Claude Skills by thedixitjain

Delegate coding tasks to user-configured DevSpace subagents.

Use when executing implementation plans with independent tasks in the current session

> 融合 superpowers 的 subagent 驱动工作流，将大型实现任务拆分为独立子任务， 委派给专门的 subagent 执行，主 agent 仅负责编排和质量把关。 增强现有 parallel-execution 和 wave-execution 的实际执行能力。

Execute plans via delegate_task subagents (2-stage review).

Use when executing implementation plans with independent tasks in the current session

Use when executing implementation plans with independent tasks in the current session

Delegated step runner over the HOTL execution state machine — delegates eligible steps to fresh subagents while the controller keeps governance, verification, and stop conditions.

Coordinate quota-aware parallel subagents for large, multi-file Antigravity tasks.

Use when a plan has parallel tasks and the harness supports dispatching subagents.

Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.

Autonomous orchestrator for manifest work items through the development lifecycle. Use when running egregore to process a backlog automatically.

Use this skill when the user wants to identify unused, near-zero-use, or stale skills/agents/commands in the plugin surface so they can be demoted or retired. Combines agent-dispatch telemetry (start-events only) with static reference scanning, classifies every surface item into Active / Investigate / Demote / Retire, and emits a Markdown report plus JSON sidecar. NEVER auto-deletes — surfaces candidates for human decision. Quarterly cadence. <example>Context: The plugin surface has grown and...

> Only to be triggered by explicit super-swarm-spark commands.

Use when diagnosing Superloopy doctor, install, wrapper, plugin cache, hook bootstrap, bundled agents, marketplace, Codex, Claude Code, stale-version, evidence-floor, or host-wiring health problems.

Use Superloopy's lightweight strict-evidence loop for Codex tasks that need durable progress, criteria, and artifact-backed completion.

Create workspaces, spawn agents, schedule automations, and manage Superset projects/tasks/hosts via the `superset` CLI. Use to orchestrate coding agents across devices from the terminal.

| Use when asked to design growth-optimized landing pages, activation funnel layouts, or experiment-friendly page structures. Examples: \"growth-optimized landing\", \"activation funnel layout\", \"A/B testable page\"

PLG motion design — free tier definition, activation sequence, expansion trigger points, viral mechanic assessment. Given a product, output the PLG architecture and make the calls. Use when asked to \"PLG strategy\", \"freemium model\", \"product-led growth plan\", \"self-serve motion\", \"how do we add a free tier\", \"upgrade triggers\", or \"viral loop design\".

Growth state reconnaissance — scan existing onboarding flows, acquisition channels, conversion funnels, and growth experiment logs to understand current growth state. Use when asked to \"what's our growth state\", \"audit the funnel\", \"what growth experiments have we run\", \"acquisition channel inventory\", or before designing new growth experiments.

Growth engineer — acquisition channels, activation funnels, retention playbooks, and PLG strategy.

Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows

Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows

Initialize a multi-agent swarm with anti-drift configuration. Use when starting a complex multi-file task that needs 3+ coordinated agents (feature implementation, refactor across modules, security audit). Skip for single-file edits or quick questions.

Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.

> Multi-agent swarm coordination for complex tasks. Use when: 3+ files need changes, new features, refactoring. Skip when: single file edits, simple fixes, documentation.

> Multi-agent swarm coordination for complex tasks. Uses hierarchical topology with specialized agents to break down and execute complex work across multiple files and modules. Use when: 3+ files need changes, new feature implementation, cross-module refactoring, API changes with tests, security-related changes, performance optimization across codebase, database schema changes. Skip when: single file edits, simple bug fixes (1-2 lines), documentation updates, configuration changes, quick expl...

Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.

> [EXPLICIT INVOCATION ONLY] Creates dependency-aware implementation plans optimized for parallel multi-agent execution.

Dispatch explicit disjoint packets exactly

Use when the user wants to view or change claudebase settings like global sync, agent skills sync, auto-push, or machine ID.

Keep gbrain current with this repo's code and refresh agent search guidance in CLAUDE.md. Wraps the gstack-gbrain-sync orchestrator with state (gstack)

Use when the user wants to restore, download, or pull their Claude Code config from GitHub onto this machine.

Use when the user wants to back up, save, or push their current Claude Code config to GitHub.

Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report.

Automate Synthflow AI tasks via Rube MCP (Composio). Always search tools first for current schemas.

Show users how Continuous Claude works - the opinionated setup with hooks, memory, and coordination

Read the latest bounded stdout or stderr from a tracked detached process job. Use to inspect live build progress, benchmark output, test failures, repair diagnostics, or other command output without loading the entire persisted log.

Generate test scenarios, write the test file, and run it for a specific source file using the tailtest R1-R15 rule layer. When the agent needs to (1) cover a file the Stop hook skipped, (2) regenerate tests after refactoring, (3) test a legacy file Codex did not modify this session, or (4) explicitly run tailtest on a named file.

Free AI-first short-form video publishing to TikTok, Instagram Reels, YouTube Shorts, X, and Facebook from AI agents through Taisly.

| Use when the user wants to design, revise, or validate a Tandem workflow (V2 automation, workflow plan, or mission). Acts as a Tandem Workflow Architect: shapes the workflow graph, asks only blocking questions, validates via the Tandem HTTP API, and never applies or runs without explicit user approval. Do not use for general agent-prompt scaffolding unrelated to Tandem, for non-Tandem orchestrators, or for tasks the user intends to execute directly inside Codex without involving the Tandem ...

Decompose complex tasks, design dependency graphs, and coordinate multi-agent work with proper task descriptions and workload balancing. Use this skill when breaking down work for agent teams, managing task dependencies, or monitoring team progress.

> Monitors task execution for skill improvement opportunities. Use this skill during ANY multi-step task, agentic workflow, or substantive work session where the agent is using tools and producing deliverables. It captures patterns, user corrections, workflow insights, and methodology worth preserving as reusable skills. Also triggers during post-task feedback discussions and when the user explicitly mentions skill observations, improvements, the observation log, skill taxonomy, or asks the a...

Turn a list of goals, tasks, deadlines, and working constraints into a practical schedule with next actions and follow-ups.

Master TDD orchestrator specializing in red-green-refactor discipline, multi-agent workflow coordination, and comprehensive test-driven development practices.

Run team-based orchestration for agent squads using work items, ownership, agent Kanban, merge gates, and control pane handoffs.

Interactive agent picker for composing and dispatching parallel teams

Interactive agent picker for composing and dispatching parallel teams

Structured messaging protocols for agent team communication including message type selection, plan approval, shutdown procedures, and anti-patterns to avoid. Use this skill when establishing communication norms for a newly spawned team, when deciding whether to send a direct message or a broadcast, when a team-lead needs to review and approve an implementer's plan before work begins, when orchestrating a graceful team shutdown after all tasks are complete, or when debugging why teammates are ...

Design optimal agent team compositions with sizing heuristics, preset configurations, and agent type selection. Use this skill when deciding how many agents to spawn for a task, when choosing between a review team versus a feature team versus a debug team, when selecting the correct subagent_type for each role to ensure agents have the tools they need, when configuring display modes (tmux, iTerm2, in-process) for a CI or local environment, or when building a custom team composition for a non-...

Org-level agent team designer via `epic team` CLI (cross-project, append-merge). Subcommands: list, show, sync, link, unlink, history. Use when setting up agents, designing teams, or /spec yields 3+ requirements.