI-Product-Development-Toolkit user-research --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/TechNomadCode/AI-Product-Development-Toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent-skills/user-research .claude/skills/user-research && 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 "user-research" agent skill from https://github.com/TechNomadCode/AI-Product-Development-Toolkit/tree/main/agent-skills/user-research into .claude/skills/user-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-research", 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/TechNomadCode/AI-Product-Development-Toolkit/tree/main/agent-skills/user-researchType 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 TechNomadCode/AI-Product-Development-Toolkit --skill user-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install TechNomadCode/AI-Product-Development-Toolkit user-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TechNomadCode/AI-Product-Development-Toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent-skills/user-research .agents/skills/user-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "user-research" agent skill from https://github.com/TechNomadCode/AI-Product-Development-Toolkit/tree/main/agent-skills/user-research into .agents/skills/user-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-research", 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 TechNomadCode/AI-Product-Development-Toolkit --skill user-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install TechNomadCode/AI-Product-Development-Toolkit user-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TechNomadCode/AI-Product-Development-Toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent-skills/user-research .cursor/skills/user-research && 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 "user-research" agent skill from https://github.com/TechNomadCode/AI-Product-Development-Toolkit/tree/main/agent-skills/user-research into .cursor/skills/user-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-research", 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/TechNomadCode/AI-Product-Development-Toolkit.git --path agent-skills/user-research--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 TechNomadCode/AI-Product-Development-Toolkit --skill user-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install TechNomadCode/AI-Product-Development-Toolkit user-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TechNomadCode/AI-Product-Development-Toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent-skills/user-research .gemini/skills/user-research && 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 "user-research" agent skill from https://github.com/TechNomadCode/AI-Product-Development-Toolkit/tree/main/agent-skills/user-research into .gemini/skills/user-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-research", 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 TechNomadCode/AI-Product-Development-Toolkit user-researchInstalls 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 TechNomadCode/AI-Product-Development-Toolkit --skill user-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/TechNomadCode/AI-Product-Development-Toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent-skills/user-research .github/skills/user-research && 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 "user-research" agent skill from https://github.com/TechNomadCode/AI-Product-Development-Toolkit/tree/main/agent-skills/user-research into .github/skills/user-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-research", 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 TechNomadCode/AI-Product-Development-Toolkit --skill user-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install TechNomadCode/AI-Product-Development-Toolkit user-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TechNomadCode/AI-Product-Development-Toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent-skills/user-research .opencode/skills/user-research && 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 "user-research" agent skill from https://github.com/TechNomadCode/AI-Product-Development-Toolkit/tree/main/agent-skills/user-research into .opencode/skills/user-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-research", 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
user-research- GitHub stars
- 1k
- Token cost
- ~266 tokens
- SKILL.md length
- 109 words
- Files
- 2
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- MIT
At a glance
Plan a user research questionnaire, or turn collected responses into evidence-linked input for a PRD, with the AI Product Development Toolkit's research prompts.
- Tasks that involve User research
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve PRD writing
What it does
User Research is an agent skill from TechNomadCode/AI-Product-Development-Toolkit. Plan a user research questionnaire, or turn collected responses into evidence-linked input for a PRD, with the AI Product Development Toolkit's research prompts.
Its SKILL.md is about 270 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in Product & Project Management, covering User research and PRD writing. The repository describes itself as: Plan, build and launch products with AI: guided planning prompts, an AI App Starter for Next.js, Supabase and Vercel, and agent configurations. The licence is MIT.
When your agent uses it
- Tasks that involve User research
- Tasks that involve PRD writing
Example prompts
- “/user-research”
What it can do on your machine
Read from SKILL.md and the folder at commit 1d3e2ca. 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
User Research loads about 266 tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 109 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 TechNomadCode/AI-Product-Development-Toolkit at commit 1d3e2ca, republished under its MIT licence (© TechNomadCode). 109 words, ~266 tokens.
Download SKILL.mdSave it as
.claude/skills/user-research/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- user-research
- description
- Plan a user research questionnaire, or turn collected responses into evidence-linked input for a PRD, with the AI Product Development Toolkit's research prompts.
- disable-model-invocation
- true
<!-- From the AI Product Development Toolkit (https://github.com/TechNomadCode/AI-Product-Development-Toolkit). Paste its skills install line again to update. -->This skill has two prompts in its folder. Unless the owner's message makes it clear, ask which one they need:
Guided-User-Research-Questionnaire.md: design a questionnaire, before the research.Post-Research-PRD-Input.md: turn collected responses into input for a PRD, after the research.
