Teammate Skill
Turn a teammate's expertise into a reusable AI Skill for any agent.
Teammate Skill is the fastest way to encode a human's working style into an agent that runs 24/7 — the 5-layer persona plus Work Skill is genuinely clever. It auto-collects from Slack, Teams, and GitHub, so the Skill reflects real behavior, not just stated preferences. But it's only as good as your communication data reveals, and it won't leave the MyClaw/AgentSkills orbit. If you live there, it's a winner; otherwise, look at broader agent memory tools like MindStudio or custom GPTs first.
Verified 3d ago · liveness 73/100 · cite: rightaichoice.com/tools/teammate-skill
- Senior engineers scaling their expertise across the team without writing docs
- Tech leads onboarding junior developers faster with encoded decision logic
- Solo power users building a personal AI assistant that mirrors their workflow
- Teams automating repetitive decisions without losing institutional knowledge
- Teams that prefer fully manual, no-AI workflows
- Users uncomfortable sharing communication data even with privacy assurances
- Organizations that need on-premise-only deployment (hosted by MyClaw only)
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Skip Teammate Skill if you need a general-purpose AI agent, prefer on-premise deployment, or aren't willing to let the tool analyze your team's Slack, Teams, and GitHub data to build the Skill.
AI token usage isn't included in the subscription, so heavy agent use adds variable costs beyond the monthly plan.
Teammate Skill pricing starts at $16.6/mo (yearly) for Lite, which is competitive for managed AI hosting vs DIY cloud setups. For teams needing more resources, Pro at $33.3/mo adds $100 AI credits and priority support. Annual billing saves up to 58%, making it a solid value for committed users. However, AI token usage is billed separately, so total costs can exceed the base plan for heavy use.
In short
Teammate Skill — Turn a teammate's expertise into a reusable AI Skill for any agent. Best for Senior engineers scaling their expertise across the team without writing docs, Tech leads onboarding junior developers faster with encoded decision logic, Solo power users building a personal AI assistant that mirrors their workflow. Plans from $16.629/mo.
What's new in Teammate Skill
Checked 3 days agoAcross the latest 4 updates: 4 news mentions.
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Viability Score
How well maintained and how widely used is Teammate Skill? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- 5-layer persona generation (values, communication style, decision logic, domain expertise, work habits)
- Work Skill encoding task-specific step-by-step know-how
- Auto-collect data from Slack, Microsoft Teams, GitHub
- Continuous evolution of Skill from new data streams
- Export Skill for AgentSkills-compatible agents (Hermes, Claude Code, OpenClaw, Codex)
- No manual prompt engineering required
- One-click deploy via MyClaw managed hosting
- 24/7 uptime for hosted agents
- Daily backups and encrypted storage
- Access from email, Telegram, WhatsApp, or browser
- Scheduled agent runs (daily reports, monitoring, inbox triage)
- Integrates with Claude Code, OpenClaw, Hermes Agent, Codex
- Fully private and encrypted data
- Auto-updates and zero maintenance
About Teammate Skill
Teammate Skill, built by MyClaw.ai, distills a person's working patterns into an AgentSkill that any compatible AI agent can inherit. It draws from data in Slack, Microsoft Teams, and GitHub to construct a detailed profile of how an expert actually operates — their values, communication style, and decision logic — alongside a Work Skill that encodes the step-by-step know-how of their day-to-day tasks. The result is an agent that already understands the context and instincts of a senior teammate without any manual prompt engineering. The Skill continuously evolves as new data flows in, keeping the agent aligned with shifting workflows and priorities over time. Teammate Skill plugs into the wider AgentSkills ecosystem, so the skills you build are portable across runtimes like Hermes Agent, OpenClaw, Claude Code, and Codex. That portability matters if your team uses different agents for different jobs: one Skill can ramp up a new hire's replacement in any of them. Hosting is handled entirely by MyClaw — one-click deploy, 24/7 uptime, daily backups, and updates happen behind the scenes, so you don't babysit infrastructure. You can reach the agent from email, Telegram, WhatsApp, or browser, and schedule it to run tasks like daily reports or inbox triage on a recurring basis. Under the hood, the system builds a 5-layer persona from your data, covering values, communication style, decision logic, domain expertise, and work habits. That structure is what lets the Skill feel like the person it's based on, not just a generic assistant. It's designed for teams that want to scale hard-won expertise without writing a single doc, and for solo power users who want a personal AI that mirrors their own workflow. Compared to hand-crafted prompt libraries or custom GPTs, Teammate Skill is less about configuration and more about capturing what's already there. The tradeoff is that it lives inside the MyClaw-managed, AgentSkills-compatible world — it's not a general-purpose agent.
