Sales Os

What it does

When your agent uses it

• ANY outbound task — find leads
• Research a company
• Write a connection note
• Launch a campaign

Example prompts

• “/sales-os”

Workflow steps

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

1. 1Gojiberry is the source of truth. Contacts, lists, campaigns, intent types, and Unibox threads come from MCP tools. Invented emails, fake…
2. 2Ship artifacts, not advice. The deliverable is the list, the score, the message, the next action. "You should personalise more" is…
3. 3Propose, don't send — until asked. Default mode never fires a connection request, message, or campaign mutation. Autonomous mode requires…

What it can do on your machine

Read from SKILL.md and the folder at commit 0ee5d22. 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

Sales Os loads about 2k tokens when it runs, and up to ~7.8k if it reads all its reference files. Until then it costs about 211 tokens; SKILL.md has 744 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~211

When it runs · the whole SKILL.md, loaded when a task matches

~2k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~7.8k

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

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 romangojiberryAI/gojiberryai-sales-os at commit 0ee5d22, republished under its MIT licence (© romangojiberryAI). 744 words, ~1,954 tokens.

name

sales-os

description

A complete outbound sales department in one skill. Finds buying-intent prospects, filters them against an ICP, researches accounts, enriches contact data, scores likelihood to buy, writes personalised LinkedIn messages, launches campaigns, triages replies, follows up, qualifies meetings, and reports which ICPs/signals/messages convert — all through the GojiberryAI MCP. Use for ANY outbound task — find leads, research a company, write a connection note, check Unibox, score a list, launch a campaign, book a demo, report pipeline — whenever the user mentions sales, outbound, SDR, GTM, LinkedIn, prospects, ICP, intent, enrichment, campaigns, replies, follow-up, demos, pipeline, or Gojiberry. Route via the table inside; fan out the 13 specialist agents for multi-step work. Not for inbound support, legal contracts, or engineering.

license

MIT

metadata.author

GojiberryAI

metadata.version

1.0

Signal Hunter
  → ICP Analyst
    → Account Researcher
      → Lead Enricher
        → Intent Scorer
          → LinkedIn Copywriter
            → Outreach Operator   (approval gate)
              → Reply Agent
                → Follow-up Agent
                  → Meeting Qualifier

# [List] — [signal / ICP] — [date]
Source: Gojiberry MCP | Mode: propose | Count: N

| Name | Title | Company | Signal | ICP (Y/N + why) | Intent 0-100 | Angle | Next action |

# [Deliverable] — [subject]
[date] · Mode: propose|autonomous · Basis: [MCP / public web / user]

## The one thing
## Scorecard / Findings
## Do these first
## What's already working
## What I couldn't determine

references/
├── routing.md        Sales Manager playbook + chain
├── icp.md            Head of Sales + ICP Analyst
├── signals.md        Signal Hunter
├── research.md       Account Researcher
├── enrichment.md     Lead Enricher
├── scoring.md        Intent Scorer
├── copy.md           LinkedIn Copywriter
├── slop-patterns.md  AI-tell catalogue — run on all prose
├── outreach.md       Outreach Operator
├── replies.md        Reply Agent
├── follow-up.md      Follow-up Agent
├── qualification.md  Meeting Qualifier
├── pipeline.md       Pipeline Analyst
└── mcp.md            GojiberryAI MCP tool map

© romangojiberryAI, 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 15 other files (references) in skills/sales-os of romangojiberryAI/gojiberryai-sales-os.

• SKILL.md
• icp-context.template.md
• references/copy.md
• references/enrichment.md
• references/follow-up.md
• references/icp.md
• references/mcp.md
• references/outreach.md
• references/pipeline.md
• references/qualification.md
• references/replies.md
• references/research.md
• references/routing.md
• references/scoring.md
• references/signals.md
• references/slop-patterns.md

Open the folder on GitHubat commit 0ee5d22