clawgui-eval
Run ClawGUI-Eval benchmarks on GUI grounding models: check environment, run inference with progress monitoring, judge predictions, compute metrics, and report results.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Run ClawGUI-Eval benchmarks on GUI grounding models: check environment, run inference with progress monitoring, judge predictions, compute metrics, and report results.
Debugs logical errors and data discrepancies in Dataflow templates by launching jobs via Terraform and comparing source (e.g. Cloud SQL) vs destination (e.g. Spanner) data. Use ONLY when the pipeline launches and runs to completion (terminal state) but exhibits data discrepancies or logical issues. Do NOT use for debugging template startup/runtime crashes or staging/building new templates.
Functionally tests local Dataflow pipeline changes against the main branch using ephemeral GCP resources and gated approvals. Use ONLY when functionally testing one of these specific migration templates: gcs-spanner-dv, sourcedb-to-spanner, datastream-to-spanner, spanner-to-sourcedb. Skip entirely for other templates. Don't use for deploying templates to production or debugging a running production pipeline without testing.
Use when operating Chat2API Manager's management API for testing, including health checks, config snapshots, temporary API keys, model mappings, sessions, logs, and cleanup verification.
Use when running Chat2API provider and model matrix tests using live /v1/models discovery and management API attribution.
Use when validating Chat2API Manager proxy behavior across dialogue, tool calling, context, provider routing, request logs, and live client replay workflows.
Use when replaying sanitized client tool-calling fixtures against Chat2API with client-specific pass/fail rules.
审查者 Skill — 通过 CLI 工具审查子任务、评分、驳回返工
End-to-end testing and validation for LoRa Manager features. Use when performing automated E2E validation of LoRa Manager standalone mode, including starting/restarting the server, using Chrome DevTools MCP to interact with the web UI at http://127.0.0.1:8188/loras, and verifying frontend-to-backend functionality. Covers workflow validation, UI interaction testing, and integration testing between the standalone Python backend and the browser frontend.
Inspect ComfyUI LoRA Manager runtime configuration and local diagnostic state. Use when debugging LoRA Manager issues that require locating or reading settings.json, active library paths, model metadata JSON sidecars, recipe metadata JSON files, example image folders, SQLite caches, symlink maps, download history, aria2 state, or other cache files under the LoRA Manager user config directory.