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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
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"
Create and run durable workflows with steps, streaming, and agent execution. Covers starting, resuming, and persisting workflow results.