marketing
Skill56 starsChanged 50 days agoMITView on GitHub
Entry point for this project's marketing work - the private marketing folder with the task list, facts, channel playbooks and drafts. Use when the user says 마케팅, 마케팅 하자, 홍보, 런칭, 포스트 써줘, 글 초안, "run M<number>", or asks to work on launch, promotion, posts or outreach.
32 other projects use a version of this.
Adopted by
Most recently taken up by
- stericishere/skillstheir own version, first seen Nov 15, 2026
- muthuishere/toolnexustheir own version, first seen Nov 8, 2026
- fal-ai-community/skillstheir own version, first seen Nov 7, 2026
- FradSer/skillstheir own version, first seen Nov 1, 2026
- mxrsv/agents-skillstheir own version, first seen Nov 1, 2026
- aya-taleb/biz-ready-skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use writing, research and 3 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
alxyrginSkillwriting
Создание контента для личного бренда — статьи, посты, туториалы. Use when user asks to "напиши статью", "создай пост", "подготовь контент", "write article", "create content", or when task requires content creation for blogging, LinkedIn, Medium, or other publishing platforms.
Also in 3 projects that use this
NVIDIASkillresearch
Before designing a feature, research how comparable libraries solve the problem, check best practices, known pitfalls, and upstream changes. Use when starting a new feature, investigating an unfamiliar area, or the user asks to research something.
Also in 4 projects that use this
GoogleSkillprototype
Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.
Also in 3 projects that use this
BlockSkillfrontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Also in 4 projects that use this
GoogleSkillcode-review
Adversarial systems, concurrency, memory-model, and architecture code review protocol. Use this skill whenever asked to review code, PRs, diffs, or branches in Filament.
Also in 3 projects that use this
Other versions32 projects use a version of this.
Word for word · 1
- cgoinglove/thursday★ 56100% same
Edited · 0
None found.
Wrote their own version · 31
- fal-ai-community/skills★ 265same name
- zeuikli/claude-code-workspace★ 155same name
- travisjneuman/.claude★ 106same name
- pantalytics/odoo-mcp-pro★ 92same name
- arturseo-geo/marketing-skill★ 35same name
- echris6/ai-business-skills★ 16same name
- mxrsv/agents-skills★ 11same name
- sukirman1901/frontend-expert★ 9same name
- victorperez22/marketing-claude-code★ 9same name
- muthuishere/toolnexus★ 6same name
21 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository12 other files it gives its agents.
- AGENTS.mdAGENTS.md
- agent-browserSkill
- ai-sdkSkill
- shadcnSkill
- artifactSkill
- browserSkill
- computerSkill
- daily-briefSkill
- data-reportSkill
- find-skillsSkill
- media-digestSkill
- skill-creatorSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 22 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 8
Read docs/marketing.local.d/README.md first.
“Common” is measured: kept by at least 6 in 10 of the 22 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Marketing for this project already has a plan and one folder that holds all of it: docs/marketing.local.d/. Start from it, never from a blank page. The folder is private (its name matches *.local.*), so nothing in it is ever committed.
- Read
docs/marketing.local.d/README.mdfirst. It says who writes on which channel, how a post gets written, and where everything is. - Read
docs/marketing.local.d/tasks.md. Every task has an id, a tag for what it needs from the owner, and what it waits on. If the user named an id ("run M9"), run that task. Otherwise lead: say where things stand in a few lines, pick what moves the most and needs nothing from the owner, and run it. - Before writing anything about the product, read
facts.mdthere — its first table says what is released and what is only on main, then what may be said, what it costs, what is not local, and the claims that are false — then the channel's section inchannels.md, which says who writes there. Copy already written and waiting is indrafts/ready.md; look there before writing anything new. Who writes on which channel:- the owner by hand (Hacker News, X, Dev.to, awesome-selfhosted): hand over facts, timing and a check of their own text. Never sentences to paste; these places ban machine-written posts or suspend accounts nobody taps.
- an agent drafts, the owner posts (GeekNews, the OpenAI forum, messages to people): write the exact text into
drafts/ready.mdunder that channel. - an agent runs it after the owner's yes (GitHub, mail, newsletter and directory forms, Reddit and Threads on the owner's account). Mail follows
mail-runbook.md.
- Load a writing skill only when the task needs it. Read its SKILL.md by path; this works whether or not the skill is linked into
.Codex/skills:- copy for a page or a post:
~/.Codex/skills/copywriting/SKILL.md - what to write and when:
.agents/skills/content-strategy/SKILL.md - framing and persuasion:
.agents/skills/marketing-psychology/SKILL.md - search visibility:
.agents/skills/seo-audit/SKILL.md - video and media assets:
.agents/skills/image-to-video/SKILL.md,.agents/skills/media-use/SKILL.md
- copy for a page or a post:
- When a task finishes or its state changes, update its line in
tasks.md, add what went out tolog/posted.md, delete a sent piece fromdrafts/ready.md, and republish the owner's status board (its URL is in the folder's README) when the task list moved. Keep the folder small: what is done is deleted, and history lives inlog/posted.mdandarchive/.
Nothing is posted, sent or published until the user has seen the exact text and said yes. A step that is the owner's (an account, a recording, a post only a person may write) stops there and says what is needed. Never a bot account, an ask for stars or upvotes, the same text in two places, or a password typed by an agent.
The app itself has a bot for the recurring part: cgoing (.ai-workspace/bots/cgoing/, role in docs/marketing.local.d/cgoing.md) reports the project's pulse and drafts the weekly "what shipped" into .ai-workspace/artifacts/cgoing/. Read what it wrote before collecting the same numbers again. Its memory/ holds what this work learned by doing it — the mail sender, the marketing browser, the channel holds, the asset URLs, the house rules, the broken forms. When a session learns something of that shape, add it there in the same file and copy it back to docs/marketing.local.d/app-kit/cgoing/memory/.
A reset of the app wipes cgoing and Jarvis's demo job. At the start of a marketing session, check sqlite3 local.db "select count(*) from bot where name='cgoing'" from the repo root; if it prints 0 and the app has booted since the reset, run bash docs/marketing.local.d/app-kit/restore.sh and tell the user it was put back.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

