Agent skill

Customer Learning Notes

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Turn customer conversation notes, interview transcripts, call summaries, CRM snippets, or research notes into shared team learning and next questions.

MITAuto-check passedSales & Support

Install Customer Learning Notes

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill customer-learning-notes -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins customer-learning-notes --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-learning-notes .claude/skills/customer-learning-notes && rm -rf skills-src

Use ~/.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/

Facts

Skill name
customer-learning-notes
GitHub stars
1.2k
Token cost
~852 tokens
SKILL.md length
315 words
Files
3
Skills in repo
736
Repo updated
First seen
Licence
MIT

At a glance

Turn customer conversation notes, interview transcripts, call summaries, CRM snippets, or research notes into shared team learning and next questions.

  • Works in 7 steps: Preserve concrete facts separately from… → Pull out short, useful quotes only when… → Tag signals using the taxonomy above. → …
  • Synthesizing raw customer notes
  • SKILL.md covers Source Traceability, Signal Taxonomy, Synthesis Workflow and Confidence Levels, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Customer Learning Notes is an agent skill from hashgraph-online/awesome-codex-plugins. Turn customer conversation notes, interview transcripts, call summaries, CRM snippets, or research notes into shared team learning and next questions. Use when synthesizing raw customer notes, avoiding founder interpretation bottlenecks, extracting quotes and signals, updating beliefs, or deciding what to ask next.

Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `agents/openai.yaml` and `workflows/synthesize-conversation-notes.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.

It sits in Sales & Support, covering Meeting notes and agendas. 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

  • Synthesizing raw customer notes
  • Avoiding founder interpretation bottlenecks
  • Extracting quotes and signals
  • Updating beliefs

Example prompts

  • “/customer-learning-notes”

Requirements

  • Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Preserve concrete facts separately from interpretation.
  2. Pull out short, useful quotes only when they are needed for traceability,
  3. Tag signals using the taxonomy above.
  4. Group evidence by segment, problem, workaround, budget, and commitment.
  5. Identify contradictions and mixed-segment noise.
  6. Update beliefs, risks, and the next three questions.
  7. Recommend whether to continue, narrow the segment, ask for commitments, or

What it can do on your machine

Read from SKILL.md and the folder at commit 16b4156. 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 Learning Notes loads about 852 tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 315 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~852

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 16b4156, republished under its MIT licence (© hashgraph-online). 315 words, ~852 tokens.

Download SKILL.mdSave it as .claude/skills/customer-learning-notes/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
customer-learning-notes
description
Turn customer conversation notes, interview transcripts, call summaries, CRM snippets, or research notes into shared team learning and next questions. Use when synthesizing raw customer notes, avoiding founder interpretation bottlenecks, extracting quotes and signals, updating beliefs, or deciding what to ask next.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.1.3
metadata.displayName
Customer Learning Notes
metadata.category
Marketing
metadata.tags
customer-discovery,research,notes,synthesis,startups

Customer Learning Notes

Use this skill after customer conversations to turn raw notes into team-readable evidence. Good notes make it harder to misremember, overfit, or let one founder become the sole source of customer truth.

Source Traceability

Primary source: The Mom Test by Rob Fitzpatrick, especially chapter 8 and the conclusion. Guidance is paraphrased for this MIT repo; authoring notes used converted EPUB lines 3613-4445.

Signal Taxonomy

Use these labels when synthesizing notes:

LabelMeaning
PainProblem, obstacle, annoyance, risk, or cost
GoalDesired outcome, job to be done, or priority
WorkaroundCurrent manual process, tool stack, hack, or substitute
MoneyBudget, cost, value, purchase process, or decision owner
PersonSpecific stakeholder, competitor, team, buyer, or intro lead
FeatureRequest, buying criterion, integration need, or implementation clue
EmotionStrong excitement, anger, embarrassment, fear, or skepticism
Follow-upPromise, task, intro, research item, or next step

Synthesis Workflow

  1. Preserve concrete facts separately from interpretation.
  2. Pull out short, useful quotes only when they are needed for traceability, positioning, or internal alignment.
  3. Tag signals using the taxonomy above.
  4. Group evidence by segment, problem, workaround, budget, and commitment.
  5. Identify contradictions and mixed-segment noise.
  6. Update beliefs, risks, and the next three questions.
  7. Recommend whether to continue, narrow the segment, ask for commitments, or move to building/testing.

