People

Organization

Lifecycle-Innovations-Limited

people

OPS on-demand: This skill should be used when the user asks to "sync contacts", "people database", or…

Overview

Publisher	Lifecycle-Innovations-Limited
Repository	`claude-ops`
Skill name	`people`
Stars	543
Forks	64
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by Lifecycle-Innovations-Limited on GitHub. Read the source before you install it.

Installation

Install the People AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Lifecycle-Innovations-Limited/claude-ops/tree/main/claude-ops/skills/people
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Lifecycle-Innovations-Limited/claude-ops/tree/main/claude-ops/skills/people

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Lifecycle-Innovations-Limited/claude-ops.git /tmp/claude-ops
mkdir -p .claude/skills
cp -r /tmp/claude-ops/claude-ops/skills/people .claude/skills/people

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable People in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads People on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so People is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

/ops:people

Load ops-rules before acting. Public repo (no personal data). Outbound: one draft → one approval → one send. If AskUserQuestion / Workflow are missing, follow Rule 10 in ops-rules (Hermes: numbered options / two-turn Telegram card; delegate_task).

Apple Contacts is source of truth. Notion "People" database is the working layer.

Subcommands

Subcommand	What it does
`sync` (default)	Pull Apple Contacts via `pc contacts fetch`, upsert to Notion People DB
`birthdays [--window 7]`	Who has a birthday/anniversary in the next N days
`overdue`	Who's past their relationship-strength cadence and needs reach-out
`whois <name>`	Pull single person's full profile + last interaction across all channels
`bump <name>`	Manually mark "I just talked to X" — resets last_contacted

Notion People schema (auto-created on first run)

Property	Type	Source
name	title	Apple Contacts
emails	multi-select	Apple Contacts
phones	multi-select	Apple Contacts
birthday	date	Apple Contacts (year may be missing)
relationship_strength	select: close, active, dormant, professional, family	Heuristic + manual
last_contacted	date	Computed from Gmail/Slack/iMessage/WhatsApp
last_topic	rich_text	Last 1-line subject from any channel
next_nudge_due	date	Computed: last_contacted + cadence_for(strength)
brand_context	multi-select: your brand/project codes	Inferred from email domains/threads
notes	rich_text	Manual

Cadences (configurable)

close — 14 days (partner, parents, closest friends)
active — 30 days (team, frequent collaborators)
professional — 60 days (clients, partners)
dormant — 180 days (warm but distant)
family — birthday + anniversary + monthly check-in

Sync logic

pc contacts fetch --format json — pull all Apple Contacts
For each contact: upsert into Notion People DB matched by email (primary) or phone
Walk last 30 days of Gmail/Slack/iMessage/WhatsApp threads to compute last_contacted
Compute next_nudge_due = last_contacted + cadence_for(relationship_strength)
Write a ledger entry: kind=nudge, brand=OPS, status=done

Behavior

First run will ask owner to confirm relationship_strength for top ~30 contacts
Subsequent runs are silent unless something new is inferred
Birthdays without years get treated as recurring annual; first detection asks owner to confirm before storing

Related skills

relations — the follow-up ledger and decision queue built on this directory
vip — priority tiers; a relationship_strength of close/family is a VIP candidate signal, but a tier is only ever set through the vip skill's audited CLI path
ops-inbox — consumes both when ranking a sweep

Ledger writes

bash
~/.claude-ops/bin/ledger claim --claim-key "people:sync:$(date +%F)" --kind nudge \
  --brand OPS --title "Apple Contacts → Notion sync" --source claude-ops
# ... sync ...
~/.claude-ops/bin/ledger resolve <id> --status done

Frequently asked questions

What does the People AI skill do?

OPS on-demand: This skill should be used when the user asks to "sync contacts", "people database", or…

Why use People on TypingMind?

Because you install it once and use it with any model. People is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install People in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Lifecycle-Innovations-Limited/claude-ops/tree/main/claude-ops/skills/people. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use People?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with People?

As many as you like. As long as a model supports skills, you can use People with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the People AI skill free?

Yes. It is published on GitHub by Lifecycle-Innovations-Limited under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Agent Builder

shareAI-lab

OrganizationPopular

Design and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AI system" (2) want to understand agent architecture, agentic patterns, or…

Changelog Generator

Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns…

Agent Authentication

Agent skill for authentication - invoke with $agent-authentication

Agent Tdd London Swarm

ruvnet

CommunityPopular

Agent skill for tdd-london-swarm - invoke with $agent-tdd-london-swarm

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

/ops:people

Subcommands

Notion People schema (auto-created on first run)

Cadences (configurable)

Sync logic

Behavior

Related skills

Ledger writes

Frequently asked questions

Related AI Skills

Set up your own AI workspace now