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Public skill library

112 skills for AI growth work

Conversion Skills is our public library behind how we work. It gives Claude a governed business vault, durable memory, 112 task skills, and guardrails for teams and agencies.

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Conversion Skills workspace showing plugin install, command families, vault files, ledger, examples, and repo gates
112
Claude skills
7
core modules
9
operating routines
88
delivery skills
23
template files
6
repo gates

Install

Use it as a plugin, or start with a folder

The repo is designed for people who want useful AI without buying another platform. The AI is the runtime, markdown files are the database, and git is the journal.

Zero-infra setup

Create an empty folder, open Claude in that folder, and run setup. It builds the vault, asks for the business basics, seeds the first files, and gives the AI a place to remember the work.

  • Empty folder
  • Run /setup
  • Plain markdown

Claude Code plugin

Install the public plugin from GitHub when you want the command library available inside Claude Code. The repo includes plugin metadata, marketplace copy, commands, and docs.

  • /plugin marketplace add ConversionSystem/conversion-skills
  • /plugin install conversion-skills@conversion-skills
  • Run /setup

No lock-in

The vault stays in your folder. You can read it, edit it, commit it, move it, or delete it. No proprietary database is required for the basic operating model.

  • Files you own
  • Git history
  • Readable rules

Vault

It gives Claude a memory system

Conversion Skills is not just a pile of prompts. Setup creates a governed business folder with places for company context, memory, pipeline, projects, daily work, content, operations, library files, and inbox material.

Business vault

The vault includes CLAUDE.md, system rules, company files, memory, pipeline, projects, content, operations, daily notes, library material, and an inbox for new context.

  • Company
  • Memory
  • Pipeline

KPI ledger

The append-only ledger captures date, metric, baseline, current value, target, source, confidence, and notes. Reviews can look back at what changed instead of guessing from memory.

  • Baseline
  • Current
  • Confidence

Templates

The repo ships template files for AI agent briefs, automation briefs, brand voice, clients, competitors, daily notes, decisions, ICPs, invoices, meetings, offers, proposals, SOPs, tasks, and workflows.

  • Briefs
  • Reviews
  • Workflows

Setup output

The first run writes the operating folders

Setup does not pretend the AI already knows the business. It creates the places where company context, work history, files, and decisions can live before any agent starts making drafts.

Root router and system rules

Setup writes the root CLAUDE.md and _system folder so Claude knows where facts belong, how to handle budgets, and what needs human review.

  • CLAUDE.md
  • _system/
  • Router rules

Company, memory, and pipeline

The vault creates homes for company truth, durable memory, prospects, deals, projects, and the KPI ledger so repeat work has context to read from.

  • Company/
  • Memory/
  • Pipeline/

Daily, content, operations, and inbox

The operating folders capture daily notes, content drafts, SOPs, workflow files, library references, and loose context that still needs to be routed.

  • Daily/
  • Content/
  • Inbox/

Modules

Seven modules run the operating loop

The repo separates the system into core modules so buyers and teams can see where the value comes from: setup, memory, daily operation, optimization, team work, client work, and connectors. The workflow library sits beside them with the delivery skills.

Setup, memory, team

Setup creates the vault. Memory keeps durable business facts. The team module runs the daily rhythm, routes facts, drafts work, and flags decisions for a human.

  • /setup
  • /memory
  • /team

Optimizer, team, client

Optimizer plans and proposes fixes. Team OS adds roles and shared knowledge. Client OS gives agencies firewalled client folders so one client task does not read another client folder.

  • /optimizer
  • /team
  • /client

Connectors and workflows

The connector layer records optional tool access, budgets, plans, and plan logs. The workflow library covers growth, content, sales, creative, design, build, and reporting work.

  • /connect
  • Plan logs
  • Workflow library

Templates

The repo includes 23 reusable starting files

Templates keep the system from asking a blank-page AI to invent structure every time. They give common business artifacts a predictable shape.

Agent and automation briefs

AI agent briefs and automation briefs define the job, inputs, outputs, approvals, and constraints before a workflow becomes a build task.

  • ai-agent-brief.md
  • automation-brief.md
  • workflow-file.md

Operating documents

Daily notes, weekly reviews, monthly reviews, decision logs, meeting summaries, SOPs, task briefs, and project briefs give the team a consistent work trail.

  • daily-note.md
  • weekly-review.md
  • sop.md

Go-to-market context

Brand voice, ICP, offer, client profile, competitor, proposal, invoice, and KPI ledger templates keep sales and marketing work tied to real business context.

  • brand-voice.md
  • icp.md
  • offer.md

Skill families

The 112 skills are grouped by real work

The page should make the repo easier to understand than a raw file tree. These are the command families buyers can map to the work they already repeat.

Core and daily

Run the operating rhythm: setup, memory, daily briefs, meeting capture, pipeline updates, project updates, weekly reviews, business reviews, SOPs, and dashboards.

  • /setup
  • /daily
  • /weekly-review

SEO, GEO, and content

Plan and improve search work with SEO plans, schema, programmatic pages, comparisons, GEO optimization, content plans, technical SEO, sitemaps, image SEO, and publishing skills.

  • /seo-audit
  • /geo-optimize
  • /blog-post

Paid ads and campaigns

Plan, plan, budget, and draft paid media across Google, Meta, LinkedIn, TikTok, Microsoft, YouTube, creative, competitors, and landing page work.

  • /ads-audit
  • /ads-google
  • /ads-creative

Sales and pipeline

Research, qualify, enrich, mine CRM context, review pipeline, inspect win-loss patterns, draft LinkedIn outreach, analyze reps, and prepare free-plan style discovery.

