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Agent skill

Promoter Draft

by mohitagw15856 in mohitagw15856/pm-claude-skills

Turn one recurring pattern from a promoter scan into a complete, reusable skill in this library's format: a SKILL.md with a strong trigger description, required inputs, a framework, an output…

MITAuto-check passedDevelopment

Install Promoter Draft

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

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

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills promoter-draft --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-draft .claude/skills/promoter-draft && 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-draft
GitHub stars
1.4k
Token cost
~1.3k tokens
SKILL.md length
688 words
Files
2 (incl. references)
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

Turn one recurring pattern from a promoter scan into a complete, reusable skill in this library's format: a SKILL.md with a strong trigger description, required inputs, a framework, an output…

  • Works in 6 steps: Name it for the job, not the verb.… → Write the description last, from the… → Turn the fixes into rules. Every time… → …
  • Required inputs
  • SKILL.md covers What This Skill Produces, Required Inputs, Framework: From Prompt to Skill and Output Format, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Promoter Draft is an agent skill from mohitagw15856/pm-claude-skills. Turn one recurring pattern from a promoter scan into a complete, reusable skill in this library's format: a SKILL.md with a strong trigger description, required inputs, a framework, an output template, quality checks, anti-patterns, and three worked examples derived from the user's real prompts, plus the bundle manifest. Use when asked to draft a skill from this pattern, promote this pattern into a skill, write the SKILL.md for what I keep asking, or as the second step of the promote loop. Produces a…

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 reference files (for example `references/skill-template.md`).

It sits in Development. 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

  • Required inputs
  • An output template
  • Three worked examples derived from the users real prompts
  • Plus the bundle manifest

Example prompts

  • “/promoter-draft”

Workflow steps

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

  1. Name it for the job, not the verb. release-notes-from-git-log, not write-notes. Check skills/ for the exact name and for semantic…
  2. Write the description last, from the examples. The "Use when" clause is made of the phrases the user actually typed, generalised: "release…
  3. Turn the fixes into rules. Every time the user corrected the assistant ("shorter", "group by feature", "user-facing tone"), that…
  4. Ask for inputs; never invent them. The Required Inputs section lists what the skill needs and what to ask for when it is missing.
  5. Generalise the examples. Replace the user's product, team and customer names with plain roles. Keep the shape and the numbers…
  6. Match the house style. Sections in the library's order; a scale or decision rule where the job has one; stdlib-only helper scripts if any…

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

Promoter Draft loads about 1.3k tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 149 tokens; SKILL.md has 688 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~149
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.6k

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). 688 words, ~1,315 tokens.

Download SKILL.mdSave it as .claude/skills/promoter-draft/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
promoter-draft
description
Turn one recurring pattern from a promoter scan into a complete, reusable skill in this library's format: a SKILL.md with a strong trigger description, required inputs, a framework, an output template, quality checks, anti-patterns, and three worked examples derived from the user's real prompts, plus the bundle manifest. Use when asked to draft a skill from this pattern, promote this pattern into a skill, write the SKILL.md for what I keep asking, or as the second step of the promote loop. Produces a ready-to-test skill folder that anyone, not just the original user, can use.
version
1.0.0

Promoter Draft

A recurring prompt tells you what someone wants; a skill tells the assistant how to do it well every time. This skill takes one pattern from the scan report and writes the skill properly: the trigger description a model can match on, the inputs to ask for, the method, the output shape, and the checks that keep it honest. The worked examples come from the user's real prompts, generalised so the skill is useful to strangers.

Second step of the promote loop. Follows promoter-scan; feeds promoter-test.

What This Skill Produces

  • skills/<name>/SKILL.md in the library's format, with a description that has all three parts: what it does, "Use when ..." in the user's own vocabulary, "Produces ..." the concrete artefact
  • Three worked examples inside the skill (input, abridged output), derived from the pattern's example prompts with anything specific to one person, employer or dataset removed
  • A plugin.json stanza for the bundle it joins, and any supporting reference file the framework needs
  • A collision note: the nearest existing skills by name and by job, and why this one is different

Required Inputs

Ask for these if not provided:

  • The pattern: its name, example prompts and score from the scan report, or the user's own description of the repeated ask
  • What good output looks like to the user: the format they end up with after fixing the assistant's draft (this becomes the Output Format)
  • What always goes wrong in the assistant's first attempt (this becomes the Anti-Patterns)
  • The bundle it should join, if the user has one in mind

