Results for “agent-to-agent”

Resolves legacy references to the product-manager capability by routing to the current runtime agent or skill.

Strategic business analyst and requirements expert. Use when the user asks to talk to Mary or requests the business analyst.

UX designer and UI specialist. Use when the user asks to talk to Sally or requests the UX designer.

Strategic business analyst and requirements expert. Use when the user asks to talk to Mary or requests the business analyst.

UX designer and UI specialist. Use when the user asks to talk to Sally or requests the UX designer.

Strategic business analyst and requirements expert. Use when the user asks to talk to Mary or requests the business analyst.

UX designer and UI specialist. Use when the user asks to talk to Sally or requests the UX designer.

You are the git ops agent. You handle the git operations that are too risky or complex to do casually — rebases,...

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming. Use when you need to build complex AI systems, program LMs declaratively, optimize prompts automatically, create modular AI pipelines, or build RAG systems and agents.

Interpreted crypto wallet data for AI agents. Use when an agent needs portfolio values, token positions, DeFi positions, NFT holdings, transaction history, PnL data, token prices, charts, gas prices, swap quotes, or DApp information across 41+ chains. Zerion transforms raw blockchain data into agent-ready JSON with USD values, protocol labels, and enriched metadata. Supports x402 pay-per-request ($0.01 USDC on Base) and API key access. Triggers on mentions of portfolio, wallet analysis, positions, transactions, PnL, profit/loss, DeFi, token balances, NFTs, swap quotes, gas prices, or Zerion.

Capture structured feedback on the Han skills and agents used in the current session and optionally post it as a GitHub issue to testdouble/han. Use at the end of any session where one or more han-* skills or agents ran, to rate a run, log what worked and what didn't, or submit observations for maintainers. Does not review code, investigate bugs, or research options; use code-review, investigate, or research for those. Does not provide feedback on skills or agents from non-Han plugins.

Runs a budget-aware agent-assisted engineering health audit for instruction/config drift, hooks/MCP, verifier surfaces, and AI maintainability. Use when users ask in any language to audit Claude, Codex, Pi, agent instructions, MCP or hooks, verifier coverage, or AI-maintainability drift. Not for debugging application code or reviewing PRs.

Diagnose and fix macOS resource pressure for Claude Code workflows. Use when load avg is high, swap is saturated, CC feels slow, or before spinning up parallel agents/worktrees. Covers CPU top-talkers, swap pressure, zombie claude processes, Node heap tuning, Spotlight/background-agent pruning, and purge. Apple Silicon aware.

Use when an AI agent needs to control a browser, automate web tasks, scrape pages, fill forms, or click buttons autonomously. Triggers on: 'browser automation', 'web agent', 'browser-use', 'AI browse', 'tự động duyệt web', 'điều khiển trình duyệt', 'scrape with AI', 'click button automatically', 'fill form automatically', 'web task automation'.

Adds a persistent pattern or rule that Ralph will remember and apply to future stories.

Coordinate multiple subagents/worktrees for parallel workstreams. Decomposes larger tasks into independent sub-tasks, dispatches each to a dedicated agent.

Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.

Create Cursor hooks. Use to create a hook, write hooks.json, add hook scripts, or automate behavior around agent events.

Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.

Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.

Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.

Machine learning development agent for end-to-end ML workflows: data preprocessing, model training, evaluation, hyperparameter tuning, and deployment

Updates skill documentation and templates to require agents to use their real identity in worklogs instead of hardcoded placeholders.

Resolves legacy references to the cyber-intel capability by routing to the current runtime agent or skill.

Resolves legacy references to the code-reviewer capability by routing to the current runtime agent or skill.

Resolves legacy references to the devops-engineer capability by routing to the current runtime agent or plugin skill.

Resolves legacy references to the conversion-engineer capability by routing to the current runtime agent or skill.

Use this agent when you need to run linting and code quality checks on Ruby and ERB files. Run before pushing to origin.

Technical documentation specialist and knowledge curator. Use when the user asks to talk to Paige or requests the tech writer.

QA engineer for test automation and coverage. Use when the user asks to talk to Quinn or requests the QA engineer.

Technical documentation specialist and knowledge curator. Use when the user asks to talk to Paige or requests the tech writer.

Use when working from the local Biomni repository to run agent-style biomedical tasks or inspect Biomni's biomedical tool modules and examples.

Technical documentation specialist and knowledge curator. Use when the user asks to talk to Paige or requests the tech writer.

Tool lifecycle UI components for React/Next.js from ui.inference.sh. Display tool calls: pending, progress, approval required, results. Capabilities: tool status, progress indicators, approval flows, results display. Use for: showing agent tool calls, human-in-the-loop approvals, tool output. Triggers: tool ui, tool calls, tool status, tool approval, tool results, agent tools, mcp tools ui, function calling ui, tool lifecycle, tool pending

Guide for creating effective agent skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends the agent's capabilities with specialized knowledge, workflows, or tool integrations. Use when user says "create skill", "new skill", "build a skill", "update skill", or asks to make a reusable capability package.

Guide for creating effective agent skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends the agent's capabilities with specialized knowledge, workflows, or tool integrations. Use when user says "create skill", "new skill", "build a skill", "update skill", or asks to make a reusable capability package.