data-labeling
claudeData labeling: annotation guidelines, platforms, inter-annotator agreement, active learning, weak supervision, and label error detection.
1 skill · 1 command · 1 agent
Optional LibreMLOps hooks: an ML project summary at session start, a confirmation prompt before Claude touches secrets files or runs commands that destroy data, models, or run history, and post-edit checks for empty writes and matching tests.
Plugin libre-mlops-hooks from marketplace libre-mlops in HermeticOrmus/LibreMLOps-Claude-Code. Commands read from the repo's manifest — 1 month ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
bash "${CLAUDE_PLUGIN_ROOT}/hooks/session-start.sh"
bash "${CLAUDE_PLUGIN_ROOT}/hooks/pre-tool-use.sh"
bash "${CLAUDE_PLUGIN_ROOT}/hooks/post-tool-use.sh"
Data labeling: annotation guidelines, platforms, inter-annotator agreement, active learning, weak supervision, and label error detection.
1 skill · 1 command · 1 agent
ML data pipelines: Apache Beam, Spark, dbt, orchestration, streaming features, validation, and backfills.
1 skill · 1 command · 1 agent
Data versioning: DVC, Delta Lake, lineage, dataset cards, and reproducible dataset splits.
1 skill · 1 command · 1 agent
Distributed training: DDP, FSDP, DeepSpeed ZeRO, model parallelism, mixed precision, and multi-node debugging.
1 skill · 1 command · 1 agent
Experiment tracking: MLflow, Weights & Biases, Neptune, ClearML, hyperparameter search, and run organization.
1 skill · 1 command · 1 agent
Feature engineering: feature stores, transformations, selection, time-series features, leakage checks, and drift.
1 skill · 1 command · 1 agent
Harness-native ECC operator layer - 71 agents, 314 skills, 98 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
200 skills · 98 commands · 71 agents · 1 MCP server · hooks
Comprehensive toolkit for developing Claude Code plugins. Includes 7 expert skills covering hooks, MCP integration, commands, agents, and best practices. AI-assisted plugin creation and validation.
7 skills · 1 command · 3 agents
CMEM Pro for the Claude app - hooks stream tool use to cmem.ai and inject observations into new sessions and agents
3 skills · 1 MCP server · hooks
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Headroom startup hooks for Claude Code and GitHub Copilot CLI.
hooks
AI memory system — mine projects and conversations into a searchable palace. 47 MCP tools, auto-save hooks, guided setup.
3 skills · 6 commands · 1 MCP server · hooks
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