Behind the Verdict
Teammate Skill stands out for its focus on capturing an individual's tacit knowledge — the instincts and judgment that rarely make it into documentation. The 5-layer persona (values, communication style, decision logic, domain expertise, work habits) is a thoughtful structure that gives the resulting agent a recognizable personality, not just a set of rules. Auto-collecting from Slack, Teams, and GitHub means the Skill builds itself from real-world interactions, and it keeps updating as new data arrives, so the agent stays aligned with evolving workflows. The portability across Hermes Agent, OpenClaw, Claude Code, and Codex is a real plus for teams using multiple agents. Hosting by MyClaw means zero DevOps: one-click deploy, 24/7 uptime, daily backups, and auto-updates. Access from email, Telegram, WhatsApp, or browser plus scheduled runs (daily reports, inbox triage) makes it practical for daily use. The main weakness: it's tightly coupled to the MyClaw ecosystem and AgentSkills format. If you want to use a different agent framework, you're out of luck. Also, the quality of the Skill depends entirely on the volume and consistency of your communication data — a quiet team or one that doesn't use Slack/Teams will get a thin persona. AI token usage is billed separately from the subscription, so heavy use can increase costs. For teams that can commit to the MyClaw world, it's a powerful way to preserve and scale expertise. For everyone else, evaluate general agent memory tools first.
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Real-world workflow fit
Concrete scenarios for the personas Teammate Skill actually fits — and what changes day-one when you adopt it.
A tech lead wants to give a junior dev's AI agent the same code review instincts as a senior engineer.
Outcome: Using Teammate Skill, the lead selects the senior engineer's Slack and GitHub data, generates a 5-layer persona, and deploys it to the junior's OpenClaw agent. The agent now flags similar style issues and suggests architectural preferences, accelerating the junior's ramp-up.
A support manager wants to automate responses that match the tone of their most experienced support lead.
Outcome: The manager creates a Skill from the lead's Slack messages and tickets, then deploys it to a Hermes Agent that handles incoming queries via email. The agent replies with the lead's communication style and decision logic, reducing response time while maintaining consistency.
A solo consultant wants to scale their process by giving clients an AI agent that embodies their consulting approach.
Outcome: The consultant builds a Skill from their past project notes and client communications, then hosts it on MyClaw. Clients interact with the agent via WhatsApp, get advice aligned with the consultant's framework, and the consultant can update the Skill as methods evolve.
Use Cases
- Onboard a junior engineer by giving their AI assistant a senior teammate's code review patterns and architectural preferences.
- Automate first-line support responses that match the tone and decision logic of your most experienced support lead.
- Create a consistent 'company voice' across multiple AI agents by distilling the CEO's communication style into a shared Skill.
- Let a DevOps engineer's troubleshooting know-how be used by an on-call agent that runs 24/7.
- Capture a departing expert's knowledge before they leave, making it available to the team permanently.
- Scale a solo consultant's expertise by embedding their process into client-facing agents.
Models Under the Hood
as of 2026-08-28
Limitations
- Teammate Skill requires a MyClaw.ai account and managed hosting; there is no self-hosted option indicated.
- The quality of the generated Skill depends on the volume and consistency of input data, as it auto-collects from Slack, Microsoft Teams, and GitHub.
- Services are billed with AI token usage separate from the subscription, so costs can grow with heavy use.
as of 2026-08-31
Verification history
We have re-verified Teammate Skill 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Teammate Skill tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Lite
$16.6/mo (yearly) / $29/mo (monthly)
Ideal for
Individual users or small projects just starting with AI agents, needing reliable hosting and a personal assistant without heavy resources.
What this tier adds
Entry tier with 2 vCPU, 4GB RAM, 3TB traffic, and full feature set; no priority support.
