Teammate Skill
FreemiumDistill a teammate's expertise into an evolving AI Skill for any agent.
By Tanmay Verma, Founder · Last verified 05 Jul 2026
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Added 4d ago
77/100Safe BetIn short
Teammate Skill — Distill a teammate's expertise into an evolving 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. Free to start; paid plans from $2916.6/mo.
Is Teammate Skill actually worth it?
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Editorial Verdict
Best for
Senior engineers scaling their expertise across the team without writing docsTech leads onboarding junior developers faster with encoded decision logicSolo power users building a personal AI assistant that mirrors their workflowTeams automating repetitive decisions without losing institutional knowledgeConsultants embedding their specialized process into client-facing agents
Not ideal for
Teams that prefer fully manual, no-AI workflowsUsers uncomfortable sharing communication data even with privacy assurancesOrganizations that need on-premise-only deployment (hosted by MyClaw only)Non-technical users expecting a visual no-code builder (API/skill-centric setup)
Teammate Skill solves the 'cold start' problem for AI agents by encoding human expertise into a living, evolving Skill. The 5-layer persona is novel and captures decision-making style, not just facts. However, you must share communication data from Slack, Teams, and GitHub, and the Skill only works within the AgentSkills ecosystem. If your team already runs AI agents (Hermes, Claude Code, OpenClaw), expect a big ramp-up speed gain. For manual-first teams or those requiring on-prem deployment, alternatives like custom GPTs or Copilot for Azure may be better.
Skip Teammate Skill if Skip Teammate Skill if your team is not already using an AgentSkills-compatible agent runtime (Hermes, Claude Code, OpenClaw, Codex) or if you cannot grant access to Slack/Teams/GitHub communication history.
Compare with: Teammate Skill vs Poolside AI, Teammate Skill vs Zhipu GLM, Teammate Skill vs MetaGPT
Last verified: July 2026
What's new in Teammate Skill
Checked 3 days agoAcross the latest 3 updates: 2 launches and 1 news mention.
LaunchBlog·5 days agoNewest
Hermes AI Agent Skills: What They Are and How to Use Them
Explains Hermes AI Agent skills, including creation and running with Teammate Skill, and reliability in always-on agents.
NewsBlog·10 days ago
GPT-5.6 Terra vs GPT-5.5: Price, Access, and Agent Use Cases
Comparison of GPT-5.6 Terra and GPT-5.5 covering pricing, access, and agent use cases — relevant for model selection with Teammate Skill.
LaunchBlog·12 days ago
Hermes AI Agent Skills: What They Are and How to Use Them
Guide to Hermes AI Agent skills, including creation, running, and reliability in always-on agents — confirms ongoing support for Teammate Skill.
Viability Score
77/100
Safe BetHow likely is Teammate Skill to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
80
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- Auto-collect data from Slack, Teams, GitHub
- Generate 5-layer Persona (values, communication, decision logic, domain expertise, work habits)
- Create Work Skill encoding task-specific know-how
- Continuous evolution as new data streams in
- 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
- Priority support on Pro, Max, Ultra plans
- Access from email, Telegram, WhatsApp, browser
- Integrates with Claude Code, OpenClaw, Hermes Agent, Codex
- Always-on agent runs on schedule (daily reports, monitoring)
About Teammate Skill
FreemiumIntermediateAPI availableWeb · API
Teammate Skill, by MyClaw.ai, captures a person's professional knowledge and working patterns from Slack, Teams, and GitHub, then distills them into an 'AgentSkill' that any compatible AI agent can use. Instead of starting from scratch, your agent inherits a teammate's context: a 5-layer persona (values, communication style, decision logic, domain expertise, work habits) plus a 'Work Skill' encoding task-specific know-how. This dramatically accelerates onboarding a new AI agent for a role. The Skill auto-evolves as new data streams in and is portable across AgentSkills-compatible runtimes like Hermes Agent, Claude Code, OpenClaw, and Codex. No manual prompt engineering is needed — the system infers persona and work patterns automatically. Teammate Skill is designed for teams that want to scale expertise without hiring more heads, and for solo power users building personal AI assistants that mirror their workflow.
Behind the Verdict
Teammate Skill is a genuine innovation in agent onboarding. The 5-layer persona structure (values, communication, decision logic, domain expertise, work habits) captures nuance that static knowledge bases miss. The 'Work Skill' encoding task-specific know-how automates what typically requires weeks of manual prompt engineering and documentation. Because it auto-evolves as new data flows in, the Skill stays fresh without maintenance. The integration with Hermes Agent, Claude Code, OpenClaw, and Codex (as per latest blog) makes it portable across agent runtimes. On the downside, auto-collection only supports Slack, Teams, and GitHub — email, Jira, and other sources aren't available yet. The quality of the generated Skill depends heavily on data volume; a teammate who rarely communicates may produce a shallow persona. Privacy is a significant concern: you must grant access to communication history, and there's no self-hosted option. Pricing starts at $29/mo ($16.6/mo yearly) for Lite, but AI token usage is billed separately, which can surprise. For solo developers or small teams already using MyClaw, the value is clear. For larger enterprises with strict compliance, the hosted-only model may be a blocker.
