telemetry
claudePlugin analytics: hooks $.telemetry's two events, so a plugin logs an event or marks a feature's use as a first-party row, sent in batches with the session's own credential.
Turn prompt-run and eval evidence into prioritized, verifiable actions
Plugin lightsage from marketplace lightsage-skills in lightsagehq/lightsage-skills. Commands read from the repo's manifest — 23 days ago.
from-eval-runs-to-actionsDiagnose Lightsage eval runs and completed results, then turn failure evidence and execution diagnostics into prioritized fixes and validation plans. Use for failed or regressed evals, recurring eval reviews, trace or tool-call investigation, and deciding what to change after an eval. Do not use to
from-prompt-runs-to-actionsAnalyze stored Lightsage prompt runs and turn visibility evidence into prioritized, verifiable actions. Use when a user asks what to do about brand mentions, recommendation position, sentiment, citations, answer-engine or coding-agent responses, or a recurring prompt-run review. Do not use for eval-
lightsage-cliOperate and troubleshoot Lightsage from a terminal, shell script, or CI workflow. Use only when the user explicitly asks for the `lightsage` CLI, command-line execution, scripting, or CI/CD. Do not use for outcome analysis that can be completed through a connected Lightsage MCP capability.
lightsageconnects to: https://mcp.lightsage.com/mcp
Plugin analytics: hooks $.telemetry's two events, so a plugin logs an event or marks a feature's use as a first-party row, sent in batches with the session's own credential.
Scaffold, validate, and publish new Claude Code plugins with proper structure
3 skills · 1 command · 1 agent
Install the "AAS Data Analytics & Business Intelligence" workflow plugin from Agentic Awesome Skills.
16 skills
Claude Code skill for creating and presenting Slidev slidedecks
1 skill
Manage the Carta CRM conversationally — search, add, update, and enrich investors, companies, contacts, deals, notes, and fundraisings via the Carta CRM MCP Server.
28 skills · hooks
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
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