  • /lead-research
  • /crm-mining
  • /pipeline-review

Creative and media

Turn ideas into useful assets with YouTube ideation, briefs, outlines, scripting, packaging, title generation, thumbnails, infographics, visuals, video, GIFs, and transcription.

  • /youtube-scripting
  • /generate-visual
  • /audio-transcriber

Build and utilities

Shape the systems around the work with MCP builder, agent builder, deep research, fact checking, humanizer, file organizer, n8n planning, course creator, and launch kits.

  • /mcp-builder
  • /agent-builder
  • /n8n

Orchestration

Some skills fan out, then judge the work

The repo documents an orchestration pattern for bigger plans. The main skill gathers the facts, specialist agents inspect their slice, and a judge cuts weak or uncited findings before the draft reaches a human.

Gather once, fan out

Orchestrating skills collect the raw signals into the project folder first. Specialists then read only the slice they are assigned.

  • Site plan
  • SEO plan
  • Ads plan

Merge and judge

The main skill assembles the scorecard. The judge agent tries to refute each finding, and thin or uncited claims get removed.

  • Main skill merges
  • Judge reviews
  • Citations required

Draft-only by design

The skills diagnose, draft, and recommend. A human applies changes, sends messages, publishes content, deletes files, or changes permissions. Conversion OS stays private.

  • No surprise sends
  • No live publishing
  • Human approval

Agent examples

See what AI can run

The agent pages translate public skill patterns into buyer-friendly workflows: what each agent reads, prepares, writes, and leaves for human review.

Sales Agent

Lead research, qualification, enrichment, pipeline review, draft follow-up, and sales analysis.

  • Research
  • Qualify
  • Review
Open

Marketing Agent

Content plans, SEO work, landing pages, ads, newsletters, social posts, and draft publishing packages.

  • Plan
  • Draft
  • Improve
Open

Client Agent

Meeting capture, onboarding, delivery updates, health checks, proof requests, and case-study drafts.

  • Capture
  • Update
  • Protect
Open

Report Agent

KPI memory, weekly reviews, business reviews, dashboards, pipeline reads, and claim checks.

  • Measure
  • Review
  • Verify
Open

Trust model

Connectors and actions stay controlled

The repo is careful about tool access. It can run without connectors. When connectors are added, each one gets purpose, plan, rate limits, secrets handling, and plan logging.

Optional connectors

Possible connectors include meetings, chat, email, calendar, CRM, analytics, WordPress, image data, and ad data. The default setup still works from pasted context, exports, and files.

  • No connector required
  • planned reads
  • Plan log

Human approval

The skills can draft emails, posts, reports, pages, automations, and plans. A human still approves sending, publishing, deleting, pricing changes, permission changes, and client contact.

  • Draft first
  • Approval gate
  • No surprise sends

Secrets stay out

Credentials do not live in the vault. Connector docs reference the secret manager name, and scripts scan for keys before the repo or a client workspace gets sloppy.

  • Secret manager
  • Scan scripts
  • Readable plan

Profiles

Solo, Team, and Agency have different guardrails

The same library can serve one owner, a team, or an agency. The difference is how much permissioning, collaboration, and client separation the folder needs.

Solo

For one owner who wants Claude to remember the business, keep a pipeline, capture calls, draft follow-up, and keep the week pointed at the right work.

  • Pipeline
  • Daily notes
  • Projects

Team

For teams that need shared company knowledge, people profiles, role planning, permissions, access notes, and a clearer plan trail around what the AI touched.

  • Roles
  • Permissions
  • Team context

Agency

For agencies that need firewalled client workspaces. Each client gets its own folder, one client is active at a time, and scripts check that client context does not gap across accounts.

  • Client vaults
  • Firewall
  • Portfolio view

Repo gates

The public repo has checks, not just claims

This matters for authority. Conversion Skills is inspectable, with docs, scripts, examples, and checks that show how the system is supposed to behave before a buyer asks us to build around their business.

Six quality gates

The repo includes checks for clean-room language, instruction budgets, secrets, client firewall gaps, brand rules, and section structure. Those gates help keep the skill library useful as it grows.

  • Clean room
  • Budgets
  • Firewall

Seeded examples

Solo, Team, and Agency examples show the vault structure in practice, including system rules, permissions, memory, daily notes, company files, and KPI ledger examples.

  • Solo vault
  • Team vault
  • Agency vault

Nine scripts

Repo scripts check brand, budgets, client firewall boundaries, clean-room language, secrets, sections, skill sync, command docs, and the full verify run.

  • check-firewall.sh
  • scan-secrets.sh
  • verify.sh

Buyer questions

Plain answers about Conversion Skills

Use this section when you need the short version before reading the repo. The detailed sections above show the actual folders, skill families, templates, gates, and agent patterns.

What is Conversion Skills?

Conversion Skills is the public Conversion System repo. It gives Claude a governed business vault, 112 documented skills, setup routines, templates, examples, connectors, and safety gates for AI systems for growth work.

What can Conversion Skills help a team run?

It can help structure sales research, marketing drafts, client workspaces, meeting capture, weekly reviews, KPI memory, reports, SEO work, ad planning, content production, creative briefs, and agent or automation briefs.

Does Conversion Skills replace a custom AI system?

No. Conversion Skills is the public method and skill layer. A custom AI system is still useful when the work needs live integrations, proprietary data, custom interfaces, or a workflow built around a specific team.

How does a team start with Conversion Skills?

Install the Claude Code plugin or open a folder and run setup. The setup creates the business vault, asks for company context, writes the operating folders, and gives the AI a place to read and remember work.

Next step

Get the repo access kit

Leave your email and we will send the quickstart, command map, install path, and the files worth reading first.