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Project Status Tracking and Reporting
conductor-status
sickn33/antigravity-awesome-skills
164
This skill provides a comprehensive, actionable overview of the Conductor project's status. It aggregates information from project plans, active tracks, and detailed specifications to display overall progress, identify next critical tasks, and flag potential blockers. Use it when you need a high-level dashboard view of project health and required actions.
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Dashboard Layout Planner
dashboard-layout-planner
jeremylongshore/claude-code-plugins-plus-skills
352
Automates dashboard layout planning for data analytics tasks, guiding best practices, generating robust configs, and validating layouts for SQL-driven BI scenarios.
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Jira Automation Toolkit
jira-automation
davepoon/buildwithclaude
324
Automate Jira tasks through Composio’s Rube MCP connector, covering issue search, creation, edits, agile boards, comments, projects, and user roles while always querying latest tool schemas.
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Monitoring Kling AI Video Generation Jobs
klingai-job-monitoring
jeremylongshore/claude-code-plugins-plus-skills
211
This skill provides comprehensive monitoring and tracking for asynchronous video generation tasks using the Kling AI API. It supports polling single tasks, managing large batches of jobs, and detecting stalled or failed processes across multiple video endpoints. Ideal for developers building robust workflow dashboards, implementing reliable batch processing, or debugging long-running media generation pipelines.
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Klipfolio Automation Toolkit
klipfolio-automation
ComposioHQ/awesome-claude-skills
379
Automate Klipfolio workflows via Composio’s Rube MCP toolkit by discovering current tool schemas, ensuring active Klipfolio connections, and executing schema-compliant calls for dashboards or data tasks.
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KPI Dashboard Template
kpi-dashboard-template
jeremylongshore/claude-code-plugins-plus-skills
101
Automates KPI dashboard template tasks within enterprise workflows by offering guidance, best-practice patterns, production-ready code/configuration, and validation for compliance, governance, and integration scenarios.
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AI Agent Observability and Metrics Monitoring
lindy-observability
jeremylongshore/claude-code-plugins-plus-skills
54
This guide details how to implement comprehensive observability for AI agents. It covers monitoring key metrics such as task success rates, step failures, execution duration, and credit consumption. Use this when setting up performance dashboards, configuring real-time alerts (via webhooks/Prometheus), or tracking agent reliability over time.
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Tensorboard Visualizer Assistant
tensorboard-visualizer
jeremylongshore/claude-code-plugins-plus-skills
113
Assists with tensorboard visualizer tasks for ML training by guiding setup, best practices, and experiment tracking whenever tensorboard visualization is mentioned, producing production-ready configs and validated outputs.
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Codebase Onboarding Docs
codebase-onboarding
alirezarezvani/claude-skills
324
Analyzes a repository to surface architecture, configs, and tasks so engineers, leads, and contractors receive consistent onboarding documentation and setup guidance.
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Decision Logger For Board Minutes
decision-logger
alirezarezvani/claude-skills
101
A two-layer memory architecture designed for managing corporate board meeting decisions. It separates raw, unfiltered transcripts (Layer 1) from founder-approved, canonical decisions and action items (Layer 2). This system ensures historical accuracy, tracks overdue tasks via commands like /cs:review, and actively detects topic contradictions and conflicts to maintain governance integrity.
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Display AgentHub Session Status
status
alirezarezvani/claude-skills
466
The /hub:status command provides a comprehensive overview of an AgentHub session. It displays the current state of agent branches, commit counts, frontier status, and recent board updates. This is useful for monitoring ongoing collaborative AI tasks, allowing users to track progress and identify which agents are active or have completed their tasks.
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AgentHub Coordination Message Board
board
alirezarezvani/claude-skills
373
This module provides a centralized interface for the AgentHub message board. It allows multiple AI agents and the coordinator to communicate, track tasks, and log results through structured markdown posts across dedicated channels (Dispatch, Progress, Results). It is essential for monitoring complex multi-agent workflows and ensuring transparent collaboration and auditing.
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