If a file is missing, tell the owner to install the skills again. Then run the prompt:
- Read it in full and follow it exactly, as if the owner had pasted it.
- Fill its placeholders from the owner: use what's in their message or the files they point to, and ask for the rest. Don't guess.
- When the owner approves the draft, offer to save it as a Markdown file.
© TechNomadCode, MIT. 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 1 other file in agent-skills/user-research of TechNomadCode/AI-Product-Development-Toolkit.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit 1d3e2ca
Compare with similar skills
User Research 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 |
|---|---|---|---|---|---|---|
| User Research this skillTechNomadCode/AI-Product-Development-Toolkit | 1k | — | ~266 | Automated safety check: Pass | MIT | |
| Produck Feedback To Buildtryproduck/produck-skills | 511 | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Product Manager Toolkitdavila7/claude-code-templates | 32k | 6 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Product Manager Toolkitmajiayu000/spellbook | 286 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Product Managementjulianromli/opencode-template | 144 | 1 repos | ~3.4k | Automated safety check: Pass | None | |
| Prd V09 Feedback Loop Setupmattgierhart/PRD-driven-context-engineering | 179 | — | ~3.9k | Automated safety check: Pass | MIT |
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Product Manager Toolkit
davila7/claude-code-templates
Scores feature requests with RICE, mines customer interview transcripts for pain points, and offers PRD templates, with two Python scripts behind it.
Product Manager Toolkit
majiayu000/spellbook
Product management helpers: a RICE scoring script, an interview transcript analyzer and PRD templates for prioritizing features, synthesizing research and writing requirements.
Product Management
julianromli/opencode-template
Assist with core product management activities including writing PRDs, analyzing features, synthesizing user research, planning roadmaps, and communicating product decisions.
Prd V09 Feedback Loop Setup
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Establish channels and processes for capturing and processing post-launch feedback during PRD v0.9 Go-to-Market.
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Establish weekly customer-discovery cadence and Opportunity Solution Tree practice using Teresa Torres's Continuous Discovery Habits framework during PRD v1.0 Market Adoption.
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Define the smallest first version worth building (the MVP concept) from a PRD through a guided interview, with the AI Product Development Toolkit's MVP concept prompt.
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Interview the owner about a product idea, then draft a Product Requirements Document (PRD) with the AI Product Development Toolkit's PRD prompt.
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Related
Categories
Questions about User Research
What does User Research do?
Plan a user research questionnaire, or turn collected responses into evidence-linked input for a PRD, with the AI Product Development Toolkit's research prompts. User Research is an agent skill from TechNomadCode/AI-Product-Development-Toolkit. Plan a user research questionnaire, or turn collected responses into evidence-linked input for a PRD, with the AI Product Development Toolkit's research prompts.
When should I use User Research?
User Research fits situations like: tasks that involve User research; tasks that involve PRD writing.
How do I install User Research in Claude Code?
Run `npx skills add TechNomadCode/AI-Product-Development-Toolkit --skill user-research -a claude-code`. Or copy the skill folder (agent-skills/user-research in TechNomadCode/AI-Product-Development-Toolkit) into .claude/skills/user-research in your project. Claude Code loads it when a task matches its description.
How do I install User Research in Codex?
Run `npx skills add TechNomadCode/AI-Product-Development-Toolkit --skill user-research -a codex`. Or copy the skill folder (agent-skills/user-research in TechNomadCode/AI-Product-Development-Toolkit) into .agents/skills/user-research in your project. Codex loads it when a task matches its description.
Can I use User Research 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 TechNomadCode/AI-Product-Development-Toolkit --skill user-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/user-research, .gemini/skills/user-research, .github/skills/user-research and .opencode/skills/user-research in your project.
What does User Research need to run?
SKILL.md names no scripts, command-line tools or credentials: User Research is instructions for the agent only.
Does User Research 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 User Research 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 User Research use?
User Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does User Research use?
About 266 tokens (SKILL.md is roughly 1.1k 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 User Research?
Skills that share tags, products or a category with User Research: Produck Feedback To Build (tryproduck/produck-skills, 511 stars), Product Manager Toolkit (davila7/claude-code-templates, 32k stars), Product Manager Toolkit (majiayu000/spellbook, 286 stars) and Product Management (julianromli/opencode-template, 144 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains User Research?
TechNomadCode (a GitHub user) maintains it in TechNomadCode/AI-Product-Development-Toolkit, which has 1,006 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 5, 2026.
Source: TechNomadCode/AI-Product-Development-Toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.