Productivity Tools
Boost efficiency with task automation and organizers.
data-engineer
Build ETL pipelines, data warehouses, and streaming architectures. Use for data pipeline design or analytics infrastructure.
behavior-log
Insert or read behavior log rows in the local database (behavior_logs). Use when recording a good/bad behavior entry, attaching a Pavlok API response JSON, adding a coach comment, or fetching recent logs via scripts/behavior_log.py.
ui-automation-workflows
Accessibility-first UI automation using IDB. Query accessibility tree (fast, 50 tokens) before screenshots (slow, 170 tokens). Use when automating simulator interactions, tapping UI elements, finding buttons, or testing user flows. Covers idb-ui-describe, idb-ui-tap, idb-ui-find-element patterns.
taskstoissues
Convert user stories to GitHub issues. Use when ready to create issues. Triggers on: create github issues, export to github, generate issues.
relentless
Convert PRDs to prd.json format for the Relentless autonomous agent system. Use when you have an existing PRD and need to convert it to Relentless JSON format. Triggers on: convert this prd, turn this into relentless format, create prd.json from this, relentless json.
multi-mind
Multi-specialist collaborative analysis for complex decisions. Spawns parallel subagents with diverse domain expertise to analyze a topic from multiple angles. Use when user says "multi-mind", or for complex architecture decisions, technology choices, strategic planning, or any multi-faceted problem with no obvious right answer.
mcp-local-rag
Provides score interpretation (< 0.3 good, > 0.5 skip), query optimization, and source naming for query_documents, ingest_file, ingest_data tools. Use this skill when working with RAG, searching documents, ingesting files, saving web content, or handling PDF, HTML, DOCX, TXT, Markdown.
bmad-discovery-research
Brainstorms ideas and researches projects.
main-workflow-router
Routes work to OpenSpec (L0-1) or BMAD (L2-4). Tracks status and guides through phases.
langchain4j-tool-function-calling-patterns
Tool and function calling patterns with LangChain4j. Define tools, handle function calls, and integrate with LLM agents. Use when building agentic applications that interact with tools.
creating-agents
Creates GitHub Copilot custom agents as specialized personas with controlled tools and handoffs. Use when building role-based workflows (planner, reviewer, architect) or guided multi-agent sequences.
creating-prompts
Creates VS Code Copilot reusable prompts for on-demand workflows. Use when building repeatable tasks users trigger manually - can be simple templates or complex multi-step processes.
act-workflow-syntax
Use when creating or modifying GitHub Actions workflow files. Provides guidance on workflow syntax, triggers, jobs, steps, and expressions for creating valid GitHub Actions workflows that can be tested locally with act.
gitlab-ci-pipeline-configuration
Use when configuring GitLab CI/CD pipelines, defining stages, or setting up workflow rules. Covers pipeline structure, stage ordering, and execution flow.
code-annotation-patterns
Use when annotating code with structured metadata, tags, and markers for AI-assisted development workflows. Covers annotation formats, semantic tags, and integration with development tools.
serena-usage
This skill should be used when the user asks to "use serena", "semantic search", "symbol analysis", "find references", "code navigation", or needs Serena MCP guidance. Provides Serena tool usage patterns.
rnow-tools
Write tool functions for ReinforceNow agent training. Use when creating @tool decorated functions, writing tools.py, defining function calling tools, or sandbox tools. Triggers on "@tool", "tools.py", "tool function", "function calling", "agent tools".
