Claude Code: AI Agent Workflow Collection

Expert at analyzing the quality and effectiveness of Claude Code components (agents, skills, commands, hooks). Assumes component is already technically valid. Evaluates description clarity, tool permissions, auto-invoke triggers, security, and usability to provide quality scores and improvement suggestions.

Expert at creating and modifying Claude Code agents (subagents).

Expert at creating and modifying Claude Code slash commands. Auto-invokes when the user wants to create, update, modify, enhance, validate, or standardize slash commands, or when modifying command YAML frontmatter fields (especially 'model', 'allowed-tools', 'description'), needs help designing command workflows, or wants to understand command arguments and parameters. Also auto-invokes proactively when Claude is about to write command files (/commands/.md), or implement tasks that involve creating slash command components.

Expert at creating and modifying Claude Code event hooks for automation and policy enforcement. Auto-invokes when the user wants to create, update, modify, enhance, validate, or standardize hooks, or when modifying hooks.json configuration, needs help with event-driven automation, or wants to understand hook patterns. Also auto-invokes proactively when Claude is about to write hooks.json files, or implement tasks that involve creating event hook configurations.

Guides creation of high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools.

Expert at creating and modifying Claude Code skills. Auto-invokes when the user wants to create, update, modify, enhance, validate, or standardize skills, or when modifying skill YAML frontmatter fields (especially 'allowed-tools', 'description'), needs help designing skill architecture, or wants to understand when to use skills vs agents. Also auto-invokes proactively when Claude is about to write skill files (/skills//SKILL.md), create skill directory structures, or implement tasks that involve creating skill components.

Use when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command…

Manages connections to Logseq graphs via HTTP API, CLI, or MCP Server. Auto-invokes when users mention connecting to Logseq, API tokens, graph paths, connection issues, or backend configuration. Handles backend detection, environment setup, and connectivity troubleshooting.

Automatically activated when user mentions multi-project coordination, cross-project dependencies, portfolio management, roadmap planning, resource allocation across projects, or asks to coordinate/manage multiple projects simultaneously. Provides strategic project coordination expertise.

Expert at creating continuous improvement feedback loops for Claude's responses. Use when establishing self-improvement processes, tracking progress over time, or implementing iterative refinement workflows.

Issue creation expertise and convention enforcement. Auto-invokes when creating issues, writing issue descriptions, asking about issue best practices, or needing help with issue titles. Validates naming conventions, suggests labels, and ensures proper metadata.

Expert at performing task X automatically. Auto-invokes when the user wants to do Y, needs help with Z, or encounters situation W.

Expert at automatically applying improvements to Claude Code components based on quality analysis. Enhances descriptions, optimizes tool permissions, strengthens security, and improves usability. Works in conjunction with analyzing-component-quality skill.

Automatically activated when user asks how something works, wants to understand unfamiliar code, needs to explore a new codebase, or asks questions like "where is X…

Automatically activated when user works with Jest tests, mentions Jest configuration, asks about Jest matchers/mocks, or has files matching .test.js, .test.ts, jest.config.. Provides Jest-specific expertise for testing React, Node.js, and JavaScript applications. Also applies to Vitest due to API compatibility. Does NOT handle general quality analysis - use analyzing-test-quality for that.

Investigates and creates Git branches. Triggered when: branch status check, new branch creation, branch-related errors.

Git commit quality and conventional commits expertise with automatic issue tracking integration. Auto-invokes when the user explicitly asks about commit message format, commit quality, conventional commits, commit history analysis, issue references in commits, or requests help writing commit messages. Integrates with the issue cache for automatic issue references.

Expert at managing GitHub issue relationships including parent/sub-issues, blocking dependencies, and tracking links using the GraphQL API. Auto-invokes when creating issue hierarchies, setting parent-child relationships, managing dependencies, or linking related issues.

Git worktree management expertise for parallel development. Auto-invokes when worktrees, parallel development, multiple branches simultaneously, or isolated development environments are mentioned. Handles worktree creation, listing, and cleanup.

GitHub label and milestone management expertise. Auto-invokes when labels, milestones, taxonomies, issue organization, sprint planning, or phase tracking are mentioned. Handles label CRUD, bulk operations, milestone creation/tracking/progress, and issue grouping for releases and sprints.

Automatically activated when user mentions sprint planning, backlog refinement, iteration planning, sprint goals, capacity planning, velocity tracking, or asks to plan/start/close a sprint. Provides comprehensive sprint planning expertise using agile best practices.

Use when the user asks about "plugin settings", "store plugin configuration", "user-configurable plugin", ".local.md files", "plugin state files",…

Expert in building Datalog queries for Logseq DB graphs. Auto-invokes when users need help writing Logseq queries, understanding Datalog syntax, optimizing query performance, or working with the Datascript query engine. Covers advanced query patterns, pull syntax, aggregations, and DB-specific query techniques.

Expert in reading data from Logseq DB graphs via HTTP API or CLI. Auto-invokes when users want to fetch pages, blocks, or properties from Logseq, execute Datalog queries against their graph, search content, or retrieve backlinks and relationships. Provides the logseq-client library for operations.