meta-eval

SKILLFlusso di lavorocommunity
v0.0.0agentscope-aiApache-2.0Aggiornato 2 mesi faFonte →

Use when the user wants to build an evaluation system for an LLM/agent application but doesn't know where to start — they have traces, prompts, RAG pipelines, or nothing at all. Also use when the user mentions evaluation, eval, benchmarking, testing LLM quality, measuring agent performance, assessin

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
789Stelle del repo
1Client
1Formati
2 mesi faUltimo aggiornamento
Skill
Autoreagentscope-ai
Versione0.0.0
LicenzaApache-2.0
CategoriaFlusso di lavoro
Formatiskill.md
PromptApri (vedi la scheda Prompt)
Compatibilità
Claude✓ Supportato
Cursor—
Copilot—
ChatGPT—
Gemini—
Descrizione

Use when the user wants to build an evaluation system for an LLM/agent application but doesn't know where to start — they have traces, prompts, RAG pipelines, or nothing at all. Also use when the user mentions evaluation, eval, benchmarking, testing LLM quality, measuring agent performance, assessing RAG accuracy, or wants to compare prompts/models. This skill is the entry router: it asks diagnost

Parole chiave
skillclaude

Nessuna copertura delle dipendenze

Questa voce non pubblica alcun pacchetto npm, quindi Forge non ha un albero delle dipendenze per essa. È una lacuna di copertura, non l'affermazione che non abbia dipendenze.