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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.
Tech lead onboarding a new junior developer
The tech lead connects their Slack, Teams, and GitHub accounts to Teammate Skill. The system generates a Skill encoding their code review patterns, architectural preferences, and decision logic.
Outcome: The new junior developer's AI agent loads the Skill and can now provide code review and architecture guidance that matches the tech lead's thinking, reducing onboarding time from weeks to days.
Support team manager wanting consistent responses
The manager distills the expertise of their top support lead into a Teammate Skill, then applies it to all support agents handling first-line queries.
Outcome: All customer responses now match the lead's tone, decision logic, and problem-solving approach, improving consistency and reducing escalations.
Solo freelance developer automating personal tasks
The developer creates a Skill from their own GitHub activity and Slack conversations. Their Hermes Agent uses it to triage emails, review pull requests, and generate project documentation in their personal style.
Outcome: The agent handles 70% of routine tasks autonomously, freeing the developer to focus on high-value work.
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
GPT-5.6 TerraGPT-5.5Hermes AgentClaude CodeOpenClawCodex
as of 2026-07-05
Limitations
- Teammate Skill currently requires a MyClaw.ai account and hosted agent to function — there is no self-hosted option.
- The quality of the generated Skill depends heavily on the volume and consistency of the input data; a teammate who rarely communicates may produce a shallow persona.
- Auto-collection only supports Slack, Teams, and GitHub; other sources like email or Jira are not yet available.
- The Skill is not exportable to non-AgentSkills platforms, limiting interoperability.
- AI token usage is billed separately on top of the subscription, so costs can grow with heavy use.
as of 2026-07-05
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
$348
Over 12 months
Effective monthly
$29
Billed monthly
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
$29/mo ($16.6/mo yearly)
Ideal for
Solo developer or freelancer experimenting with AI agent skills for personal projects, needing basic 2 vCPU / 4 GB RAM.
What this tier adds
Starting tier: includes zero-setup, personal AI assistant, 2 vCPU, 4 GB RAM, 40 GB SSD, daily backups, no priority support.
Pro
$59/mo ($33.3/mo yearly)
Ideal for
Power user who relies on AI daily and needs priority support, 4 vCPU, 8 GB RAM, 80 GB SSD.
What this tier adds
Adds priority support, doubles vCPU and RAM vs Lite, and doubles storage.
Max
$119/mo ($66.6/mo yearly)
Ideal for
Team using AI for heavy workloads requiring 8 vCPU, 16 GB RAM, 160 GB SSD.
What this tier adds
Doubles vCPU and RAM vs Pro, and adds high-performance guaranteed resources? Actually high-performance guaranteed is only in Ultra. Max adds double storage and CPU/RAM over Pro.
Ultra
$239/mo ($133.3+/mo yearly)
Ideal for
Enterprise team with demanding workloads requiring 16~64 vCPU, 32~128 GB RAM, 320~1280 GB SSD and guaranteed high performance.
What this tier adds
Adds high-performance guaranteed resources, scalable vCPU/RAM/storage ranges, and priority support (already in Pro).
Integrations
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 $29/mo (Lite) for personal projects, up to $239/mo (Ultra) for heavy workloads. Compared to a custom GPT or Copilot subscription ($20–$30/mo with limited skill portability), Teammate Skill is pricier but offers always-on hosting, auto-evolving skills, and cross-agent portability. For teams already on MyClaw, it's a natural add-on; standalone, it competes with generic knowledge base tools like Notion AI — but MyClaw's agent focus justifies the premium.
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.
Tech leads can get a basic Skill running in about 30 minutes: connect Slack/Teams/GitHub, let the system process data (usually under 10 minutes), and deploy the skill to an agent. The Skill auto-evolves, so fine-tuning happens over days as more data flows in.
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.
Migrating in
- →From static prompt libraries: Export your existing prompts as memory files (Markdown), then use MyClaw's import tool to seed the Skill, though the auto-inference will rebuild from scratch.
Migrating out
- ↗To another AgentSkills runtime: Export the Skill as an AgentSkills package (documented on MyClaw blog) and load it into Hermes Agent, Claude Code, OpenClaw, or Codex.
- ↗To manual documentation: The Skill's persona and work patterns can be exported as a Markdown document for human reference, though the inference format is proprietary.
Resources & Guides
Frequently Asked Questions
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