Agent skill

Promoter Scan

by mohitagw15856 in mohitagw15856/pm-claude-skills

Find the requests you keep making to your AI assistant by scanning Claude Code transcripts and claude.ai exports, clustering them by intent, and ranking each recurring pattern by how promotable it…

MITAuto-check passed

Install Promoter Scan

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill promoter-scan -a claude-code

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

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills promoter-scan --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/promoter-scan .claude/skills/promoter-scan && 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
promoter-scan
GitHub stars
1.4k
Token cost
~1.3k tokens
SKILL.md length
677 words
Files
2 (incl. scripts)
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

Find the requests you keep making to your AI assistant by scanning Claude Code transcripts and claude.ai exports, clustering them by intent, and ranking each recurring pattern by how promotable it…

  • Asked what do I keep asking for
  • SKILL.md covers What This Skill Produces, Required Inputs, Framework: Promotability and Programmatic Helper, plus 4 more sections
  • Runs Python scripts from its folder; calls python3
  • Scan my transcripts

What it does

Promoter Scan is an agent skill from mohitagw15856/pm-claude-skills. Find the requests you keep making to your AI assistant by scanning Claude Code transcripts and claude.ai exports, clustering them by intent, and ranking each recurring pattern by how promotable it is into a reusable skill. Use when asked what do I keep asking for, scan my transcripts, find repeated prompts, which of my prompts should become skills, or to start the promote loop. Produces a ranked report of recurring patterns with frequency, redacted example prompts, the variation between them, and a promotability…

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/promoter_scan.py`).

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 what do I keep asking for
  • Scan my transcripts
  • Find repeated prompts
  • Which of my prompts should become skills

Example prompts

  • “/promoter-scan”

Requirements

  • Python 3

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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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

Promoter Scan loads about 1.3k tokens when it runs. Until then it costs about 135 tokens; SKILL.md has 677 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~135
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 677 words, ~1,317 tokens.

Download SKILL.mdSave it as .claude/skills/promoter-scan/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
promoter-scan
description
Find the requests you keep making to your AI assistant by scanning Claude Code transcripts and claude.ai exports, clustering them by intent, and ranking each recurring pattern by how promotable it is into a reusable skill. Use when asked what do I keep asking for, scan my transcripts, find repeated prompts, which of my prompts should become skills, or to start the promote loop. Produces a ranked report of recurring patterns with frequency, redacted example prompts, the variation between them, and a promotability score.
version
1.0.0

Promoter Scan

Most people have five or six prompts they type every week with small variations. Each one is a skill that has not been written down yet. This skill reads your own transcripts, groups the requests by what they are trying to do, and ranks the groups by how much they would gain from becoming a skill: often asked, phrased consistently, with clear inputs and outputs.

It is the first step of the promote loop: scan, draft, test, publish. The /promote command runs the whole loop.

What This Skill Produces

  • A ranked table of recurring patterns: name, how many times it was asked, a promotability score from 0 to 100, and the three components behind it (frequency, consistency, clear inputs and outputs)
  • Per pattern, up to three example prompts, redacted, plus a one-line reading of the variation between them and a verdict: promote, maybe, leave
  • A JSON version of the same report for the draft step, so nothing is retyped

Required Inputs

Ask for these if not provided:

  • Where the transcripts are. Claude Code keeps session transcripts as *.jsonl under ~/.claude/projects/<project>/. A claude.ai export is a conversations.json inside the downloaded archive. Either or both work; a folder is fine.
  • The minimum count worth reporting (default 3) and, if the user wants, a date range to limit the scan
  • Anything that must never appear in the report beyond the built-in redaction (client names, project codenames)

Framework: Promotability

A pattern is worth promoting when all three are true:

ComponentWeightHigh when
Frequency50%it comes up often relative to everything else the user asks
Consistency30%the prompts share vocabulary; the same job, not a family of jobs
Clear inputs and outputs20%the prompts say what goes in ("from this git log") and what comes out ("as a table")

Verdicts: 60 and above is promote; 35 to 59 is maybe, usually a family that needs splitting into two skills; below 35 is leave alone.

Redaction is not optional. Emails, phone numbers, card and account numbers, API keys, tokens, passwords and URLs are replaced before anything is written to the report. If the user names extra terms to strip, strip them too. When in doubt, paraphrase the example rather than quote it.

