Automate Todoist task management, projects, sections, filtering, and bulk operations via Rube MCP (Composio). Always search tools first for current schemas.

Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.

サブエージェントのコンテキスト問題を解決するために、コンテキスト取得を段階的に洗練するパターン

Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

Automate Render tasks via Rube MCP (Composio): services, deployments, projects. Always search tools first for current schemas.

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

任意の自動コンパクションではなく、タスクフェーズを通じてコンテキストを保持するための論理的な間隔での手動コンパクションを提案します。

Twitter/X platform integration. Post tweets, read timeline, manage followers, and analyze engagement.

Twitter/X platform integration. Post tweets, read timeline, manage followers, and analyze engagement.

Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.

Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.

Use when the user asks to "improve my agent", "self-improving agent", "auto-tune my agent", "iterate on my agent prompt", "fix my agent based on test results", "close the loop on agent quality", "auto-improve agent prompt", "use eval results to improve agent", "optimize my prompt based on failures", "rewrite my prompt", or describes agent self-improvement, prompt iteration from run results, or automated agent quality loops. Covers the full diagnose → propose → apply → re-validate loop for VAPI agents (squads + tool definitions), ElevenLabs Conversational AI agents (system prompt + tool definitions), and for self-hosted agents (pipecat pipelines and custom websocket servers, including the offline / pasted- prompt degenerate variant).

AI builders digest — monitors top AI builders on X and YouTube podcasts, remixes their content into digestible summaries. Use when the user wants AI industry insights, builder updates, or invokes /ai. No API keys or dependencies required — all content is fetched from a central feed.

**UTILITY SKILL** — Machine-readable workflow DAG for the multi-step agent pipeline. Defines node types, edge conditions, gates, and fan-out patterns. WHEN: "orchestrator step routing", "resume from graph", "workflow validation", "workflow DAG", "workflow gate", "fan-out pattern". USE FOR: orchestrator step routing, resume-from-graph, workflow validation. DO NOT USE FOR: Azure infrastructure, code generation, troubleshooting.

Review services, APIs, and multi-component systems for reliability risks including failure modes, cascading failures, resilience gaps, and SLO readiness. Use when the work involves new services, significant service changes, multiple external dependencies, or high blast-radius failure scenarios.

Create, review, or repair recurring Harness Engineering heartbeats that wake a thread, re-check live state, and route back into the right HE stage; use when PRs, CI, reviews, deploys, validation ladders, or compound runs need recurring follow-up until done, blocked, or cancelled.

Prompt for creating Product Requirements Documents (PRDs) for new features, based on an Epic.

Optimize Dart code for performance, type safety, and runtime error prevention. Use when profiling hot paths, enforcing sound typing, handling null safety, or debugging type mismatches and runtime failures.

Define testing strategy, test pyramid, and pattern-based conventions (Golden Variants, State Matrix, Interaction Contracts). Use when establishing test architecture or choosing the right testing approach for a Flutter project.