User Research Cookiy
cookiy-ai/user-research-skill
End-to-end user research assistant — qualitative and quantitative.
Analyze a user interview from Granola, pasted text, or a file into an evidence-backed briefing, journey insights, product findings, patterns, and actions.
Install Ingest User Interview
$ npx skills add egregore-labs/egregore --skill ingest-user-interview -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install egregore-labs/egregore ingest-user-interview --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/egregore-labs/egregore.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/ingest-user-interview .claude/skills/ingest-user-interview && 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 "ingest-user-interview" agent skill from https://github.com/egregore-labs/egregore/tree/main/.codex/skills/ingest-user-interview into .claude/skills/ingest-user-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest-user-interview", 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/egregore-labs/egregore/tree/main/.codex/skills/ingest-user-interviewType 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 egregore-labs/egregore --skill ingest-user-interview -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install egregore-labs/egregore ingest-user-interview --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/egregore-labs/egregore.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/ingest-user-interview .agents/skills/ingest-user-interview && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ingest-user-interview" agent skill from https://github.com/egregore-labs/egregore/tree/main/.codex/skills/ingest-user-interview into .agents/skills/ingest-user-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest-user-interview", 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 egregore-labs/egregore --skill ingest-user-interview -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install egregore-labs/egregore ingest-user-interview --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/egregore-labs/egregore.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/ingest-user-interview .cursor/skills/ingest-user-interview && 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 "ingest-user-interview" agent skill from https://github.com/egregore-labs/egregore/tree/main/.codex/skills/ingest-user-interview into .cursor/skills/ingest-user-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest-user-interview", 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/egregore-labs/egregore.git --path .codex/skills/ingest-user-interview--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 egregore-labs/egregore --skill ingest-user-interview -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install egregore-labs/egregore ingest-user-interview --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/egregore-labs/egregore.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/ingest-user-interview .gemini/skills/ingest-user-interview && 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 "ingest-user-interview" agent skill from https://github.com/egregore-labs/egregore/tree/main/.codex/skills/ingest-user-interview into .gemini/skills/ingest-user-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest-user-interview", 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 egregore-labs/egregore ingest-user-interviewInstalls 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 egregore-labs/egregore --skill ingest-user-interview -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/egregore-labs/egregore.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/ingest-user-interview .github/skills/ingest-user-interview && 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 "ingest-user-interview" agent skill from https://github.com/egregore-labs/egregore/tree/main/.codex/skills/ingest-user-interview into .github/skills/ingest-user-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest-user-interview", 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 egregore-labs/egregore --skill ingest-user-interview -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install egregore-labs/egregore ingest-user-interview --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/egregore-labs/egregore.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/ingest-user-interview .opencode/skills/ingest-user-interview && 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 "ingest-user-interview" agent skill from https://github.com/egregore-labs/egregore/tree/main/.codex/skills/ingest-user-interview into .opencode/skills/ingest-user-interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest-user-interview", 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
ingest-user-interview- GitHub stars
- 291
- Token cost
- ~689 tokens
- SKILL.md length
- 331 words
- Files
- 2 (incl. references)
- Skills in repo
- 43
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyze a user interview from Granola, pasted text, or a file into an evidence-backed briefing, journey insights, product findings, patterns, and actions.
- Works in 6 steps: Read… → Run the referenced bin/ scripts directly… → Treat graph and publish steps as… → …
- /ingest user-interview
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Onboarding interviews
What it does
Ingest User Interview is an agent skill from egregore-labs/egregore. Analyze a user interview from Granola, pasted text, or a file into an evidence-backed briefing, journey insights, product findings, patterns, and actions. Use for /ingest user-interview, onboarding interviews, research calls, or requests to process user feedback.
Its SKILL.md is about 690 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/analysis-contract.md`).
It sits in Product & Project Management, covering User research. The repository describes itself as: Shared intelligence layer for organizations. The licence is MIT.
When your agent uses it
- /ingest user-interview
- Onboarding interviews
- Requests to process user feedback
Example prompts
- “/ingest-user-interview”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Read .claude/skills/ingest-user-interview/SKILL.md for the workflow details.
- Run the referenced bin/ scripts directly from Codex.
- Treat graph and publish steps as best-effort unless that workflow explicitly
- For every external notification, follow
- Keep local-mode behavior filesystem-first and avoid graph or notification
- Never call the deprecated egregore-handoff CLI for Egregore project
What it can do on your machine
Read from SKILL.md and the folder at commit 05b8672. 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
Ingest User Interview loads about 689 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 331 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 egregore-labs/egregore at commit 05b8672, republished under its MIT licence (© egregore-labs). 331 words, ~689 tokens.