Programmatic Helper

scripts/promoter_scan.py does the reading, redaction, clustering and scoring. Stdlib only.

bash
python3 skills/promoter-scan/scripts/promoter_scan.py ~/.claude/projects/my-project --json scan-report.json
python3 skills/promoter-scan/scripts/promoter_scan.py ~/Downloads/claude-export/conversations.json --min-count 4

It prints the markdown report and, with --json, writes the clusters for the draft step. Run it first; use the output as the evidence, then add the human reading of each pattern that the script cannot give (whether two clusters are really one job, whether a high scorer is actually a one-off spree).

Show full SKILL.md (240 more words)Show less

Output Format

Promoter scan: [source], [N] user turns, [date range]
#PatternTimesScoreFrequencyConsistencyClear I/O
1. [pattern name] (score, times)

Example prompts (redacted):

  • ...
  • ...
  • ...

Variation: [low / medium / high, and what varies: the source material, the audience, the format]. Verdict: [promote / maybe / leave], because ... Suggested skill name: [kebab-name]

What to promote first

[The one pattern with the best score-to-effort ratio and why]

Quality Checks

  • Every example prompt has been through redaction and contains no email, key, number sequence or URL
  • Each pattern is one job; families ("summarise X" for five different Xs) are flagged as maybe with a note on how to split
  • The score components are shown, not just the total
  • One-off sprees (ten asks in one afternoon, never again) are called out rather than promoted
  • A suggested skill name is given for every promote verdict, checked against the library for collisions

Anti-Patterns

  • Quoting a prompt verbatim because it looked harmless. Redact first, judge later.
  • Promoting by frequency alone. Fifty variations of "help" are not a skill.
  • Merging jobs that share a verb. "Summarise a thread" and "summarise a paper" want different frameworks.
  • Scanning other people's transcripts. The loop is for the user's own usage, with their consent to read it.

Example Trigger Phrases

  • "What do I keep asking Claude for?"
  • "Scan my transcripts and tell me which prompts should be skills."
  • "Find my repeated prompts from the last month."
  • "Start the promote loop on my Claude Code sessions."

© 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 1 other file (scripts) in skills/promoter-scan of mohitagw15856/pm-claude-skills.

  • SKILL.md
  • scripts/promoter_scan.py

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Promoter Scan 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.

Promoter Scan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Promoter Scan this skillmohitagw15856/pm-claude-skills1.4k—~1.3kAutomated safety check: PassMIT
Scanwshobson/agents40k—~2.2kAutomated safety check: PassMIT
Repo Scanaffaan-m/ECC276k—~1.5kAutomated safety check: PassMIT
Repo Scanaffaan-m/ECC276k—~1.3kAutomated safety check: PassMIT
Vulnerability Scanningsickn33/agentic-awesome-skills47k1 repos~2.8kAutomated safety check: PassMIT
Repo Scanaffaan-m/ECC277k1 repos~1.8kAutomated safety check: PassMIT

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Questions about Promoter Scan

What does Promoter Scan do?

Find the requests you keep making to your AI assistant by scanning Claude Code transcripts and claude.ai exports, clustering them by intent, and ranking each recurring pattern by how promotable it…. Promoter Scan is an agent skill from mohitagw15856/pm-claude-skills.ai exports, clustering them by intent, and ranking each recurring pattern by how promotable it is into a reusable skill.

When should I use Promoter Scan?

Promoter Scan fits situations like: asked what do I keep asking for; scan my transcripts; find repeated prompts; which of my prompts should become skills.

How do I install Promoter Scan in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill promoter-scan -a claude-code`. Or copy the skill folder (skills/promoter-scan in mohitagw15856/pm-claude-skills) into .claude/skills/promoter-scan in your project. Claude Code loads it when a task matches its description.

How do I install Promoter Scan in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill promoter-scan -a codex`. Or copy the skill folder (skills/promoter-scan in mohitagw15856/pm-claude-skills) into .agents/skills/promoter-scan in your project. Codex loads it when a task matches its description.

Can I use Promoter Scan 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 promoter-scan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/promoter-scan, .gemini/skills/promoter-scan, .github/skills/promoter-scan and .opencode/skills/promoter-scan in your project.

What does Promoter Scan need to run?

Going by SKILL.md and its folder, Promoter Scan needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Promoter Scan 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 Promoter Scan 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Promoter Scan use?

Promoter Scan 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 Promoter Scan 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.

What are the alternatives to Promoter Scan?

Skills that share tags, products or a category with Promoter Scan: Scan (wshobson/agents, 40k stars), Repo Scan (affaan-m/ECC, 276k stars), Repo Scan (affaan-m/ECC, 276k stars) and Vulnerability Scanning (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Promoter Scan?

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.