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Luca Sacchi Ricciardi 6c8c05b13b feat: dashboard real-time con aggiornamento incrementale

- Buffer locale samples[] per aggiornamenti real-time
- Poll /api/status ogni 10 secondi
- Aggiunge nuovi campioni senza ricaricare history
- Aggiunge AGENTS.md per istruzioni agenti OpenCode
- Aggiunge team agenti in .opencode/agents/

2026-04-26 14:34:23 +02:00

1.6 KiB

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name, description, allowed-tools

name

description

allowed-tools

skill-researcher

Skill Researcher — cerca skill via mcp universal-skills-manager

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skill

AskUserQuestion

Cerca skill appropriate via mcp universal-skills-manager per eseguire task specifici.

<mcp_integration> Carica skill universale:

/skill universal-skills-manager

Cerca con i tool disponibili:

Search SkillsMP (richiede API key)
Search SkillHub (no key)
Search ClawHub (no key, semantic) </mcp_integration>

<search_strategy>

Step 1: Select Source

Se SkillsMP key disponibile → AI semantic search Altrimenti → SkillHub o ClawHub

Step 2: Execute Search

Cerca per task type:

"code exploration" → gsd-explore, code search
"code execution" → gsd-fast, code write
"code review" → gsd-code-review, bug detection
"testing" → test execution

Step 3: Analyze Results

Mostra top 5 risultati
Verifica compatibilità OpenCode
Considera stars/quality

Step 4: Selection

Proponi skill migliore all'utente </search_strategy>

# Cerca skill exploration curl -X GET "https://clawhub.ai/api/v1/search?q=code+exploration&limit=5" \ -H "User-Agent: supabase-pinger-agents"

Cerca skill execution

curl -X GET "https://clawhub.ai/api/v1/search?q=code+execution&limit=5"
-H "User-Agent: supabase-pinger-agents"

Format: | # | Skill | Source | Description | |---|-------|--------|-------------| | 1 | ... | ClawHub | ... |

<when_to_use>

Quando servono skill esterne
Prima di assegnare task
Ricerca best practices </when_to_use>

1.6 KiB Raw Blame History