User Research Cookiy
cookiy-ai/user-research-skill
End-to-end user research assistant — qualitative and quantitative.
Synthesises user interview transcripts into structured research findings.
Install User Interview Synthesis
$ npx skills add mohitagw15856/pm-claude-skills --skill user-interview-synthesis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills user-interview-synthesis --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/user-interview-synthesis .claude/skills/user-interview-synthesis && 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-interview-synthesis" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/user-interview-synthesis into .claude/skills/user-interview-synthesis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-interview-synthesis", 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/mohitagw15856/pm-claude-skills/tree/main/skills/user-interview-synthesisType 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 mohitagw15856/pm-claude-skills --skill user-interview-synthesis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills user-interview-synthesis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/user-interview-synthesis .agents/skills/user-interview-synthesis && 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-interview-synthesis" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/user-interview-synthesis into .agents/skills/user-interview-synthesis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-interview-synthesis", 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 mohitagw15856/pm-claude-skills --skill user-interview-synthesis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills user-interview-synthesis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/user-interview-synthesis .cursor/skills/user-interview-synthesis && 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-interview-synthesis" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/user-interview-synthesis into .cursor/skills/user-interview-synthesis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-interview-synthesis", 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/mohitagw15856/pm-claude-skills.git --path skills/user-interview-synthesis--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 mohitagw15856/pm-claude-skills --skill user-interview-synthesis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills user-interview-synthesis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/user-interview-synthesis .gemini/skills/user-interview-synthesis && 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-interview-synthesis" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/user-interview-synthesis into .gemini/skills/user-interview-synthesis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-interview-synthesis", 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 mohitagw15856/pm-claude-skills user-interview-synthesisInstalls 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 mohitagw15856/pm-claude-skills --skill user-interview-synthesis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/user-interview-synthesis .github/skills/user-interview-synthesis && 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-interview-synthesis" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/user-interview-synthesis into .github/skills/user-interview-synthesis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-interview-synthesis", 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 mohitagw15856/pm-claude-skills --skill user-interview-synthesis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills user-interview-synthesis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/user-interview-synthesis .opencode/skills/user-interview-synthesis && 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-interview-synthesis" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/user-interview-synthesis into .opencode/skills/user-interview-synthesis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-interview-synthesis", 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-interview-synthesis- GitHub stars
- 1.4k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 634 words
- Files
- 4 (incl. references)
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
Synthesises user interview transcripts into structured research findings.
- Works in 6 steps: Read all provided transcripts fully… → Identify recurring themes (minimum 3… → Categorize findings into: Pain Points,… → …
- Asked to analyse interview notes
- SKILL.md covers Required Inputs, Process, Output Structure and Deeper Materials, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
User Interview Synthesis is an agent skill from mohitagw15856/pm-claude-skills. Synthesises user interview transcripts into structured research findings. Use when asked to analyse interview notes, synthesise qualitative research, identify themes from interviews, or turn raw interview data into actionable product insights. Produces a themed synthesis with supporting quotes per theme, 'so what' implications, and recommended next steps. For mixed sources beyond interviews (surveys, tickets, feedback) use user-research-synthesis instead.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/coding-transcripts.md`, `references/worked-example.md` and `templates/per-session-capture.md`).
It sits in Product & Project Management, covering User research. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.
When your agent uses it
- Asked to analyse interview notes
- Synthesise qualitative research
- Identify themes from interviews
- Turn raw interview data into actionable product insights
Example prompts
- “so what”
- “Use the user-interview-synthesis skill to synthesise user interview transcripts into structured research findings”
- “/user-interview-synthesis”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Read all provided transcripts fully before drawing conclusions
- Identify recurring themes (minimum 3 mentions to qualify as a theme)
- Categorize findings into: Pain Points, Workflow Insights, Feature Requests, Delight Moments
- Select 2-3 verbatim quotes per theme that best represent the pattern
- Draft "So What" implications for each theme — what does this mean for the product?
- Validate — Confirm every theme has quotes from at least 3 participants. Flag any insight resting on fewer as low-confidence.
What it can do on your machine
Read from SKILL.md and the folder at commit 1cbf1f0. 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 Interview Synthesis loads about 1.3k tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 121 tokens; SKILL.md has 634 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 mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 634 words, ~1,318 tokens.
Download SKILL.mdSave it as
.claude/skills/user-interview-synthesis/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- user-interview-synthesis
- description
- Synthesises user interview transcripts into structured research findings. Use when asked to analyse interview notes, synthesise qualitative research, identify themes from interviews, or turn raw interview data into actionable product insights. Produces a themed synthesis with supporting quotes per theme, 'so what' implications, and recommended next steps. For mixed sources beyond interviews (surveys, tickets, feedback) use user-research-synthesis instead.
User Interview Synthesis Skill
Transform raw interview transcripts into a structured synthesis document that surfaces themes, pain points, and actionable insights.
Required Inputs
Ask the user for these if not provided:
- Interview transcripts or notes (even rough notes work)
- Number of participants and their profiles (role, company size, context)
- Research questions (what was the study trying to answer?)
- Date range of research (for context)
Process
- Read all provided transcripts fully before drawing conclusions
- Identify recurring themes (minimum 3 mentions to qualify as a theme)
- Categorize findings into: Pain Points, Workflow Insights, Feature Requests, Delight Moments
- Select 2-3 verbatim quotes per theme that best represent the pattern
- Draft "So What" implications for each theme — what does this mean for the product?
- Validate — Confirm every theme has quotes from at least 3 participants. Flag any insight resting on fewer as low-confidence.
