User Research Cookiy
cookiy-ai/user-research-skill
End-to-end user research assistant — qualitative and quantitative.
Agent skill
Customer Discovery Conversations
by hashgraph-online in hashgraph-online/awesome-codex-plugins
Plan and audit customer discovery conversations that produce concrete evidence instead of compliments, opinions, hypotheticals, or feature-request noise.
Install Customer Discovery Conversations
$ npx skills add hashgraph-online/awesome-codex-plugins --skill customer-discovery-conversations -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins customer-discovery-conversations --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/customer-discovery-conversations .claude/skills/customer-discovery-conversations && 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 "customer-discovery-conversations" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/customer-discovery-conversations into .claude/skills/customer-discovery-conversations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-discovery-conversations", 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/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/customer-discovery-conversationsType 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 hashgraph-online/awesome-codex-plugins --skill customer-discovery-conversations -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins customer-discovery-conversations --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/customer-discovery-conversations .agents/skills/customer-discovery-conversations && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "customer-discovery-conversations" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/customer-discovery-conversations into .agents/skills/customer-discovery-conversations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-discovery-conversations", 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 hashgraph-online/awesome-codex-plugins --skill customer-discovery-conversations -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins customer-discovery-conversations --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/customer-discovery-conversations .cursor/skills/customer-discovery-conversations && 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 "customer-discovery-conversations" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/customer-discovery-conversations into .cursor/skills/customer-discovery-conversations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-discovery-conversations", 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/hashgraph-online/awesome-codex-plugins.git --path plugins/LVTD-LLC/skills/skills/customer-discovery-conversations--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 hashgraph-online/awesome-codex-plugins --skill customer-discovery-conversations -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins customer-discovery-conversations --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/customer-discovery-conversations .gemini/skills/customer-discovery-conversations && 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 "customer-discovery-conversations" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/customer-discovery-conversations into .gemini/skills/customer-discovery-conversations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-discovery-conversations", 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 hashgraph-online/awesome-codex-plugins customer-discovery-conversationsInstalls 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 hashgraph-online/awesome-codex-plugins --skill customer-discovery-conversations -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/customer-discovery-conversations .github/skills/customer-discovery-conversations && 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 "customer-discovery-conversations" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/customer-discovery-conversations into .github/skills/customer-discovery-conversations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-discovery-conversations", 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 hashgraph-online/awesome-codex-plugins --skill customer-discovery-conversations -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins customer-discovery-conversations --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/customer-discovery-conversations .opencode/skills/customer-discovery-conversations && 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 "customer-discovery-conversations" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/customer-discovery-conversations into .opencode/skills/customer-discovery-conversations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-discovery-conversations", 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
customer-discovery-conversations- GitHub stars
- 1.3k
- Token cost
- ~981 tokens
- SKILL.md length
- 365 words
- Files
- 5
- Skills in repo
- 714
- Repo updated
- First seen
- Licence
- MIT
At a glance
Plan and audit customer discovery conversations that produce concrete evidence instead of compliments, opinions, hypotheticals, or feature-request noise.
- Works in 8 steps: State the decision the conversations… → Name the riskiest assumptions, including… → Choose the narrow customer or… → …
- Planning customer interviews
- SKILL.md covers Source Traceability, Workflow Routing, Conversation Workflow and Question Rules, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Customer Discovery Conversations is an agent skill from hashgraph-online/awesome-codex-plugins. Plan and audit customer discovery conversations that produce concrete evidence instead of compliments, opinions, hypotheticals, or feature-request noise. Use when planning customer interviews, rewriting interview scripts, validating startup ideas before building, avoiding biased questions, or applying Mom Test-style customer learning.
Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files (for example `agents/openai.yaml`, `workflows/recover-bad-data.md` and `workflows/rewrite-interview-questions.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.
It sits in Product & Project Management, covering User research. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.
When your agent uses it
- Planning customer interviews
- Rewriting interview scripts
- Validating startup ideas before building
- Avoiding biased questions
Example prompts
- “/customer-discovery-conversations”
Requirements
- Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
- State the decision the conversations should improve.
- Name the riskiest assumptions, including at least one uncomfortable question.
- Choose the narrow customer or stakeholder type. If the segment is fuzzy, use
- Prepare up to three learning goals for this type of person.
- Rewrite questions toward current behavior and specific past examples.
- Keep the conversation about the customer until there is enough evidence to
- During the conversation, anchor vague claims to recent examples and dig into
- Capture notes, signals, and follow-up tasks for review.
What it can do on your machine
Read from SKILL.md and the folder at commit 9e7b281. 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.
Compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
From compatibility in the SKILL.md frontmatter.
Context cost
Customer Discovery Conversations loads about 981 tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 365 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 hashgraph-online/awesome-codex-plugins at commit 9e7b281, republished under its MIT licence (© hashgraph-online). 365 words, ~981 tokens.
Download SKILL.mdSave it as
.claude/skills/customer-discovery-conversations/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- customer-discovery-conversations
- description
- Plan and audit customer discovery conversations that produce concrete evidence instead of compliments, opinions, hypotheticals, or feature-request noise. Use when planning customer interviews, rewriting interview scripts, validating startup ideas before building, avoiding biased questions, or applying Mom Test-style customer learning.
- compatibility
- Codex, Claude Code, and other Agent Skills-compatible clients.
