16 Out-of-the-Box Tego Template Skills: IT Ops + Cross-Border E-commerce, Productive Day One

For a digital avatar to "do work right away," the bottleneck has never been the model — it's the absence of a ready-made skill library.

Why "16 out-of-the-box skills"

Over the past year we've heard the same family of questions from many customers:

• "What can a Tego digital avatar actually do?"
• "How long would it take us to build a skill library from scratch?"
• "Can you give us a working starting kit?"

The real bottleneck of digital avatars is never model capability; it's:

1. Mapping scenario → skills requires domain expertise — workflows differ wildly across industries, hard to abstract into universal skills;
2. Executable scripts have to actually run — "prompt templates" don't count; skills must include tool calls, state machines and rollback;
3. Skills must integrate with the avatar's runtime — they need access to memory, MCP, and metric reporting into BusinessMonitor.

v3.0.0 answers all of that at once: 16 Tego template skills across two of the highest-frequency industry chains: IT operations and cross-border e-commerce.

IT operations: 11 skills, end-to-end loop

flowchart LR
  T[ticket-handler] --> I[incident-triage]
  I --> A[auto-remediation]
  S[system-monitor] -.alerts.-> I
  D[infra-documenter] -.topology.-> I
  P[patch-manager] -.CVE patches.-> A
  A --> SLA[sla-reporter]
  T --> SLA

1. ticket-handler — full ticket lifecycle

Intake, classification, priority, routing, SLA tracking. Difference vs. classic ticketing: the avatar can decide priority based on context, route to the right expert group (or self-heal skill) automatically, and trigger SLA accounting.

2. incident-triage — fast diagnosis

Log analysis, metric correlation, runbook matching. Combined with system-monitor alerts, it can produce "most likely root cause + recommended runbook" within 30 seconds.

3. auto-remediation — automatic fixes

Service restart, disk cleanup, cache flush — with dry-run. All fixes default to dry-run output for admin approval; high-frequency low-risk actions can be configured for auto-execution.

4. system-monitor — proactive health monitoring

Connectivity, resources, alert tiers. Pulls scattered zabbix / prometheus / cloud-monitor metrics into the avatar's working memory so it has a "global view."

5. infra-documenter — automated infrastructure docs

Discovery, inventory, topology, change tracking. Turns "docs lag reality by 6 months" into "docs update themselves daily."

6. patch-manager — vulnerability & patch lifecycle

CVE matching, risk assessment, rollback plan. The avatar identifies "this machine needs this patch" and generates the rollback plan.

7. sla-reporter — SLA compliance reporting

Availability, MTTR, trend analysis. Combined with BusinessMonitor's workflow panel, exports an SLA monthly report in one click.

8–11. Supporting engineering skills

Including but not limited to change review, release gating, capacity planning, and security audit assistants.

An IT-assistant avatar can run end-to-end: intake → triage → routing → self-healing → SLA reporting. No need to build from scratch.

Cross-border e-commerce: 5+ skills, full loop

flowchart LR
  M[market-scout] --> C[competitor-intel]
  C --> L[listing-forge]
  L --> Img[image-studio]
  L --> V[video-maker]
  Voice[voice-miner] -.real pain points.-> L
  L --> R[review-shield]
  L --> Site[site-cloner]
  L --> LA[locale-adapt]

1. market-scout — market research

Cross-validates Amazon Best Sellers / Google Trends / TikTok to distinguish "real heat" from "short-term spike."

2. competitor-intel — competitor analysis

Scrape & analyze reviews, identify weaknesses, generate attack strategies. Compresses a week of traditional ops research into 30 minutes.

3. listing-forge — listing copywriting

Pulls competitor weaknesses from the avatar's memory and writes SEO-optimized listings. Key difference: not "fill in a template" — the avatar remembers the store's, category's and market's history.

4. image-studio — hero / scene images

White-background, compliance-checked, AI-generated.

5. video-maker — 15-second UGC short videos

Optimized for TikTok / Reels.

6. voice-miner — user pain-point mining

Reddit / forum mining for real user pain points; feeds back into listings and product iteration.

7. review-shield — negative-review classification & compliant replies

Classification + auto-reply + escalation. The ops director sets compliance bounds (e.g., "no refund promises"), the avatar answers within them.

8. site-cloner — competitor landing-page structure cloning

Extracts structure (not content) from competitor pages into reusable skeletons.

9. locale-adapt — multi-market localization

Cultural adaptation, local keywords, market-specific SEO. Combined with per_user, every store and every market has its own runtime context — memories don't leak.

A cross-border e-commerce avatar can run product discovery → competitor intel → listing → hero image / video → negative-review handling → multi-market localization end-to-end.

Integration with the rest of v3.0.0

These 16 skills are not stacked independently — they deeply depend on v3.0.0's underlying capabilities:

With per_user

• IT ops: every IT colleague using the "IT assistant" avatar has their own runtime — ticket context, runbook preferences, change records;
• Cross-border ops: every store account has its own runtime in the "ops" avatar — competitor intel, brand glossary, listing history don't leak.

With 3-layer S3 + single authority

• The skills themselves (SKILL.md, scripts/, configs) live under template/*, governed centrally;
• User-generated workspace data (drafts, generated images, scratch tables) lives under per-user/<userId>/...;
• Upgrading a skill only updates the template; all user instances pull on next launch with no conflicts.

With BusinessMonitor

• Skill effectiveness panel shows call frequency, average success rate, top failure reasons for all 16;
• Workflow panel shows FCR and auto-flow rates for the ticket-handler → incident-triage → auto-remediation chain;
• Tasks panel shows live load on heavier skills like auto-remediation / image-studio.

Recommended rollout cadence

If you're just putting an avatar into production, we recommend:

1. Week 1 — 1 avatar, 1 skill, 5 users (small canary);
2. Week 2 — 3–5 skills, 20 users, enable per_user;
3. Week 3 — wire up BusinessMonitor; let IT / ops leads start watching numbers;
4. Week 4 — let BusinessMonitor's skill-effectiveness panel decide which skills to add next.

Don't install all 16 on day one. Avatar runs in real business → produces data → produces feedback → install new skills is the fastest path.

Engineering takeaway

"16 out-of-the-box skills" looks like a number; underneath it's v3.0.0's delivery-side promise:

• No more 2–3 months building skills from scratch;
• Every skill has executable scripts that can call tools, write files, hit APIs;
• Every skill integrates with per_user / template governance / BusinessMonitor and can drop into real business flows;
• The skill library will keep expanding — customers are welcome to contribute back industry know-how as new templates.

The skill library is the most critical step in moving digital avatars from "they can chat" to "they can do work."