Output Structure
Research Synthesis: [Study Name]
Participants: [n] Date Range: [dates] Research Questions: [list]
Theme 1: [Theme Name]
- Summary (2-3 sentences)
- Supporting quotes (from at least 3 participants)
- Implication for product
[Repeat for each theme]
Low-Confidence Signals (1-2 participants only)
[Findings worth tracking but not acting on yet — note what further research would confirm or deny]
Recommended Next Steps
[Specific, actionable recommendations based on findings]
Deeper Materials
This skill ships with support files — use them when they are available:
references/coding-transcripts.md— Coding Interview Transcripts Without Losing the Signal. Apply it while producing the output; it carries the calibration and judgment calls the method summary above compresses.templates/per-session-capture.md— a fill-in version of the deliverable with the quality gates inline. Offer it when the user wants to work the document themselves rather than have it generated.
Scoring Rubric (0–40)
Score any output of this skill before handing it over; 32+ is ship-quality.
| Dimension | 0 | 5 | 10 |
|---|---|---|---|
| Evidence traceability | Themes asserted with no quotes or participant attribution | Most themes carry quotes, but some rest on 1–2 participants or unattributed paraphrase | Every theme carries verbatim quotes from ≥3 distinct participants, with frequency counts ("6 of 9") consistent with the roster |
| Implication actionability | Implications restate the observation ("users find X frustrating") | Implications gesture at direction but name no decision, owner, or change | Every implication enables a specific product decision someone could act on this quarter |
| Contradiction honesty | All findings conveniently support the sponsor's hypothesis; inconvenient data absent | Contradictory evidence present but buried or softened; both-ways quotes trimmed to the helpful half | Findings that contradict the hypothesis are surfaced prominently, and ambiguous quotes are kept whole with the tension flagged |
| Signal separation & question coverage | Single-source anecdotes mixed into main themes; research questions ignored | Low-confidence signals segregated but with no follow-up path, or one research question left unaddressed | Every 1–2-participant signal sits in its own section with the cheap test that would confirm it, and every research question gets an explicit answer — including "inconclusive" |
Show full SKILL.md (163 more words)Show less
Quality Checks
- Every theme is supported by quotes from at least 3 participants
- Implications connect to specific product decisions, not just observations
- Researcher bias check: no leading language, findings don't all support one hypothesis
- Single-source signals are flagged separately, not mixed into main themes
- Research questions from the study brief are each addressed (even if the answer is "inconclusive")
Anti-Patterns
- Do not mix single-source signals into main themes — insights cited by only one participant must be flagged separately
- Do not write implications that are observations restated rather than product decisions enabled
- Do not include themes that only support the project hypothesis — contradictory findings must be surfaced, not omitted
- Do not present findings without quotes — every theme requires verbatim evidence from at least 3 participants
- Do not leave research questions unanswered — each question from the study brief must be explicitly addressed, even if the answer is inconclusive
Example Trigger Phrases
- "Analyse interview notes."
- "Synthesise qualitative research."
- "Turn raw interview data into actionable product insights."
© mohitagw15856, 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 3 other files (references) in skills/user-interview-synthesis of mohitagw15856/pm-claude-skills.
- SKILL.md
- references/coding-transcripts.md
- references/worked-example.md
- templates/per-session-capture.md
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
User Interview Synthesis 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 Interview Synthesis this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~1.3k | Automated safety check: Pass | MIT | |
| User Research Cookiycookiy-ai/user-research-skill | 1.6k | — | ~954 | Automated safety check: Pass | MIT | |
| Fable DomainSahir619/fable-method | 2.3k | — | ~2.6k | Automated safety check: Pass | MIT | |
| Produck Feedback To Buildtryproduck/produck-skills | 511 | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Customer InterviewsRefoundAI/lenny-skills | 1.4k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Product Discovery Brief Builderopen-mercato/skills | 231 | — | ~3k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about User Interview Synthesis
What does User Interview Synthesis do?
Synthesises user interview transcripts into structured research findings. User Interview Synthesis is an agent skill from mohitagw15856/pm-claude-skills. Synthesises user interview transcripts into structured research findings.
When should I use User Interview Synthesis?
User Interview Synthesis fits situations like: asked to analyse interview notes; synthesise qualitative research; identify themes from interviews; turn raw interview data into actionable product insights.
How do I install User Interview Synthesis in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill user-interview-synthesis -a claude-code`. Or copy the skill folder (skills/user-interview-synthesis in mohitagw15856/pm-claude-skills) into .claude/skills/user-interview-synthesis in your project. Claude Code loads it when a task matches its description.
How do I install User Interview Synthesis in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill user-interview-synthesis -a codex`. Or copy the skill folder (skills/user-interview-synthesis in mohitagw15856/pm-claude-skills) into .agents/skills/user-interview-synthesis in your project. Codex loads it when a task matches its description.
Can I use User Interview Synthesis 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 mohitagw15856/pm-claude-skills --skill user-interview-synthesis -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-interview-synthesis, .gemini/skills/user-interview-synthesis, .github/skills/user-interview-synthesis and .opencode/skills/user-interview-synthesis in your project.
What does User Interview Synthesis need to run?
SKILL.md names no scripts, command-line tools or credentials: User Interview Synthesis is instructions for the agent only.
Does User Interview Synthesis 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 Interview Synthesis 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 Interview Synthesis use?
User Interview Synthesis 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 Interview Synthesis use?
About 1.3k tokens (SKILL.md is roughly 5.3k 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 2.9k tokens, read only when the agent opens those files.
What are the alternatives to User Interview Synthesis?
Skills that share tags, products or a category with User Interview Synthesis: User Research Cookiy (cookiy-ai/user-research-skill, 1.6k stars), Fable Domain (Sahir619/fable-method, 2.3k stars), Produck Feedback To Build (tryproduck/produck-skills, 511 stars) and Customer Interviews (RefoundAI/lenny-skills, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains User Interview Synthesis?
mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.
Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.