- license
- MIT
- metadata.version
- 0.1.3
- metadata.displayName
- Customer Discovery Conversations
- metadata.category
- Marketing
- metadata.tags
- customer-discovery,customer-interviews,startups,validation,research
Customer Discovery Conversations
Use this skill to turn customer conversations into decision-quality evidence. The goal is not approval for an idea. The goal is to learn concrete facts about customers' lives, current behavior, constraints, costs, workarounds, and risks.
Source Traceability
Primary source: The Mom Test by Rob Fitzpatrick, especially chapters 1-4 and 8. Guidance is paraphrased for this MIT repo; authoring notes used converted EPUB lines 236-2362 and 3613-4108.
Workflow Routing
| Need | Use |
|---|---|
| Rewrite an interview script | workflows/rewrite-interview-questions.md |
| Run a batch of conversations | workflows/run-conversation-batch.md |
| Recover from compliments, hypotheticals, or ideas | workflows/recover-bad-data.md |
| Segment is too broad | customer-segment-slicing |
| Product or sales meeting needs a real next step | customer-commitment-validation |
| Raw notes need synthesis | customer-learning-notes |
Conversation Workflow
- State the decision the conversations should improve.
- Name the riskiest assumptions, including at least one uncomfortable question.
- Choose the narrow customer or stakeholder type. If the segment is fuzzy, use
customer-segment-slicingfirst. - Prepare up to three learning goals for this type of person.
- Rewrite questions toward current behavior and specific past examples.
- Keep the conversation about the customer until there is enough evidence to discuss a solution.
- During the conversation, anchor vague claims to recent examples and dig into current costs, workarounds, constraints, and goals.
- Capture notes, signals, and follow-up tasks for review.
Show full SKILL.md (151 more words)Show less
Question Rules
- Talk about the customer's life, work, tools, constraints, and recent past.
- Ask scary questions early enough that the answer can still change the plan.
- Turn opinions, compliments, and hypotheticals into requests for examples.
- Ask what already costs them time, money, reputation, or operational pain.
- Save the pitch until the customer evidence justifies discussing a solution.
Good Evidence
Prefer recent examples, current workarounds, money/time/reputation already spent, existing tools and budgets, named stakeholders, decision paths, and strong emotion backed by a concrete story.
Treat compliments, opinions, future promises, generic claims, and feature requests without motivation as weak evidence.
Output Format
# Customer Discovery Plan
## Context
- Decision:
- Segment:
- Risk questions:
## Conversation Guide
| Goal | Ask About | Avoid | Follow-Up |
|------|-----------|-------|-----------|
## Evidence To Capture
- Current behavior, past examples, workarounds:
- Costs, budget, constraints, stakeholders:
- Strong emotion, follow-up, commitment:
## Review Criteria
- What changed in our beliefs?
- What is still unknown?
- What are the next three questions?Quality Bar
- Do not help users collect approval or compliments.
- Do not ask customers to design the product for the team.
- Do not treat "I would buy this" as validation without commitment.
- Do not run conversations without a decision, segment, and learning goals.
- Prefer fewer high-value conversations over many generic interviews.
© hashgraph-online, 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 4 other files in plugins/LVTD-LLC/skills/skills/customer-discovery-conversations of hashgraph-online/awesome-codex-plugins.
- SKILL.md
- agents/openai.yaml
- workflows/recover-bad-data.md
- workflows/rewrite-interview-questions.md
- workflows/run-conversation-batch.md
Open the folder on GitHubat commit 9e7b281
Compare with similar skills
Customer Discovery Conversations 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 |
|---|---|---|---|---|---|---|
| Customer Discovery Conversations this skillhashgraph-online/awesome-codex-plugins | 1.3k | — | ~981 | 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 Customer Discovery Conversations
What does Customer Discovery Conversations do?
Plan and audit customer discovery conversations that produce concrete evidence instead of compliments, opinions, hypotheticals, or feature-request noise. Customer Discovery Conversations is an agent skill from hashgraph-online/awesome-codex-plugins. Plan and audit customer discovery conversations that produce concrete evidence instead of compliments, opinions, hypotheticals, or feature-request noise.
When should I use Customer Discovery Conversations?
Customer Discovery Conversations fits situations like: planning customer interviews; rewriting interview scripts; validating startup ideas before building; avoiding biased questions.
How do I install Customer Discovery Conversations in Claude Code?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill customer-discovery-conversations -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/customer-discovery-conversations in hashgraph-online/awesome-codex-plugins) into .claude/skills/customer-discovery-conversations in your project. Claude Code loads it when a task matches its description.
How do I install Customer Discovery Conversations in Codex?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill customer-discovery-conversations -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/customer-discovery-conversations in hashgraph-online/awesome-codex-plugins) into .agents/skills/customer-discovery-conversations in your project. Codex loads it when a task matches its description.
Can I use Customer Discovery Conversations 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 hashgraph-online/awesome-codex-plugins --skill customer-discovery-conversations -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/customer-discovery-conversations, .gemini/skills/customer-discovery-conversations, .github/skills/customer-discovery-conversations and .opencode/skills/customer-discovery-conversations in your project.
What does Customer Discovery Conversations need to run?
SKILL.md names no scripts, command-line tools or credentials: Customer Discovery Conversations is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..
Does Customer Discovery Conversations 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 Customer Discovery Conversations 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 Customer Discovery Conversations use?
Customer Discovery Conversations is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Customer Discovery Conversations use?
About 981 tokens (SKILL.md is roughly 3.9k 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 Customer Discovery Conversations?
Skills that share tags, products or a category with Customer Discovery Conversations: 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 Customer Discovery Conversations?
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,255 GitHub stars. The repository holds 714 skills in this directory. The repository was last updated on October 9, 2026.
Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.