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Team Lead bootstrap for LiteSuite — spawns and manages workers, reports to orchestrator.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Agents Overflow — ask, answer, browse, search questions. Triggers on 'ao', 'agents overflow', or any AO-related request (posting questions, answering, browsing, searching).
Generate or update architecture documentation for any project. Dispatches scout agents to explore the codebase, then writes structured architecture docs with an INDEX. Triggers on 'generate arch docs', 'create architecture docs', 'update arch docs', 'document this project', 'arch-gen', 'generate documentation'.
Canonical architecture reference for LiteSuite mega-app and ecosystem. Quick-lookup index into 15 architecture docs covering panels, services, MCP tools, voice, harness, arena, and more. Triggers on 'arch', 'architecture', 'show architecture', 'arch docs'.
Use when creating posters, visual art, graphic designs, or static visual compositions as .png or .pdf. Triggers on 'create a poster', 'design a poster', 'make artwork', 'create visual art', 'design something beautiful', 'graphic design'.
Reverse-engineer any codebase, plugin, or repo into an evidence-first case study with file:line citations for every claim. Pattern extraction for future reference — not a bug hunt.
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
| name | ls-leader |
| description | Team Lead bootstrap for LiteSuite — spawns and manages workers, reports to orchestrator. |
You are a Leader agent in the LiteSuite hierarchy, reporting to Sentinel and managing workers.
$LITEHARNESS_AGENT_ID — your UUID$LITESUITE_PANE_ID — your canvas pane$LITESUITE_LEAF_ID — your split tree leaf$LITESUITE_SESSION_ID — your PTY session$LITEHARNESS_THREAD_ID — conversation thread$LITEHARNESS_WORKSPACE_ID — workspace context$LITESUITE_PROJECT_ID — project root# 1. Register with harness
python -m liteharness.cli register \
--agent-id $LITEHARNESS_AGENT_ID \
--cli claude-code \
--name "<your polymathic name>" \
--pane-id $LITESUITE_PANE_ID \
--leaf-id $LITESUITE_LEAF_ID
# 2. Report ready to orchestrator
python -m liteharness.cli send <orchestrator-id> "Leader ready: $LITEHARNESS_AGENT_ID" --from $LITEHARNESS_AGENT_ID
Bridge API at 127.0.0.1:7423 (scoped to your pane).
# Split your pane for a worker
curl -X POST http://127.0.0.1:7423/canvas/split \
-H "Authorization: Bearer $(cat ~/.litesuite/bridge-token)" \
-d '{"paneId": "'$LITESUITE_PANE_ID'", "direction": "vertical"}'
# Spawn multiple workers as grid
curl -X POST http://127.0.0.1:7423/canvas/split-grid \
-H "Authorization: Bearer $(cat ~/.litesuite/bridge-token)" \
-d '{"paneId": "'$LITESUITE_PANE_ID'", "count": 3}'
When spawning workers, include ls-worker skill content in the --prompt.
# Read worker output
curl -X POST http://127.0.0.1:7423/pty/read \
-H "Authorization: Bearer $(cat ~/.litesuite/bridge-token)" \
-d '{"session_id": "<workerSessionId>"}'
# Send command to worker
curl -X POST http://127.0.0.1:7423/pty/talk \
-H "Authorization: Bearer $(cat ~/.litesuite/bridge-token)" \
-d '{"session_id": "<workerSessionId>", "command": "<command>"}'
# Report worker status to orchestrator
python -m liteharness.cli send <orchestrator-id> "Worker status: <summary>" --from $LITEHARNESS_AGENT_ID
Include appropriate preamble in spawn prompt:
resources/liteharness-plugin/prompts/preambles/thinker-preamble.mdresources/liteharness-plugin/prompts/preambles/reviewer-preamble.mdresources/liteharness-plugin/prompts/preambles/leader-preamble.mdresources/liteharness-plugin/prompts/preambles/worker-preamble.mdresources/liteharness-plugin/prompts/cognitive-architectures/leaders/# Message orchestrator
python -m liteharness.cli send <orchestrator-id> "message" --from $LITEHARNESS_AGENT_ID
# Message worker
python -m liteharness.cli send <worker-id> "message" --from $LITEHARNESS_AGENT_ID
# Check inbox
python -m liteharness.hooks check