Confidence Levels

LevelUse When
HighRepeated behavior from a focused segment, with concrete cost or commitment.
MediumSpecific evidence from a few good-fit conversations.
LowOne-off quotes, mixed segments, opinions, or weakly anchored claims.

Output Format

markdown
# Customer Learning Synthesis

## Source Notes
- Conversations:
- Segment:
- Date range:

## Evidence
| Signal | Evidence | Segment | Confidence | Implication |
|--------|----------|---------|------------|-------------|

## Belief Updates
- Stronger / weaker / new / rejected:

## Decisions
- Product, segment, positioning, sales or access:

## Next 3 Questions
1. [Question]
2. [Question]
3. [Question]

Workflow

Use workflows/synthesize-conversation-notes.md when the user provides raw notes, transcripts, call summaries, or interview excerpts.

Quality Bar

  • Do not summarize notes into vibes.
  • Do not let one loud quote outweigh repeated behavior from a focused segment.
  • Do not mix segments without labeling them.
  • Do not treat notes as useful until they have been reviewed and turned into updated beliefs or decisions.

© 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 2 other files in plugins/LVTD-LLC/skills/skills/customer-learning-notes of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • agents/openai.yaml
  • workflows/synthesize-conversation-notes.md

Open the folder on GitHubat commit 16b4156

Compare with similar skills

Customer Learning Notes 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.

Customer Learning Notes compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Customer Learning Notes this skillhashgraph-online/awesome-codex-plugins1.2k—~852Automated safety check: PassMIT
Meeting Prep BriefBrianRWagner/ai-marketing-claude-code-skills4401 repos~922Automated safety check: PassNone
Call Prepbreakstageaxe61/genspark-claw125—~986Automated safety check: PassMIT
Morning Noterongxinzy/RongxinAI1541 repos~754Automated safety check: PassAGPL-3.0
Call DebriefTheCraigHewitt/skills156—~7.1kAutomated safety check: PassMIT
Customer Call Summaryin-the-weeds-hannah-stulberg/team-os-example-repo173—~3.3kAutomated safety check: PassCustom licence

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Categories

Questions about Customer Learning Notes

What does Customer Learning Notes do?

Turn customer conversation notes, interview transcripts, call summaries, CRM snippets, or research notes into shared team learning and next questions. Customer Learning Notes is an agent skill from hashgraph-online/awesome-codex-plugins. Turn customer conversation notes, interview transcripts, call summaries, CRM snippets, or research notes into shared team learning and next questions.

When should I use Customer Learning Notes?

Customer Learning Notes fits situations like: synthesizing raw customer notes; avoiding founder interpretation bottlenecks; extracting quotes and signals; updating beliefs.

How do I install Customer Learning Notes in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill customer-learning-notes -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/customer-learning-notes in hashgraph-online/awesome-codex-plugins) into .claude/skills/customer-learning-notes in your project. Claude Code loads it when a task matches its description.

How do I install Customer Learning Notes in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill customer-learning-notes -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/customer-learning-notes in hashgraph-online/awesome-codex-plugins) into .agents/skills/customer-learning-notes in your project. Codex loads it when a task matches its description.

Can I use Customer Learning Notes 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-learning-notes -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-learning-notes, .gemini/skills/customer-learning-notes, .github/skills/customer-learning-notes and .opencode/skills/customer-learning-notes in your project.

What does Customer Learning Notes need to run?

SKILL.md names no scripts, command-line tools or credentials: Customer Learning Notes is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..

Does Customer Learning Notes 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 Learning Notes 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 Learning Notes use?

Customer Learning Notes 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 Learning Notes use?

About 852 tokens (SKILL.md is roughly 3.4k 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 Learning Notes?

Skills that share tags, products or a category with Customer Learning Notes: Meeting Prep Brief (BrianRWagner/ai-marketing-claude-code-skills, 440 stars), Call Prep (breakstageaxe61/genspark-claw, 125 stars), Morning Note (rongxinzy/RongxinAI, 154 stars) and Call Debrief (TheCraigHewitt/skills, 156 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Customer Learning Notes?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,232 GitHub stars. The repository holds 736 skills in this directory. The repository was last updated on October 6, 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.