Pro
$33.3/mo (yearly) / $59/mo (monthly)
Ideal for
Power users who rely on AI daily and need extra compute plus $100 AI credits and priority support.
What this tier adds
Adds 4 vCPU/8GB RAM, 5TB traffic, $100 AI credits, and priority support over Lite.
Max
$66.6/mo (yearly) / $119/mo (monthly)
Ideal for
Teams with heavy workloads requiring more memory, storage, and $150 AI credits.
What this tier adds
Doubles specs to 8 vCPU/16GB RAM, 10TB traffic, and adds $150 AI credits.
Ultra
$133.3+/mo (yearly) / $239/mo (monthly)
Ideal for
Organizations running demanding workloads with guaranteed high-performance resources and scalability.
What this tier adds
Top tier with 16-64 vCPU, up to 128GB RAM, up to 1.28TB SSD, 20TB traffic, $200 AI credits, and guaranteed resources.
Where the pricing makes sense
The company stage and team size where Teammate Skill's pricing actually pencils out — and where peers do it cheaper.
Teammate Skill pricing starts at $16.6/mo (yearly) for Lite, which is competitive for managed AI hosting vs DIY cloud setups. For teams needing more resources, Pro at $33.3/mo adds $100 AI credits and priority support. Annual billing saves up to 58%, making it a solid value for committed users. However, AI token usage is billed separately, so total costs can exceed the base plan for heavy use.
Setup time & first value
How long it actually takes to get something useful out of Teammate Skill — broken out by persona, not the marketing-page minute.
For a tech lead: expect under 30 minutes to connect Slack/Teams/GitHub, generate a Skill, and deploy to an agent. Solo users can start in about 15 minutes by linking their data sources and using one-click deploy. Teams capturing a departing expert may need a few hours to curate data and verify the Skill's output.
Switching to or from Teammate Skill
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From custom GPTs: Export your GPT's instructions and knowledge, then use Teammate Skill's data sources to rebuild it as a living Skill that updates automatically.
- →From manual prompt libraries: Instead of maintaining static prompts, connect your Slack/Teams/GitHub data to auto-generate a Skill that adapts to your actual workflows.
- ↗To MindStudio: Export your Skill's underlying data and persona notes, then recreate the agent using MindStudio's visual builder for a more general-purpose platform.
- ↗To OpenAI GPTs: Manually translate the persona layers into GPT instructions and use custom actions to replicate key behaviors, though you'll lose automatic data collection.
Integrations
Resources & Guides
- Tutorialmyclaw.ai
Tutorial · Teammate Skill
Step-by-step walkthrough from myclaw.ai
- Learnmyclaw.ai
Learn · Teammate Skill
Educational content from myclaw.ai
- Resourcemyclaw.ai
Blog · Teammate Skill
Helpful link from myclaw.ai
- Resourcemyclaw.ai
Resources · Teammate Skill
Helpful link from myclaw.ai
- Resourcemyclaw.ai
Support · Teammate Skill
Helpful link from myclaw.ai
Tutorials & Learning
Official links
Tools that pair well with Teammate Skill
Common stack mates teams adopt alongside Teammate Skill, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Teammate Skill vs Locus Robotics
Teammate Skill and Locus Robotics solve entirely different problems. Choose Teammate Skill if you want to encode human expertise into AI agents for knowledge tasks; choose Locus Robotics if you need physical robots to automate warehouse fulfillment. There is no overlap, so your decision rests on whether your need is digital or physical.
Teammate Skill vs Presto Voice
If your need is scaling institutional knowledge across a tech team, Teammate Skill is a no-brainer with freemium pricing and deep Slack/GitHub integration. But if you run a QSR chain and want to boost drive-thru revenue via voice AI, Presto Voice is the only fit—backed by recent Dairy Queen adoption and proven upsell metrics. Choose based on domain: knowledge automation vs. quick-service voice ordering.
Teammate Skill vs Truleo
These tools are not competitors — they serve entirely different domains. Choose Teammate Skill if you're a software team wanting to encode senior engineers' expertise into reusable AI skills. Choose Truleo if you're a law enforcement agency needing to connect siloed data (RMS, jail calls, BWCs) into actionable leads. There is no overlap; base your decision purely on your industry and problem.
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