All Skills

# Agent Workflow **Goal:** Create, edit, or validate BMAD agents following core standards. **Agent:** Agent Builder (Bond) **Module:** BMB --- ## Execution Select a sub-workflow based on user intent: | Trigger | Sub-workflow | Description | | --

Optimize for search engine visibility and ranking. Use when asked to "improve SEO", "optimize for search", "fix meta tags", "add structured data", "sitemap optimization", or "search engine optimization".

This skill should be used when the user asks "what did you learn", "show insights", "any patterns noticed", "what should I know", "background analysis", "what patterns", or wants to see Mira's background analysis and predictions.

Add Agent Swarm (Teams) support to Telegram. Each subagent gets its own bot identity in the group. Requires Telegram channel to be set up first (use /add-telegram). Triggers on "agent swarm", "agent teams telegram", "telegram swarm", "bot pool".

Use when the user asks about their personal data, Apple Notes, Reminders, Calendar, Contacts, Messages, Safari bookmarks or history, Voice Memos, or Granola meetings. Also use when the user references alto.index or alto-index data.

Use when the user wants to sync their local Tandem source with the plugin cache, or when plugin changes aren't taking effect mid-session.

This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.

Implements a persistence layer using SwiftData or CoreData following MVVM — models, repository abstraction, and testable in-memory setup. Use when user says "add CoreData", "set up SwiftData", "persist data", "save to database", "add a data model", "create Core Data entities", or "use SwiftData models".

Analyze finance text sentiment using FinBERT or LLM. Use when the user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets.

AI-powered web search, research, and reasoning via Perplexity

Parallel-agent code review for quality, security, dependencies, and docs. Use for reviews, audits, or quality assessments. Produces deduplicated severity-ranked report.

Automated daily monitoring and alert system for Amazon sellers. Tracks price changes, new competitors, BSR movements, review spikes, and stock-out signals. Designed for unattended agent automation with RED/YELLOW/GREEN alerts. Requires APICLAW_API_KEY.

Import a tasks.md into the coco tracker as an epic with dependencies, and create matching issues in the configured issue tracker.

Guide for setting up AI configuration in your application. Helps you choose between agent vs completion mode, select the right approach for your stack, and create AI Configs that make sense for your use case.

Deep competitor intelligence with Full Scan and Quick Check modes. Delivers competitor matrix, brand ranking, pricing map, 30-day trends, and tiered RED/YELLOW/GREEN alerts. Requires APICLAW_API_KEY.

Semantic search for finding code by meaning using natural language queries. Orchestrates semantic-search-reader (search/find-similar/list-projects) and semantic-search-indexer (index/reindex/status) agents. Use for understanding unfamiliar codebases, finding similar implementations, or locating functionality by description rather than exact keywords. (project)

Research agent for external documentation, best practices, and library APIs via MCP tools

Manufacturing-fokussierter Continuous Improvement Skill fuer fabrikIQ. Implementiert Lean Manufacturing Prinzipien (5 Whys, Ishikawa, PDCA) fuer systematische Problemloesung und Qualitaetsverbesserung. Aktivieren bei Bug-Analyse, Refactoring, Code Review, Production Incidents.

Use when creating or updating AGENTS.md files, .github/copilot-instructions.md, or other AI agent rule files, onboarding AI agents to a project, or standardizing agent documentation across repositories.

Produces prose that reads as authentically human by avoiding statistical patterns common to LLM output. Use when writing or editing prose, documentation, READMEs, PR descriptions, or any text where the output must not read like AI-generated content.

Create critical process briefs through challenging dialogue that exposes operational blind spots and stress-tests workflows. Use when user wants to map out business processes, operations, or workflows. Proactively finds gaps, exposes hidden complexity, identifies fragile points, and tests scalability. Creates structured process briefs in .ideas/[name]/process.md. Triggers include "how would this work operationally", "what's the process", "how do we deliver", or operational details questions.

Diagnose Discord configuration and connectivity issues. Use when user reports problems with Discord sync, connection errors, or wants to troubleshoot.

Document codebase as-is with thoughts directory for historical context

Expert guidance for TM1py Python package for IBM Planning Analytics (TM1). Master connection management, data operations (MDX, views, DataFrames), metadata CRUD, performance optimization, and best practices. Use when working with TM1py, IBM Planning Analytics API, or when user mentions TM1, Planning Analytics, TM1 REST API, MDX queries, cube operations, dimension management, or Python TM1 development.