L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Productivité · SKILL.md

tutorial-guide-capabilities

tutorial-guide-capabilities

Nested tutorial-guide reference for lesson 9: avatars, network exercises, and dynamic capability demonstrations.

Independent GitHub snapshot · Automated classification · Original documentation governs

Llingtai-ai / lingtaiApache-2.0

Documentation de la Skill

GitHub

name: tutorial-guide-capabilities description: > Nested tutorial-guide reference for lesson 9: avatars, network exercises, and dynamic capability demonstrations. version: 1.0.0 last_changed_at: "2026-07-18T00:00:00Z" maintenance: "If you find stale or incorrect information here, use the lingtai-issue-report skill to assemble evidence and obtain per-issue human consent before filing an issue. Never include secrets, credentials, tokens, or private paths."

Tutorial Guide — Capabilities Lesson

Nested tutorial-guide reference for capabilities lesson 9, reached from the root tutorial-guide router. Teach live per the router's discover, don't recite rule: read the real file or run the real command before explaining it.

Lesson 9: Capabilities

Capabilities are pluggable tools declared in init.json.

Part 1: Avatar — the crown jewel

Walk through a full network explosion exercise:

  1. Spawn 3 avatars with distinct names/personalities
  2. Invite human to check /kanban and /viz
  3. Chain spawn — ask each avatar to spawn 2 more
  4. Cross-network email storm — have all avatars introduce themselves
  5. Watch it get out of control — this is the teaching moment about exponential growth
  6. Emergency brake — /suspend all to kill the entire network
  7. Show delegates/ledger.jsonl

Part 2: All other capabilities

Discover your capabilities dynamically — use system(show) to list your actual loaded capabilities. Walk through each one you find, one at a time. For each:

  1. Explain what it does
  2. Demonstrate it live
  3. Invite the human to try

Do not rely on a hardcoded list — your capabilities depend on what was configured in init.json.

Skills enregistrées