Download SKILL.mdSave it as
.claude/skills/ingest-user-interview/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- ingest-user-interview
- description
- Analyze a user interview from Granola, pasted text, or a file into an evidence-backed briefing, journey insights, product findings, patterns, and actions. Use for /ingest user-interview, onboarding interviews, research calls, or requests to process user feedback.
<!-- generated-by: bin/codex-sync-skills.sh -->Egregore ingest-user-interview Adapter
This adapter runs the canonical Egregore workflow for ingest-user-interview. Its one
maintained body is .claude/skills/ingest-user-interview/SKILL.md; read that file completely and follow it here.
Use the project shell and filesystem directly. Do not invoke Claude Code
commands. Translate interactive choices to structured Codex question tooling
when it is available; otherwise render compact numbered choices with an
Other: option and wait for the user.
Structured UX parity
This workflow has a Claude skill with user-visible structured output. After
reading .claude/skills/ingest-user-interview/SKILL.md, reproduce the same visible UX in Codex:
- Preserve TUI boxes, markdown tables, rich cards, browser artifact rendering, exact confirmation blocks, and "no preamble" rules from the source skill.
- Use the source skill's frame width, section order, labels, status footer, and examples as the contract for the final response.
- Never replace a required box/table/card/artifact view with a prose summary unless the user explicitly asks for a summary.
- When the source says to output a TUI box directly, paste that box as the
visible response, preferably in a
textfenced block. - If the canonical body says the command's stdout is the card and must not
be repeated, that rule assumes a host that displays command output in full;
in Codex, paste the card once as the visible response in a
textfenced block and do not print it a second time. - Never show raw JSON, raw command output, or unformatted script output when the source skill requires formatted status or rendered output.
- Read
.claude/skills/ingest-user-interview/SKILL.mdfor the workflow details. - Run the referenced
bin/scripts directly from Codex. - Treat graph and publish steps as best-effort unless that workflow explicitly says they are required.
- For every external notification, follow
.claude/context/notification-consent.md: plan without sending, then show a separate exact Send / Edit / Cancel checkpoint. Never infer notification consent from the workflow request or a batch approval. - Keep local-mode behavior filesystem-first and avoid graph or notification
calls when
egregore.jsondeclares"mode": "local". - Never call the deprecated
egregore-handoffCLI for Egregore project handoffs.
© egregore-labs, 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 (references) in .codex/skills/ingest-user-interview of egregore-labs/egregore.
- SKILL.md
- references/analysis-contract.md
Open the folder on GitHubat commit 05b8672
Compare with similar skills
Ingest User Interview 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 |
|---|---|---|---|---|---|---|
| Ingest User Interview this skillegregore-labs/egregore | 291 | — | ~689 | 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 | 510 | — | ~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 Ingest User Interview
What does Ingest User Interview do?
Analyze a user interview from Granola, pasted text, or a file into an evidence-backed briefing, journey insights, product findings, patterns, and actions. Ingest User Interview is an agent skill from egregore-labs/egregore. Analyze a user interview from Granola, pasted text, or a file into an evidence-backed briefing, journey insights, product findings, patterns, and actions.
When should I use Ingest User Interview?
Ingest User Interview fits situations like: /ingest user-interview; onboarding interviews; requests to process user feedback.
How do I install Ingest User Interview in Claude Code?
Run `npx skills add egregore-labs/egregore --skill ingest-user-interview -a claude-code`. Or copy the skill folder (.codex/skills/ingest-user-interview in egregore-labs/egregore) into .claude/skills/ingest-user-interview in your project. Claude Code loads it when a task matches its description.
How do I install Ingest User Interview in Codex?
Run `npx skills add egregore-labs/egregore --skill ingest-user-interview -a codex`. Or copy the skill folder (.codex/skills/ingest-user-interview in egregore-labs/egregore) into .agents/skills/ingest-user-interview in your project. Codex loads it when a task matches its description.
Can I use Ingest User Interview 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 egregore-labs/egregore --skill ingest-user-interview -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ingest-user-interview, .gemini/skills/ingest-user-interview, .github/skills/ingest-user-interview and .opencode/skills/ingest-user-interview in your project.
What does Ingest User Interview need to run?
SKILL.md names no scripts, command-line tools or credentials: Ingest User Interview is instructions for the agent only.
Does Ingest User Interview 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 Ingest User Interview 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 Ingest User Interview use?
Ingest User Interview 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 Ingest User Interview use?
About 689 tokens (SKILL.md is roughly 2.8k 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 516 tokens, read only when the agent opens those files.
What are the alternatives to Ingest User Interview?
Skills that share tags, products or a category with Ingest User Interview: 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, 510 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 Ingest User Interview?
egregore-labs (a GitHub organization) maintains it in egregore-labs/egregore, which has 291 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on October 1, 2026.
Source: egregore-labs/egregore on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.