caveman
claudeTalk like caveman. Cut filler. Keep technical details explicit.
22 skills · 1 command · 3 agents · hooks
MCP server and agent skills for the Truesight AI quality platform. Score inputs, build evaluations, analyze errors, and review results through natural language.
Plugin truesight from marketplace goodeye-labs-truesight in Goodeye-Labs/truesight-mcp-skills. Commands read from the repo's manifest — 1 month ago.
bootstrap-template-evaluationFastest route to a deployed live evaluation using a pre-built Truesight template. Use when the user wants a quick start without building judgment configs from scratch.
build-review-interfaceBuild a custom web interface for trace annotation and review. Use when users need a bespoke review surface for their workflow.
create-evaluationScope what quality should be measured, convert it into one or more actionable binary evaluations, deploy those evaluations through Truesight MCP, and generate a companion skill that applies them correctly. Use when a user wants to create new evals, quality checks, guardrails, or pass/fail criteria f
error-analysisSystematically identify and categorize failure modes in evaluated traces using Truesight datasets and error-analysis tools. Use when quality issues are unclear, after major pipeline changes, or when incidents indicate drift.
eval-auditAudit an existing evaluation workflow and produce severity-ranked findings with concrete next actions. Use when inheriting an eval setup, diagnosing quality regressions, or checking LLM evaluation process maturity.
evaluate-traceEvaluate one or more traces against an existing Truesight live evaluation. Use when a deployed live evaluation already exists and the user wants run outputs with optional handoff to review and promotion.
generate-synthetic-dataGenerate synthetic test data for LLM evaluations using dimension-based tuple expansion. Use when the user needs synthetic traces, test cases, eval datasets, or when create-evaluation needs synthetic fallback data.
review-and-promote-tracesJudge flagged trace outputs and promote judged items back to datasets. Use when an evaluation run requires human judgment or when review queue items need to be judged for promotion into the dataset.
truesight-workflowsOrchestrator for Truesight MCP skills. Use this when the user needs help choosing the right Truesight workflow or when intent is ambiguous across LLM evaluate, error analysis, review, templates, or evaluation creation.
truesightconnects to: https://api.truesight.goodeyelabs.com/mcp/
Talk like caveman. Cut filler. Keep technical details explicit.
22 skills · 1 command · 3 agents · hooks
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
tasteskill 2.5.1: professional company websites at the figma.com and x.ai level, with one section per screen, real photographs, real product UI, effects kept for tech and gaming pages, and a real-browser checker and finish gate.
1 skill
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your coding agent's context.
1 MCP server
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