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Found 11,249 Skills
Practical application guide for HUMMBL's 6 transformations (Perspective, Inversion, Composition, Decomposition, Recursion, Meta-Systems). Includes when to use each transformation, combination patterns, analysis templates, output formats, real-world examples, and common pitfalls. Essential for applying mental models effectively in problem-solving and analysis.
Template-driven workflow coordinator with minimal state tracking. Executes command chains from workflow templates OR unified PromptTemplate workflows. Supports slash-command and DAG-based execution. Triggers on "flow-coordinator", "workflow template", "orchestrate".
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Initialize projects with AI Dev Flow framework using domain-aware setup
Use when creating commits, pull requests, releases, or tags. Triggers on「帮我提交」「commit」「提交代码」「创建 PR」「发布版本」「打 tag」「写 commit message」「推代码」
Operate the local-first `track` issue workflow from request intake to completion using the CLI. Use this when users ask to list issues, pick a numbered item from `track list`, inspect details with `track show`, update status/priority/labels, or move an issue into active work while keeping progress visible in the tracker.
Visual flowchart and diagram planning tool. Claude writes structured JSON to a .flowi/ directory, which renders as interactive, editable diagrams in the browser. Use for architecture planning, user flows, system design, state machines, and UI mockups.
Run a generic Vast.ai API lifecycle from offer search to teardown with safety checks and reproducible request steps. Use when users need to list/filter offers, create instances, attach SSH keys, poll readiness, stop/destroy instances, or inspect billing/usage, and when required runtime fields (image, instance type, API key source) should be collected in dialog with default suggestions.
Expert system for designing and architecting AI agent workflows based on proven Meta methodologies. Use when users need to build AI agents, create agent workflows, solve problems using agentic systems, integrate multiple tools into agent architectures, or need guidance on agent design patterns. Helps translate business problems into structured agent solutions with clear scope, tool integration, and multi-layer architecture planning.
Carmack-level plan review via RepoPrompt or Codex. Use when reviewing Flow epic specs or design docs. Triggers on /flow-next:plan-review.
Python DAG workflow orchestration using Apache Airflow for data pipelines, ETL processes, and scheduled task automation
Manage .flow/ tasks and epics. Triggers: 'show me my tasks', 'list epics', 'what tasks are there', 'add a task', 'create task', 'what's ready', 'task status', 'show fn-1-add-oauth'. NOT for /flow-next:plan or /flow-next:work.