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Found 49 Skills
Enforces complete execution, mode-aware delivery, compact sub-agent communication, independent agent-review gating, validation, and reporting for implementation, bugfix, hardening, documentation, specification, architecture, design, review, and post-mortem tasks. Use whenever work must be completed, reviewed, validated, or documented through an explicit execution mode instead of handled ad hoc.
AI agent execution skill for crypto order execution — TWAP, maker execution, transaction cost analysis and slippage reduction. Supports 11 CEX and DEX venues on both perpetual futures and spot: Binance, OKX, Bybit, Bitget, Gate.io, KuCoin, Kraken, Deribit, Hyperliquid, Aster and Orderly. Exchange API keys stay on the user's own machine — no third-party order routing. Install and full docs: https://pypi.org/project/blockfill/
Generate a Product Requirements Document (PRD) for ralph-tui task orchestration. Creates PRDs with user stories that can be converted to beads issues or prd.json for automated execution. Triggers on: create a prd, write prd for, plan this feature, requirements for, spec out.
This skill should be used when creating a Claude Code slash command. Use when users ask to "create a command", "make a slash command", "add a command", or want to document a workflow as a reusable command. Essential for creating optimized, agent-executable slash commands with proper structure and best practices.
Spawn Codex subagents via background shell to offload context-heavy work. Use for: deep research (3+ searches), codebase exploration (8+ files), multi-step workflows, exploratory tasks, long-running operations, documentation generation, or any other task where the intermediate steps will use large numbers of tokens.
Use when you have specs or requirements for a multi-step task to break it down into detailed tasks, before executing it
Dispatch and coordinate parallel agent execution. Manages concurrent task processing with result aggregation and error handling.
Create work-order with minimal context for isolated subagent execution, optionally linked to GitHub issue
Create and run durable workflows with steps, streaming, and agent execution. Covers starting, resuming, and persisting workflow results.
Generate comprehensive documentation with intelligent orchestration and parallel execution
Master skill for parallel subagent-driven execution with automatic fallback to single-agent sequential mode. Use when implementing plans with multiple independent sub-phases (SP1, SP2...) to dispatch parallel subagents, or when requiring code review between implementation and testing.
Autonomous SDLC router. Takes a job, classifies complexity, executes the appropriate lev-* workflow (from trivial fix to full epic), and returns "done" with runnable instructions. One shot to full auto: spec/bd/poc/impl. Subagent returns completion artifact. Triggers: "sidequest", "side quest", "just do it", "autonomous", "one shot"