Agent Skills: validate
Run PRISM quality checks - docs, links, and portability. Use before committing or when something looks broken.
ID: resolve-io/.prism/validate
Install this agent skill to your local
Skill Files
The files that make up validate.
Loading file tree…
More agent skills
- dyad:run-benchmarkRun the app-builder benchmark (benchmarks/app-builder) for one or more models — build the three apps through headless Dyad against neon-sim and the recording proxy, score them (Playwright CUJs + security probes + LLM judge), verify the wire ledger, and regenerate RESULTS.md and the scores page. Use this whenever the user asks to benchmark, bench, or eval a model, run it "at low/high effort", compare cost or scores of models on the apps, rerun a lost cell, or asks what a model scored. Also use it for follow-up questions about a run (why a checkpoint failed, how much it cost) — the procedures for diagnosing cells live here.
- add-model-providerAdd an AI model provider to LobeHub, including runtime integration, model cards, configuration, branding, documentation, and acceptance. Also use for provider documentation updates; adding models to an existing provider does not require a new provider integration.
- cellxgene-censusQuery the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene expression slices, Census summary counts, source H5AD URIs/downloads, embeddings, spatial Census data, or reference atlas comparisons across organisms, tissues, diseases, assays, and cell types. For analyzing your own local single-cell data use scanpy, anndata, or scvi-tools.
- update-llm-model-listAudit and update the supported LLM model list in assets.py against litellm's registry (models.litellm.ai). Use when adding new models, pruning outdated ones, or verifying the list is correct.
- memos-memory-guideUse the MemOS Local memory system to search and use the user's past conversations. Use this skill whenever the user refers to past chats, their own preferences or history, or when you need to answer from prior context. When auto-recall returns nothing (long or unclear user query), generate your own short search query and call memory_search. Available tools: memory_search, memory_get, memory_write_public, memory_share, memory_unshare, task_summary, skill_get, skill_search, skill_install, skill_publish, skill_unpublish, network_memory_detail, network_skill_pull, network_team_info, memory_timeline, memory_viewer.
- find-skillsHelps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.