Framework: From Prompt to Skill

  1. Name it for the job, not the verb. release-notes-from-git-log, not write-notes. Check skills/ for the exact name and for semantic neighbours; if one exists, extend it instead of drafting a duplicate.
  2. Write the description last, from the examples. The "Use when" clause is made of the phrases the user actually typed, generalised: "release notes from this git log", "changelog entry from these commits". The "Produces" clause names the artefact.
  3. Turn the fixes into rules. Every time the user corrected the assistant ("shorter", "group by feature", "user-facing tone"), that correction becomes a quality check or an anti-pattern.
  4. Ask for inputs; never invent them. The Required Inputs section lists what the skill needs and what to ask for when it is missing.
  5. Generalise the examples. Replace the user's product, team and customer names with plain roles. Keep the shape and the numbers illustrative; mark invented figures as examples.
  6. Match the house style. Sections in the library's order; a scale or decision rule where the job has one; stdlib-only helper scripts if any; British spelling; no em dashes.

The section order and a fill-in template are in references/skill-template.md.

Show full SKILL.md (236 more words)Show less

Output Format

skills/<name>/
  SKILL.md            # the skill, complete
  references/         # only if the framework needs a lookup table or checklist
plugins/<bundle>/.claude-plugin/plugin.json   # new stanza, or the existing one with the skill added

Followed by a short note: the collision check (nearest three skills, why this differs), the three examples' provenance ("derived from prompts 1, 4 and 9 of the scan, names removed"), and the one thing the user should sanity-check before testing.

Quality Checks

  • The description contains all three parts and reads in the user's vocabulary, not the library's
  • Every required section is present, in the library's order
  • Three worked examples, each with an input and an abridged output, none naming a real person, company or dataset
  • At least three quality checks and three anti-patterns come from the user's own corrections
  • The nearest existing skills are named and the difference stated
  • No em dashes, no image placeholders, British spelling

Anti-Patterns

  • Copying the best prompt into a file and calling it a skill. A prompt says what; a skill says how and what good looks like.
  • Keeping the user's company in the examples. The skill must work for a stranger.
  • A description that is a summary. It is a trigger; it must contain the phrases people say.
  • Inventing a framework for a job that does not have one. Some skills are a template and a checklist; say so.

Example Trigger Phrases

  • "Draft a skill from pattern 1 in the scan."
  • "Promote 'release notes from git log' into a skill."
  • "Write the SKILL.md for the thing I keep asking for."
  • "Turn this repeated prompt into a proper skill."

© 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 (references) in skills/promoter-draft of mohitagw15856/pm-claude-skills.

  • SKILL.md
  • references/skill-template.md

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Promoter Draft 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 Draft compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Promoter Draft this skillmohitagw15856/pm-claude-skills1.4k—~1.3kAutomated safety check: PassMIT
Vercel Composition Patternssupabase/supabase111k58 repos~726Automated safety check: PassMIT
Finishing a Development Branchobra/superpowers297k5 repos~1.9kAutomated safety check: PassMIT
Typescript Advanced Typesrolling-scopes/rsschool-app10k25 repos~4.2kAutomated safety check: PassMPL-2.0
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k4 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about Promoter Draft

What does Promoter Draft do?

Turn one recurring pattern from a promoter scan into a complete, reusable skill in this library's format: a SKILL.md with a strong trigger description, required inputs, a framework, an output…. Promoter Draft is an agent skill from mohitagw15856/pm-claude-skills.md with a strong trigger description, required inputs, a framework, an output template, quality checks, anti-patterns, and three worked examples derived from the user's real prompts, plus the bundle manifest.

When should I use Promoter Draft?

Promoter Draft fits situations like: required inputs; an output template; three worked examples derived from the users real prompts; plus the bundle manifest.

How do I install Promoter Draft in Claude Code?

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

How do I install Promoter Draft in Codex?

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

Can I use Promoter Draft 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-draft -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-draft, .gemini/skills/promoter-draft, .github/skills/promoter-draft and .opencode/skills/promoter-draft in your project.

What does Promoter Draft need to run?

SKILL.md names no scripts, command-line tools or credentials: Promoter Draft is instructions for the agent only.

Does Promoter Draft 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 Draft 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 Promoter Draft use?

Promoter Draft 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 Draft 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 278 tokens, read only when the agent opens those files.

What are the alternatives to Promoter Draft?

Skills that share tags, products or a category with Promoter Draft: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Promoter Draft?

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.