Read and write Pipedrive: list deals and contacts, create deals.

MITAuto-check passed

Install Pipedrive

skills CLI
$ npx skills add Anil-matcha/awesome-muse-connectors --skill pipedrive -a claude-code

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

GitHub CLI
$ gh skill install Anil-matcha/awesome-muse-connectors pipedrive --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/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/pipedrive .claude/skills/pipedrive && 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
pipedrive
GitHub stars
1.3k
Token cost
~543 tokens
SKILL.md length
182 words
Files
2
Skills in repo
153
Repo updated
First seen
Licence
MIT

At a glance

Read and write Pipedrive: list deals and contacts, create deals.

  • Works in 4 steps: create-deal is a write: confirm the… → Reading (deals, persons) needs no… → The CLI only ever talks to the --company… → …
  • Phrases: pipedrive
  • SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
  • Runs Python scripts from its folder

What it does

Pipedrive is an agent skill from Anil-matcha/awesome-muse-connectors. Read and write Pipedrive: list deals and contacts, create deals. Trigger phrases: pipedrive, my pipeline, deals.

Its SKILL.md is about 540 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/pipedrive.py`).

The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.

When your agent uses it

  • Phrases: pipedrive

Example prompts

  • “/pipedrive”

Requirements

  • Python 3

Workflow steps

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

  1. create-deal is a write: confirm the title, value, and company with the user before creating, unless standing permission exists.
  2. Reading (deals, persons) needs no confirmation.
  3. The CLI only ever talks to the --company subdomain given on the command line; it refuses anything else.
  4. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/pipedrive.py). Do not print, log, or transmit the token…

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. 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 script files (Python), which the agent can run.

    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

Pipedrive loads about 543 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 182 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~543

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 Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 182 words, ~543 tokens.

Download SKILL.mdSave it as .claude/skills/pipedrive/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
pipedrive
description
Read and write Pipedrive: list deals and contacts, create deals. Trigger phrases: pipedrive, my pipeline, deals.
metadata.includeInPrompt
true
tagline
List deals and contacts, create deals. CRM for your pipeline.
catalog_auth
personal API token (per-user) + company subdomain
catalog_hosts
{company}.pipedrive.com

Pipedrive

Purpose

Read and write the user's Pipedrive CRM: list deals, list contacts, create deals. Use when the user mentions Pipedrive, their pipeline, or deals.

Tooling

All commands go through bin/pipedrive.py. Every command takes --company (your Pipedrive subdomain, e.g. acme for acme.pipedrive.com):

bash
bin/pipedrive.py auth --company acme                      # verify the API token
bin/pipedrive.py deals --company acme --limit 25          # list deals
bin/pipedrive.py deals --company acme --status won        # filter by status
bin/pipedrive.py persons --company acme --limit 25       # list contacts
bin/pipedrive.py create-deal --company acme --title "New deal" --value 5000

Auth

  • Provider id: pipedrive (credential is collected as custom.pipedrive)
  • Collection: personal API token via the secure credential flow (credentials.request_api_access); created in Pipedrive under Personal preferences > API. The company subdomain is passed per-command with --company, never stored.
  • Allowed hosts: {company}.pipedrive.com (the user's own company subdomain only)
  • Status check: bin/pipedrive.py auth --company <subdomain> (must return "ok": true)

Operating Rules

  1. create-deal is a write: confirm the title, value, and company with the user before creating, unless standing permission exists.
  2. Reading (deals, persons) needs no confirmation.
  3. The CLI only ever talks to the --company subdomain given on the command line; it refuses anything else.
  4. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/pipedrive.py). Do not print, log, or transmit the token value.

Files

  • SKILL.md
  • bin/pipedrive.py

Maturity

🧪 Draft: written from Pipedrive's public API docs; not yet live-tested end-to-end.

© Anil-matcha, 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 in connectors/pipedrive of Anil-matcha/awesome-muse-connectors.

  • SKILL.md
  • bin/pipedrive.py

Open the folder on GitHubat commit d6dc5d8

Compare with similar skills

Pipedrive 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.

Pipedrive compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Pipedrive this skillAnil-matcha/awesome-muse-connectors1.3k—~543Automated safety check: PassMIT
Contact Pagethedaviddias/Front-End-Checklist74k—~424Automated safety check: PassMIT
Deal Deskalirezarezvani/claude-skills28k—~2.8kAutomated safety check: PassMIT
Pipedrive Automationdavepoon/buildwithclaude3.6k7 repos~3.1kAutomated safety check: PassMIT
Contact Widgetnexu-io/open-design100k—~1.6kAutomated safety check: PassApache-2.0
Mailtrap Managing Contactssickn33/agentic-awesome-skills47k1 repos~1.9kAutomated safety check: PassMIT

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Questions about Pipedrive

What does Pipedrive do?

Read and write Pipedrive: list deals and contacts, create deals. Pipedrive is an agent skill from Anil-matcha/awesome-muse-connectors. Read and write Pipedrive: list deals and contacts, create deals.

When should I use Pipedrive?

Pipedrive fits situations like: phrases: pipedrive.

How do I install Pipedrive in Claude Code?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill pipedrive -a claude-code`. Or copy the skill folder (connectors/pipedrive in Anil-matcha/awesome-muse-connectors) into .claude/skills/pipedrive in your project. Claude Code loads it when a task matches its description.

How do I install Pipedrive in Codex?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill pipedrive -a codex`. Or copy the skill folder (connectors/pipedrive in Anil-matcha/awesome-muse-connectors) into .agents/skills/pipedrive in your project. Codex loads it when a task matches its description.

Can I use Pipedrive 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 Anil-matcha/awesome-muse-connectors --skill pipedrive -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pipedrive, .gemini/skills/pipedrive, .github/skills/pipedrive and .opencode/skills/pipedrive in your project.

What does Pipedrive need to run?

Going by SKILL.md and its folder, Pipedrive needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Pipedrive 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 Pipedrive 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 Pipedrive use?

Pipedrive 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 Pipedrive use?

About 543 tokens (SKILL.md is roughly 2.2k 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 Pipedrive?

Skills that share tags, products or a category with Pipedrive: Contact Page (thedaviddias/Front-End-Checklist, 74k stars), Deal Desk (alirezarezvani/claude-skills, 28k stars), Pipedrive Automation (davepoon/buildwithclaude, 3.6k stars) and Contact Widget (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pipedrive?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,338 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.

Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.